The Optimal First-Line Therapy for Extensive-Stage Small-Cell Lung Cancer Based on Liver Metastasis Status: A Network Meta-Analysis and Systematic Review.

PURPOSE: To compare the efficacy of first-line regimens based on programmed cell death (or ligand) [PD-(L)1] blockade in extensive-stage small-cell lung cancer (ES-SCLC) patients with or without liver metastases (LM), and to identify optimal treatment strategies. METHODS: Network meta-analysis of randomized controlled trials (RCTs) comparing chemo-immunotherapy (CIT) and chemotherapy (CT) in ES-SCLC patients stratified by LM. Overall survival (OS) and progression-free survival (PFS) were evaluated using hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Seven RCTs involving 3658 ES-SCLC patients (1243 with LM, 2415 without LM) were analyzed. For patients with LM, the combination therapies of anti-PD-1 + CT (HR, 0.67; 95% CI, 0.54%-0.82%; p < 0.001) and anti-PD-L1 + CT + anti-angiogenesis (HR, 0.84; 95% CI, 0.71%-0.99%; p = 0.042) demonstrated superior efficacy in prolonging OS compared to CT alone. The anti-PD-1 + CT regimen had the highest cumulative probability of 91.6% for extending OS in patients with LM. For patients without LM, all CIT regimens resulted in improved OS compared to CT alone, with the regimen of anti-angiogenesis + anti-PD-L1 + CT ranking first and having the highest cumulative probability of 95.5% for prolonging OS. CONCLUSIONS: CIT is effective for ES-SCLC patients regardless of LM status. For patients with LM, PD-1 blockade combined with CT is the best option. For patients without LM, the most beneficial regimen is the combination of anti-angiogenesis, PD-L1 blockade, and CT.

A Meta-Analysis of Efficacy and Safety of Neoadjuvant Immunotherapy Plus Chemotherapy for Resectable Non-Small Cell Lung Cancer.

INTRODUCTION: Neoadjuvant immunotherapy plus chemotherapy has ushered in a new era for surgical treatment for patients with NSCLC. This study aimed to examine the efficacy and safety of neoadjuvant immunotherapy plus chemotherapy in NSCLC. METHODS: Eligible studies were identified from PubMed, Embase, Web of Science, Cochrane Library, ClinicalTrials.gov, and conference meeting abstracts. The endpoints included major pathological response (MPR), complete pathological response (pCR), surgical resection rate, R0 resection, treatment-related adverse events (TRAEs), severe adverse events (SAEs), surgical complications, treatment discontinuation, surgical delay, and treatment-related death. Stata 18 software was used for statistical analysis, and p < 0.05 was considered statistically significant. Twenty-two studies including a total of 1108 patients were eligible for this study. RESULTS: Among the patients who received neoadjuvant immunotherapy plus chemotherapy, the pooled MPR rate was 51% (95% CI [0.44-0.58]), and pCR rate was 34% (95% CI [0.28-0.40]). The pooled surgical resection rate was 85% (95% CI [0.81-0.89]), and the pooled R0 rate was 94% (95% CI [0.91-0.96]). The pooled rate of pathological tumor downstaging was 84% (95% CI [0.79-0.88]), and the pooled rate of pathological nodal downstaging was 38% (95% CI [0.23-0.57]). During the treatment of neoadjuvant immunotherapy plus chemotherapy with or without surgery, the pooled rate of TRAEs (any grade) was 84% (95% CI [0.73-0.91]), and the pooled rate of SAEs was 29% (95% CI [0.21-0.38]). Surgical complications pooled rate was 25% (95% CI [0.14-0.41]). The pooled rate of treatment discontinuation (11%, 95% CI [0.09-0.13]), surgical delay (3%, 95% CI [0.02-0.05]), and treatment-related death (2%, 95% CI [0.02-0.03]) were conducted. CONCLUSION: Neoadjuvant immunotherapy plus chemotherapy provides a high pathological response, surgical resection rate, R0 resection rate, and pathological downstage rate and has a low risk of increasing the incidence of SAEs, surgical complications, treatment discontinuation, surgical delay, and treatment-related death. The validation of prospective and large sample studies is needed to confirm this conclusion.

