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Immune checkpoint inhibitors (ICIs) have changed the treatment landscape for patients with non-small cell lung cancer (NSCLC). In spite of durable responses in some patients, many patients develop early disease progression during the ICI treatment. Thus, early identification of patients with no durable benefit would facilitate the clinical decision for these patients. In this prospective, multicenter study, 101 non-EGFR/ALK patients who received ICI treatment were enrolled after screening 328 stage III-IV NSCLC patients. At the date of cutoff, 83 patients were eligible for ICI efficacy evaluation, with 56 patients having progress-free survival (PFS) over 6 months, which was defined as durable clinical benefit (DCB). A multimodal model was established by integrating normalized bTMB, early dynamic of ctDNA and the first RECIST response. This model could robustly predict DCB with area under the curve (AUC) of 0.878, sensitivity of 79.2% at 86.4% specificity (accuracy = 80.0%). This model was further validated in the independent cohort of the DIREct-On study with AUC of 0.887, sensitivity of 94.7% at 85.3% specificity (accuracy = 90.3%). Patients with higher predict scores had substantially longer PFS than those with lower scores (training cohort: median PFS 13.6 vs 4.2 months, P < 0.001, HR = 0.24; validation cohort: median PFS 11.0 vs 2.2 months, P < 0.001, HR = 0.17). Taken together, these results demonstrate that integrating early changes of ctDNA, normalized bTMB, and the first RECIST response can provide accurate, noninvasive, and early prediction of durable benefits for NSCLC patients treated with ICIs. Further prospective studies are warranted to validate these findings and guide clinical decision-making for optimal immunotherapy in NSCLC patients., Competing Interests: Competing interests: Yuanyuan Xiong, Huan Yin, and Rongrong Chen were the employees of Geneplus-Beijing, other authors declare no potential conflict of interests., (© 2024. The Author(s).)

Purpose: Leptomeningeal disease (LMD) is associated with significant morbidity and mortality for metastatic non-small cell lung cancer (NSCLC). We describe our clinical experience in evaluating the use of cerebrospinal fluid (CSF)-derived circulating tumor cells (CTCs) for the diagnosis of LMD and the detection of genomic alterations in CSF cell-free DNA (cfDNA)., Methods: Patients with NSCLC who had CSF collection as part of routine clinical care for suspected LMD were included in the study. CSF was evaluated for CTCs and cfDNA using a commercial assay (CNSide; Biocept, San Diego, CA), and molecular profiling was performed. Molecular testing results from sequencing of tumor tissue and plasma circulating tumor DNA were collected. cMET and human epidermal growth factor receptor 2 (HER2) expression analysis was performed using fluorescence in situ hybridization (FISH)., Results: Twenty-two patients were included (77% female; median age 60 years). Sixty-four percent had sensitizing EGFR mutations, and 32% had an atypical EGFR mutation. Thirteen of the 22 patients (59%) were diagnosed with LMD using the CSF CTC assay. Five of these 13 patients (38%) had negative CSF cytology for LMD, and two patients (15%) had normal magnetic resonance imaging brain imaging. Seven of the 13 patients (54%) had sufficient CTCs to perform molecular profiling. The concordance with tissue next-generation sequencing was 100%, and the driver mutation was identified in all seven patients with the CSF cfDNA assay. cMET expression and HER2 expression via FISH were noted in 11 patients (50%) and four patients (18%) respectively., Conclusion: We detected higher sensitivity to diagnose LMD using CSF CTC-based assay; 38% of LMD cases identified using this assay were missed by standard CSF cytology. CSF molecular testing using CSF cfDNA demonstrated high concordance with tissue-based molecular testing.

Introduction: Osimertinib resistance inevitably occurs in EGFR mutated NSCLC. We aimed to identify resistance mechanisms (RM) using paired plasma and tumor samples in patients that progressed on 2nd/3rd line osimertinib., Methods: From 09 - 2019 to 02 - 2021, 51 patients were enrolled. Plasma sequencing used AVENIO Expanded Panel (research use only), tumor biopsies underwent DNA and RNA sequencing and histological evaluation. Sequencing was regarded successful when the driver mutation was confirmed with a variant allele frequency of ≥0.10%. Concordance between modalities was calculated for the driver mutation and RMs covered in both modalities. The Molecular Tumor Board formulated a treatment advice., Results: The driver mutation was detected in 42/51 plasma samples (82%) and in 50/51 tumor samples (98%), concordance rate was 80%. In 41/51 (80%) patients ≥1 RM was identified. Thirty-two RMs covered in both modalities were found in plasma (61.5%), 39 in tumor (75%), nineteen in both. RM concordance rate was 36.5%., Conclusion: Combined analysis of plasma and tumor samples post 2nd/3rd line osimertinib identifies additional RMs regardless of the comparative approach used. Plasma sequencing identified 61.5% of RMs, tumor analysis identified 75%. Combined, they provide a superior overview of osimertinib resistance, enabling more tailored treatment options., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Baas reports a grant from BMS, unrestricted to the hospital, as well as consulting fees paid to the hospital by BMS, MSD, AMheart, payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events to the hospital from BMS. Burgers reports a grant from MSD as support for an investigator initiated study, payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events to the hospital from MSD, participation on a data safety monitoring board or advisory board with Roche, paid to the hospital, and receipt of free drugs for an investigator initiated study from MSD. Hashemi reports grants from AstraZeneca, Boehringer Ingelheim, BMS, Lilly, Janssen, GSK, MSD, Novartis, Roche and Takeda, all to the institution. De Langen reports grants from BMS, grants from MSD, grants from Boehringer, non-financial support from Merck Serono, grants from AstraZeneca, non-financial support from Roche, outside the submitted work. Monkhorst reports consulting fees from Lilly, Bayer and Amgen, all paid to the institution. Smit reports consulting fees from Eli Lilly, AstraZeneca, MSD, Merck, BMS, DSI, Takeda and Boehringer Ingelheim, all paid to the institution, payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Boehringer Ingelheim, and participation on a data safety monitoring board or advisory board with DSI. Theelen reports grants from Sanofi/Regeneron and MSD to the institution. Boelens, Bosch, Buikhuisen, van den Broek, Jebbink, van der Noort, Steinbusch, Ruiter, Vermeulen, van der Wel declare no potential conflict of interest., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Immune checkpoint inhibitors (ICIs), particularly anti-programmed death 1 (PD-1)/ programmed death ligand 1 (PD-L1) antibodies, have led to significant progress in lung cancer treatment. However, only a minority of patients have responses to these therapies. Detecting peripheral blood of circulating tumor DNA (ctDNA) allows minimally invasive diagnosis, characterization, and monitoring of lung cancer. ctDNA has potential to be a prognostic biomarker and a predictor of the response to ICI therapy since it can indicate the genomic status and tumor burden. Recent studies on lung cancer have shown that pretreatment ctDNA analysis can detect residual proliferative disease in the adjuvant immunotherapy setting and evaluate tumor burden in patients with metastatic disease. Early ctDNA dynamics can not only predict the clinical outcome of ICI therapy but also help distinguish between pseudoprogression and real progression. Furthermore, in addition to quantitative assessment, ctDNA can also detect genetic predictors of response to ICI therapy. However, barriers still exist in the application of ctDNA analysis in clinical lung cancer treatment. The predictive value of ctDNA in lung cancer immunotherapy requires further identification and resolution of these challenges. This review aims to summarize the existing data of ctDNA analysis in patients receiving immunotherapy for lung cancer, understand the limitations of clinical treatment, and discuss future research directions., Competing Interests: Declarations Ethics approval and consent to participate Not applicable. Competing interests The authors declare no competing interests., (© 2024. The Author(s).)

Purpose: The ETOP 10-16 BOOSTER study was a randomized phase II trial of osimertinib and bevacizumab therapy versus osimertinib therapy in patients with an acquired EGFR T790M mutation. The mechanisms of acquired resistance to osimertinib and bevacizumab have not been described previously., Experimental Design: Next-generation sequencing (Guardant360) was conducted in serial plasma samples. The association between ctDNA and efficacy outcomes was explored, and molecular alterations at progression were described., Results: A total of 136 patients (88% of 155 randomized) had plasma samples at baseline (68 per arm), 110 (71%) at week 9, and 65 (42%) at progression. In a multivariable model for progression-free survival (PFS), the treatment effect was found to differ by smoking status (interaction P = 0.046), with the effect of smoking also differing by baseline EGFR T790M (interaction P = 0.033), whereas both TP53 at baseline and the tissue EGFR exon 21 L858R mutation were significantly associated with worse PFS outcome. Smokers (current/former) without baseline EGFR T790M showed a significant improvement in PFS under combination treatment, albeit with small numbers (P = 0.015). Week-9 EGFR T790M clearance was associated with improved PFS in the osimertinib arm (P = 0.0097). Acquired EGFR C797S mutations were detected in 22% and 13% of patients in the combination and osimertinib arms, respectively., Conclusions: The differential effect of treatment by smoking was not explained by TP53 mutations or other molecular alterations examined. Molecular mechanisms of acquired resistance were detected, but no novel molecular alterations were identified in the combination arm., (©2024 American Association for Cancer Research.)

Annual low-dose CT screening of individuals with a smoking history identifies early curable lung tumors and reduces cancer mortality by 20%, yet only a minority of eligible patients undergo such monitoring. Mazzone and colleagues apply a blood-based cfDNA fragmentomic assay as a high-sensitivity/low-specificity pre-screen to help stratify individuals who may benefit most from more definitive low-dose CT imaging. See related article by Mazzone et al., p. 2224., (©2024 American Association for Cancer Research.)

