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Background The sensitivity and specificity of minimal residual disease detected by circulating tumor DNA profiling (ctDNA MRD) in lung cancer, with particular attention to the distinction between landmark strategy and surveillance strategy, for predicting relapse in lung cancer patients after definitive therapy has yet to be determined. Methods The prognostic value of ctDNA MRD by landmark strategy and surveillance strategy was evaluated in a large cohort of patients with lung cancer who received definitive therapy using a systemic literature review and meta-analysis. Recurrence status stratified by ctDNA MRD result (positive or negative) was extracted as the clinical endpoint. We calculated the area under the summary receiver operating characteristic curves, and pooled sensitivities and specificities. Subgroup analyses were conducted based on histological type and stage of lung cancer, types of definitive therapy, and ctDNA MRD detection methods (detection technology and strategy such as tumor-informed or tumor-agnostic). Results This systematic review and meta-analysis of 16 unique studies includes 1251 patients with lung cancer treated with definitive therapy. The specificity of ctDNA MRD in predicting recurrence is high (0.86–0.95) with moderate sensitivity (0.41–0.76), whether shortly after treatment or during the surveillance. The landmark strategy appears to be more specific but less sensitive than the surveillance strategy. Conclusions Our study suggests that ctDNA MRD is a relatively promising biomarker for relapse prediction among lung cancer patients after definitive therapy, with a high specificity but suboptimal sensitivity, whether in landmark strategy or surveillance strategy. Although surveillance ctDNA MRD analysis decreases specificity compared with the landmark strategy, the decrease is minimal compared to the increase in sensitivity for relapse prediction of lung cancer.

Previous studies have shown that metabolites play important roles in phenotypic regulation, but the causal link between metabolites and tumors has not been examined adequately. Herein, we investigate the causality between metabolites and various cancers through a Mendelian randomization (MR) study.We carried out a two-sample MR analysis based on genetic instrumental variables as proxies for 486 selected human serum metabolites to evaluate the causal effects of genetically determined metabotypes (GDMs) on cancers. Summary data from various cancer types obtained from large consortia. Inverse variance weighted (IVW), MR-Egger and weighted-median methods were implemented to infer the causal effects, moreover, we particularly explored the presentence of horizontal pleiotropy through MR-Egger regression and MR-PRESSO Global test. Metabolic pathways analysis and subgroup analyses were further explored using available data. Statistical analyses were all performed in R.In MR analysis, 202 significant causative relationship features were identified. 7-alpha-hydroxy-3-oxo-4-cholestenoate (OROur study integrated metabolomics and genomics to explore the risk factors involved in the development of cancers. It is worth exploring whether metabolites with causality can be used as biomarkers to distinguish patients at high risk of cancer in clinical practice. More detailed studies are needed to clarify the mechanistic pathways.

Lung cancer is associated with a heavy cancer-related burden in terms of patients’ physical and mental health worldwide. Two randomized controlled trials, the US-National Lung Screening Trial (NLST) and Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON), indicated that low-dose CT (LDCT) screening results in a statistically significant decrease in mortality in patients with lung cancer, LDCT has become the standard approach for lung cancer screening. However, many issues in lung cancer screening remain unresolved, such as the screening criteria, high false-positive rate, and radiation exposure. This review first summarizes recent studies on lung cancer screening from the US, Europe, and Asia, and discusses risk-based selection for screening and the related issues. Second, an overview of novel techniques for the differential diagnosis of pulmonary nodules, including artificial intelligence and molecular biomarker-based screening, is presented. Third, current explorations of strategies for suspected malignancy are summarized. Overall, this review aims to help clinicians understand recent progress in lung cancer screening and alleviate the burden of lung cancer.

To reveal the correlation of dynamic serum tumor markers (STMs) and molecular features of epidermal growth factor receptor-mutated (EGFR-mutated) lung cancer during targeted therapy, we retrospectively reviewed 303 lung cancer patients who underwent dynamic STM tests [neuron-specific enolase (NSE), carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125), carbohydrate antigen 153 (CA153), the soluble fragment of cytokeratin 19 (CYFRA21-1), and squamous cell carcinoma antigen (SCC)] and circulating tumor DNA (ctDNA) testing with a panel covering 168 genes. At baseline, patients with EGFR mutation trended to have abnormal CEA, abnormal CA153, and normal SCC levels. Additionally, patients with Thr790Met (T790M) mutation were more likely to have abnormal CEA levels than patients without T790M mutation. Among patients with secondary resistance to EGFR tyrosine kinase inhibitors (TKI), the dynamic STMs showed a descending trend in the responsive stage and a rising trend in the resistant stage. However, the changing slopes differed between T790M subgroup and the non-T790M subgroup in individual STMs. Our study demonstrated that the combination of baseline levels and variations of STMs (including the responsive stage and resistant stage) can be suggestive of secondary EGFR-T790M mutation [area under the curve (AUC) = 0.897] and that changing trends of STMs (within 8 weeks after initiating the TKI therapy) can be potential predictors for the clearance of EGFR ctDNA [AUC = 0.871]. In conclusion, dynamic monitoring STMs can help to predict the molecular features of EGFR-mutated lung cancer during targeted therapy.

This study aimed to establish a non-invasive radiomics model based on computed tomography (CT), with favorable sensitivity and specificity to predict EGFR mutation status in GGO-featured lung adenocarcinoma subsequently guiding the administration of targeted therapy.Clinical-pathological information and preoperative CT images of 636 lung adenocarcinoma patients (464, 100, and 72 in the training, internal, and external validation sets, respectively) that underwent GGO lesions resection were included. A total of 1476 radiomics features were extracted with gradient boosting decision tree (GBDT).The established radiomics model containing 102 selected features showed an encouraging discrimination performance of EGFR mutation status (mutant or wild type), and the predictive ability was superior to that of the clinical model (AUC: 0.838 vs. 0.674, 0.822 vs. 0.730, and 0.803 vs. 0.746 for the training, internal validation, and external validation sets, respectively). The combined radiomics plus clinical model showed no additional benefit over the radiomics model in predicting EGFR status (AUC: 0.846 vs. 0.838, 0.816 vs. 0.822, and 0.811 vs. 0.803, respectively, in three cohorts). Uniquely, this model was validated in a cohort of lung adenocarcinoma patients who have undertaken adjuvant EGFR-TKI treatment and harbored unresected GGOs during the medication, leading to a significantly improved potency of EGFR-TKIs (response rate: 25.9% vs. 53.8%, p = 0.006; before and after prediction, respectively).This presented radiomics model can be served as a non-invasive and time-saving approach for predicting the EGFR mutation status in lung adenocarcinoma presenting as GGO.• We developed a GGO-specific radiomics model containing 102 radiomics features for EGFR mutation status differentiation. • An AUC of 0.822 and 0.803 in the internal and external validation cohorts, respectively, were achieved. • The radiomics model was utilized in clinical translation in an adjuvant EGFR-TKI treatment cohort with unresected GGOs. A significant improvement in the potency of EGFR-TKIs was achieved (response rate: 25.9% vs. 53.8%, p = 0.006; before and after prediction).

Background Although the association between gastroesophageal reflux disease (GERD) and chronic respiratory diseases was found in previous observational studies, it remains uncertain whether GERD causally influences them. Herein, we aimed to estimate the causal associations between GERD and 5 chronic respiratory diseases. Methods 88 GERD-associated single nucleotide polymorphisms (SNPs) identified by the latest genome-wide association study were included as instrumental variables. Individual-level genetic summary data of participants were obtained from corresponding studies and the FinnGen consortium. We applied the inverse-variance weighted method to estimate the causality between genetically predicted GERD and 5 chronic respiratory diseases. Furthermore, the associations between GERD and common risk factors were investigated, and mediation analyses were conducted using multivariable MR. Various sensitivity analyses were also performed to verify the robustness of the findings. Results This study demonstrated that genetically predicted GERD was causally associated with an increased risk of asthma (OR 1.39, 95%CI 1.25–1.56, P P = 0.022), chronic obstructive disease (COPD) (OR 1.64, 95%CI 1.41–1.93, P P = 0.009), while no correlation was observed for bronchiectasis (OR 0.93, 95%CI 0.68–1.27, P = 0.645). Additionally, GERD was associated with 10 common risk factors for chronic respiratory diseases. Nevertheless, no significant mediators were discovered. Conclusions Our study indicated that GERD was a causal factor in the development of asthma, IPF, COPD and chronic bronchitis, suggesting that GERD-associated micro-aspiration of gastric contents process might play a role in the development of pulmonary fibrosis in these diseases.