Thyroid autoantibodies at baseline predict longer survival in non-small cell lung cancer patients treated with anti-programmed cell death-1 blockade: a prospective study.

The presence of anti-thyroid antibodies (ATAs) is a biomarker for the development of thyroid dysfunction induced by anti-programmed cell death-1 antibodies (PD-1-Abs). While patients with thyroid dysfunction reportedly showed better overall survival (OS), it remains unknown if ATAs at baseline can predict OS. Therefore, in this study, we examined the association of ATAs at baseline with OS in non-small cell lung cancer (NSCLC) patients with different levels of programmed cell death-1 ligand 1 (PD-L1) positivity associated with PD-1-Ab treatment efficacy. A total of 81 NSCLC patients treated with PD-1-Abs were evaluated for ATAs at baseline and prospectively for OS. Among the 81 patients, 49 and 32 patients had ≥50% (group A) and <50% (group B) PD-L1 positivity, respectively. Median OS did not differ significantly between patients with (n = 13) and without (n = 36) ATAs at baseline in group A. In contrast, median OS was significantly longer in patients with (n = 10) versus without (n = 22) ATAs at baseline in group B (not reached vs 378 days, respectively; 95% CI, 182 to 574 days, p = 0.049). These findings suggest that the presence of ATAs at baseline is a biomarker to predict better treatment efficacy of PD-1-Abs in NSCLC patients with low PD-L1 positivity, while the difference in OS in those with high PD-L1 positivity may be masked by increased tumor expression of PD-L1.

Development of non-pulmonary soft-tissue metastasis is not a poor prognostic indicator in dogs with metastatic appendicular osteosarcoma.

Objectives: To evaluate whether patient factors affect development of non-pulmonary soft-tissue metastases following treatment of canine appendicular osteosarcoma and to report and compare outcomes to those in dogs with pulmonary or osseous metastases. Animals and procedure: The records of 3 veterinary teaching hospitals were reviewed to identify dogs that received definitive treatment for a primary appendicular osteosarcoma lesion and chemotherapy between January 2010 and June 2022. Dogs with non-pulmonary metastases following initial treatment were included. Descriptive statistics were calculated to summarize signalment information, and metastasis and survival times were compared between groups using Kaplan-Meier survival analysis and log-rank tests. Results: Thirty-six and 109 dogs developed non-pulmonary soft-tissue metastases and pulmonary or osseous metastases, respectively, following initial treatment. No patient factors were significantly associated with development of non-pulmonary soft-tissue metastases. The median times to non-pulmonary soft-tissue metastasis or initial pulmonary or osseous metastasis were 220 and 169 d, respectively (P = 0.18); whereas overall median survival times were 250 and 270 d, respectively (P = 0.36). Conclusion: Dogs with non-pulmonary soft-tissue metastases had similar disease-free intervals and survival rates to dogs with typical pulmonary or osseous metastases.