Cell-free DNA (cfDNA) analysis has shown potential in detecting early-stage lung cancer based on non-genetic features. To distinguish patients with lung cancer from healthy individuals, peripheral blood were collected from 926 lung cancer patients and 611 healthy individuals followed by cfDNA extraction. Low-pass whole genome sequencing and targeted methylation sequencing were conducted and various features of cfDNA were evaluated. With our customized algorithm using the most optimal features, the ensemble stacked model was constructed, called ESim-seq (Early Screening tech with Integrated Model). In the independent validation cohort, the ESim-seq model achieved an area under the curve (AUC) of 0.948 (95 % CI: 0.915-0.981), with a sensitivity of 79.3 % (95 % CI: 71.5-87.0 %) across all stages at a specificity of 96.0 % (95 % CI: 90.6-100.0 %). Specifically, the sensitivity of the ESim-seq model was 76.5 % (95 % CI: 67.3-85.8 %) in stage I patients, 100 % (95 % CI: 100.0-100.0 %) in stage II patients, 100 % (95 % CI: 100.0-100.0 %) in stage III patients and 87.5 % (95 % CI: 64.6%-100.0 %) in stage IV patients in the independent validation cohort. Besides, we constructed LCSC model (Lung Cancer Subtype multiple Classification), which was able to accurately distinguish patients with small cell lung cancer from those with non-small cell lung cancer, achieving an AUC of 0.961 (95 % CI: 0.949-0.957). The present study has established a framework for assessing cfDNA features and demonstrated the benefits of integrating multiple features for early detection of lung cancer., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Introduction: Comprehensive next-generation sequencing (NGS) of non-small-cell lung cancer specimens can identify oncogenic driver mutations and their corresponding targeted therapies. Plasma cell-free DNA (cfDNA) genotyping is easy to perform; however, false negatives cannot be overlooked. We explored malignant pleural effusion (MPE), a rich source of cfDNA, as a non-inferior alternative to tumor tissues for genotyping., Methods: We conducted a prospective trial including 39 patients with newly diagnosed stage IV lung adenocarcinoma who presented with MPE. Tissue tests matching hotspot variants, including EGFR, ALK, and ROS1, were compared with the AlphaLiquid100 of PE-cfDNA., Results: Among the 39 PE-cfDNA samples successfully sequenced, 32 (82.1%) had a PE cell-block tumor content of < 10%. Standard tissue or cell-block testing for EGFR, ALK, and ROS1 identified 20 mutations (51.3%), whereas PE cfDNA identified 25 mutations (64.1%). Five EGFR mutations were observed in PE cfDNA but not in Cobas EGFR owing to coverage or insufficient tumor content issues. The overall rate of oncogenic mutations identified in the PE cfDNA was 92.3%, and the mutation distribution was as follows: even with a very low cfDNA input, high detection rates could be achieved. Otherwise, most patients harbored co-mutations. Comparison of pleural fluid NGS with traditional testing revealed differences in accuracy. We also followed up with patients with EGFR-sensitizing mutations who had a treatment response rate of 97.2% after 3 months., Conclusions: Genotyping of MPE supernatant cfDNA is feasible in clinical practice, in addition to plasma and tumor testing, to improve diagnostic yield and extend patients' benefit from targeted therapies., (© 2024. The Author(s).)

Objectives: The use of tumor-informed circulating tumor DNA (ctDNA) testing in patients with early-stage disease before surgery is limited, mainly owing to restricted tissue access and extended turnaround times. This study aimed to evaluate the clinical value of a tumor-naïve, methylation-based cell-free DNA assay in a large cohort of patients with resected NSCLC., Method: We analyzed presurgical plasma samples from 895 patients with EGFR and anaplastic lymphoma kinase-wild-type, clinical stage I or II NSCLC. The ctDNA status was evaluated for its prognostic significance in relation to tumor volume, metabolic activity, histologic diagnosis, histologic subtypes, and clinical-to-pathologic TNM upstaging., Results: Presurgical ctDNA detection was observed in 55 of 414 patients (13%) with clinical stage I lung adenocarcinoma (LUAD) and was associated with poor recurrence-free survival (2-year recurrence-free survival 69% versus 91%; log-rank p < 0.001), approaching that of clinical stage II LUAD. Presurgical ctDNA detection was not prognostic in patients with clinical stage II LUAD or non-LUAD. Within LUAD, tumor volume and positron emission tomography avidity interacted to predict presurgical ctDNA detection. Moreover, presurgical ctDNA detection was predictive of the postsurgical discovery of International Association for the Study of Lung Cancer grade 3 tumors (p < 0.001) and pathologic TNM upstaging (p < 0.001). Notably, presurgical ctDNA detection strongly correlated with higher programmed death-ligand 1 expression in tumors (positive rates 28% versus 55%, p < 0.001), identifying a subgroup likely to benefit from anti-programmed death-ligand 1 therapies., Conclusion: These findings support the integration of ctDNA testing into routine diagnostic workflows in early-stage NSCLC without the need for tumor tissue profiling. Furthermore, it is clinically useful in identifying patients at high risk who might benefit from innovative treatments, including neoadjuvant immune checkpoint inhibitors., Competing Interests: Disclosure Dr. Dasgupta is a full-time employee of and owns stock in AstraZeneca. Dr. Abbosh is a full-time employee of and owns stock in SAGA Diagnostics and holds patents/patent applications in minimal residual disease detection (PCT/GB2017/053289, PCT/US2017/028013 and PCT/EP2022/077987). Dr. Hung is a full-time employee of GRAIL, LLC and owns stock in Illumina, Inc. Dr. Bredno is a full-time employee of GRAIL, LLC and owns stock in Illumina, Inc, and holds IP from Philips Medical Systems (with remuneration) and Roche (no remuneration). Dr. Walker is a full-time employee of and owns stock in AstraZeneca. Dr. Shi is a full-time employee of and owns stock in AstraZeneca. Dr. Milenkova is a full-time employee of and owns stock in AstraZeneca. Dr. Horn is a full-time employee of and owns stock in AstraZeneca. Dr. Chai is a full-time employee of GRAIL, LLC and owns stock in Illumina, Inc. Rhodes is a full-time employee of GRAIL, LLC and owns stock in Illumina, Inc. Dr. Roychowdhury-Saha is a full-time employee of GRAIL, LLC and owns stock in Illumina, Inc. Dr. Hodgson is a full-time employee of and owns stock in AstraZeneca. Dr. Ahn reports advisory board participation for AstraZeneca, Yuhan, Arcus, Takeda, Amgen, MSD, Merck, Daiichi-Sankyo, Alpha Pharmaceuticals, Pfizer, Voronoi, and Eutilex and advisory roles for AstraZenceca, Yuhan, Arcus, Takeda, Amgen, MSD, Merck, Daiichi-Sankyo, Alpha Pharmaceuticals, and Pfizer. The remaining authors declare no conflict of interest., (Copyright © 2024 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)

Objective: The study objective was to evaluate the impact of monitoring circulating tumor DNA on the detection and management of recurrence in patients with resected early-stage non-small cell lung cancer., Methods: Between October 2021 and March 2023, postoperative circulating tumor DNA was monitored in patients with non-small cell lung cancer (N = 108). Longitudinal blood samples (n = 378 samples) were collected for prospective circulating tumor DNA analysis at 3-month intervals after curative-intent resection. A tumor-informed assay was used for the detection and quantification of circulating tumor DNA. The primary outcome measure was a circulating tumor DNA-positive result. The secondary outcome measure was changes in practice after a circulating tumor DNA-positive result., Results: The mean age of the patients in this cohort was 68.1 years. Of the 108 patients, 12 (11.1%) were circulating tumor DNA positive at least at 1 timepoint postsurgery, of whom 8 (66.7%) had a clinically evident recurrence and the remaining 4 had limited clinical follow-up. Of the 10 patients with recurrent disease, 8 demonstrated circulating tumor DNA positivity and the remaining 2 patients had brain-only metastases. Postoperative clinical care was altered in 100% (12/12) of circulating tumor DNA-positive patients, with 58.3% (7/12) receiving an early computed tomography scan and 100% (12/12) receiving an early positron emission tomography computed tomography scan as part of their surveillance strategy. Among the patients who received an early positron emission tomography scan, 66.6% (8/12) were positive for malignant features., Conclusions: Routine monitoring of tumor-informed circulating tumor DNA after curative intent therapy improved patient risk stratification and prognostication., Competing Interests: Conflict of Interest Statement S.S., G.B., C.C.P, M.K., and M.C.L. are employees at Natera, Inc, with stock or options to own stock. M.C.L. received grants (funding to Mayo Clinic) from Eisai, Exact Sciences, Genentech, Genomic Health, GRAIL, Menarini Silicon Biosystems, Merck, Novartis, Seattle Genetics, and Tesaro, and travel support from AstraZeneca, Genomic Health, and Ionis. All other authors reported no conflicts of interest. The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling or reviewing manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest., (Copyright © 2024. Published by Elsevier Inc.)

Introduction: EGFR tyrosine kinase inhibitor (EGFR-TKI)-sensitizing and -resistance mutations may be detected in plasma through circulating tumor DNA (ctDNA). Circulating tumor DNA level changes reflect alterations in tumor burden and could be a dynamic indicator of treatment effect. This analysis aimed to determine whether longitudinal EGFR-mutation ctDNA testing could detect progressive disease (PD) before radiologic detection., Methods: This was a retrospective, exploratory ctDNA analysis in two phase 3 trials (FLAURA, NCT02296125; AURA3, NCT02151981). Patients had treatment-naïve (FLAURA) or EGFR-TKI pre-treated (AURA3) advanced NSCLC with EGFR mutations and on-study PD (RECIST [Response Evaluation Criteria in Solid Tumors]), with a baseline ctDNA result and EGFR-mutation ctDNA monitoring beyond Cycle 3 Day 1. Patients received osimertinib versus comparator EGFR-TKIs (FLAURA) or chemotherapy (AURA3). Outcomes included time from ctDNA PD to RECIST PD and the first subsequent treatment (FLAURA only)., Results: Circulating tumor DNA PD preceded or co-occurred with RECIST-defined PD in 93 out of 146 patients (64%) in FLAURA and 82 out of 146 patients (56%) in AURA3. Median time from ctDNA PD to RECIST-defined PD (mo) was 3.4 and 2.6 in the osimertinib and comparator EGFR-TKI arms (FLAURA) and 2.8 and 1.5 in the osimertinib and chemotherapy arms (AURA3). In FLAURA, the median time from ctDNA PD to the first subsequent treatment (mo) was 6.0 and 4.7 in the osimertinib (n = 51) and comparator EGFR-TKI arms (n = 70)., Conclusions: Among patients with EGFR mutation-positive advanced NSCLC receiving EGFR-TKI or chemotherapy with ctDNA data and RECIST-defined PD, ctDNA PD preceded/co-occurred with RECIST-defined PD in approximately 60% of cases. Longitudinal ctDNA monitoring may detect PD before radiologic PD., Competing Interests: Disclosure Dr. Gray reports participation on the board of directors for IASLC; consulting or advisory fees from AbbVie, AstraZeneca, Blueprint Medicines, Daiichi-Sankyo, EMD Serono, Gilead Sciences, Inc., IDEOlogy Health, Janssen Scientific Affairs, LLC, Jazz Pharmaceuticals, Loxo Oncology Inc., Merck & Co., Novartis, OncoCyte, Spectrum ODAC, Takeda, and Triptych Health Partners; research grants from AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Genentech, G1 Therapeutics, Ludwig Institute of Cancer Research, Merck & Co., Novartis, and Pfizer; employment with Moffitt Cancer Center; holding a leadership role as SWOG Lung Committee Chair and ASCO Education Committee Ex-Chair; and payments/honoraria from AbbVie, AstraZeneca, Blueprint Medicines, Daiichi-Sankyo, EMD Serono, Gilead Sciences, Inc., IDEOlogy Health, Janssen Scientific Affairs, LLC, Jazz Pharmaceuticals, Loxo Oncology Inc., Merck & Co., Novartis, OncoCyte, Spectrum ODAC, Takeda, and Triptych Health Partners. Dr. Markovets reports employment with AstraZeneca. Dr. Reungwetwattana reports honoraria from Amgen, AstraZeneca, Bristol Myers Squibb, Merck Sharp & Dohme, Novartis, Roche, Takeda, Yuhan, and Zuellig; and research grants from AstraZeneca, Novartis, Roche, and Yuhan. Dr. Majem reports honoraria from Amgen, AstraZeneca, BeiGene, Bristol Myers Squibb, Helsinn Therapeutics, Immedica, Janssen, Merck Sharp & Dohme, Novartis, Pfizer, Pierre Fabre, Roche, Sanofi, and Takeda; research grants from AstraZeneca, Bristol Myers Squibb, and Roche; and travel support from AstraZeneca, Eli Lilly, Merck Sharp & Dohme, Pfizer and Roche. Dr. Cho reports an advisory role for Bridge Biotherapeutics, Inc., Cyrus Therapeutics, Inc., Guardant Health, Joseah BIO, and KANAPH Therapeutic, Inc.; participation on boards of directors for Gencurix, Inc. and Interpark Bio Convergence Corp.; consulting fees from AstraZeneca, Blueprint Medicines, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Janssen, Medpacto, Merck Sharp & Dohme, Novartis, Ono Pharma Co., Ltd., Pfizer, Roche, Takeda, and Yuhan; employment with Yonsei University College of Medicine; being a founder of DAAN Biotherapeutics; grants or funding from AbbVie, AstraZeneca, Bayer, Blueprint Medicines, Champions Oncology, Dizal Pharmaceutical Co., Ltd., Dong-A ST, Eli Lilly, GI Innovation, Interpark Bio Convergence Corp., Janssen, Medpacto, Merck Sharp & Dohme, MOGAM Institute, Novartis, Ono Pharma Co., Ltd., and Yuhan; royalties from Champions Oncology; and stock or stock options with Bridge Biotherapeutics, Inc., Cyrus Therapeutics, Inc., Gencurix, Inc., KANAPH Therapeutic, Inc., Interpark Bio Convergence Corp., and TheraCanVac, Inc. Dr. Chewaskulyong reports honoraria and research grants from AstraZeneca. Dr. John reports consulting fees from Amgen, AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Gilead Sciences, Inc., Ignyta, Merck Sharp & Dohme, Merck KGaA, Novartis, Pfizer, PharmaMar, Roche/Genentech, and Specialised Therapeutics; honoraria from AstraZeneca/MedImmune, Bristol Myers Squibb, Merck Sharp & Dohme, and Roche/Genentech; and travel support from AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Merck Sharp & Dohme, and Roche. Dr. Sebastian reports participation on an advisory board for Amgen; consulting fees from Amgen, AstraZeneca, Boehringer lngelheim, Bristol Myers Squibb, GSK, Johnson & Johnson, Eli Lilly, Merck Sharp & Dohme, Merck Serono, Novartis, Roche, and Takeda; grants or contracts from AstraZeneca; honoraria from Amgen, AstraZeneca, BioNTech, Boehringer lngelheim, Bristol Myers Squibb, CureVac, Daiichi-Sankyo, GSK, Johnson & Johnson, Eli Lilly, Merck Sharp & Dohme, Merck Serono, Novartis, Pfizer, Roche, and Takeda; and travel support from Bristol Myers Squibb and Pfizer. Drs Todd, Rukazenkov, Barrett, and Chmielecki report employment and holding stock or stock options with AstraZeneca. Dr. Ramalingam reports personal fees from Amgen, AstraZeneca, Bristol Myers Squibb, Genentech, GSK, Merck, Takeda, and Tesaro and other non-financial support from AstraZeneca. Dr. Hartmaier reports being an inventor on patent US11066709B2, and employment and holding stock or stock options with AstraZeneca. The remaining authors declare no conflict of interest., (Copyright © 2024 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)

