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BackgroundCombined therapy with dabrafenib plus trametinib was approved in several countries for treatment of BRAF V600E-mutant anaplastic thyroid cancer (ATC) based on an earlier interim analysis of 23 response-assessable patients in the ATC cohort of the phase II Rare Oncology Agnostic Research (ROAR) basket study. We report an updated analysis describing the efficacy and safety of dabrafenib plus trametinib in the full ROAR ATC cohort of 36 patients with ∼4 years of additional study follow-up.Patients and methodsROAR (NCT02034110) is an open-label, nonrandomized, phase II basket study evaluating dabrafenib plus trametinib in BRAF V600E-mutant rare cancers. The ATC cohort comprised 36 patients with unresectable or metastatic ATC who received dabrafenib 150 mg twice daily plus trametinib 2 mg once daily orally until disease progression, unacceptable toxicity, or death. The primary endpoint was investigator-assessed overall response rate (ORR) per Response Evaluation Criteria in Solid Tumors version 1.1. Secondary endpoints were duration of response (DOR), progression-free survival (PFS), overall survival (OS), and safety.ResultsAt data cutoff (14 September 2020), median follow-up was 11.1 months (range, 0.9-76.6 months). The investigator-assessed ORR was 56% (95% confidence interval, 38.1% to 72.1%), including three complete responses; the 12-month DOR rate was 50%. Median PFS and OS were 6.7 and 14.5 months, respectively. The respective 12-month PFS and OS rates were 43.2% and 51.7%, and the 24-month OS rate was 31.5%. No new safety signals were identified with additional follow-up, and adverse events were consistent with the established tolerability of dabrafenib plus trametinib.ConclusionsThese updated results confirm the substantial clinical benefit and manageable toxicity of dabrafenib plus trametinib in BRAF V600E-mutant ATC. Dabrafenib plus trametinib notably improved long-term survival and represents a meaningful treatment option for this rare, aggressive cancer.

The explosion of knowledge in cancer biology in the past two decades has led to the identification of specific molecular circuits in solid tumors. These pathways reflect specific abnormalities thought to drive malignant progression. This knowledge has also generated a vast panel of cancer biomarkers although many of these biomarkers lack sufficient research and validation to be used in the clinic. This Review discusses relevant molecular prognostic and/or predictive biomarkers in the six leading tumors with the highest contribution to cancer mortality: breast, lung, colorectal, prostate, pancreatic and ovarian cancer. Each biomarker is described according to its associated clinicopathological presentation and specific associated molecular interactions. Despite only few biomarkers being currently implemented in clinical practice, a new generation of predictors is emerging that could modify the classic organ-based cancer classification (for example, defects in DNA repair, aberrant MAPK signaling and aberrant PI3K/Akt/mTOR signaling). The advent of high-throughput strategies will also probably substitute monobiomarker strategies. [ABSTRACT FROM AUTHOR]

Although smoking has been established as the most important cause of lung cancer, approximately 10% of patients with this malignancy have no history of smoking. The pathogenesis of tobacco-related lung carcinogenesis is becoming well characterized, but the molecular mechanisms of neoplastic transformation in never-smokers have not yet been adequately elucidated. Nevertheless, numerous recent studies have revealed a distinct biological process of malignant transformation with unique epidemiological and clinicopathological characteristics in never-smokers. The molecular pathways involved in the differential pattern of lung oncogenesis according to smoking status, however, remain fairly obscure. Researchers have studied several molecular pathways implicated in lung carcinogenesis in smokers and never-smokers, examining these processes at the genomic, epigenetic and proteomic level. The differential protein expression according to smoking status in critical signal transduction pathways has attracted scientific interest because of the possibilities of therapeutic intervention. In this Review we describe the best-characterized signaling pathways implicated in the transduction of proliferative signals and discuss the activity of these pathways in smokers and never-smokers. [ABSTRACT FROM AUTHOR]

The article focuses on the main targeted therapies in lung cancer. It describes the cell growth pathways, programmed cell death and neo-angiogenic factors in patients with lung cancer. The role of epidermal growth factor receptor, farnesyl transferase inhibitors (FTI) and mammalian target of rapamycin (mTOR) in lung cancer treatment is examined. The article also discusses cell cycle, apoptosis and angiogenesis targeting.