Le développement de métastases des tissus mous non pulmonaires n'est pas un indicateur de mauvais pronostic chez les chiens atteints d'ostéosarcome appendiculaire métastatique. Objectifs: Évaluer si les facteurs liés au patient affectent le développement de métastases des tissus mous non pulmonaires après le traitement de l'ostéosarcome appendiculaire canin et rapporter et comparer les résultats à ceux des chiens atteints de métastases pulmonaires ou osseuses. Animaux et procédure: Les dossiers de 3 hôpitaux universitaires vétérinaires ont été examinés pour identifier les chiens qui ont reçu un traitement définitif pour une lésion d'ostéosarcome appendiculaire primaire et une chimiothérapie entre janvier 2010 et juin 2022. Les chiens présentant des métastases non pulmonaires après le traitement initial ont été inclus. Des statistiques descriptives ont été calculées pour résumer les informations descriptives, et les métastases et les temps de survie ont été comparés entre les groupes à l'aide d'une analyse de survie de Kaplan-Meier et de tests du rang logarithmique. Résultats: Trente-six et 109 chiens ont développé des métastases des tissus mous non pulmonaires et des métastases pulmonaires ou osseuses, respectivement, après le traitement initial. Aucun facteur lié au patient n'a été significativement associé au développement de métastases des tissus mous non pulmonaires. Les délais médians avant métastases des tissus mous non pulmonaires ou métastases pulmonaires ou osseuses initiales étaient respectivement de 220 et 169 jours (P = 0,18); tandis que les durées médianes de survie globale étaient respectivement de 250 et 270 jours (P = 0,36). Conclusion: Les chiens présentant des métastases des tissus mous non pulmonaires présentaient des intervalles sans maladie et des taux de survie similaires à ceux des chiens présentant des métastases pulmonaires ou osseuses typiques.(Traduit par Dr Serge Messier).

Multi-omics profiling and experimental verification of tertiary lymphoid structure-related genes: molecular subgroups, immune infiltration, and prognostic implications in lung adenocarcinoma.

Lung adenocarcinoma (LUAD), characterized by a low 5-year survival rate, is the most common and aggressive type of lung cancer. Recent studies have shown that tertiary lymphoid structures (TLS), which resemble lymphoid structures, are closely linked to the immune response and tumor prognosis. The functions of the tertiary lymphoid structure-related genes (TLS-RGs) in the tumor microenvironment (TME) are poorly understood. Based on publicly available data, we conducted a comprehensive study of the function of TLS-RGs in LUAD. Initially, we categorized LUAD patients into two TLS and two gene subtypes. Subsequently, risk scores were calculated, and prognostic models were constructed using seven genes (CIITA, FCRL2, GBP1, BIRC3, SCGB1A1, CLDN18, and S100P). To enhance the clinical application of TLS scores, we have developed a precise nomogram. Furthermore, drug sensitivity, tumor mutational burden (TMB), and the cancer stem cell (CSC) index were found to be substantially correlated with the TLS scores. Single-cell sequencing results reflected the distribution of TLS-RGs in cells. Finally, we took the intersection of overall survival (OS), disease-specific survival (DSS), and progression-free interval (PFI) prognosis-related genes and then further validated the expression of these genes by qRT-PCR. Our in-depth investigation of TLS-RGs in LUAD revealed their possible contributions to the clinicopathological features, prognosis, and characteristics of TME. These findings underscore the potential of TLS-RGs as prognostic biomarkers and therapeutic targets for LUAD, thereby paving the way for personalized treatment strategies.

Characterization of prognostic signature related with twelve types of programmed cell death in lung squamous cell carcinoma.

OBJECTIVE: This study aimed to develop a prognostic cell death index (CDI) based on the expression of genes related with various types of programmed cell death (PCD), and to assess its clinical relevance in lung squamous cell carcinoma (LUSC). METHODS: PCD-related genes were gathered and analyzed in silico using the transcriptomic data from the LUSC cohorts of The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC). Differentially expressed PCD genes were analyzed, and a prognostic model was subsequently constructed. CDI scores were calculated for each patient, and their correlations with clinical features, survival outcomes, tumor mutation burden, gene clusters, and tumor microenvironment were investigated. Unsupervised consensus clustering was performed based on CDI model genes. Furthermore, the correlation of CDI for sensitivity of targeted drugs, chemotherapy efficacy, and immunotherapy responses was assessed. RESULTS: Based on 351 differentially expressed PCD genes in LUSC, a CDI signature comprising FGA, GAB2, JUN, and CDKN2A was identified. High CDI scores were significantly associated with poor survival outcomes (p < 0.05). Unsupervised clustering revealed three distinct patient subsets with varying survival rates. CDKN2A exhibited significantly different mutation patterns between patients with high and low CDI scores (p < 0.01). High CDI scores were also linked to increased immune cell infiltration of specific subsets and altered expression of immune-related genes. Patients with high-CDI showed reduced sensitivity to several chemotherapeutic drugs and a higher Tumor Immune Dysfunction and Exclusion (TIDE) score, indicating potential resistance to immunotherapy. CONCLUSION: The CDI signature based on PCD genes offers valuable prognostic insights into LUSC, reflecting molecular heterogeneity, immune microenvironment associations, and potential therapeutic challenges. The CDI holds potential clinical utility in predicting treatment responses and guiding the selection of appropriate therapies for patients with LUSC. Future studies are warranted to further validate the prognostic value of CDI in combination with clinical factors and to explore its application across diverse patient cohorts.