Circulating cell-free DNA (cfDNA) assays for monitoring individuals with cancer typically rely on prior identification of tumor-specific mutations. Here, we develop a tumor-independent and mutation-independent approach (DELFI-tumor fraction, DELFI-TF) using low-coverage whole genome sequencing to determine the cfDNA tumor fraction and validate the method in two independent cohorts of patients with colorectal or lung cancer. DELFI-TF scores strongly correlate with circulating tumor DNA levels (ctDNA) (r = 0.90, p < 0.0001, Pearson correlation) even in cases where mutations are undetectable. DELFI-TF scores prior to therapy initiation are associated with clinical response and are independent predictors of overall survival (HR = 9.84, 95% CI = 1.72-56.10, p < 0.0001). Patients with lower DELFI-TF scores during treatment have longer overall survival (62.8 vs 29.1 months, HR = 3.12, 95% CI 1.62-6.00, p < 0.001) and the approach predicts clinical outcomes more accurately than imaging. These results demonstrate the potential of using cfDNA fragmentomes to estimate tumor burden in cfDNA for treatment response monitoring and clinical outcome prediction., (© 2024. The Author(s).)

Background: Lazertinib is a potent, irreversible, third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) with significant efficacy in patients with EGFR T790M-mutated non-small cell lung cancer (NSCLC). This is the final overall survival (OS) report from the phase 1/2 LASER201 study in patients with advanced NSCLC with disease progression on or after prior EGFR TKI therapy., Methods: Eligible patients were aged ≥ 20 years, with advanced EGFR-mutated NSCLC and previous therapy with EGFR TKI. Patients in this integrated analysis received oral lazertinib 240 mg/day. Endpoints included efficacy and safety; exploratory analyses included associations between circulating EGFR-mutant tumor DNA (ctDNA) and efficacy parameters., Results: This integrated analysis included 78 patients in Korea who received second- or later-line lazertinib. The median OS was 38.9 months; estimated survival rates at 12, 24, and 36 months were 89.5%, 73.9%, and 52.8%, respectively. The cumulative 12-month incidence of central nervous system progression was 9.4%. EGFR-mutant ctDNA was detected in 46 patients (62.2%) at baseline. The presence of ctDNA at baseline significantly predicted progression-free survival (PFS), disease control rate (DCR), and OS. PFS, response rate, and DCR were significantly associated with EGFR-mutant ctDNA clearance at cycle 3; PFS and OS were significantly associated with ctDNA clearance at cycle 5. The safety profile of lazertinib 240 mg/day was consistent with previous findings., Conclusions: Lazertinib is a promising treatment option for patients with EGFR T790M-positive NSCLC following disease progression on prior EGFR-directed TKIs. Patients in LASER201 experienced prolonged OS, regardless of their EGFR mutation, brain metastases, or prior brain radiation status. Clearance of plasma EGFR mutations after lazertinib was associated with patient outcomes., Trial Registration: ClinicalTrials.gov identifier NCT03046992., (© 2024. The Author(s).)

Plasma epidermal growth factor receptor mutation (EGFRm) circulating tumor DNA (ctDNA) dynamics exhibit promise in predicting outcomes in patients with EGFRm-advanced non-small cell lung cancer (NSCLC). However, there remains limited trial-level data on integrating ctDNA monitoring into clinical practice. We performed a prospective, multicenter trial to investigate the relationship between EGFRm ctDNA dynamic changes and clinical outcomes in NSCLC patients with EGFRm. Ninety-eight treatment-naive EGFRm-advanced NSCLC patients were recruited and administered icotinib until disease progression. Plasma samples were collected at baseline and four weeks after icotinib administration. ctDNA was analyzed using a droplet-digital polymerase chain reaction. At baseline, 71.4% of patients had detectable EGFRm ctDNA. Among them, 45.9% of patients' ctDNA became undetectable within four weeks of treatment. These patients demonstrated significantly longer progression-free survival (PFS) and overall survival (OS) than those with detectable ctDNA after treatment (P = 0.004 and < 0.001, respectively) and were comparable to those with undetectable ctDNA at both baseline and four weeks. ctDNA detectable at four weeks emerged as a poor independent risk factor for PFS and OS. Patients whose ctDNA became undetectable after treatment had outcomes similar to those with initially undetectable ctDNA, underscoring the predictive value of ctDNA dynamics in treatment efficacy.Registry and the Registration No. of the study/trial: ChiCTR-DDD-17013131. Date of registration: 2017-10-27., (© 2024. The Author(s).)

Introduction: There is an urgent clinical need to accurately predict the risk for disease progression in post-treatment NSCLC patients, yet current ctDNA mutation profiling approaches are limited by low sensitivity. We represent a non-invasive liquid biopsy assay utilizing cfDNA neomer profiling for predicting disease progression in 44 inoperable localized NSCLC patients., Methods: A total of 97 plasma samples were collected at various time points during or post-treatments (TP1: 39, TP2: 33, TP3: 25). cfDNA neomer profiling, generated based on target sequencing data, was used to fit survival support vector machine models for each time point. Leave-one-out cross-validation (LOOCV) was performed to evaluate the models' predictive performances., Results: Our cfDNA neomer profiling assay showed excellent performance in detecting patients with a high risk for disease progression. At TP1, the high-risk patients detected by our model showed an increased risk of 3.62 times (hazard ratio [HR] = 3.62, p = 0.0026) for disease progression, compared to 3.91 times (HR = 3.91, p = 0.0022) and 4.00 times (HR = 4.00, p = 0.019) for TP2 and TP3. These neomer profiling determined HRs were higher than the ctDNA mutation-based results (HR = 2.08, p = 0.074; HR = 1.49, p&#x02009;=&#x02009;0.61) at TP1 and TP3. At TP1, the predictive model reached 40% sensitivity at 92.9% specificity, outperforming the mutation-based method (40% sensitivity at 78.6% specificity), while the combination results reached a higher sensitivity (60%). Finally, the longitudinal analysis showed that the combination of neomer and ctDNA mutation-based results could predict disease progression with an excellent sensitivity of 88.9% at 80% specificity., Conclusion: In conclusion, we developed a cfDNA neomer profiling assay for predicting disease progression in inoperable NSCLC patients. This assay showed increased predicting power during and post-treatment compared to the ctDNA mutation-based method, thus illustrating a great clinical potential to guide treatment decisions in inoperable NSCLC patients., Trial Registration: ClinicalTrials.gov: NCT04014465., (© 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.)

Background: Circulating tumor DNA (ctDNA) has emerged as a promising biomarker for noninvasive cancer diagnostics, particularly in the context of metastatic non-small-cell lung cancer (NSCLC). Detecting targetable variants through ctDNA analysis offers the potential to guide treatment decisions, especially in cases where tissue samples are insufficient or unavailable., Method: In this study, we developed and validated a next-generation sequencing panel targeting 101 cancer-related genes (101-test) to detect somatic variants in ctDNA from a large cohort of Chinese patients with metastatic NSCLC. The performance of the 101-test was assessed by evaluating its limit of detection (LOD), accuracy, and precision in identifying molecular variants. Additionally, the concordance between ctDNA and tissue samples for detecting targetable variants was analyzed in 904 patients., Results: The 101-test demonstrated a LOD of 0.38% for single-nucleotide variants (SNVs), 0.33% for insertions and deletions (InDels), and 0.33% for fusions. Sensitivity was 98.3% for SNVs, 100% for InDels, and 100% for fusions when compared to digital droplet PCR (ddPCR)/breakpoint PCR reference methods. The by-variant sensitivity for somatic variants was 97.5%, with a specificity of 99.9% between tumor-only and tumor-normal analyses. In a real-world cohort, the concordance between ctDNA and tissue samples for identifying targetable variants was 72.2% (457/633). Notably, the EGFR S768I variant, recently recommended by clinical guidelines, achieved an 80% concordance rate. Furthermore, 4.3% of patients (27/633) with targetable variants were identified exclusively through ctDNA testing., Conclusion: The ctDNA-based 101-test is a highly sensitive and specific tool for detecting targetable variants in metastatic NSCLC, particularly in cases with insufficient tissue samples. The findings support the use of ctDNA testing as a reliable and complementary method to traditional tissue-based molecular analysis, enhancing the precision of treatment strategies for NSCLC patients., (© 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.)