Prostate cancer is the sixth most common cancer in the world and the third leading cause of cancer in men. The increase in the understanding of prostate carcinogenesis over the past 15 years has helped to define crucial steps in the natural history of the disease, namely initiation and progression to androgen independence. This heterogeneous disease encompasses a range of environmental and familial factors, which provides strong support for the use of chemopreventive strategies. Most patients with advanced prostate cancer are treated with androgen-deprivation therapy, which leads to a striking regression of androgen-responsive cancer cells. A transition from an androgen-responsive to an androgen-unresponsive stage is seen during the clinical course in almost all patients with prostate cancer. This transition also signals a substantial worsening of prognosis. Here, we review the most important findings in prostate carcinogenesis and the molecular anomalies associated with the androgen-refractory stage. [ABSTRACT FROM AUTHOR]

Circulating proteomes provide a snapshot of the physiological state of a human organism responding to pathogenic challenges and drug interventions. The outcomes of patients with COVID-19 and acute respiratory distress syndrome triggered by the SARS-CoV2 virus remain uncertain. Tocilizumab is an anti-interleukin-6 treatment that exerts encouraging clinical activity by controlling the cytokine storm and improving respiratory distress in patients with COVID-19. We investigate the biological determinants of therapeutic outcomes after tocilizumab treatment. Overall, 28 patients hospitalized due to severe COVID-19 who were treated with tocilizumab intravenously were included in this study. Sera were collected before and after tocilizumab, and the patient's outcome was evaluated until day 30 post-tocilizumab infusion for favorable therapeutic response to tocilizumab and mortality. Hyperreaction monitoring measurements by liquid chromatography-mass spectrometry-based proteomic analysis with data-independent acquisition quantified 510 proteins and 7019 peptides in the serum of patients. Alterations in the serum proteome reflect COVID-19 outcomes in patients treated with tocilizumab. Our results suggested that circulating proteins associated with the most significant prognostic impact belonged to the complement system, platelet degranulation, acute-phase proteins, and the Fc-epsilon receptor signaling pathway. Among these, upregulation of the complement system by activation of the classical pathway was associated with poor response to tocilizumab, and upregulation of Fc-epsilon receptor signaling was associated with lower mortality.

Selecting patients for phase I cancer trials is crucial to ensure a sufficient life expectancy. Frail patients, better suited for palliative care, should not be exposed to new drugs with minimal benefit. Enrolling patients at high risk of early death can jeopardize the study. Our analysis of two large precision medicine studies used tumor fraction from ctDNA to develop a predictive model, demonstrating notable predictive accuracy and aiding in patient selection., (© 2024. The Author(s).)

Background: Understanding the resistance mechanisms of tumor is crucial for advancing cancer therapies. The prospective MATCH-R trial (NCT02517892), led by Gustave Roussy, aimed to characterize resistance mechanisms to cancer treatments through molecular analysis of fresh tumor biopsies. This report presents the genomic data analysis of the MATCH-R study conducted from 2015 to 2022 and focuses on targeted therapies., Methods: The study included resistant metastatic patients (pts) who accepted an image-guided tumor biopsy. After evaluation of tumor content (TC) in frozen tissue biopsies, targeted NGS (10 < TC < 30%) or Whole Exome Sequencing and RNA sequencing (TC > 30%) were performed before and/or after the anticancer therapy. Patient-derived xenografts (PDX) were established by implanting tumor fragments into NOD scid gamma mice and amplified up to five passages., Results: A total of 1,120 biopsies were collected from 857 pts with the most frequent tumor types being lung (38.8%), digestive (16.3%) and prostate (14.1%) cancer. Molecular targetable driver were identified in 30.9% (n = 265/857) of the patients, with EGFR (41.5%), FGFR2/3 (15.5%), ALK (11.7%), BRAF (6.8%), and KRAS (5.7%) being the most common altered genes. Furthermore, 66.0% (n = 175/265) had a biopsy at progression on targeted therapy. Among resistant cases, 41.1% (n = 72/175) had no identified molecular mechanism, 32.0% (n = 56/175) showed on-target resistance, and 25.1% (n = 44/175) exhibited a by-pass resistance mechanism. Molecular profiling of the 44 patients with by-pass resistance identified 51 variants, with KRAS (13.7%), PIK3CA (11.8%), PTEN (11.8%), NF2 (7.8%), AKT1 (5.9%), and NF1 (5.9%) being the most altered genes. Treatment was tailored for 45% of the patients with a resistance mechanism identified leading to an 11 months median extension of clinical benefit. A total of 341 biopsies were implanted in mice, successfully establishing 136 PDX models achieving a 39.9% success rate. PDX models are available for EGFR (n = 31), FGFR2/3 (n = 26), KRAS (n = 18), ALK (n = 16), BRAF (n = 6) and NTRK (n = 2) driven cancers. These models closely recapitulate the biology of the original tumors in term of molecular alterations and pharmacological status, and served as valuable models to validate overcoming treatment strategies., Conclusion: The MATCH-R study highlights the feasibility of on purpose image guided tumor biopsies and PDX establishment to characterize resistance mechanisms and guide personalized therapies to improve outcomes in pre-treated metastatic patients., (© 2024. The Author(s).)