Background The relationship between insomnia and lung cancer is scanty. The Mendelian randomization approach provides the rationale for evaluating the potential causality between genetically-predicted insomnia and lung cancer risk. Methods We extracted 148 insomnia-related single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) from published genome-wide association studies (GWASs). Summary data of individual-level genetic information of participants were obtained from the International Lung Cancer Consortium (ILCCO) (29,266 cases and 56,450 controls). MR analyses were performed using the inverse-variance-weighted approach, MR pleiotropy residual sum and outlier (MR-PRESSO) test, weighted median estimator, and MR-Egger regression. Sensitivity analyses were further performed using Egger intercept analysis, leave-one-out analysis, MR-PRESSO global test, and Cochran's Q test to verify the robustness of our findings. Results The results of the MR analysis indicated an increased risk of lung cancer in insomnia patients (OR = 1.1671; 95% CI 1.0754–1.2666, p = 0.0002). The subgroup analyses showed increased risks of lung adenocarcinoma (OR = 1.1878; 95% CI 1.0594–1.3317, p = 0.0032) and squamous cell lung cancer (OR = 1.1595; 95% CI 1.0248–1.3119, p = 0.0188). Conclusion Our study indicated that insomnia is a causal risk factor in the development of lung cancer. Due to the lack of evidence on both the epidemiology and the mechanism level, more studies are needed to better elucidate the results of the study.

Conventional immunohistochemistry technologies were limited by the inability to simultaneously detect multiple markers and the lack of identifying spatial relationships among cells, hindering understanding of the biological processes in cancer immunology.Tissue slices of primary tumours from 553 IA∼IIIB non-small cell lung cancer (NSCLC) cases were stained by multiplex immunofluorescence (mIF) assay for 10 markers, including CD4, CD38, CD20, FOXP3, CD66b, CD8, CD68, PD-L1, CD133 and CD163, evaluating the amounts of 26 phenotypes of cells in tumour nest and tumour stroma. StarDist depth learning model was utilised to determine the spatial location of cells based on mIF graphs. Single-cell RNA sequencing (scRNA-seq) on four primary NSCLC cases was conducted to investigate the putative cell interaction networks.Spatial proximity among CD20+ B cells, CD4+ T cells and CD38+ T cells (rWe developed a framework to analyse the cell interaction networks in tumour microenvironment, revealing the spatial architecture and intricate interplays between immune and tumour cells.

Several articles have shown that birth weight is associated with the risk of many types of cancers. However, the results are inconsistent, and whether the relationship has a causal effect remains unknown.We searched the PubMed and Embase libraries up to March 2021 and selected observational studies reporting the relationship between birth weight and adult-onset cancer risk. Dose-response meta-analysis and two-sample Mendelian randomization (MR) analysis were used to estimate the effect.In our dose-response meta-analysis, six cancers from 46 studies were found to have significant associations with birth weight. (Ovarian cancer: RR: 1.21, 95% CI 1.01-1.44; breast cancer: RR: 1.12, 95% CI 1.08-1.16; colorectal cancer: RR: 1.20, 95% CI 1.01-1.43; endometrial cancer: RR: 0.85, 95% CI 0.78-0.93; prostate cancer: RR: 1.27, 95% CI 1.01-1.61; testicular cancer: RR: 1.21, 95% CI 1.03-1.43). As birth weight increased, the slope of the dose-response curve of breast cancer increased continuously, and the curve of testicular cancer was U-shaped. In the MR study, seven cancers were included. Only invasive mucinous ovarian cancer was found to have a causal effect on birth weight (OR: 0.62; 95% CI 0.39-0.97), while other cancers did not.Our findings suggest that birth weight are unlikely to have a casual effect on risk of cancers via the MR analysis, although the dose-response meta-analysis shows that there is a nonlinear relationship between birth weight and breast cancer and testicular cancer. More relevant researches are needed to further investigate their effect.

BACKGROUND: Growing evidence suggests that female reproductive factors, like age at first birth (AFB), may play a potential role in the progression of lung cancer (LC). However, previous studies are susceptible to confounding factors, inadequate attention to variation by histology or reverse causality. Few studies have comprehensively evaluated their association and the causal effect remains unclear. METHODS: We aimed to determine whether AFB is causally correlated with the risk of LC, by means of utilizing aggregated data from the large genome-wide association studies conducted on AFB (251,151 individuals) and data of LC from International Lung and Cancer Consortium (ILCCO, 11,348 cases and 15,861 controls). We used 10 AFB-related single nucleotide polymorphisms as instrument variables and applied several two-sample Mendelian randomization (MR) methods. Secondary results according to different histological subtypes of lung cancer were also implemented. RESULTS: Conventional inverse-variance weighted method indicated that genetic predisposition towards number unit (1 year) increase of AFB was associated with a 18% lower risk of LC [odds ratio (OR) =0.82, 95% confidence interval (CI): 0.69–0.97; P=0.029]. When results were examined by histotypes, an inverse association was observed between genetically predisposed number unit (1 year) increase of AFB and lung adenocarcinoma (OR =0.75, 95% CI: 0.59–0.97, P=0.017) but not with squamous cell lung cancer (OR =0.77, 95% CI: 0.57–1.05, P=0.103). The results demonstrated no association between number unit decrease of AFB and LC. Pleiotropy was not presented through sensitivity analyses including MR pleiotropy residual sum and outlier test (P=0.412). Genetic predisposition towards older AFB was additionally associated with longer years of schooling (OR =1.12, 95% CI: 1.08–1.16, P

Background It remains uncertain whether there is a protective effect of inhaled corticosteroids (ICs) against lung cancer in chronic obstructive pulmonary disease (COPD) patients. Methods Databases including PubMed, Web of Science, EMBASE, and Medline were comprehensively searched. Random-effects model meta-analysis was conducted to calculate the hazard ratios (HRs) for lung cancer incidence among ICs users versus non-ICs users in patients with COPD. Stratified analysis was performed based on region and age of each study. This review was registered on PROSPERO (registration number CRD42020159082). Results Based on data from 181,859 COPD patients with a total follow-up duration of 1,109,339.9 person-years, we identified that the use of ICs in COPD patients was associated with a decreased risk of lung cancer [HR: 0.73, 95% confidence interval (CI): 0.62-0.86; P

There are increasing numbers of synchronous multiple primary lung cancer (SMPLC) patients in clinical practice, with most lesions presenting as ground-glass opacity (GGO). For SMPLC patients, surgical resection should be a prior option for all lesions suspected of being malignant, if medically and technically feasible. However, it is frequently a dilemma for the management of residual GGO lesions that were unresected simultaneously with the main tumor in SMPLC patients. We report a case of SMPLC, in which the patient underwent surgical resection of the major lesion with EGFR mutation and then received compelling EGFR-TKI treatment for one enlarging residual GGO lesion after 12 months since operation. Furthermore, a comprehensive literature review about the risk for the progress of GGOs unresected simultaneously with the main lesion and the management of these residual GGOs was also summarized. With the treatment of EGFR-TKI gefitinib for 3 months, the biggest residual GGO lesion (more than 10mm) achieved a complete response (CR), three lesions reduced in size, and the other three lesions remained stable in this case. Surgical resection for major lesion and EGFR-TKI treatment on unresected GGOs might bring favorable outcome for patients with EGFR-mutated multifocal lung cancer. This strategy is safe and effective, which could be a promising therapeutic approach for unresectable GGO lesions in EGFR-mutated SMPLC patients after primary surgery. Notably, folate receptor-positive circulating tumor cell (FR+-CTC) for therapeutic monitoring was more sensitive for GGO-featured lung adenocarcinoma than serum markers.