Background: Circulating tumor deoxyribonucleic acid (ctDNA) is increasingly applied in clinical practice. This study aimed to explore clinical utility of a minimal invasive and sensitive way of ctDNA for next-generation sequencing in non-small cell lung cancer (NSCLC) with inadequate tumor samples., Methods: Targeted DNA sequencing was performed on tissue biopsies and matched plasma samples from 60 patients with NSCLC., Results: A total of 13 driving genes were detected in 60 matched tissue DNA (tDNA) and ctDNA samples. Overall concordance rate was 75.47%, with 77.55% sensitivity and 50% specificity. Epidermal growth factor receptor (EGFR) mutations were the most common in both tDNA and ctDNA samples. Among other mutated genes were tumor protein p53 (TP53), erb-b2 receptor tyrosine kinase 2 (ERBB2), anaplastic lymphoma kinase (ALK), cyclin-dependent kinase inhibitor 2A (CDKN2A), ros proto-oncogene 1, and receptor tyrosine kinase (ROS1). Mutations in b-raf proto-oncogene, serine/threonine kinase (BRAF), cluster of differentiation 274 (CD274), neurotrophin receptor tyrosine kinase 1 (NTRK1), and rearranged during transfection (RET) occurred only in plasma. The majority of mutations in both samples were single-nucleotide variants. Deletions were found in EGFR, BRAF, and TP53 in ctDNA, whereas in tDNA, deletions were only found in EGFR. In ALK, single nucleic acid-site amplification occurred simultaneously in tissue and plasma, but insertions and copy number variations were detected only in plasma., Conclusions: Identifying ctDNA mutations by targeted sequencing in plasma is feasible, showing the clinical value of ctDNA-targeted sequencing in NSCLC patients when tumor tissue sampling is insufficient or even impossible., (© 2024 The Author(s). Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.)

Solid tumour tissue has traditionally been used for cancer molecular diagnostics. Recently, biomarker assessment in blood or liquid biopsies has become relevant because it allows genotyping in a less invasive and costly manner. In addition, it is a very useful technique in cases with insufficient tumour samples. Recent data have shown that this method can provide the baseline molecular characteristics of the tumour and resistance changes that emerge during cancer treatment. In terms of diagnostic application, the platforms available for clinical use in lung cancer focus on the isolation and detection of circulating DNA (ctDNA) and generally cover a limited number of mutations in genes such as epidermal growth factor receptor (EGFR), Kirsten rat sarcoma viral oncogene homolog (KRAS) and BRAF, as well as anaplastic lymphoma kinase (ALK) rearrangements. In parallel, there are plasma genotyping platforms based on next-generation sequencing (NGS) techniques, which are much broader in scope, allowing multiple genes to be studied simultaneously in a more efficient manner. More recently, promising research scenarios for liquid biopsy have emerged, such as its utility for early diagnosis and evaluation of minimal residual disease after oncological treatment. In light of these advances, knowledge of the benefits and limitations of liquid biopsy, as well as awareness of emerging information on new indications for this technique in non-small cell lung cancer (NSCLC), are of paramount importance in developing more effective management strategies for patients with this neoplasm., (Copyright © 2024 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.)

Introduction: No definitive answers currently exist regarding optimal first-line therapy for HER2-mutant NSCLC. Access to rapid tissue sequencing is a major barrier to precision drug development in the first-line setting. ctDNA analysis has the potential to overcome these obstacles and guide treatment., Methods: We retrospectively analyzed patients with metastatic HER2-mutant NSCLC who underwent prospective clinical ctDNA sequencing and received systemic therapy at Memorial Sloan Kettering Cancer Center (MSK) from January 2016 to September 2022. HER2 mutations were identified by next-generation sequencing through MSK-IMPACT, MSK-ACCESS or Resolution ctDx LungTM assay. Primary endpoints were time to the next treatment (TTNT) and overall survival (OS)., Results: Sixty-three patients were included in the primary analysis. Chemoimmunotherapy (33/63, 52.4 %) was the predominant first-line treatment with a median TTNT of 5.1 months (95 %CI 4.1 - 6.1) whereas 55.0 % (22/40) of patients who received second-line T-DXd obtained a median TTNT of 9.2 m (95 % CI, 0-22.2). Plasma ctDNA was tested before first-line therapy in 40 patients with a median OS of 28.0 months (95 % CI 21-34), in whom 31 patients (78.0 %) had detectable ctDNA. HER2 mutations were detected on ctDNA with a median turnaround time of 13 days, occasionally co-occurred with EGFR and MET alterations and were tracked longitudinally correlating with treatment response. Patients with detectable baseline ctDNA had significantly shorter OS (hazard ratio (HR), 5.25; 95 % CI, 1.2-23.9; p = 0.019)., Conclusion: Chemoimmunotherapy remains a major treatment option for metastatic HER2-mutant NSCLC. ctDNA can rapidly detect HER2 and co-mutations, and it has the potential to guide and monitor optimal first-line therapy. As a negative prognostic biomarker, detectable ctDNA at baseline would need to be taken into account for patient selection in future studies., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Bob T. Li has served as an uncompensated advisor and consultant to Amgen, AstraZeneca, Boehringer Ingelheim, Bolt Biotherapeutics, Daiichi Sankyo, Genentech, and Lilly. He has received research grants to his institution from Amgen, AstraZeneca, Bolt Biotherapeutics, Daiichi Sankyo, Genentech, Jiangsu Hengrui Pharmaceuticals, Lilly, Nuvalent, and Revolution Medicines. He has received academic travel support from Amgen. He is an inventor on three institutional patents at MSK (US62/685,057, US62/514,661, US63/424,813) and has intellectual property rights as a book author at Karger Publishers and Shanghai Jiao Tong University Press. Alexander Drilon declared as follows: Honoraria: 14ner/Elevation Oncology, Amgen, Abbvie, ArcherDX, AstraZeneca, Beigene, BergenBio, Blueprint Medicines, Bristol Myers Squibb, Chugai Pharmaceutical, EcoR1, EMD Serono, Entos, Exelixis, Helsinn, Hengrui Therapeutics, Ignyta/Genentech/Roche, Janssen, Loxo/Bayer/Lilly, Merus, Monopteros, MonteRosa, Novartis, Nuvalent, Pfizer, Prelude, Regeneron, Repare RX, Springer Healthcare, Takeda/Ariad/Millenium, Treeline Bio, TP Therapeutics, Tyra Biosciences, Verastem. Advisory Boards: Bayer, MonteRosa, Abbvie, EcoR1 Capital, LLC, Amgen, Helsinn, Novartis, Lilly, AnHeart Therapeutics. Consulting: MonteRosa, Innocare, Boundless Bio, Treeline Bio, Nuvalent, 14ner/Elevation Oncology, Entos, Prelude. Associated Research Paid to Institution: Foundatin Medicine, GlaxoSmithKlein, Teva, Taiho, PharmaMar. Equity: mBrace. Copyright: Selpercatinib-Osimertinib (filed/pending). Royalties: Wolters Kluwer; Other (Food/Beverage): Merck, Puma, Merus, Boehringer Ingelheim; CME Honoraria: Answers in CME, Applied Pharmaceutical Science, Inc, AXIS, Clinical Care Options, Doc Congress, EPG Health, Harborside Nexus, I3 Health, Imedex, Liberum, Medendi, Medscape, Med Learning, MedTalks, MJH Life Sciences, MORE Health, Ology, OncLive, Paradigm, Peerview Institute, PeerVoice, Physicians Education, Projects in Knowledge, Resources, Remedica Ltd, Research to Practice, RV More, Targeted Oncology, TouchIME, WebMD. Sarat Chandarlapaty has received institutional grant/funding from Daiichi-Sankyo, AstraZeneca, and Lilly, Shares/Ownership interests in Odyssey Biosciences, Effector Therapeutics, and Totus Medicines, and consultation/Ad board/Honoraria from AstraZeneca, Daiichi-Sankyo, Novartis, Neogenomics, Nuvalent, Blueprint, SAGA Diagnostics, and Effector Therapeutics. Jiannan Guo is a former employee of Resolution Bioscience. Eric Gagne, Kavita Garg and Frederick Baehner are employees of Exact Sciences. All remaining authors have declared no conflict of interest., (Copyright © 2024. Published by Elsevier Ltd.)

Introduction: The current standard of care for patients with inoperable stage III non-small cell lung cancer includes chemoradiotherapy (CRT) followed by 1 year of checkpoint inhibitor (CPI) therapy. Nevertheless, the optimal duration of consolidation CPI remains unknown. Here, we characterized the relationship between circulating tumor DNA (ctDNA) minimal residual disease (MRD) and clinical outcomes of patients with unresectable locally advanced non-small cell lung cancer treated on a phase 2 trial of short-course consolidation immunotherapy after CRT, with the goal of testing whether ctDNA may be able to identify patients who do not require a full year of treatment., Methods: Plasma samples for ctDNA analysis were collected from patients on the Big Ten Cancer Research Consortium LUN 16-081 trial after completion of CRT, before day 1 of cycle 2 (C2D1) of CPI (i.e., 1 mo after treatment start), and at the end of up to 6 months of treatment. Tumor-informed ctDNA MRD analysis was performed using cancer personalized profiling by deep sequencing. Levels of ctDNA at each time point were correlated with clinical outcomes., Results: Detection of ctDNA predicted significantly inferior progression-free survival after completion of CRT (24-mo 29% versus 65%, p = 0.0048), before C2D1 of CPI (24-mo 0% versus 72%, p < 0.0001) and at the end of CPI (24-mo 15% versus 67%, p = 0.0011). In addition, patients with decreasing or undetectable ctDNA levels after 1 cycle of CPI had improved outcomes compared with patients with increasing ctDNA levels (24-mo progression-free survival 72% versus 0%, p < 0.0001). Progression of disease occurred within less than 12 months of starting CPI in all patients with increasing ctDNA levels at C2D1., Conclusions: Detection of ctDNA before, during, or after 6 months of consolidation CPI is strongly associated with inferior outcomes. Our findings suggest that analysis of ctDNA MRD may enable personalizing the duration of consolidation immunotherapy treatment., Competing Interests: Disclosure Dr. Durm receives support from Bristol-Myers Squibb; grants or contracts from AstraZeneca, Merck, and Mirati; consulting fees from Cook Biotech; payments or honoraria from Curio Science, DAVA Oncology, and AstraZeneca; and participates on an advisory board for Curio Science, DAVA oncology, and AstraZeneca. Dr. Ganti receives research grants or contracts from VA Office of Research and Development, Merck, TAB Biosciences, NEKTAR Therapeutics, Mirati Therapeutics, IOVANCE Therapeutics, and Apexigen; royalties or licenses from Oxford University Press; consulting fees from AstraZeneca, Flagship Biosciences, G1 Therapeutics, Jazz Pharmaceuticals, Cardinal Health, Mirati Therapeutics, Beigene Ltd., Sanofi Genzyme, Blueprint Medicines, and Regeneron Pharmaceuticals; payments or honoraria from MedLearning Group and Plexus Communications; participates on a data safety monitoring board for YmAbs Therapeutics; holds leadership or fiduciary roles at Academic and Community Cancer Research United and A Breath of Hope for Lung Cancer; and has received equipment or materials from Takeda Pharmaceuticals and Chimerx. Dr. Alizadeh receives research grants or contracts from the National Cancer Institute, National Heart, Lung and Blood Institute, National Institutes of Health, Celgene, Bristol-Myers Squibb, and Pfizer; consulting fees from ADCT, Celgene, Chugai, Genentech, Gilead, Janssen, Pharmacyclics, and Roche; has patents planned, issued, or pending with FortySeven Inc., Foresight Diagnostics, CiberMed Inc., and Roche; participates on a data safety monitoring board for Lymphoma Research Foundation; holds leadership or fiduciary roles at the American Society of Hematology, American Society of Clinical Oncology, American Society of Clinical Investigation, and Leukemia & Lymphoma Society; and has equity ownership interests in CiberMed Inc., Foresight Diagnostics, FortySeven Inc., and CARGO Therapeutics. Dr. Hanna receives grants or contracts from Merck, Genentech, Bristol-Myers Squibb, and Natera. Dr. Diehn receives grants or contracts from AstraZeneca and Varian Medical Systems; royalties or licenses from Roche and Foresight Diagnostics; consulting fees from AstraZeneca, Boehringer Ingelheim, Genentech, Illumina, Gritstone Bio, and Regeneron; payments or honoraria from Bristol-Myers Squibb, Japan, and Novartis; support for attending meetings or travel from Foresight Diagnostics and Regeneron; has patents planned, issued, or pending with Stanford University; holds leadership or fiduciary roles at Foresight Diagnostics; and holds stock or stock options in CiberMed Inc., Foresight Diagnostics, and Gritstone Bio. The remaining authors declare no conflict of interest., (Copyright © 2024 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)