Background: Platinum-sensitivity is a phenotypic biomarker of Poly (ADP-ribose) polymerase inhibitors (PARPi) sensitivity in histotypes where PARPi are approved. Approximately one-third of non-small cell lung cancers (NSCLC) are platinum-sensitive. The double-blind, randomized phase II PIPSeN (NCT02679963) study evaluated olaparib, a PARPi, as maintenance therapy for patients with platinum-sensitive advanced NSCLC., Methods: Chemonaïve patients with ECOG performance status of 0-1, platinum-sensitive, EGFR- and ALK-wild-type, stage IIIB-IV NSCLC were randomized (R) to receive either olaparib (O) maintenance or a placebo (P). The primary objective was progression-free survival (PFS) from R. Secondary objectives included overall survival (OS) and safety. With an anticipated hazard ratio of 0.65, 144 patients were required to be randomized, and approximately 500 patients enrolled., Results: The trial was prematurely terminated because anti-PD(L)1 therapy was approved during the trial recruitment. A total of 182 patients were enrolled, with 60 patients randomized: 33 and 27 in the O and P arms, respectively. Patient and tumor characteristics were well-balanced between arms, except for alcohol intake (33% vs 11% in the O and P arms, respectively, p = 0.043). The median PFS was 2.9 and 2.0 months in the O and P arms, respectively (logrank p = 0.99). The median OS was 9.4 and 9.5 months in the O and P arms, respectively (p = 0.28). Grade ≥3 toxicities occurred in 15 and 8 patients in O and P arms, with no new safety concerns., Conclusion: PIPSeN was terminated early after enrollment of only 50% of the pre-planned population, thus being statistically underpowered. Olaparib maintenance did neither improve median PFS nor OS in this patient population., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Objectives: CEACAM5 is a cell-surface glycoprotein expressed on epithelial cells of some solid tumors. Tusamitamab ravtansine (SAR408701), a humanized antibody-drug conjugate targeting CEACAM5, is in clinical development for nonsquamous non-small cell lung cancer (NSQ-NSCLC) with CEACAM5 high expression (HE), defined as membranous CEACAM5 immunohistochemistry staining at ≥ 2+ intensity in ≥ 50% of tumor cells., Materials and Methods: We investigated correlations between CEACAM5 expression by immunohistochemistry, CEACAM5 protein expression by ELISA, and CEACAM5 RNA expression by RNA-seq in NSQ-NSCLC patient-derived xenograft (PDX) models, and tumor responses to tusamitamab ravtansine in these models. We assessed prevalence of CEACAM5 HE, clinicopathologic characteristics and molecular markers in patients with NSQ-NSCLC in clinical cohorts., Results: In a lung PDX set of 10 NSQ-NSCLC specimens, correlations between CEACAM5 by IHC, ELISA and RNA-seq ranged from 0.72 to 0.88. In a larger lung PDX set, higher H-scores were present in NSQ- (n = 93) vs SQ-NSCLC (n = 128) models, and in 12 of these NSQ-NSCLC models, more tumor responses to tusamitamab ravtansine occurred in CEACAM5 HE (5/8; 62.5%) versus moderate or negative expression (1/4; 25%), including 3 with KRAS mutations among the 6 responders. In clinical NSQ-NSCLC samples, CEACAM5 HE prevalence was (52/214; 24.3%) in primary tumors and (6/17; 35.3%) in metastases. In NSQ-NSCLC primary tumors, CEACAM5 HE prevalence was significantly higher in KRAS-altered versus wild-type (35.0% vs 19.5%; P = 0.028) and in programmed cell death ligand 1 (PD-L1) negative (tumor cells 0%)/low (1-49%) versus high (≥50%) (33.3%, 26.1%, 5.0%; P = 0.031), but not significantly different in EGFR-mutated versus wild-type (20.0% vs 25.7%, P = 0.626)., Conclusions: In NSQ-NSCLC tumors, CEACAM5 HE prevalence was 24.3% overall and was higher with KRAS altered and with PD-L1 negative/low tumors but similar regardless of EGFR mutation status. These findings support targeting CEACAM5 and the clinical development of tusamitamab ravtansine for patients with NSQ-NSCLC with CEACAM5 HE., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: E. Angevin has served in a consulting or advisory role for Merck Sharp & Dohme, GlaxoSmithKline, Celgene Research, and MedImmune; and reports travel/accommodations/other expenses from AbbVie, Roche, Sanofi, Pfizer, and MedImmune. J.