The association between polycystic ovary syndrome (PCOS) and breast cancer remains inconclusive. Conventional observational studies are susceptible to inverse causality and potential confounders. With a Mendelian randomization (MR) approach, we aimed to investigate the causal relationship between genetically predicted PCOS and breast cancer risk. Our study included 11 PCOS-associated single nucleotide polymorphisms as instrumental variables identified by the latest genome-wide association study. Individual-level genetic summary data of participants were obtained from the Breast Cancer Association Consortium, with a total of 122,977 cases and 105,974 controls. The inverse-variance weighted method was applied to estimate the causality between genetically predicted PCOS and breast cancer risk. To further evaluate the pleiotropy, the weighted median and MR-Egger regression methods were implemented as well. Our study demonstrated that genetically predicted PCOS was causally associated with an increased risk of overall breast cancer (odds ratio (OR) = 1.07; 95% confidence interval (CI) 1.02–1.12, p = 0.005). The subgroup analyses according to immunohistochemical type further illustrated that genetically predicted PCOS was associated with an increased risk of estrogen receptor (ER)-positive breast cancer (OR = 1.09; 95% CI 1.03–1.15, p = 0.002), while no causality was observed for ER-negative breast cancer (OR = 1.02; 95% CI 0.96–1.09, p = 0.463). In addition, no pleiotropy was found in our study. Our findings indicated that PCOS was likely to be a causal factor in the development of ER-positive breast cancer, providing a better understanding for the etiology of breast cancer and the prevention of breast cancer.

Background The addition of chemotherapy to a programmed death 1/programmed death ligand 1 (PD-L1) inhibitor is a more effective option as a first-line treatment for advanced non-small cell lung cancer (NSCLC). It might also inhibit an overactive immune response and thereby reduce immune-related adverse events (irAEs). This meta-analysis assessed the rate of irAEs with a PD-(L)1 inhibitor plus chemotherapy (I+C) versus a PD-(L)1 inhibitor alone (I) and evaluated the indirect relative risk (RR) of I+C versus I. Methods The protocol of this study was registered with PROSPERO (CRD42020139923). The pooled rates of irAEs at different grades were calculated by a single-arm meta-analysis weighted by sample size, and RRs were determined by direct meta-analysis and indirect treatment comparison. Results Overall, I+C had a lower rate of grade 3 or higher irAEs than I (7.1% vs 10.6%; indirect RR, 0.516; 95% confidence interval [CI], 0.291-0.916), although irAEs of any grade were similar. The rate of pneumonitis with I+C was lower than the rate with I for any grade (5.9% vs 7.1%; indirect RR, 0.217; 95% CI, 0.080-0.588) and for grade 3 or higher. In the endocrine system, I+C was associated with a lower overall ratein comparison with I (16.1% vs 20.1%; indirect RR, 0.260; 95% CI, 0.120-0.564), whereas irAEs of the digestive system were similar with I+C and I. In other systems, I+C decreased the rate of skin reactions, including rash, in comparison with I (10.4% vs 12.9%; indirect RR, 0.474; 95% CI, 0.299-0.751). The rate of grade 3 or higher skin reactions (excluding rash) also decreased with I+C versus I (1.1% vs 2.0%) with an indirect RR of 0.158 (95% CI, 0.032-0.765), whereas other included irAEs were similar. Conclusions In comparison with a PD-(L)1 inhibitor alone, a combination with chemotherapy for the first-line treatment of NSCLC decreased the rates of most irAEs, such as pneumonitis and endocrine and skin reactions, and the overall rate. Lay summary In the first-line treatment of advanced non-small cell lung cancer (NSCLC), the addition of chemotherapy to a programmed death 1/programmed death ligand 1 (PD-(L)1) inhibitor is a more effective option. Adding chemotherapy might reduce immune-related adverse events (irAEs). Thus, this article assesses the rate of irAEs with a PD-(L)1 inhibitor plus chemotherapy (I+C) in comparison with a PD-(L)1 inhibitor alone (I) and evaluates the indirect relative risk (RR) with I+C versus I. The key finding is that in comparison with a PD-(L)1 inhibitor alone, a combination with chemotherapy for the first-line treatment of NSCLC decreases the rates of most irAEs, such as pneumonitis and endocrine and skin reactions, and the overall rate.

Background Epidemiological evidence suggested that systemic lupus erythematosus (SLE) might be correlated with an increased risk of lung cancer. Nevertheless, few studies have comprehensively investigated their correlation and the causal effect remains unclear. With a meta-analysis and Mendelian randomization (MR) approach, we were able to systematically investigate the relationship between SLE and lung cancer risk. Methods A systematic search of cohort studies was conducted using network databases from the inception dates to February 1, 2020. Meta-analysis was performed to calculate standardized incidence rate (SIR) and their 95% CI. Furthermore, utilizing 33 SLE-related single nucleotide polymorphisms as instrumental variables (IVs) identified by the latest genome-wide association studies (GWASs), we investigated the correlation between genetically predisposed SLE and lung cancer risk using summary statistics from the International Lung Cancer Consortium (11,348 cases and 15,861 controls). The Inverse variance-weighted method was applied to estimate the causality and we further evaluated the pleiotropy by means of the weighted median and the MR-Egger regression method. Subgroup analysis according to different histotypes of lung cancer was also conducted. Results Through meta-analysis of 15 cohort studies involving 110,519 patients, we observed an increased risk of lung cancer among SLE patients (SIR =1.63, 95% CI, 1.39-1.90). Subgroup analysis suggested that female patients (SIR =1.28, 95% CI, 1.13-1.44) have a relatively higher lung cancer risk compared with male patients (SIR =1.15, 95% CI, 1.02-1.30). MR analysis indicated that genetically predisposed SLE was causally associated with an increased lung cancer risk (OR =1.045, 95% CI, 1.005-1.086, P=0.0276). When results were examined by histotypes, a causal relationship was observed between genetically predisposed SLE and squamous cell lung cancer (OR =1.065, 95% CI, 1.002-1.132, P=0.0429). Additionally, the results demonstrated the absence of the horizontal pleiotropy. Conclusions Both meta-analysis and MR analysis results suggested that SLE was associated with an increased lung cancer risk. Further investigations are warranted to investigate the etiology underlying the attribution of SLE to lung cancer.

We performed a meta‐analysis to determine cancer risks at multiple sites and their associations with tumor mutation burden (TMB), an index for immunogenicity, in heart or lung transplant recipients. A comprehensive search of PubMed, Web of Science, EMBASE, and Medline was conducted. Random effects models were used to calculate standardized incidence ratios (SIRs) versus the general population and to determine the risks of different cancers. Weighted linear regression (WLR) was used to analyze the associations between the SIRs and TMBs. (PROSPERO CRD42020159599). Data from 21 studies including 116,438 transplant recipients (51,173 heart transplant recipients and 65,265 lung transplant recipients) with a total follow‐up of 601,330.7 person‐years were analyzed. Compared with the general population, heart transplant recipients displayed a 3.13‐fold higher cancer risk [SIR: 3.13; 95% confidence interval (CI): 2.38–4.13; p, Our study demonstrated that both heart and lung transplant recipients displayed a higher risk of certain site‐specific cancers. These findings can provide individualized guidance for clinicians for detection of cancer among heart or lung transplantation recipients. In addition, we provided evidence that increased risks of post‐transplant cancers can be attributed to immunosuppression.