The advent of liquid biopsies has brought significant changes to the diagnosis and monitoring of non-small cell lung cancer (NSCLC), presenting both promise and challenges. Molecularly targeted drugs, capable of enhancing survival rates, are now available to around a quarter of NSCLC patients. However, to ensure their effectiveness, precision diagnosis is essential. Circulating tumor DNA (ctDNA) analysis as the most advanced liquid biopsy modality to date offers a non-invasive method for tracking genomic changes in NSCLC. The potential of ctDNA is particularly rooted in its ability to furnish comprehensive (epi-)genetic insights into the tumor, thereby aiding personalized treatment strategies. One of the key advantages of ctDNA-based liquid biopsies in NSCLC is their ability to capture tumor heterogeneity. This capability ensures a more precise depiction of the tumor's (epi-)genomic landscape compared to conventional tissue biopsies. Consequently, it facilitates the identification of (epi-)genetic alterations, enabling informed treatment decisions, disease progression monitoring, and early detection of resistance-causing mutations for timely therapeutic interventions. Here we review the current state-of-the-art in ctDNA-based liquid biopsy technologies for NSCLC, exploring their potential to revolutionize clinical practice. Key advancements in ctDNA detection methods, including PCR-based assays, next-generation sequencing (NGS), and digital PCR (dPCR), are discussed, along with their respective strengths and limitations. Additionally, the clinical utility of ctDNA analysis in guiding treatment decisions, monitoring treatment response, detecting minimal residual disease, and identifying emerging resistance mechanisms is examined. Liquid biopsy analysis bears the potential of transforming NSCLC management by enabling non-invasive monitoring of Minimal Residual Disease and providing early indicators for response to targeted treatments including immunotherapy. Furthermore, considerations regarding sample collection, processing, and data interpretation are highlighted as crucial factors influencing the reliability and reproducibility of ctDNA-based assays. Addressing these challenges will be essential for the widespread adoption of ctDNA-based liquid biopsies in routine clinical practice, ultimately paving the way toward personalized medicine and improved outcomes for patients with NSCLC., (Copyright © 2024 Elsevier Inc. All rights reserved.)

The assessment of ctDNA has emerged as a minimally invasive avenue for molecular diagnosis and real-time tracking of tumor progression in NSCLC. However, the evaluation of ctDNA by amplicon-based NGS has been not endorsed by all the healthcare systems and remains to be fully integrated into clinical routine practice. To compare tissue single-gene with plasma multiplexed testing, we retrospectively evaluated 120 plasma samples from 12 consecutive patients with advanced non-squamous NSCLC who were part of a prospective study enrolling treatment-naïve patients and in which tissue samples were evaluated using a single-gene testing approach. While the plasma ctDNA detection of EGFR and BRAF mutations had an acceptable level of concordance with the archival tissue (85%), discordance was seen in all the patients in whom ALK alterations were only detected in tissue samples. Among six responders and six non-responders, early ctDNA mutant allelic frequency (MAF) reduction seemed to predict radiologic responses and longer survival, whereas increasing MAF values with the emergence of co-mutations like BRAF V600E , KRAS G12V or TP53 M237I seemed to be an early indicator of molecular and radiologic progression. This report using an amplicon-based NGS assay on ctDNA underscores the real-life need for plasma and tissue genotyping as complementary tools in the diagnostic and therapeutic decision-making process., (© 2024. The Author(s).)

Objectives: This study was performed to investigate the detection rate of EGFR T790M mutation by repeated rebiopsy, to identify the clinical factors related to repeated rebiopsy, and to assess survival outcomes according to the methods and numbers of repeated rebiopsies in patients with lung adenocarcinoma who received sequential osimertinib after failure of previous 1st or 2nd generation EGFR-tyrosine kinase inhibitors., Methods: This retrospective study included patients with advanced-stage lung adenocarcinoma who were confirmed to have EGFR T790M mutation and to have received osimertinib from January 2020 to February 2021 at Samsung Medical Center. The presence of T790M mutation was assessed based on either plasma circulating tumor DNA (ctDNA) or tissue specimens. Results A total of 443 patients underwent rebiopsy, with 186 (42.0%) testing positive for the T790M mutation by the sixth rebiopsy. The final analysis included 143 eligible patients. Progression-free survival was not significantly different in terms of the methods (tissue: 13.3 months, 95% confidence interval [CI]: [9.4, 23.5] vs plasma: 11.1 months, 95% CI: [8.1, 19.4], p = 0.33) and numbers (one: 13.4 months, 95% CI: [9.4, 23.5] vs two or more: 11.0 months, 95% CI: [8.1, 14.8], p = 0.51) of repeated rebiopsies. Longer overall survival (OS) was found in patients in whom T790M was detected by tissue specimens rather than by plasma ctDNA (2-year OS rate: 81.7% for tissue vs 63.9% for plasma, p = 0.0038). Factors related to the lower numbers of rebiopsies included age and bone metastasis. Factor associated with T790M detection in tissue rather than in plasma was pleural metastasis, while advanced tumor stage was related to T790M confirmation in plasma rather than in tissue., Conclusions: Repeated rebiopsy for T790M detection in patients with NSCLC can increase the detection rate of the mutation. Detection of T790M by plasma ctDNA might be related to poor survival outcomes., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Stratification strategies for chemotherapy plus PD-1 inhibitors in advanced non-small-cell lung cancer (NSCLC) are critically demanded. We performed high-throughput panel-based deep next-generation sequencing and low-pass whole genome sequencing on prospectively collected circulating tumor DNA (ctDNA) specimens from 460 patients in the phase 3 CHOICE-01 study at different time points. We identified predictive markers for chemotherapy plus PD-1 inhibitor, including ctDNA status and genomic features such as blood-based tumor mutational burden, intratumor heterogeneity, and chromosomal instability. Furthermore, we established an integrated ctDNA-based stratification strategy, blood-based genomic immune subtypes (bGIS) scheme, to distinguish patients who benefit from the addition of PD-1 inhibitor to first-line chemotherapy. Moreover, we demonstrated potential applications for the dynamic monitoring of ctDNA. Overall, we proposed a potential therapeutic algorithm based on the ctDNA-based stratification strategy, shedding light on the individualized management of immune-chemotherapies for patients with advanced NSCLC., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Purpose: Small cell lung cancer (SCLC) is characterized by rapid progression after platinum resistance. Circulating tumor (ctDNA) dynamics early in treatment may help determine platinum sensitivity., Materials and Methods: Serial plasma samples were collected from patients receiving platinum-based chemotherapy for SCLC on the first 3 days of cycle one and on the first days of subsequent cycles with paired samples collected both before and again after infusions. Tumor-informed plasma analysis was carried out using CAncer Personalized Profiling by deep Sequencing (CAPP-Seq). The mean variant allele frequency (VAF) of all pretreatment mutations was tracked in subsequent blood draws and correlated with radiologic response., Results: ctDNA kinetics were assessed in 122 samples from 21 patients. Pretreatment VAF did not differ significantly between patients who did and did not respond to chemotherapy (mean 22.5% v 4.6%, P = .17). A slight increase in ctDNA on cycle 1, day 1 immediately post-treatment was seen in six of the seven patients with available draws (fold change from baseline: 1.01-1.44), half of whom achieved a response. All patients who responded had a >2-fold decrease in mean VAF on cycle 2 day 1 (C2D1). Progression-free survival (PFS) and overall survival (OS) were significantly longer in patients with a >2-fold decrease in mean VAF after one treatment cycle (6.8 v 2.6 months, log-rank P = .0004 and 21.7 v 6.4 months, log rank P = .04, respectively)., Conclusion: A >2-fold decrease in ctDNA concentration was observed by C2D1 in all patients who were sensitive to platinum-based therapy and was associated with longer PFS and OS.