-C. Soria is an employee of Amgen; holds stock in Gritstone Bio and Relay Therapeutics; and has served in a consulting or advisory role for Hookipa Pharmaceuticals. A.-M. Lefebvre, C. Nicolazzi, C. Larois, F. Attenot, F. Falda-Buscaiot, C. Dib, N. Ternès, A.-L. Bauchet, B. Demers, M. Chadjaa, S. Sidhu, C. Combeau, S. Naimi, M. Chiron, and C. Henry are employees of and hold stock in Sanofi. N. Masson is an employee of IT&M Stats, which was subcontracted by Sanofi to provide statistical services for this investigation. J. Adam and J.-Y. Scoazec have no disclosures to report., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Precision medicine for cancer is rapidly moving to an approach that integrates multiple dimensions of the biology in order to model mechanisms of cancer progression in each patient. The discovery of multiple drivers per tumor challenges medical decision that faces several treatment options. Drug sensitivity depends on the actionability of the target, its clonal or subclonal origin and coexisting genomic alterations. Sequencing has revealed a large diversity of drivers emerging at treatment failure, which are potential targets for clinical trials or drug repurposing. To effectively prioritize therapies, it is essential to rank genomic alterations based on their proven actionability. Moving beyond primary drivers, the future of precision medicine necessitates acknowledging the intricate spatial and temporal heterogeneity inherent in cancer. The advent of abundant complex biological data will make artificial intelligence algorithms indispensable for thorough analysis. Here, we will discuss the advancements brought by the use of high-throughput genomics, the advantages and limitations of precision medicine studies and future perspectives in this field., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Therapeutic strategies harnessing the immune system to eliminate tumour cells have been successfully used for several cancer types, including in patients with advanced-stage non-small-cell lung cancer (NSCLC). In these patients, immune-checkpoint inhibitors (ICIs) can provide durable responses and improve overall survival either as monotherapy, or combined with chemotherapy or other immunotherapeutic agents. However, the implementation of ICIs in early stage NSCLC has been hampered by the continuous struggle to develop robust end points to assess their efficacy in this setting, especially those enabling a fast and reproducible evaluation of the clinical activity of neoadjuvant strategies. Several trials are testing ICIs, alone or in combination with chemotherapy, in early stage NSCLC as an adjuvant, neoadjuvant or perioperative approach. As a novelty, most trials in the neoadjuvant setting have adopted pathological response as a primary end point. ICIs have been approved for use in the neoadjuvant and adjuvant settings on the basis of event-free survival and disease-free survival benefit, respectively; however, the correlation of these end points with overall survival remains unclear in these settings. Unresolved challenges for the optimal use of ICIs with curative intent include concerns about their applicability in daily clinical practice and about improving patient selection based on predictive biomarkers or assessment of pathological response and minimal residual disease. In this Review, we discuss the rationale, available strategies and current trial landscape for the implementation of ICIs in patients with resectable NSCLC, and we further elaborate on future approaches to optimize their clinical benefit., (© 2023. Springer Nature Limited.)