We aimed to elucidate the associations between aspirin use with risk of lung cancer, by conducting a meta-analysis and Mendelian randomization (MR) analyses from published Genome-Wide Association Studies (GWAS). Cohort studies, nested case–control studies, and randomized controlled trials (RCTs) investigating the impact of aspirin exposure and lung cancer incidence were included. Relative risk (RR) and its 95% confidence interval (CI) were evaluated in eligible studies. Subgroup analyses regarding gender, pathologic subtypes and smoking status were also executed. MR analyses were conducted using summary statistics obtained from two large consortia [Neale Lab and International Lung Cancer Consortium (ILCCO)] to assess the possible causal relationship of aspirin on lung cancer incidence. Sixteen eligible studies involving 1,522,687 patients were included. The combined RR of aspirin use for the incidence of lung cancer was 0.95 (95% confidence interval (CI) 0.91–0.98). In subgroup meta-analyses, a significant protective effect was observed in squamous cell lung cancer (RR = 0.80; 95% CI 0.65–0.98). In terms of gender, the chemopreventive value was only observed among men (RR = 0.87; 95% CI 0.77–0.97). The MR risk analysis suggested a causal effect of aspirin on lung cancer incidence, with evidence of a decreased risk for overall lung cancer (OR = 0.042; 95% CI 0.003–0.564) and squamous cell lung cancer (OR = 0.002; 95% CI 1.21 × 10–5–0.301). Our study provided evidence for a causal protective effect of aspirin on the risk of lung cancer incidence among men, particularly on the squamous cell lung cancer risk.

Objective Differences in efficacy of epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKI) have been observed between non-small cell lung cancer (NSCLC) patients with 19 exon deletion (19Del) and L858R mutation. We explored whether the total number or pattern of concomitant mutations of 19Del and L858R may explain their different sensitivities. Patients and methods This study contained the mutational profiles of EGFR-mutated NSCLC patients from two cohorts: Guangzhou (G1) and database (G2). Concomitant mutation status and EGFR-TKI response information were retrieved. Results A total of 403 patients covered 283 genes in the G1 and 803 patients with a different gene set in the G2 were included. Similar prevalence of total concomitant mutation number was observed in both G1 (19Del 32.48% vs L858R 30.45%; P=0.68) and G2 (19Del 74.9% vs L858R 73.2%; P=0.65) cohorts. Only HGF/c-Met pathway same more related to L858R mutation. EGFR-TKI response information was recorded for 134 patients in the G2 cohort. 19Del showed a higher objective response (OR) rate compared with L858R, regardless of concomitant mutations. Compared to patients with OR, non-OR patients had more concomitant mutations, both in 19Del (53.8% vs 83.3%; P=0.021) and L858R (51.4% vs 77.8%; P=0.029). In particular, total concomitant mutations (OR=0.27; P=0.03), sensitive EGFR mutations (OR=2.21; P=0.04), and T790M (OR=0.244; P=0.02) significantly affected the TKI response. Conclusion Concomitant mutations were widespread in 19Del and L858R and were associated with poorer OR to EGFR-TKIs. However, 19Del and L858R had similar numbers and patterns of concomitant mutations, which might not explain the different sensitivity to EGFR-TKI.

Few studies have investigated the relationship between vitiligo and risks of various types of cancers, especially those other than skin cancer. Conventional observational studies are susceptible to potential confounders and inverse causation. With a Mendelian randomization approach, we were able to evaluate the causality between vitiligo and different cancer risks. 37 vitiligo-related single-nucleotide polymorphisms identified by the published genome-wide association studies were used as instrumental variables in our study. Summary data of individual-level genetic information were obtained from corresponding studies and cancer consortia. A total of 246,706 cases and 1,021,154 controls were included. The inverse variance-weighted method was applied to estimate the causation between vitiligo and different cancers. The results revealed that vitiligo patients were at lower risks of lung cancer [odds ratio (OR) 0.9513; 95% confidence interval (CI) 0.9174–0.9864; p = 0.0070], breast cancer (OR 0.9827; 95% CI 0.9659–0.9997; p = 0.0468), ovarian cancer (OR 0.9474; 95% CI 0.9271–0.9682; p

Background This Bayesian network meta-analysis (NMA) was conducted to compare efficacy and safety of programmed death 1/ligand 1 (PD-1/L1) inhibitors in previous untreated advanced non-small cell lung cancer (NSCLC) patients. Methods Eligible studies evaluating first-line anti-PD-1/L1 based regimens in advanced NSCLC patients were included. Overall survival (OS), progression free survival (PFS), objective response rate (ORR), as well as treatment-related severe adverse events (tr-SAE) were synthesized within the Bayesian framework. Subgroup analysis was conducted according to PD-L1 expression. Results Twelve studies including 7,490 patients and 9 treatment strategies were enrolled in this study. For the PD-L1 expression non-selective patients, all chemo-immunotherapies were significantly better than chemotherapy for prolonging OS and PFS, except for caremlizumab plus chemotherapy (HR =0.72) failed to show advantages for OS. In addition, pembrolizumab plus chemotherapy showed better PFS than nivolumab plus ipilimumab (HR =0.66). In PD-L1 ≥50% patients, all immunotherapy was better than chemotherapy for OS, except for nivolumab (HR =0.83) and nivolumab plus ipilimumab (HR =0.70). For PFS, pembrolizumab plus chemotherapy (HR =0.39), atezolizumab plus chemotherapy (HR =0.47) and pembrolizumab (HR =0.67) were significantly better than chemotherapy. In PD-L1 1-49% patients, pembrolizumab plus chemotherapy (HR =0.52) and atezolizumab plus chemotherapy (HR =0.70) were better than chemotherapy for PFS. In the PD-L1 positive or negative group, all included corresponding regimens were equivalence according to OS and PFS. Conclusions We conducted a systematic comparison of first line immunotherapy for advanced NSCLC. Chemo-immunotherapies were better than chemotherapy and mono-immunotherapies in most patients. Pembrolizumab might have better efficacy than other PD-1/L1 inhibitors.

Background Lymph node (LN) metastasis status is the most important prognostic factor and determines treatment strategy. Methylation alteration is an optimal candidate to trace the signal from early stage tumors due to its early existence, multiple loci and stability in blood. We built a diagnostic tool to screen and identify a set of plasma methylation markers in early stage occult LN metastasis. Methods High-throughput targeted methylation sequencing was performed on tissue and matched plasma samples from a cohort of 119 non-small cell lung cancer (NSCLC) patients with a primary lesion of less than 3.0 cm in diameter. The methylation profiles were compared between patients with and without occult LN metastases. We carried out a set of machine-learning analyses on our discovery cohort to evaluate the utility of cell free DNA methylation profiles in early detection of LN metastasis. Two preliminary prognostic models predictive of LN metastasis were built by random forest with differentially methylated markers shared by plasma and tissue samples and markers present either in plasma or tissue samples respectively. The performance of these models was then evaluated using receiver operating characteristic (ROC) statistics derived from ten-fold cross validation repeated ten times. Results Within this cohort, 27 cases (27/119, 22.7%) were found to have occult LN metastases found by pathological examination. Compared with those without metastases, 878 and 52 genes were differentially methylated in terms of tissue (MTA3, MIR548H4, HIST3H2A, etc.) and plasma (CIRBP, CHGB, FCHO1, etc.) respectively. 19 of these genes (ICAM1, EPH4, COCH, etc.) were overlapped. We selected 22 pairs of cases with or without occult LN metastasis by matching gender, age, smoking history and tumor histology to build and test the plasma model. The AUC of the preliminary prediction model using markers shared by plasma and tissue samples and markers present either in plasma or tissue samples is 88.6% (95% CI, 87.8-89.4%) and 74.9% (95% CI, 72.2-77.6%) respectively. Conclusions We identified a set of specific plasma methylation markers for early occult LN metastasis of NSCLC and established a preliminary non-invasive blood diagnostic tool.