Background: Amivantamab-lazertinib significantly prolonged progression-free survival (PFS) versus osimertinib in patients with epidermal growth factor receptor (EGFR)-mutant advanced non-small-cell lung cancer [NSCLC; hazard ratio (HR) 0.70; P < 0.001], including those with a history of brain metastases (HR 0.69). Patients with TP53 co-mutations, detectable circulating tumor DNA (ctDNA), baseline liver metastases, and those without ctDNA clearance on treatment have poor prognoses. We evaluated outcomes in these high-risk subgroups., Patients and Methods: This analysis included patients with treatment-naive, EGFR-mutant advanced NSCLC randomized to amivantamab-lazertinib (n = 429) or osimertinib (n = 429) in MARIPOSA. Pathogenic alterations were identified by next-generation sequencing (NGS) of baseline blood ctDNA with Guardant360 CDx. Ex19del and L858R ctDNA in blood was analyzed at baseline and cycle 3 day 1 (C3D1) with Biodesix droplet digital polymerase chain reaction (ddPCR)., Results: Baseline ctDNA for NGS of pathogenic alterations was available for 636 patients (amivantamab-lazertinib, n = 320; osimertinib, n = 316). Amivantamab-lazertinib improved median PFS (mPFS) versus osimertinib for patients with TP53 co-mutations {18.2 versus 12.9 months; HR 0.65 [95% confidence interval (CI) 0.48-0.87]; P = 0.003} and for patients with wild-type TP53 [22.1 versus 19.9 months; HR 0.75 (95% CI 0.52-1.07)]. In patients with EGFR-mutant, ddPCR-detectable baseline ctDNA, amivantamab-lazertinib significantly prolonged mPFS versus osimertinib [20.3 versus 14.8 months; HR 0.68 (95% CI 0.53-0.86); P = 0.002]. Amivantamab-lazertinib significantly improved mPFS versus osimertinib in patients without ctDNA clearance at C3D1 [16.5 versus 9.1 months; HR 0.49 (95% CI 0.27-0.87); P = 0.015] and with clearance [24.0 versus 16.5 months; HR 0.64 (95% CI 0.48-0.87); P = 0.004]. Amivantamab-lazertinib significantly prolonged mPFS versus osimertinib among randomized patients with [18.2 versus 11.0 months; HR 0.58 (95% CI 0.37-0.91); P = 0.017] and without baseline liver metastases [24.0 versus 18.3 months; HR 0.74 (95% CI 0.60-0.91); P = 0.004]., Conclusions: Amivantamab-lazertinib effectively overcomes the effect of high-risk features and represents a promising new standard of care for patients with EGFR-mutant advanced NSCLC., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: With the popularization of computed tomography, more and more pulmonary nodules (PNs) are being detected. Risk stratification of PNs is essential for detecting early-stage lung cancer while minimizing the overdiagnosis of benign nodules. This study aimed to develop a circulating tumor DNA (ctDNA) methylation-based, non-invasive model for the risk stratification of PNs., Methods: A blood-based assay ("LUNG-TRAC") was designed to include novel lung cancer ctDNA methylation markers identified from in-house reduced representative bisulfite sequencing data and known markers from the literature. A stratification model was trained based on 183 ctDNA samples derived from patients with benign or malignant PNs and validated in 62 patients. LUNG-TRAC was further single-blindly tested in a single- and multi-center cohort., Results: The LUNG-TRAC model achieved an area under the curve (AUC) of 0.810 (sensitivity = 74.4 % and specificity = 73.7 %) in the validation set. Two test sets were used to evaluate the performance of LUNG-TRAC, with an AUC of 0.815 in the single-center test (N = 61; sensitivity = 67.5 % and specificity = 76.2 %) and 0.761 in the multi-center test (N = 95; sensitivity = 50.7 % and specificity = 80.8 %). The clinical utility of LUNG-TRAC was further assessed by comparing it to two established risk stratification models: the Mayo Clinic and Veteran Administration models. It outperformed both in the validation and the single-center test sets., Conclusion: The LUNG-TRAC model demonstrated accuracy and consistency in stratifying PNs for the risk of malignancy, suggesting its utility as a non-invasive diagnostic aid for early-stage peripheral lung cancer., Clinical Trial Registration: www., Clinicaltrials: gov (NCT03989219)., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: WL, MJX, and QYH are the employees of Singlera Genomics (Shanghai) Ltd., Shanghai, China. The other authors declare no conflict of interest for this article.., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Purpose: Circulating tumor DNA (ctDNA) testing has become a promising tool to guide first-line (1L) targeted treatment for advanced non-small cell lung cancer (aNSCLC). This study aims to estimate the clinical validity (CV) and clinical utility (CU) of ctDNA-based next-generation sequencing (NGS) for oncogenic driver mutations to inform 1L treatment decisions in aNSCLC through a systematic literature review and meta-analysis., Methods: A systematic literature search was conducted in PubMed/MEDLINE and Embase to identify randomized control trials or observational studies reporting CV/CU on ctDNA testing in patients with aNSCLC. Meta-analyses were performed using bivariate random-effects models to estimate pooled sensitivity and specificity. Progression-free/overall survival (PFS/OS) was summarized for CU studies., Results: A total of 20 studies were identified: 17 CV only, 2 CU only, and 1 both, and 13 studies were included for the meta-analysis on multi-gene detection. The overall sensitivity and specificity for ctDNA detection of any mutation were 0.69 (95% CI 0.63-0.74) and 0.99 (95% CI 0.97-1.00), respectively. However, sensitivity varied greatly by driver gene, ranging from 0.29 (95% CI 0.13-0.53) for ROS1 to 0.77 (95% CI 0.63-0.86) for KRAS. Two studies that compared PFS with ctDNA versus tissue-based testing followed by 1L targeted therapy found no significant differences. One study reported OS curves on ctDNA-matched and tissue-matched therapies but no hazard ratios were provided., Conclusions: ctDNA testing demonstrated an overall acceptable diagnostic accuracy in patients with aNSCLC, however, sensitivity varied greatly by driver mutation. Further research is needed, especially for uncommon driver mutations, to better understand the CU of ctDNA testing in guiding targeted treatments for aNSCLC., (© 2024. The Author(s).)

Liquid biopsy is a minimally invasive method for biomarkers detection in body fluids, particularly in blood, which offers an elevated and growing number of clinical applications in oncology. As a result of the improvement in the techniques for DNA analysis, above all next-generation sequencing (NGS) assays, circulating tumor DNA (ctDNA) has become the most informing tumor-derived material for most types of cancer, including non-small cell lung cancer (NSCLC). Although ctDNA concentration is higher in patients with advanced tumors, it can be detected even in patients with early-stage disease. Therefore, numerous clinical applications of ctDNA in the management of early-stage lung cancer are emerging, such as lung cancer screening, the identification of minimal residual disease (MRD), and the prediction of relapse before radiologic progression. Moreover, a high number of clinical trials are ongoing to better define the impact of ctDNA evaluation in this setting. Aim of this review is to offer a comprehensive overview of the most relevant implementations in using ctDNA for the management of early-stage lung cancer, addressing available data, technical aspects, limitations, and future perspectives., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Circulating tumor DNA (ctDNA) provides valuable tumor-related information without invasive biopsies, yet consensus is lacking on optimal parameters for predicting clinical outcomes. Utilizing longitudinal ctDNA data from the large phase 3 IMpower150 study (NCT02366143) of atezolizumab in combination with chemotherapy with or without bevacizumab in patients with stage IV non-squamous Non-Small Cell Lung Cancer (NSCLC), here we report that post-treatment ctDNA response correlates significantly with radiographic response. However, only modest concordance is identified, revealing that ctDNA response is likely not a surrogate for radiographic response; both provide distinct information. Various ctDNA metrics, especially early ctDNA nadirs, emerge as primary predictors for progression-free survival and overall survival, potentially better assessing long-term benefits for chemoimmunotherapy in NSCLC. Integrating radiographic and ctDNA assessments enhances prediction of survival outcomes. We also identify optimal cutoff values for risk stratification and key assessment timepoints, notably Weeks 6-9, for insights into clinical outcomes. Overall, our identified optimal ctDNA parameters can enhance the prediction of clinical outcomes, refine trial designs, and inform therapeutic decisions for first-line NSCLC patients., (© 2024. The Author(s).)

Cobas EGFR mutation Test v2 was FDA-approved as qualitative liquid biopsy for actionable EGFR variants in non-small cell lung cancer (NSCLC). It generates semiquantitative index (SQI) values that correlate with mutant allele levels, but decision thresholds for clinical use in NSCLC surveillance are lacking. We conducted long-term ctDNA monitoring in 20 subjects with EGFR-mutated NSCLC; resulting in a 155 on-treatment samples. We defined optimal SQI intervals to predict/rule-out progression within 12 weeks from sampling and performed orthogonal calibration versus deep-sequencing and digital PCR. SQI showed significant diagnostic power (AUC 0.848, 95% CI 0.782-0.901). SQI below 5 (63% of samples) had 93% (95% CI 87-96%) NPV, while SQI above 10 (25% of samples) had 69% (95% CI 56-80%) PPV. Cobas EGFR showed perfect agreement with sequencing (Kappa 0.860; 95% CI 0.674-1.00) and digital PCR. SQI values strongly (r: 0.910, 95% 0.821-0.956) correlated to mutant allele concentrations with SQI of 5 and 10 corresponding to 6-9 (0.2-0.3%) and 64-105 (1.1-1.6%) mutant allele copies/mL (VAF) respectively. Our dual-threshold classifier of SQI 0/5/10 yielded informative results in 88% of blood draws with high NPV and good overall clinical utility for patient-centric surveillance of metastatic NSCLC., (© 2024. The Author(s).)

Gene fusions and MET alterations are rare and difficult to detect in plasma samples. The clinical detection efficacy of molecular residual disease (MRD) based on circulating tumor DNA (ctDNA) in patients with non-small cell lung cancer (NSCLC) with these mutations remains unknown. This prospective, non-intervention study recruited 49 patients with operable NSCLC with actionable gene fusions (ALK, ROS1, RET, and FGFR1), MET exon 14 skipping or de novo MET amplification. We analyzed 43 tumor tissues and 111 serial perioperative plasma samples using 1021- and 338-gene panels, respectively. Detectable MRD correlated with a significantly higher recurrence rate (P < 0.001), yielding positive predictive values of 100% and 90.9%, and negative predictive values of 82.4% and 86.4% at landmark and longitudinal time points, respectively. Patients with detectable MRD showed reduced disease-free survival (DFS) compared to those with undetectable MRD (P < 0.001). Patients who harbored tissue-derived fusion/MET alterations in their MRD had reduced DFS compared to those who did not (P = 0.05). To our knowledge, this is the first comprehensive study on ctDNA-MRD clinical detection efficacy in operable NSCLC patients with gene fusions and MET alterations. Patients with detectable tissue-derived fusion/MET alterations in postoperative MRD had worse clinical outcomes., (© 2024. Higher Education Press.)

Appropriate management requires timely and accurate confirmation of non-small cell lung cancer (NSCLC) recurrence in patients who have had curative-intent surgical resection. We assessed the association between circulating tumor DNA (ctDNA) identified using amplicon sequencing and evidence of recurrence on CT surveillance. A prospective cohort study of NSCLC patients with early-stage disease undergoing curative-intent resection was conducted. Surveillance was performed post-operatively at pre-defined intervals with both liquid biopsy and chest CT imaging. Amplicon panel next-generation sequencing was performed on DNA and RNA from tumor tissue and on plasma cell-free DNA for tumor-informed ctDNA detection. Resected tumors from 78 NSCLC patients were analyzed. Alterations were detected on the DNA assay for 65 tumors and only on the RNA assay for 4 tumors. Of the 65 patients with alterations detected on the tumor DNA assay, 29 completed post-operative liquid biopsy testing. Four of those 29 patients had evidence of recurrence on imaging, of whom two had biopsy confirmation of recurrence and detectable ctDNA at the 12-month follow-up. Molecular confirmation of NSCLC recurrence can be provided through amplicon sequencing of plasma cell-free DNA in cases with imaging evidence of recurrence. Invasive tissue diagnosis may be avoidable in patients with ctDNA confirmation of recurrence that is suspected based on imaging. Further study of ctDNA assessment technologies in the setting of suspected recurrence is necessary to inform post-operative lung cancer surveillance guidelines.