Background: Adjuvant chemotherapy (AC) is indicated for stage II and stage III lung adenocarcinomas (ADC). Using the LACE Bio II database, we analyzed the distribution of various mutations across the subtypes of ADCs and studied the prognostic and predictive roles of PD-L1, TMB, and Tumor Infiltrating Lymphocytes (TILs)., Materials and Methods: Clinical and genomic data from the LACE Bio II data were extracted. Patients were divided into ADC subtypes, in which the grouping was done based on their known clinical behavior (Lepidic [LEP], Acinar/Papillary [ACI or PAP], Micropapillary/Solid [MIP or SOL], Mucinous [MUC] and Others). Kaplan-Meier (KM) and log-rank test were used to compare survival based on PD-L1, TMB, TILs and combinations of TMB with PD-L1 and TILs. Adjusted Hazard Ratios (HR) were analyzed with Overall Survival (OS), Disease-Free Survival (DFS) and Lung Cancer-Specific Survival (LCSS) as endpoints., Results: A total of 375 ADC patients were identified. MIP/SOL was the subtype most commonly positive for various biomarkers. PD-L1 Negative/high TMB was associated with better outcomes in terms of OS (HR = 0.46 [0.23-0.89], P = .021) and DFS (HR = 0.52 [0.30-0.90], P = .02), relative to PD-L1 Negative/low TMB. High TMB predicted worse outcome with AC use in terms of OS (ratio of hazard ratio rHR = 2.75 [1.07-7.04], P = .035). Marked TILs had better outcome with AC for DFS (rHR = 0.22 [0.06-0.87], P = .031 and LCSS (rHR = 0.08 [0.01-0.66], P = .019) respectively. There was also a beneficial effect of AC among patients with Marked TILs/low TMB in terms of DFS (rHR = 0.06 [0.01-0.53], P = .011)., Conclusion: High TMB has a prognostic role in resectable lung ADC. The high TMB group had a poor outcome with AC, suggesting that this group may be better served with immune checkpoint therapy., Competing Interests: Declaration of Competing Interest Prashanth Ashok Kumar: no disclosures or conflict of interest. Maryam Karimi: no disclosures or conflict of interest. Alina Basnet: no disclosures or conflict of interest. Lesley Seymour: stock or other ownership. AstraZeneca, consulting or advisory role. Boehringer Ingelheim, Hanmi, Research Funding: Pfizer (Inst), AstraZeneca (Inst), Innate Pharma (Inst), Oncolytics (Inst), Merck (Inst), Senwha (Inst). Bob Kratzke: no disclosures or conflict of interest. Elizabeth Brambilla: no disclosures or conflict of interest. Thierry Le-Chevalier: no disclosures or conflict of interest. Jean-Charles Soria: Employment: medimmune, stock or other ownership, AstraZeneca/MedImmune, Honoraria, Roche, AstraZeneca, Sanofi, Servier. Lesley Seymour: stock or other ownership, AstraZeneca, consulting or advisory role, Boehringer Ingelheim, Hanmi, Research Funding, Pfizer (Inst), AstraZeneca (Inst), Innate Pharma (Inst), Oncolytics (Inst), Merck (Inst), Senwha (Inst). Ken André Olaussen: no disclosures or conflict of interest. Siddhartha Devarakonda: no disclosures or conflict of interest. Ramaswamy Govindan: Honoraria, AbbVie, Genentech, Consulting or Advisory Role, Pfizer, Celgene, AstraZeneca, AbbVie, Merck, Inivata, EMD Serono, Genentech, Bristol-Myers Squibb, Nektar, Merck Serono, Adaptimmune, Phillips Gilmore Oncology, GlaxoSmithKline, Research Funding, National Cancer Institute. Ming-Sound Tsao: no disclosures or conflict of interest. Frances A Shepherd: stock or other ownership, Eli Lilly, AstraZeneca, Honoraria, Eli Lilly, AstraZeneca, Bristol-Myers Squibb, Roche, Merck Sharp & Dohme, Merck Serono, Boehringer Ingelheim, Consulting or Advisory Role, Eli Lilly, AstraZeneca, Boehringer Ingelheim, Merck Serono, Research Funding, Eli Lilly (Inst), Pfizer (Inst), Bristol-Myers Squibb (Inst), AstraZeneca/MedImmune (Inst), Roche Canada (Inst), Merrimack (Inst). Stefan Michiels: Consulting or Advisory Role, IDDI, Hexal, Johnson & Johnson, Genticel, Mabxience, Roche, QuintilesIMS, Patents, Royalties, Other