BackgroundTertiary lymphoid structure (TLS) is an organized infiltration of immune cells, showing features of germinal center (GC) commonly seen in secondary lymphoid organs. However, its relationship with tumor-draining lymph nodes (TDLNs) has not been studied and we hypothesized that TDLN may influence maturation of intratumoral TLS in non-small cell lung cancer (NSCLC).MethodsTissue slides of 616 patients that had undergone surgeries were examined. Cox proportional hazard regression model was used to assess risk factors of patients’ survival, and logistic regression model was used for their relationship with TLS. Single-cell RNA-sequencing (scRNA-seq) was employed to explore transcriptomic features of TDLNs. Immunohistochemistry, multiplex immunofluorescence and flow cytometry were performed to analyze cellular composition. Cellular components of NSCLC samples from The Cancer Genome Atlas database were inferred with Microenvironment Cell Populations-counter (MCP-counter) method. Murine NSCLC models were used to dissect underlying mechanisms for relationship between TDLN and TLS maturation.ResultsWhile GC+TLS was associated with better prognosis, GC−TLS was not. TDLN metastasis reduced the prognostic relevance of TLS, and was associated with less GC formation. Primary tumor sites showed reduced B cell infiltration in TDLN-positive patients, and scRNA-seq revealed diminished memory B cell formation in tumor-invaded TDLNs, together with an emphasis on weakened interferon (IFN)-γ response. Murine NSCLC models revealed that IFN-γ signaling is involved in memory B cell differentiation in TDLNs and GC formation in primary tumors.ConclusionsOur research emphasizes the influence of TDLN on intratumoral TLS maturation and suggests a role of memory B cells and IFN-γ signaling in this communication.

Background:Leisure sedentary behaviors (LSB) are widespread, and observational studies have provided emerging evidence that LSB play a role in the development of lung cancer (LC). However, the causal inference between LSB and LC remains unknown.Methods: We utilized univariable (UVMR) and multivariable two-sample Mendelian randomization (MVMR) analysis to disentangle the effects of LSB on the risk of LC. MR analysis was conducted with genetic variants from genome-wide association studies of LSB (408,815 persons from UK Biobank), containing 152 single-nucleotide polymorphisms (SNPs) for television (TV) watching, 37 SNPs for computer use, and four SNPs for driving, and LC from the International Lung Cancer Consortium (11,348 cases and 15,861 controls). Multiple sensitivity analyses were further performed to verify the causality.Results: UVMR demonstrated that genetically predisposed 1.5-h increase in LSB spent on watching TV increased the odds of LC by 90% [odds ratio (OR), 1.90; 95% confidence interval (CI), 1.44–2.50; p < 0.001]. Similar trends were observed for squamous cell lung cancer (OR, 1.97; 95%CI, 1.31–2.94; p = 0.0010) and lung adenocarcinoma (OR, 1.64; 95%CI 1.12–2.39; p = 0.0110). The causal effects remained significant after adjusting for education (OR, 1.97; 95%CI, 1.44–2.68; p < 0.001) and body mass index (OR, 1.86; 95%CI, 1.36–2.54; p < 0.001) through MVMR approach. No association was found between prolonged LSB spent on computer use and driving and LC risk. Genetically predisposed prolonged LSB was additionally correlated with smoking (OR, 1.557; 95%CI, 1.287–1.884; p < 0.001) and alcohol consumption (OR, 1.010; 95%CI, 1.004–1.016; p = 0.0016). Consistency of results across complementary sensitivity MR methods further strengthened the causality.Conclusion: Robust evidence was demonstrated for an independent, causal effect of LSB spent on watching TV in increasing the risk of LC. Further work is necessary to investigate the potential mechanisms.

This study attempted to profile the tumor immune microenvironment (TIME) of non-small cell lung cancer (NSCLC) by multiplex immunofluorescence of 681 NSCLC cases. The number, density, and proportion of 26 types of immune cells in tumor nest and tumor stroma were evaluated, revealing some close interactions particularly between intrastromal neutrophils and intratumoral regulatory T cells (Treg) (r2 = 0.439, P < 0.001), intrastromal CD4+CD38+ T cells and CD20-positive B cells (r2 = 0.539, P < 0.001), and intratumoral CD8-positive T cells and M2 macrophages expressing PD-L1 (r2 = 0.339, P < 0.001). Three immune subtypes correlated with distinct immune characteristics were identified using the unsupervised consensus clustering approach. The immune-activated subtype had the longest disease-free survival (DFS) and demonstrated the highest infiltration of CD4-positive T cells, CD8-positive T cells, and CD20-positive B cells. The immune-defected subtype was rich in cancer stem cells and macrophages, and these patients had the worst prognosis. The immune-exempted subtype had the highest levels of neutrophils and Tregs. Intratumoral CD68-positive macrophages, M1 macrophages, and intrastromal CD4+ cells, CD4+FOXP3- cells, CD8+ cells, and PD-L1+ cells were further found to be the most robust prognostic biomarkers for DFS, which were used to construct and validate the immune-related risk score for risk stratification (high vs. median vs. low) and the prediction of 5-year DFS rates (23.2% vs. 37.9% vs. 43.1%, P < 0.001). In conclusion, the intricate and intrinsic structure of TIME in NSCLC was demonstrated, showing potency in subtyping and prognostication.

ImportanceA considerable number of clinical trials of neoadjuvant immunotherapy for patients with resectable esophageal cancer are emerging. However, systematic evaluations of these studies are lacking.ObjectiveTo provide state-of-the-art evidence and normative theoretical support for neoadjuvant immunotherapy for locally advanced resectable esophageal cancer.Data SourcesPubMed, Embase, Cochrane Library, and ClinicalTrials.gov databases were searched for relevant original articles and conference proceedings that were published in English through April 1, 2022.Study SelectionPublished phase 2 or 3 clinical trials that included patients with resectable stage I to IV esophageal cancer who received immune checkpoint inhibitors (ICIs) before surgery as monotherapy or in combination with other therapies.Data Extraction and SynthesisThe Preferred Reporting Items for Systematic Reviews and Meta-analyses and the Meta-analysis of Observational Studies in Epidemiology guidelines for meta-analysis were followed to extract data. A random-effects model was adopted if the heterogeneity was significant (I2 statistic >50%); otherwise, the common-effects model was used. Data analyses were conducted from April 2 to 8, 2022.Main Outcomes and MeasuresPathological complete response (pCR) rate and major pathological response (MPR) rate were considered to be the primary outcomes calculated for the clinical outcomes of neoadjuvant immunotherapy. Incidence of treatment-related severe adverse events was set as the major measure for the safety outcome. The rate of R0 surgical resection was summarized. Subgroup analyses were conducted according to histologic subtype and ICI types.ResultsA total of 27 clinical trials with 815 patients were included. Pooled rates were 31.4% (95% CI, 27.6%-35.3%) for pCR and 48.9% (95% CI, 42.0-55.9%) for MCR in patients with esophageal cancer. In terms of safety, the pooled incidence of treatment-related severe adverse events was 26.9% (95% CI, 16.7%-38.3%). Most patients achieved R0 surgical resection (98.6%; 95% CI, 97.1%-99.6%). Regarding histologic subtypes, the pooled pCR rates were 32.4% (95% CI, 28.2%-36.8%) in esophageal squamous cell carcinoma and 25.2% (95% CI, 16.3%-35.1%) in esophageal adenocarcinoma. The pooled MPR rate was 49.4% (95% CI, 42.1%-56.7%) in esophageal squamous cell carcinoma.Conclusions and RelevanceThis study found that neoadjuvant immunotherapy with chemotherapy had promising clinical and safety outcomes for patients with resectable esophageal cancer. Randomized clinical trials with long-term follow-up are warranted to validate the findings and benefits of ICIs.