Background: Circulating tumor DNA (ctDNA) positivity at diagnosis, which is associated with worse outcomes in multiple solid tumors including stage I-III non-small cell lung cancer (NSCLC), may have utility to guide (neo)adjuvant therapy., Methods: In this retrospective study, 260 patients with clinical stage I NSCLC (180 adenocarcinoma, 80 squamous cell carcinoma) were allocated (2:1) to high- and low-risk groups based on relapse versus disease-free status ≤5 years post-surgery. We evaluated the association of preoperative ctDNA detection by a plasma-only targeted methylation-based multi-cancer early detection (MCED) test with NSCLC relapse ≤5 years post-surgery in the overall population, followed by histology-specific subgroup analyses., Results: Across clinical stage I patients, preoperative ctDNA detection did not associate with relapse within 5 years post-surgery. Sub-analyses confined to lung adenocarcinoma suggested a histology-specific association between ctDNA detection and outcome. In this group, ctDNA positivity tended to associate with relapse within 2 years, suggesting prognostic implications of MCED test positivity may be histology- and time-dependent in stage I NSCLC. Preoperative ctDNA detection was associated with upstaging of clinical stage I to pathological stage II-III NSCLC., Conclusions: Our findings suggest preoperative ctDNA detection in patients with resectable clinical stage I NSCLC using MCED, a pan-cancer screening test developed for use in an asymptomatic population, has no detectable prognostic value for relapse ≤5 years post-surgery. MCED detection may be associated with early adenocarcinoma relapse and increased pathological upstaging rates in stage I NSCLC. However, given the exploratory nature of these findings, independent validation is required., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Y. Bossé has received grants (paid to institution) from AstraZeneca and the IUCPQ foundation. A. Dasgupta is a full-time employee of and owns stock in AstraZeneca. M. Abadier is a full-time employee of and owns stock in Moderna Therapeutics. V. Guthrie is a full-time employee of and owns stock in Exact Sciences. F. Song is a full-time employee of and owns stock in AstraZeneca. F.C. Lamaze has a patent pending related to cancer diagnosis (U.S. Application No. 17/612,695; filed November 19, 2021). C. Melton is a full-time employee of GRAIL, LLC and owns stock in Illumina, Inc. T. Nance is a full-time employee of GRAIL, LLC. T. Hung is a full-time employee of GRAIL, LLC and owns stock in Illumina, Inc. D. Hodgson is a full-time employee of and owns stock in AstraZeneca. C. Abbosh is a full-time employee of and owns stock in AstraZeneca, and holds patents in MRD detection (ES2913468T3 and US20200248266A1). P. Joubert has received honoraria and research grants from AstraZeneca. The remaining authors declare no conflict of interest., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Importance: Uninterrupted targeted therapy until disease progression or intolerable toxic effects is currently the routine therapy for advanced non-small cell lung cancer (NSCLC) involving driver gene variations. However, drug resistance is inevitable., Objective: To assess the clinical feasibility of adaptive de-escalation tyrosine kinase inhibitor (TKI) treatment guided by circulating tumor DNA (ctDNA) for achieving complete remission after local consolidative therapy (LCT) in patients with advanced NSCLC., Design, Setting, and Participants: This prospective nonrandomized controlled trial was conducted at a single center from June 3, 2020, to July 19, 2022, and included 60 patients with advanced NSCLC with driver variations without radiologically detectable disease after TKI and LCT. The median (range) follow-up time was 19.2 (3.8-29.7) months. Data analysis was conducted from December 15, 2022, to May 10, 2023., Intervention: Cessation of TKI treatment and follow-up every 3 months. Treatment was restarted in patients with progressive disease (defined by the Response Evaluation Criteria in Solid Tumors 1.1 criteria), detectable ctDNA, or elevated carcinoembryonic antigen (CEA) levels, whichever manifested first, and treatment ceased if all indicators were negative during follow-up surveillance., Main Outcomes and Measures: Progression-free survival (PFS). Secondary end points were objective response rate, time to next treatment, and overall survival., Results: Among the total study sample of 60 participants (median [range] age, 55 [21-75] years; 33 [55%] were female), the median PFS was 18.4 (95% CI, 12.6-24.2) months and the median (range) total treatment break duration was 9.1 (1.5-28.1) months. Fourteen patients (group A) remained in TKI cessation with a median (range) treatment break duration of 20.3 (6.8-28.1) months; 31 patients (group B) received retreatment owing to detectable ctDNA and/or CEA and had a median PFS of 20.2 (95% CI, 12.9-27.4) months with a median (range) total treatment break duration of 8.8 (1.5-20.6) months; and 15 patients (group C) who underwent retreatment with TKIs due to progressive disease had a median PFS of 5.5 (95% CI, 1.5-7.2) months. For all participants, the TKI retreatment response rate was 96%, the median time to next treatment was 29.3 (95% CI, 25.3-35.2) months, and the data for overall survival were immature., Conclusions and Relevance: The findings of this nonrandomized controlled trial suggest that this adaptive de-escalation TKI strategy for patients with NSCLC is feasible in those with no lesions after LCT and a negative ctDNA test result. This might provide a de-escalation treatment strategy guided by ctDNA for the subset of patients with advanced NSCLC., Trial Registration: ClinicalTrials.gov Identifier: NCT03046316.

Introduction: For patients with KRAS G12C -mutated NSCLC who are treated with sotorasib, there is a lack of biomarkers to guide treatment decisions. We therefore investigated the clinical utility of pretreatment and on-treatment circulating tumor DNA (ctDNA) and treatment-emergent alterations on disease progression., Methods: Patients with KRAS G12C -mutated NSCLC treated with sotorasib were prospectively enrolled in our biomarker study (NCT05221372). Plasma samples were collected before sotorasib treatment, at first-response evaluation and at disease progression. The TruSight Oncology 500 panel was used for ctDNA and variant allele frequency analysis. Tumor response and progression-free survival were assessed per Response Evaluation Criteria in Solid Tumors version 1.1., Results: Pretreatment KRAS G12C ctDNA was detected in 50 of 66 patients (76%). Patients with detectable KRAS G12C had inferior progression-free survival (hazard ratio [HR] 2.13 [95% confidence interval [CI]: 1.06-4.30], p = 0.031) and overall survival (HR 2.61 [95% CI: 1.16-5.91], p = 0.017). At first-response evaluation (n = 40), 29 patients (73%) had a molecular response. Molecular nonresponders had inferior overall survival (HR 3.58 [95% CI: 1.65-7.74], p = 0.00059). The disease control rate was significantly higher in those with a molecular response (97% versus 64%, p = 0.015). KRAS amplifications were identified as recurrent treatment-emergent alterations., Conclusions: Our data suggest detectable pretreatment KRAS G12C ctDNA as a marker for poor prognosis and on-treatment ctDNA clearance as a marker for treatment response. We identified KRAS amplifications as a potential recurring resistance mechanism to sotorasib. Identifying patients with superior prognosis could aid in optimizing time of treatment initiation, and identifying patients at risk of early progression could allow for earlier treatment decisions., Competing Interests: Disclosure Dr. Mathijssen reports receiving institutional fees for investigator-initiated trials from Astellas, Bayer, Boehringer-Ingelheim, Cristal Therapeutics, Deuter Oncology, Nordic Pharma, Novartis, Pamgene, Pfizer, Roche, Sanofi, and Servier, outside the current work. Dr. Paats reports receiving institutional fees from AstraZeneca, Bayer, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and Takeda, outside the current work. Dr. Koolen reports receiving speaker fees from Promise Proteomics, outside the current work. Dr. von der Thüsen reports receiving advisory board and speaker fees from Eli Lilly, Bristol-Myers Squibb, Merck Sharp & Dohme, AstraZeneca, Bayer, Janssen, and Pfizer, outside the current work. Dr. Aerts reports receiving advisory board and speaker fees from Eli Lilly, Bristol-Myers Squibb, Merck Sharp & Dohme, AstraZeneca, Bayer, and Amphera and is a stock owner of Amphera, outside the current work. Dr. Dubbink reports receiving translational research funding and support from AstraZeneca, Merck Sharp & Dohme, and Illumina; advisory board fees from AbbVie, AstraZeneca, Bayer, Janssen, Lilly, Merck Sharp & Dohme, and Pfizer; honorarium from AstraZeneca, Lilly, Novartis, and Pfizer; and consultant fees from Bayer. Dr. Dingemans reports receiving institutional fees from Roche, Eli Lilly, Boehringer Ingelheim, AstraZeneca, Janssen, Chiezi, Amgen, Pfizer, Bayer, Takeda, Pharmamar, Sanofi, and Daiichi, outside the current work. All other authors report no disclosures., (Copyright © 2024 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)

Purpose: There have been needs to improve the sensitivity of liquid biopsy. This report aims to report the analytical and clinical validation of a next-generation sequencing (NGS)-based circulating tumor DNA (ctDNA) assay., Materials and Methods: Analytical validation was conducted in vitro by evaluating the limit of detection (LOD), precision, and specificity for various genomic aberrations. The real-world performance in non-small cell lung cancer (NSCLC) was assessed by comparing the results of AlphaLiquid100 to the tissue-based results., Results: The LODs with 30 ng input DNA were 0.11%, 0.11%, 0.06%, 0.21%, and 2.13 copies for detecting single nucleotide variants, insertions, deletions, fusions, and copy number alterations (CNA), respectively. Quantitatively, single nucleotide variants/insertions and deletions, fusions, and CNAs showed a good correlation (R2=0.91, 0.40, and 0.65; y=0.95, 1.06, and 1.19) to the manufacturer's values, and per-base specificities for all types of variants were near 100%. In real-world NSCLC (n=122), key actionable mutations in NSCLC were detected in 60.7% (74/122) with the ctDNA assay. Comparative analysis against the NGS-based tissue results for all key mutations showed positive percent agreement (PPA) of 85.3%. For individual genes, the PPA was as high as 95.7% for epidermal growth factor receptor (EGFR) mutations and 83.3% for ALK translocations. AlphaLiquid100 detected drug-sensitive EGFR mutation at a variant allele frequency as low as 0.02% and also identified an EGFR mutation in a case where tissue sample missed. Blood samples collected post-targeted therapies revealed additional acquired mutations., Conclusion: The AlphaLiquid100 ctDNA assay demonstrates robust analytical validity, offering clinically important information for NSCLC patients.