Intellectual Property, Patent pending of a prognostic gene score in early breast cancer: WO2017EP66533. Stephen Graziano: no disclosures or conflict of interest., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Investigation of the disparities in the access to experimental treatment in early-phase clinical trials is lacking. The objective of the EGALICAN-2 study was to identify the factors underpinning such inequalities., Methods: A national prospective survey was conducted in 11 early-phase clinical trial centers (CLIP 2 ) certified by the French National Cancer Institute. Sociodemographic, socioeconomic and medical data were collected. Univariate logistic regression models were carried out to estimate odds ratios and 90% confidence intervals associated with the effect of each study variable. A multivariate logistic regression model was built to explore the independent factors associated with the administration of the experimental treatment (C1D1). A post hoc analysis was carried out excluding female cancer patients., Results: Between 2015 and 2016, 1355 patients referred from 11 CLIP 2 centers in France were included in the study. Eight hundred and forty-eight patients received C1D1 (73%) and 320 patients (27%) were screening failure. Median age was 58 years (range 17-97 years) and 667 patients (54%) were female. Most patients had a metastatic disease (n = 751, 87%). In the multivariate logistic regression analysis, the significant independent factors associated with C1D1 were male sex, initial care received in a hospital with an early-phase unit and living in wealthy metropolitan areas (P values <0.05). In the post hoc analysis, the sex factor was no longer significant [odds ratio = 1.21 (95% confidence interval 0.86-1.70), P value = 0.271]., Conclusions: This study investigated the factors producing social inequalities in the context of early-phase clinical trials in oncology. Our research highlights factors of sex, care pathway and geographic location. Gynecological cancer was found to impact C1D1 significantly, unlike breast cancer. The results of this study should contribute to improve patient access to early-phase clinical trials., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Cancer immunotherapy combinations have recently been shown to improve the overall survival of advanced mesotheliomas, especially for patients responding to those treatments. We aimed to characterize the biological correlates of malignant pleural mesotheliomas' primary resistance to immunotherapy and antiangiogenics by testing the combination of pembrolizumab, an anti-PD-1 antibody, and nintedanib, a pan-antiangiogenic tyrosine kinase inhibitor, in the multicenter PEMBIB trial (NCT02856425). Thirty patients with advanced malignant pleural mesothelioma were treated and explored. Unexpectedly, we found that refractory patients were actively recruiting CD3+CD8+ cytotoxic T cells in their tumors through CXCL9 tumor release upon treatment. However, these patients displayed high levels of somatic copy-number alterations in their tumors that correlated with high blood and tumor levels of IL6 and CXCL8. Those proinflammatory cytokines resulted in higher tumor secretion of VEGF and tumor enrichment in regulatory T cells. Advanced mesothelioma should further benefit from stratified combination therapies adapted to their tumor biology., Significance: Sequential explorations of fresh tumor biopsies demonstrated that mesothelioma resistance to anti-PD-1 + antiangiogenics is not due to a lack of tumor T-cell infiltration but rather due to adaptive immunosuppressive pathways by tumors, involving molecules (e.g., IL6, CXCL8, VEGF, and CTLA4) that are amenable to targeted therapies. This article is highlighted in the In This Issue feature, p. 799., (©2023 The Authors; Published by the American Association for Cancer Research.)