External validation of the parsimonious EuroLung risk models: analysis of the Brazilian Lung Cancer Registry.

OBJECTIVE: The purpose of this study was to assess performance in the Brazilian Lung Cancer Registry Database by using the parsimonious EuroLung risk models for morbidity and mortality. METHODS: The EuroLung1 and EuroLung2 models were tested and evaluated through calibration (calibration plot, Brier score, and the Hosmer-Lemeshow test) and discrimination (ROC AUCs), in a national multicenter registry of 1,031 patients undergoing anatomic lung resection. RESULTS: The evaluation of performance in Brazilian health care facilities utilizing risk-adjustment models, specifically EuroLung1 and EuroLung2, revealed substantial miscalibration, as evidenced by calibration plots and Hosmer-Lemeshow tests in both models. In terms of calibration, EuroLung1 exhibited a calibration plot with overlapping points, characterized by a slope of 1.11 and a Brier score of 0.15; the Hosmer-Lemeshow test yielded a statistically significant p-value of 0.015; and the corresponding ROC AUC was 0.678 (95% CI: 0.636-0.721). The EuroLung2 model displayed better calibration, featuring fewer overlapping points in the calibration plot, with a slope of 1.22, with acceptable discrimination, as indicated by a ROC AUC of 0.756 (95% CI: 0.670-0.842). Both models failed to accurately predict morbidity and mortality outcomes in this specific health care context. CONCLUSIONS: Discrepancies between the EuroLung model predictions and outcomes in Brazil underscore the need for model refinement and for a probe into inefficiencies in the Brazilian health care system.

First-line treatment of EGFR-mutated non-small cell lung cancer with brain metastases: a systematic review and meta-analysis.

This systematic review and network meta-analysis evaluates first-line treatment options for patients with EGFR-mutant non-small cell lung cancer (NSCLC) and brain metastases. We analyzed 24 randomized controlled trials (RCTs) involving 2,682 patients, comparing various EGFR tyrosine kinase inhibitors (TKIs) and combination therapies. Direct comparisons showed that the addition of bevacizumab or chemotherapy to first-generation (1G) EGFR-TKIs improved overall survival (OS) compared to 1G TKIs alone, with HRs of 0.704 (95% CI: 0.433-0.973) and 0.682 (95% CI: 0.464-0.899), respectively. However, third-generation (3G) TKI monotherapy did not significantly improve OS compared with 1G TKIs, with an HR of 0.855 (95% CI: 0.511-1.198). Indirect comparisons suggested that the combination of 3G TKIs with chemotherapy provided the most significant improvements in OS and progression-free survival (PFS), significantly outperforming 3G TKIs, with HRs of OS 1.69 (95% CI: 1.14-3.4) and PFS 2.13 (95% CI: 1.28-3.54). Intracranial PFS was best with 1G TKIs plus bevacizumab. Our findings suggest that 3G EGFR-TKIs in combination with chemotherapy may be the most effective strategy for patients with EGFR-mutant NSCLC and brain metastases, though further head-to-head trials are needed for validation.

A random survival forest-based pathomics signature classifies immunotherapy prognosis and profiles TIME and genomics in ES-SCLC patients.