BACKGROUND: Several randomized controlled trials have suggested that adjuvant epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) were associated with prolonged disease-free survival (DFS) in EGFR-mutated NSCLC patients after radical resection, comparing with chemotherapy or placebo. We aimed to compare the effectiveness of different first-generation EGFR-TKIs as adjuvant treatment in real-world setting. METHODS: Early-stage EGFR mutated NSCLC patients who underwent radical resection and treated with first-generation EGFR-TKIs (gefitinib, erlotinib, icotinib) as adjuvant therapy between Feb 2010 and Jan 2019 were retrieved from a prospectively-maintained database in our center. The primary endpoint was DFS in stage II/III (TNM 8th) patients with exploratory endpoint regarding DFS in stage I patients. Sensitivity analyses were based on propensity score matched (PSM) cohorts. Treatment failure patterns among different TKIs were also compared. RESULTS: Of 588 eligible patients, 198 patients (33.7%) received gefitinib, 106 patients (17.9%) received erlotinib, and 284 patients (48.2%) received icotinib. The median DFS of stage II/III patients in the gefitinib, erlotinib and icotinib group were 36.1 months (95% CI, 23.9–49.4), 42.8 months (95% CI, 29.6–97.8), and 32.5 months (95% CI, 23.9–49.4), respectively, with no significant difference (log-rank test P=0.22). There was also no significant difference in DFS among stage I patients receiving different TKIs (P=0.12). PSM adjustments and multivariate analyses adjusting for other confounders revealed similar results. In addition, there were no significant differences in treatment failure pattens in different EGFR-TKI arms, especially in terms of brain metastases (6.1% in gefitinb, 7.5% in erlotinib, 3.9% in icotinib) and bone metastases (8.6% in gefitinb, 9.4% in erlotinib, 7.0% in icotinib). CONCLUSIONS: This first and largest real-world study showed that gefitinib, erlotinib, and icotinib demonstrated comparable clinical effectiveness as adjuvant therapy for patients with early-stage EGFR mutated NSCLC.

Background The generation of subclonal (low-frequency) mutations is driven by tumor mutations and the relationship between the heterogeneity of tumor mutation abundance and non-small cell lung cancer (NSCLC) remains unknown. We investigate the role of allele frequency heterogeneity (AFH) defined by circulating tumor DNA (ctDNA) profiling in predicting prognosis in advanced NSCLC patients. Methods Publicly available data set of POPLAR (N=211) and OAK (N=642) trials were used for analyzing. A low ratio of allele frequency (AF) of a mutation to the maximum-somatic-allele-frequency (MSAF) was used to define the presence of AFH. The prognostic value of AF/MSAF ratio that was below a defined cutoff point in overall survival (OS) was evaluated using Cox-proportional hazards regression; and the structural break point was determined by LOESS regression and Chow test. The derived AFH was also explored in an independent cohort (N=259) of advanced NSCLC receiving first-line EGFR-TKIs from the First Affiliated Hospital of Guangzhou Medical University. Results In the POPLAR and OAK cohort, low AF/MSAF ratio was found to be significantly associated with unfavorable OS in univariate and multivariate analysis. The structural break point analysis demonstrated that AF/MSAF

To investigate the incidence and distribution of lymph node metastasis in patients with different gene mutations among pathological T1 non-small-cell lung cancers (NSCLC).NSCLC cases resected in our institution between 2016 and 2018 were included. Driver mutation testing was performed in all resected tumor tissues. These patients were grouped by the type of gene mutations. On the basis of protein that mutant-genes encoded involved in the molecular pathway, the genotypes were further classified into four distinct groups: upstream receptor mutant protein (EGFR, HER2 and MET); downstream regulator mutant protein (KRAS and BRAF); fusion mutant protein (ROS1, ALK and RET) and the wild type group. The incidence of lymph node metastasis was compared among different groups.Of the 1052 patients enrolled, the frequency of positive mutations was 68.0%. The incidence of lymph node metastasis were as follows: wild type (19.3%), ROS1 (72.8%), BRAF (55.5%), ALK (44.7%), HER2 (40%), RET (23.1%), KRAS (15.3%), EGFR (15.3%) and MET mutation (0%) (P 0.001). The incidence of lymph node metastasis was significantly higher in fusion mutant protein group (45.1%) compared with others (wild type 19.3%, downstream regulator mutant protein 19.1%, upstream receptor mutant protein 15.3%, all P 0.001). Patients with fusion genes also showed higher proportion of vascular invasion and positive lymph node ratio of greater than 0.33 compared to others.Different genotypes of NSCLC have different propensity to develop lymph node metastasis. Cases of fusion gene mutations had a higher risk and burden of lymph node metastasis than other genotypes, which may indicate that more intensive treatment or surveillance strategies should be applied for these patients.

We comprehensively compared the therapeutic effects and safety of PD-1/L1 antibodies (I), chemotherapy (C) or their combination (I + C) as first-line treatments for advanced NSCLC. Online databases were searched to identify RCTs. Survival outcomes and safety events were pooled by indirect treatment comparison. Main subgroup analyses were conducted according to PD-L1 expression. A total of 11 RCTs involving 6,731 patients were included. Overall, PD-1/L1 inhibitors showed no difference to chemotherapy in PFS (HR 0.90, 0.65-1.24) and OS (HR 0.84, 0.64-1.09), while I + C was superior to chemotherapy both in PFS (HR 0.64, 0.58-0.71) and OS (HR 0.74, 0.62-0.89). I + C also showed advantages over PD-1/L1 in PFS (HR 0.71, 0.51-0.99) but not OS (HR 0.88, 0.64-1.22). In the PD-L1 < 1% subgroup, I + C was beneficial both in OS (HR 0.78, 0.67-0.90) and PFS (HR 0.72, 0.65-0.80) than chemotherapy. In PD-L1 ≥ 50% population, PD-1/L1 had longer OS than chemotherapy (HR 0.71, 0.60-0.84); I + C also had longer OS (HR 0.61, 0.49-0.77) and PFS (HR 0.41,0.34-0.49) than chemotherapy. In indirect analysis (PD-L1 ≥ 50%), I + C was superior to PD-1/L1 in terms of PFS (HR 0.54, 0.35-0.82), but not OS (HR 0.86, 0.65-1.14). Both treatment-related and immune-mediated adverse events occurred most frequently in the combination therapy group. We suggest that a combination regimen is preferable as first-line treatment for NSCLC patients with different PD-L1 expression, in the meanwhile, in cautious of side effects.

BACKGROUND: The use of tyrosine kinase inhibitors (TKIs) is associated with incident creatine kinase (CK) elevation in the treatment of advanced non-small cell lung cancer (NSCLC) patients. However, whether higher CK levels are associated with better antitumor responses or survival remains to be explored. We intend to investigate the clinical correlation between CK levels and TKI efficacy in advanced NSCLC. METHODS: In this retrospective study, we enrolled 135 patients with stage IV NSCLC receiving TKI-based therapy in our center between June 2012 to July 2020. CK levels were monitored from the initiation of TKI medication and during the administration period. An X-tile analysis provided the optimal cutoff point for higher baseline CK. Patients were identified and grouped according to their baseline CK level and fold changes during TKI therapy. The primary endpoints included progression-free survival (PFS) and overall survival (OS), and the objective response rate (ORR) was calculated as the secondary endpoint. RESULTS: Among the 135 patients included in our study, those with higher baseline CK levels (≥70 U/L) had favorable PFS (15.2 vs. 8.8 months; P=0.028), while patients with significantly elevated CK (the highest CK value/baseline CK value ≥2 times) appeared to gain better PFS (14.6 vs. 10.0 months; P=0.139). The overall ORR was 67.4%. Patients with higher baseline CK levels had numerically higher ORR (74.6% vs. 60.3%; P=0.076). Similarly, patients with significant CK elevation had a superior 4-month PFS rate (77.6% vs. 59.7%; P=0.029). Results from the subgroup analyses were identical to the overall ones. For patients with higher baseline CK levels, those experiencing significant CK elevation had prolonged PFS (17.2 vs. 14.2 months; P=0.038); a same trend was obtained from the lower baseline CK group (