Background: Circulating tumor DNA (ctDNA) sequencing is a promising approach for tailoring therapy in patients with cancer. We report hereby the results from a prospective study where we investigated the impact of comprehensive molecular profiling of ctDNA in patients with advanced solid tumors., Patients and Methods: Genomic analysis was performed using the FoundationOne Liquid CDx Assay [324 genes, tumor mutational burden (TMB), microsatellite instability status]. Each individual genomic report was reviewed and discussed weekly by a multidisciplinary tumor board (MTB). Actionable targets were classified by ESMO Scale for Clinical Actionability of Molecular Targets (ESCAT) tier leading to molecular-based treatment suggestions wherever it was possible., Results: Between December 2020 and November 2021, 1772 patients with metastatic solid tumors underwent molecular profiling. Median time to assay results was 12 days. Results were contributive for 1658 patients (94%). At least one actionable target was detected in 1059 patients (64%) with a total of 1825 actionable alterations including alteration of the DNA damage repair response pathway (n = 336, 18%), high TMB (>16 mutations/Mb; n = 243, 13%), PIK3CA mutations (n = 150, 8%), ERBB family pathway alterations (n = 127, 7%), PTEN alterations (n = 95, 5%), FGFR alterations (n = 67, 4%) and MET activations (n = 13, 0.7%). The MTB recommended a matched therapy for 597 patients (56%) with a total of 819 therapeutic orientations: clinical trials (n = 639, 78%), off-label/compassionate use (n = 81, 10%), approved drug (n = 51, 6%), and early access program (n = 48, 6%). In total, 122 patients (21%) were treated. Among the assessable patients (n = 107), 4 (4%) had complete response, 35 (33%) had partial response, 27 (25%) had stable disease, and 41 (38%) a progressive disease as best response. The median progression-free survival and median overall survival were 4.7 months (95% confidence interval 2.7-6.7 months) and 8.3 months (95% confidence interval 4.7-11.9 months) respectively., Conclusions: ctDNA sequencing with a large panel is an efficient approach to match patients with advanced cancer with targeted therapies., (Copyright © 2023 European Society for Medical Oncology. Published by Elsevier Ltd. All rights reserved.)

Advances in molecular profiling of newly diagnosed diffuse large B-cell lymphoma (DLBCL) have recently refine genetic subgroups. Genetic subgroups remain undetermined at the time of relapse or refractory (RR) disease. This study aims to decipher genetic subgroups and search for prognostic molecular biomarkers in patients with RR-DLBCL. From 2015 to 2021, targeted next-generation sequencing analyses of germline-matched tumor samples and fresh tissue from RR-DLBCL patients were performed. Unsupervised clustering of somatic mutations was performed and correlations with patient outcome were sought. A number of 120 patients with RR-DLBCL were included in LNH-EP1 study and a molecular tumor landscape was successfully analyzed in 87% of patients (104/120 tumor samples). The median age was 67.5 years (range 27.4-87.4), median number of previous treatments was 2 (range 1-9). The most frequently mutated genes were TP53 (n = 53 mutations; 42% of samples), CREBBP (n = 39; 32%), BCL2 (n = 86; 31%), KMT2D (n = 39; 28%) and PIM1 (n = 54; 22%). Unsupervised clustering separated three genetic subgroups entitled BST (enriched in BCL2, SOCS1, and TNFRSF14 mutations); TKS (enriched in TP53, KMT2D, and STAT6 mutations); and PCM (enriched in PIM1, CD79B, and MYD88 mutations). Median overall survival (OS) was 11.0 (95% confidence interval [CI]: 8.1-12.6) months. OS was not significantly different between the three genetic subgroups. GNA13 mutant was significantly associated with an increased risk of death (hazard ratio: 6.6 [95% CI: 2.1-20.6]; p = .0011) and shorter OS (p = .0340). At the time of relapse or refractory disease, three genetic subgroups of DLBCL patients were delineated, which could help advance precision molecular medicine programs., (© 2023 The Authors. American Journal of Hematology published by Wiley Periodicals LLC.)