Systemic treatment of resectable non-small cell lung cancer (NSCLC) is evolving with emerging neoadjuvant, perioperative, and adjuvant immunotherapy approaches. Circulating tumor DNA (ctDNA) detection at clinical diagnosis, during neoadjuvant therapy, or after resection may discern high-risk patients who might benefit from therapy escalation or switch. This Review summarizes translational implications of data supporting ctDNA-based risk determination in NSCLC and outstanding questions regarding ctDNA validity/utility as a prognostic biomarker. We discuss emerging ctDNA capabilities to refine clinical tumor-node-metastasis (TNM) staging in lung adenocarcinoma, ctDNA dynamics during neoadjuvant therapy for identifying patients deriving suboptimal benefit, and postoperative molecular residual disease (MRD) detection to escalate systemic therapy. Considering differential relapse characteristics in landmark MRD-negative/MRD-positive patients, we propose how ctDNA might integrate with pathological response data for optimal postoperative risk stratification., Competing Interests: Declaration of interests C.A. was formerly an employee of, and held stocks/shares in, AstraZeneca, and is currently an employee of SAGA Diagnostics. D.H., G.J.D., D.G., L.H., and J.S.R.-F. are employees of, and hold stocks/shares in, AstraZeneca. J.R.M.B. has no conflicts of interest to disclose. D.G. is the cofounder of Inivata, acquired by NeoGenomics in 2021, and holds shares in AstraZeneca and GSK. C.S. is the co-founder of, a Scientific Advisory Board (SAB) member for, and has stock options in Achilles Therapeutics; has stock options in Epic Bioscience, Relay Therapeutics, and Bicycle Therapeutics; held stock options in Apogen Biotechnologies and GRAIL until June 2021; was a member of the American Association for Cancer Research (AACR) Board of Directors until April 2022; is chief investigator of AstraZeneca's MeRmaiD I and II clinical trials and co-chief investigator of the NHS Galleri Trial funded by GRAIL; has received honoraria from Amgen, AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, GlaxoSmithKline, Illumina, MSD, Novartis, Pfizer, and Roche; has received consulting fees from Genentech, Sarah Canon Research Institute, GRAIL (SAB), Medicxi, Bicycle Therapeutics (SAB), Metabomed – until June 2021, China Innovation Centre of Roche (CICor) – (formerly Roche Innovation Centre-Shanghai), Relay Therapeutics (SAB), and Saga Diagnostics (SAB); has received grants or funds from AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, Invitae (formerly Archer Dx), Ono Pharmaceuticals, Personalis, and Pfizer; and holds the following patents – US20190106751A1 – Methods for lung cancer detection; PCT/EP2016/071471 – 'immune checkpoint intervention' in cancer; PCT/EP2016/059401 – Method for treating cancer; PCT/US2017/028013 – Methods for lung cancer detection; PCT/GB2018/051912 – Method for identifying responders to cancer treatment; PCT/GB2018/052004 – Analysis of HLA alleles in tumors and the uses thereof; PCT/GB2020/050221 – Method of predicting survival rates of patients with cancer; PCT/GB2017/053289 – Method of detecting tumor recurrence; PCT/EP2021/059989 – Modulation of T cell cytotoxicity and related therapy; and PCT/EP2022/077987 – Methods and systems for tumor monitoring; PCT/EP2023/059039 – Analysis of HLA alleles transcriptional deregulation., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Non-small cell lung cancer is a heterogeneous disease and molecular characterisation plays an important role in its clinical management. Next-generation sequencing-based panel testing enables many molecular alterations to be interrogated simultaneously, allowing for comprehensive identification of actionable oncogenic drivers (and co-mutations) and appropriate matching of patients with targeted therapies. Despite consensus in international guidelines on the importance of broad molecular profiling, adoption of next-generation sequencing varies globally. One of the barriers to its successful implementation is a lack of accepted standards and guidelines specifically for the reporting and clinical annotation of next-generation sequencing results. Based on roundtable discussions between pathologists and oncologists, we provide best practice recommendations for the reporting of next-generation sequencing results in non-small cell lung cancer to facilitate its use and enable easy interpretation for physicians. These are intended to complement existing guidelines related to the use of next-generation sequencing (solid and liquid). Here, we discuss next-generation sequencing workflows, the structure of next-generation sequencing reports, and our recommendations for best practice thereof. The aim of these recommendations and considerations is ultimately to ensure that reports are fully interpretable, and that the most appropriate treatment options are selected based on robust molecular profiles in well-defined reports., (© 2024. The Author(s).)

Abstract: Current advances in the understanding of the lung cancer landscape have drastically changed the approach to treating a patient with lung carcinoma. The field has progressed from analyzing single gene to using advanced techniques like next-generation sequencing and microarray technology. While a tumor tissue sample is considered the gold standard, it has several limitations. The limitations of invasive procedures, long processing periods, inaccessibility, and sample inadequacy are being addressed by sampling biofluids, termed 'liquid biopsy,' which offers a less invasive and more accessible way to obtain tumor-related information. Liquid biopsy has transformed the care of lung cancer patients by directly targeting somatic alterations from tumors. This article provides insights into the biology, technical aspects, limitations, and practical applications of 'liquid biopsy,' focusing on cell-free DNA and circulating tumor DNA in the context of lung cancer., (Copyright © 2024 Copyright: © 2024 Indian Journal of Pathology and Microbiology.)

Background: Analysis of free DNA molecules shed from tumour cells in plasma of patients referred as circulating tumour DNA (ctDNA) with reference to physiological circulating cell-free DNA (cfDNA) is nowadays exploited as liquid biopsy and is considered a new emerging promising biomarker for diagnosis, selection of proper treatment, and prognosis of cancer. DNA integrity index (DII) is assessed by calculating the ratio between the concentration of long cfDNA strands released from tumour cells (ALU247) and the short strands released from normal cells (ALU115). The aim of the current study was to evaluate DII as a potential diagnostic and prognostic biomarker of NSCLC., Methods: Our study included 48 NSCLC patients diagnosed as primary NSCLC before starting treatment, 30 COPD patients diagnosed clinically, radiologically, and subjected to chest high-resolution computerized tomography, and 40 healthy controls. cfDNA concentration and DII were measured by quantitative real-time polymerase chain reaction (qPCR)., Results: ALU115, ALU247, and DII were significantly higher in NSCLC compared to COPD patients (p < 0.0001) and controls (p < 0.0001) and in COPD patients compared to control subjects (p < 0.0001). DII positively correlated with the stage of tumour (p = 0.01), tumour metastasis (p = 0.004), and with adenocarcinoma compared to other histopathological types (p = 0.02). To evaluate clinical utility of DII in NSCLC, ROC curve analysis demonstrated an AUC of 0.91 at a cut-off value of 0.44 with total accuracy = 85.6%, sensitivity = 90%, specificity = 83%, PPV = 78.1%, and NPV = 92.1%., Conclusion: cfDNA and DII represent a promising diagnostic and prognostic tool in NSCLC. This type of noninvasive liquid biopsy revealed its chance in the screening, early diagnosis, and monitoring of NSCLC., (© 2024. The Author(s).)

Lung cancer is a major global health concern with a low survival rate, often due to late-stage diagnosis. Liquid biopsy offers a non-invasive approach to cancer detection and monitoring, utilizing various features of circulating cell-free DNA (cfDNA). In this study, we established two models based on cfDNA coverage patterns at the transcription start sites (TSSs) from 6X whole-genome sequencing: an Early Cancer Screening Model and an EGFR mutation status prediction model. The Early Cancer Screening Model showed encouraging prediction ability, especially for early-stage lung cancer. The EGFR mutation status prediction model exhibited high accuracy in distinguishing between EGFR -positive and wild-type cases. Additionally, cfDNA coverage patterns at TSSs also reflect gene expression patterns at the pathway level in lung cancer patients. These findings demonstrate the potential applications of cfDNA coverage patterns at TSSs in early cancer screening and in cancer subtyping.

Purpose: To use modern machine learning approaches to enhance and automate the feature extraction from the longitudinal circulating tumor DNA (ctDNA) data and to improve the prediction of survival and disease progression, risk stratification, and treatment strategies for patients with 1L non-small cell lung cancer (NSCLC)., Materials and Methods: Using IMpower150 trial data on patients with untreated metastatic NSCLC treated with atezolizumab and chemotherapies, we developed a machine learning algorithm to extract predictive features from ctDNA kinetics, improving survival and progression prediction. We analyzed kinetic data from 17 ctDNA summary markers, including cell-free DNA concentration, allele frequency, tumor molecules in plasma, and mutation counts., Results: Three hundred and ninety-eight patients with ctDNA data (206 in training and 192 in validation) were analyzed. Our models outperformed existing workflow using conventional temporal ctDNA features, raising overall survival (OS) concordance index to 0.72 and 0.71 from 0.67 and 0.63 for C3D1 and C4D1, respectively, and substantially improving progression-free survival (PFS) to approximately 0.65 from the previous 0.54-0.58, a 12%-20% increase. Additionally, they enhanced risk stratification for patients with NSCLC, achieving clear OS and PFS separation. Distinct patterns of ctDNA kinetic characteristics (eg, baseline ctDNA markers, depth of ctDNA responses, and timing of ctDNA clearance, etc) were revealed across the risk groups. Rapid and complete ctDNA clearance appears essential for long-term clinical benefit., Conclusion: Our machine learning approach offers a novel tool for analyzing ctDNA kinetics, extracting critical features from longitudinal data, improving our understanding of the link between ctDNA kinetics and progression/mortality risks, and optimizing personalized immunotherapies for 1L NSCLC.

Despite recent technological advancements in cell tumor DNA (ctDNA) mutation detection, challenges persist in identifying low-frequency mutations due to inadequate sensitivity and coverage of current procedures. Herein, we introduce a super-sensitivity and specificity technique for detecting ctDNA mutations, named HiCASE. The method utilizes PCR-based CRISPR, coupled with the restriction enzyme. In this work, HiCASE focuses on testing a series of EGFR mutations to provide enhanced detection technology for non-small cell lung cancer (NSCLC), enabling a detection sensitivity of 0.01% with 40 ng cell free DNA standard. When applied to a panel of 140 plasma samples from 120 NSCLC patients, HiCASE exhibits 88.1% clinical sensitivity and 100% specificity with 40 μL of plasma, higher than ddPCR and Super-ARMS assay. In addition, HiCASE can also clearly distinguish T790M/C797S mutations in different positions at a 1% variant allele frequency, offering valuable guidance for drug utilization. Indeed, the established HiCASE assay shows potential for clinical applications., (© 2024. The Author(s).)

Leptomeningeal metastasis (LM) is a lethal complication of malignant tumors, with an incidence rate of 3%-5% among patients with non-small cell lung cancer (NSCLC). LM poses significant challenges in diagnosis, has poor prognosis, limited treatment options, and lacks standardized criteria for evaluating therapeutic efficacy, making it a difficult aspect of NSCLC management. Circulating tumor DNA (ctDNA), shed from tumor cells and carrying cancer-related information, holds significant value in precision oncology. Cerebrospinal fluid (CSF), present in the subarachnoid space of the brain, the spinal cord, and the central canal, and in direct contact with meningeal tissues, serves as the fluid medium that best reflects the genetic characteristics of LM. In recent years, CSF ctDNA has become a focal point due to its multi-omics features, playing a crucial role in the management of central nervous system (CNS) metastatic tumors. Its applications span the entire continuum of care, including aiding in diagnosis, assessing treatment response, predicting prognosis, and analyzing resistance mechanisms. This article provides a concise overview of CSF ctDNA detection techniques and their clinical applications in patients with NSCLC-LM.
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