BackgroundTo increase locoregional and systemic tumor control, a portion of patients with stage III (N2, N3) non-small cell lung cancer (NSCLC) received pulmonary resection after immunochemotherapy in our center. Herein, we assessed the real-world downstage (T, N stage) effectiveness of immunochemotherapy as induction treatment and explored the proper cycle number for stage III (N2, N3) NSCLC.MethodsBiopsy confirmed stage III (N2, N3) NSCLC patients who underwent immunochemotherapy between January 1st, 2018, to August 30th, 2019, were identified. Tumor radiologic regression, lymph node down-staging, and pathological response information were collected.ResultsIn total, 16 patients with stage IIIA NSCLC, 30 with stage IIIB NSCLC, 9 with stage IIIC NSCLC (N2, N3 metastasis) were included. After immunochemotherapy, 25/55 (45.5%) patients achieved an objective response. Ultimately, 33/55 (60.0%) patients received lobectomy plus systemic lymphadenectomy, of whom 18/33 (54.5%) obtained major pathological response (MPR) of the primary lesion, and 24 (72.7%) had pathological-confirmed lymph node downstage (N2-3 to N0-1). Notably, four patients had MPR of the primary lesion but without lymph node downstage. At the time of data cutoff (December 30th, 2020), the median follow-up duration was 9.2 months (IQR 8.0-11.7), 24/33 (72.7%) of patients that had pulmonary resection were progression-free, with 30 of them alive. Binary logistics analysis showed that 3-4 induction cycles were favorably associated with MPR than 1-2 cycles (p = 0.017).ConclusionsImmunochemotherapy as induction treatment showed encouraging MPR and lymph nodes down-staging rates in stage III (N2, N3) NSCLC in this study. Prolonged (3-4) cycles of immunochemotherapy were recommended for a better pathological response.

ObjectivesThis study aimed to establish a noninvasive radiomics model based on computed tomography (CT), with favorable sensitivity and specificity to predict EGFR mutation status in GGO-featured lung adenocarcinoma that subsequently guiding the administration of targeted therapy.MethodClinical-pathological information and preoperative CT-images of 636 lung adenocarcinoma patients (464, 100, and 72 in the training, internal, and external validation sets, respectively) that underwent GGO lesions resection were included. A total of 1476 radiomic features were extracted with gradient boosting decision tree (GBDT).ResultsThe established radiomics model containing 252 selected features showed an encouraging discrimination performance of EGFR mutation status (mutant or wild-type), and the predictive ability was superior to that of the clinical model (AUC: 0.901 vs. 0.674, 0.813 vs. 0.730, and 0.801 vs. 0.746 the training, internal, and external validation sets, respectively). The combined radiomics plus clinical model showed no additional benefit over the radiomics model in predicting EGFR status (AUC: 0.909 vs. 0.901, 0.803 vs. 0.813, 0.808 vs. 0.801, respectively, in three cohorts). Uniquely, this model was validated in a cohort of lung adenocarcinoma patients who undertaken adjuvant EGFR-TKIs and harbored unresected GGOs, leading to a significantly improved potency of EGFR-TKIs (response rate: 33.9% vs. 62.5%, P =0.04; before- and after-prediction, respectively).ConclusionThis presented radiomics model can be served as a noninvasive and time-saving approach for predicting the EGFR mutation status in lung adenocarcinoma presenting as GGO.Key pointsWe developed a GGO-specific radiomics model containing 252 radiomics features for EGFR mutation status differentiation.An AUC of 0.813 and 0.801 in the internal and external validation cohort, respectively, were achieved.The radiomics model was utilized in clinical translation in an adjuvant EGFR-TKIs cohort with unresected GGOs. A significant improvement in the potency of EGFR-TKIs was achieved (response rate: 33.9% vs. 62.5%, P =0.04; before- and after-prediction).

BACKGROUND: Current clinical management of patients with pulmonary nodules involves either repeated low-dose CT (LDCT)/CT scans or invasive procedures, yet causes significant patient misclassification. An accurate noninvasive test is needed to identify malignant nodules and reduce unnecessary invasive tests. METHOD: We developed a diagnostic model based on targeted DNA methylation sequencing of 389 pulmonary nodule patients’ plasma samples and then validation in 140 plasma samples independently. We tested the model in different stages and subtypes of pulmonary nodules. RESULTS: A 100-feature model was developed and validated for pulmonary nodule diagnosis; the model achieved a receiver operating characteristic curve–AUC (ROC-AUC) of 0.843 on 140 independent validation samples, with an accuracy of 0.800. The performance was well maintained in (a) a 6 to 20 mm size subgroup (n = 100), with a sensitivity of 1.000 and adjusted negative predictive value (NPV) of 1.000 at 10% prevalence; (b) stage I malignancy (n = 90), with a sensitivity of 0.971; (c) different nodule types: solid nodules (n = 78) with a sensitivity of 1.000 and adjusted NPV of 1.000, part-solid nodules (n = 75) with a sensitivity of 0.947 and adjusted NPV of 0.983, and ground-glass nodules (n = 67) with a sensitivity of 0.964 and adjusted NPV of 0.989 at 10% prevalence. This methylation test, called PulmoSeek, outperformed PET-CT and 2 clinical prediction models (Mayo Clinic and Veterans Affairs) in discriminating malignant pulmonary nodules from benign ones. CONCLUSION: This study suggests that the blood-based DNA methylation model may provide a better test for classifying pulmonary nodules, which could help facilitate the accurate diagnosis of early stage lung cancer from pulmonary nodule patients and guide clinical decisions. FUNDING: The National Key Research and Development Program of China; Science and Technology Planning Project of Guangdong Province; The National Natural Science Foundation of China National.

BACKGROUND: An increasing number and proportion of younger lung cancer patients have been observed worldwide, raising concerns on the optimal age to begin screening. This study aimed to investigate the association between age and findings in initial CT scans. METHODS: We searched for low-dose CT screening cohorts from electronic databases. Single-arm syntheses weighted by sample size were performed to calculate the detection rates of pulmonary nodules, lung cancers (all stages and stage I), and the proportion of stage I diseases in lung cancers. In addition, we included patients who underwent chest CT in our center as a supplementary cohort. The correlation between the detection rates and age was evaluated by the Pearson Correlation Coefficient. RESULTS: A total of 37 studies involving 163,442 participants were included. We found the detection rates of pulmonary nodules and lung cancers increased with age. However, the proportion of stage I diseases in lung cancers declined with increased starting age and was significantly higher in the 40-year group than in other groups (40 vs. 45, 50, 55, P

Immunotherapy has been proved to be a promising candidate for advanced non-small cell lung cancer (NSCLC). Despite MET mutations are regarded as an independent factor of programmed death ligand 1 (PD-L1) high expression, the efficacy of immune checkpoint inhibitors (ICIs) across NSCLC harboring Mesenchymal-epithelial transition factor exon 14 skipping alteration (METex14) is still uncleared. Moreover, when the resistance of PD-1 antibody occurs, the questions of how to interpret the resistance and how to overcome the resistance are worth exploring. We report a case of NSCLC with METex14 developed a right femoral metastasis after responding well to neoadjuvant immunotherapy, a successful lobectomy, and adjuvant immunotherapy. The subsequent attempts of MET targeted inhibitor, concurrent chemoradiotherapy, and notably programmed cell death protein 1 (PD-1) antibody plus vascular endothelial growth factor receptor tyrosine kinase inhibitor (VEGFR-TKI) failed to prevent disease progression. However, a regimen of anti-PD-1 plus anti-cytotoxic t-lymphocyte associated protein 4 (CTLA-4) reversed the progression to a complete response. This case shows that METex14 had a significant response to immunotherapy, which would be especially beneficial for those who developed targeted therapy resistance. Importantly, this is the first case reporting that salvage CTLA-4 antibody and PD-1 antibody could reverse the progression in NSCLC harboring METex14 when the anti-PD-1 resistance occurred.