Since its launch in 2006, Twitter has become a commonly used platform for sharing medical information, especially in the field of oncology. However, its role and impact on young oncologists' education remain unclear. Moreover, COVID-19 and congress virtualization is likely to have modified Twitter use by the medical society.We conducted a national survey (27 questions) in France among medical oncology, hematology, and radiation therapy young doctors to help better understand the role played by Twitter on their medical education. One hundred eighty-three young oncologists participated in our survey. A majority does not use Twitter (72.1%), mostly to reduce their time spent on social media. Participants using Twitter (27.9%) often use it more than once a week, mostly by scrolling on their news feed. Interestingly, they rarely express their own opinion on Twitter: a majority of them (75.5%) tweet less than once a month while the rest of them mostly retweet others' tweets. They mainly follow English-speaking experts, scientific societies, and medical journals. Pharmaceutical laboratories' accounts are of less significance. Overall Twitter usage seems increasing since COVID-19 pandemic and the consequent digitalization of congresses. No statistical difference was observed between the baseline characteristics of Twitter users and non-users.This survey shows that Twitter is a relevant mean of continuous medical education used by around a third of French young oncologists, especially since COVID-19 pandemic and the virtualization of congresses. This media should be considered and evaluated for its educational advantages or potential biases., (© 2021. The Author(s).)

Aim: Anti-PD-(L)1 immunotherapies improve survival in multiple cancers but remain ineffective for most patients. We applied machine-learning algorithms and multivariate analyses on baseline medical data to estimate their relative impact on overall survival (OS) upon anti-PD-(L)1 monotherapies., Method: This prognostic/predictive study retrospectively analysed 33 baseline routine medical variables derived from computed tomography (CT) images, clinical and biological meta-data. 695 patients with a diagnosis of advanced cancer were treated in prospective clinical trials in a single tertiary cancer centre in 3 cohorts including systemic anti-PD-(L)1 (251, 235 patients) versus other systemic therapies (209 patients). A random forest model combined variables to identify the combination (signature) which best estimated OS in patients treated with immunotherapy. The performance for estimating OS [95%CI] was measured using Kaplan-Meier Analysis and Log-Rank test., Results: Elevated serum lactate dehydrogenase (LDH hi ) and presence of liver metastases (LM+) were dominant and independent predictors of short OS in independent cohorts of melanoma and non-melanoma solid tumours. Overall, LDH hi LM+ patients treated with anti-PD-(L)1 monotherapy had a poorer outcome (median OS: 3.1[2.4-7.8] months]) compared to LDH low LM-patients (median OS: 15.3[8.9-NA] months; P < 0.0001). The OS of LDH low LM-patients treated with immunotherapy was 28.8[17.9-NA] months (vs 13.1[10.8-18.5], P = 0.02) in the overall population and 30.3[19.93-NA] months (vs 14.1[8.69-NA], P = 0.0013) in patients with melanoma., Conclusion: LDH hi LM+ status identifies patients who shall not benefit from anti-PD-(L)1 monotherapy. It could be used in clinical trials to stratify patients and eventually address this specific medical need., Competing Interests: Conflict of interest statement Mithat Gönen. Consulting or Advisory Role: Tesaro. Aurelien Marabelle. In the last 5 years, consulting and/or participation to scientific advisory boards with the following companies developing or commercialising anti-PD(L)1 antibodies: BMS, MSD, Roche/Genentech, Astra Zeneca, Pfizer, Sanofi, Novartis, Merck Serono, Symphogen, Servier, GSK. Lawrence H. Schwartz. Consulting or Advisory Role: Novartis, Regeneron. Research Funding: Merck Sharp & Dohme (Inst), Pfizer (Inst), BMS (Inst). Patents, Royalties, Other Intellectual Property: Varian Medical Systems. Jean-Charles Soria. In the last 3 years, consultancy fees from: AstraZeneca, Astex, Clovis, GSK, GamaMabs, Lilly, MSD, Mission Therapeutics, Merus, Pfizer, PharmaMar, Pierre Fabre, Roche-Genentech, Sanofi, Servier, Symphogen, Takeda. Full time employee for AstraZeneca from September 2017 to December 2019. Shareholder Gritstone. Lambros Tselikas. Grants: Terumo, BMS foundation. Fees, education, lecture: BMS, Boston Scientific, GE, Guerbet, Sirtex. Other authors. None., (Copyright © 2022 Elsevier Ltd. All rights reserved.)