BACKGROUND: Small cell lung cancer (SCLC) is a highly aggressive neuroendocrine tumor with high mortality, and only a limited subset of extensive-stage SCLC (ES-SCLC) patients demonstrate prolonged survival under chemoimmunotherapy, which warrants the exploration of reliable biomarkers. Herein, we built a machine learning-based model using pathomics features extracted from hematoxylin and eosin (H&E)-stained images to classify prognosis and explore its potential association with genomics and TIME. METHODS: We retrospectively recruited ES-SCLC patients receiving first-line chemoimmunotherapy at Nanjing Jinling Hospital between April 2020 and August 2023. Digital H&E-stained whole-slide images were acquired, and targeted next-generation sequencing, programmed death ligand-1 staining, and multiplex immunohistochemical staining for immune cells were performed on a subset of patients. A random survival forest (RSF) model encompassing clinical and pathomics features was established to predict overall survival. The function of putative genes was assessed via single-cell RNA sequencing. RESULTS AND CONCLUSION: During the median follow-up period of 12.12 months, 118 ES-SCLC patients receiving first-line immunotherapy were recruited. The RSF model utilizing three pathomics features and liver metastases, bone metastases, smoking status, and lactate dehydrogenase, could predict the survival of first-line chemoimmunotherapy in patients with ES-SCLC with favorable discrimination and calibration. Underlyingly, the higher RSF-Score potentially indicated more infiltration of CD8+ T cells in the stroma as well as a greater probability of MCL-1 amplification and EP300 mutation. At the single-cell level, MCL-1 was associated with TNFA-NFKB signaling and apoptosis-related processes. Hopefully, this noninvasive model could act as a biomarker for immunotherapy, potentially facilitating precision medicine in the management of ES-SCLC.

Mitochondrial Pyruvate Carrier 1 as a Novel Prognostic Biomarker in Non-Small Cell Lung Cancer.

BACKGROUND: Abnormal mitochondrial pyruvate carrier 1 (MPC1) expression plays a key role in tumor metabolic reprogramming and progression. Understanding its significance in non-small cell lung cancer (NSCLC) is crucial for identifying therapeutic targets. METHODS: TIMER 2.0 was utilized to assess the expression of MPC1 in both normal and cancer tissues in pan-cancer. Overall survival (OS) differences between high and low MPC1 expression were analyzed in NSCLC using the Cancer Genome Atlas (TCGA) datasets. We also examined the expression of MPC1 in NSCLC cell lines using western blotting and quantitative reverse transcriptase polymerase chain reaction (qRT-PCR). In addition, the tissue samples and clinical information of 80 patients with NSCLC from our hospital were collected. Immunohistochemistry (IHC) was used to assess MPC1 expression, and OS was evaluated using Kaplan-Meier curves and the log-rank test. Univariate and multivariate Cox regression analyses were conducted to evaluate the prognostic values of the clinical characteristics and MPC1expression. RESULTS: Analysis of public databases suggested that MPC1 was downregulated in NSCLC compared to that in normal lung tissue and predicted poor prognosis. In addition, the expression of MPC1 in NSCLC cell lines was lower than that in human bronchial epithelial (HBE) cells at both protein and mRNA levels. Further clinical analysis suggested that MPC1 expression was correlated with age, tumor T stage, and TNM stage. Kaplan-Meier analysis revealed that NSCLC patients with high MPC1 expression had a better prognosis, particularly in lung adenocarcinoma (LUAD), whereas no survival benefit was observed in lung squamous cell carcinoma (LUSC). Univariate and multivariate analyses suggested that MPC1 was an independent prognostic factor for patients with NSCLC. CONCLUSIONS: MPC1 is poorly expressed in NSCLC, particularly in LUAD, which predicts a poor prognosis and may serve as an independent prognostic factor. Further studies on MPC1 may reveal new targets for the treatment of NSCLC.