Background The relationship of multiple sclerosis (MS) with lung cancer is under debate. Conventional observational studies have reported conflicting findings, but such studies are susceptible to confounding and reverse causation. With a Mendelian Randomization approach, we were able to evaluate the causality between MS and lung cancer. Methods According to published genome-wide association studies (GWASs), we obtained 35 MS-related single-nucleotide polymorphisms, which were used as instrumental variables in our study. Summary data of individual-level genetic information were obtained from the International Lung Cancer Consortium (ILCCO), with a total of 15,861 controls and 11,348 cases; the latter is composed of patients with lung adenocarcinoma and squamous cell lung cancer. The inverse variance-weighted method was applied to estimate the causation between MS and lung cancer. To further evaluate the pleiotropy, the MR-Egger and Weighted median methods were implemented. Results The results of MR analysis suggested a causal effect of MS on lung cancer incidence, with evidence of an increased risk for overall lung cancer [odds ratio (OR): 1.0648; 95% confidence interval (CI): 1.0163–1.1156; p = 0.0082]. However, subgroup analyses showed no significant causal relationships between MS and lung adenocarcinoma (OR = 1.0716; 95% CI 0.9840–1.1671, p = 0.1119) and squamous cell lung cancer (OR = 1.0284; 95% CI 0.9575–1.1045, p = 0.4424). In addition, no pleiotropy was found in our study. Conclusion Our study indicated that MS is a causal risk factor in the development of lung cancer. Further work is needed to elucidate the potential mechanisms.

BACKGROUND: A survival benefit was observed in metastatic non-small cell lung cancer (NSCLC) patients that underwent surgical resection of the primary tumor. We developed a model testing the hypothesis that only certain stage IV patients would benefit from surgery and the potential benefit would vary based on primary tumor characteristics. METHODS: Patients with stage IV NSCLC were identified in the Surveillance, Epidemiology and End Results (SEER) database and then divided into surgery and non-surgery groups. A 1:1 Propensity score matching (PSM) was performed to balance characters. We assumed that patients received primary tumor surgery that lived longer than median cancer specific survival (CSS) time of those who didn’t underwent surgery could benefit from the operation. Multivariable Cox model was used to explore the independent factors of CSS in two groups (beneficial and non-beneficial group). Logistic regression was used to build a nomogram based on the significant predictive factors. RESULTS: A total of 30,342 patients with stage IV NSCLC were identified; 8.03% (2,436) received primary tumor surgery. After PSM, surgical intervention was independently correlated with longer median CSS time (19 vs. 9 months, P

Background: The response of cancer patients to immune checkpoint inhibitors (ICIs) vary in success. CD8+ tumor infiltrating lymphocytes (TILs) play a key role in killing cancer cells. This study aimed to evaluate the prognostic role of CD8+ TILs in cancer patients treat with immune checkpoint inhibitors (ICIs).Methods: We systematically searched all publications from PubMed, EMBASE, and Cochrane Library until 31 Jan 2021 without any restriction of language or article types. Studies assessing high versus low CD8+ TILs in predicting survival of various cancer patients were included. The outcomes included overall survival (OS), progression-free survival (PFS), objective response rate (ORR). Findings: A total of 32 studies consisting of 2546 cancer patients were included . The result showed that high CD8+ TILs was significantly associated with better OS (HR, 0.52; 95% confidence interval: 0.41-0.67; P < 0.001), PFS (HR, 0.54; 95% confidence interval: 0.42-0.70; P < 0.001) and ORR (OR = 3.88; 95% confidence interval: 2.59-5.82;P < 0.001) in patients treated with ICIs. Subgroup analyses suggested that patients with high CD8+ TILs had better clinical benefit regardless of different treatment (ICI monotherapy, or combination therapy), cancer types (NSCLC, melanoma and other), and CD8+ T cells location (intratumor, stroma, and invasive margin). Higher baseline circulating CD8+ T cells from peripheral blood did not contribute to improved OS (HR, 0.93; 95% confidence interval: 0.67-1.29; P = 0.67) and PFS (HR, 0.89; 95% confidence interval: 0.60-1.32;P = 0.56) when compared with low baseline. Interpretation: The result showed that high intratumoral, stromal, or invasive marginal, but not circulating CD8+ TILs can predict treatment outcomes in patients with ICIs therapy across different cancer , in either single-agent ICIs or combination with other therapies. Funding: China National Science Foundation (Grant No. 82022048, 81871893), Key Project of Guangzhou Scentific Research Project (Grant No. 201804020030), High-level university construction project of Guangzhou medical university (Grant No. 20182737, 201721007, 201715907, 2017160107); National key R & D Program (Grant No. 2017YFC0907903 & 2017YFC0112704) and the Guangdong high level hospital construction "reaching peak" plan. Declaration of Interest: No potential conflicts of interest were disclosed.

Since little consensus has been reached on whether milder reduction in forced expiratory volume in 1 s (FEV1) increases lung cancer incidence, we conducted a meta-analysis and performed Mendelian randomization (MR) analysis to explore the association and causal relationship between FEV1 and lung cancer incidence. We conducted a comprehensive search from PubMed, Medline, EMBASE, and Cochrane Library databases as of February 2020. MR analysis was performed using summary data obtained from two large consortia [International Lung Cancer Consortium (ILCCO) and Neale Lab] to assess the possible causality between FEV1 and lung cancer risk. Eight studies involving 88,743 cases were included. The incidence of lung cancer increased with decreasing FEV1.The combined odds ratio (OR) of decreased FEV1 for lung cancer incidence was 1.91 [95% confidence interval (CI) 1.67–2.19; P 100% of predicted), the OR was 3.06 (95% CI 2.20–4.24; P

Objective Observational studies suggest that rheumatoid arthritis (RA) may be associated with lung cancer (LC) risk, while the evidence is inconsistent. We conducted a meta-analysis and a Mendelian randomization study to investigate the association and causality between RA and the LC risk. Methods We conducted a systematic search of cohort studies and performed a meta-analysis (PROSPERO ID CRD42020159082) to calculate the relative risks (RRs) and their 95% confidence intervals (95%CIs). Subgroup analyses based on sex and initiation year of follow-up were carried out. E‐values of each study were calculated to evaluate if existing studies were sensitive to unmeasured confounding. Furthermore, we investigated the correlation between genetically predisposed RA and LC risk using summary statistics from the International Lung Cancer Consortium (11,348 cases and 15,861 controls) and 90 RA-related single nucleotide polymorphisms from European and East Asian descent as instrumental variables. A two-sample Mendelian randomization (MR) analysis was performed to detect the findings based on LC and histological subtypes. Sensitivity analyses were performed to test the robustness of our findings. Results In the meta-analysis of 11 cohort studies involving 183,888 patients, an increased risk of LC was observed among RA patients (RR = 1.44, 95%CI = 1.31–1.57). Subgroup analyses suggested that male patients have a relatively higher LC risk than female patients, and an increased incidence of LC in RA patients was found from 1950 to 2010. Conversely, in the MR analysis, we found that genetically predisposed RA was associated with a decreased risk of LC overall, while neither causally associated with the risk of lung adenocarcinoma nor squamous cell lung cancer. Nevertheless, genetically predisposed RA was associated with a decreased LC risk among the East Asian population, but not in Europeans. These results were robust against extensive sensitivity analyses. Conclusion Our meta-analysis suggested that although RA was associated with a relatively higher LC risk, the causal relationship between genetically predisposed RA and LC risk was not supported by the MR study. Further studies are warranted to elucidate the possible association between RA and the risk of LC, as well as its underlying mechanisms.