Establishment of a survival predictive model for patients with two synchronous multiple primary lung cancers: a multicenter cohort analysis.

Background: The prognostic predictors of the synchronous multiple primary lung cancer (SMPLC) still remain unclear, and there is a lack of studies on the prognosis of SMPLC patients excluding those with multifocal ground-glass/lepidic (GG/L) nodules. The aim of this study is to develop an effective model for predicting survival of SMPLC patients. Methods: In this multicenter cohort study, a total of 831 SMPLC patients presenting for lung cancer resection from January 2004 to January 2018 at five institutions were included for developing and validating a nomogram model. Specifically, 499 patients from the Cancer Hospital, Chinese Academy of Medical Sciences, and Beijing Chao-Yang Hospital, Capital Medical University were served as the training cohort. A total of 332 patients from The Third Xiangya Hospital of Central South University, the First Affiliated Hospital of University of Science and Technology of China, and Beijing Liangxiang Hospital were served as the external validation cohort. The nomogram model was compared with the Tumor Node Metastasis (TNM) system for the overall survival. The C-index, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to evaluate the model performance. A user-friendly website for SMPLC survival probability calculation was also provided for a better understanding of prognosis of patients with resected SMPLC. Results: A total of seven independent risk factors were selected by conducting a multivariate analysis on the training set. Further, a nomogram model was developed with these factors. Both the internal and external validations exhibited good discrimination (C-index: internal, 0.827; external, 0.784). The NRI and IDI of this model were 0.33 and 0.21, respectively. The survival rates for 1-year, 3-year, and 5-year were consistent with the actual observed values. A set of cutoff values were determined by grouping the patients into three different groups. For each group, we should expect a significant distinction between survival curves. Conclusions: The novel nomogram model enables accurate survival risk stratification of patients with resected SMPLC and may assist in decision-making that is conducive to patients with SMPLC at high risk.

IL-1 receptor-associated kinase 3 (IRAK3) in lung adenocarcinoma predicts prognosis and immunotherapy resistance: involvement of multiple inflammation-related pathways.

Background: Lung cancer is a globally prevailing malignancy, and the predominant histological subtype is lung adenocarcinoma (LUAD). IL-1 receptor-associated kinase 3 (IRAK3) has been identified in connection with innate immune and inflammatory response. The aim of this study is to investigate the impact of IRAK3 on prognosis and immunotherapy efficacy in LUAD, which remains incompletely elucidated. Methods: Our study delved into multiple online databases to find out expression, methylation and prognostic potentials of IRAK3 in LUAD and other malignancies. We employed tissue microarrays to assess IRAK3 protein levels in our LUAD cohort [National Cancer Center (NCC), China] and explore prognostic values. The correlations between IRAK3 and immune infiltration based on The Cancer Genome Atlas (TCGA) data were analyzed by corresponding algorithms. The contribution of IRAK3 to immunotherapy response was explored through the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm. Both LinkedOmics database and gene set enrichment analysis (GSEA) were applied to investigate how IRAK3 influences the tumor immune microenvironment and regulates immunotherapy response. We applied single-cell RNA sequencing datasets for the investigation of IRAK3 expression across diverse immune cells. Moreover, we employed genomics of drug sensitivity in cancer (GDSC) databases to examine how IRKA3 expression correlates with different drug responses. Results: Compared with normal tissues, various tumor tissues had lower IRAK3 expression which could be regulated by its high methylation level. Reduced IRAK3 protein level was observed to correlate with advanced tumor stages and unfavorable prognosis among patients with LUAD, especially individuals with lymph node metastasis. Gene set enrichment analysis (GSEA) and tumor infiltration analysis proved that IRAK3 provoked immune infiltration. Macrophages/monocytes, CD4+ T cells, CD8+ T cells and neutrophils correlated significantly with IRAK3 expression. With TIDE algorithm, IRAK3 was verified to be related to poor immune checkpoint blockade (ICB) response. IRAK3 demonstrated positive associations with T-cell dysfunction score and immune checkpoint markers. Conversely, it exhibited negative correlations with microsatellite instability (MSI) and tumor mutation burden (TMB). High IRAK3 expression exacerbated cytotoxic T lymphocyte (CTL) dysfunction and predicted immunotherapy resistance by involvement of multiple inflammation-related pathways including IL-6/JAK/STAT3 signaling, inflammatory response and interferon-gamma (IFN-γ) response pathways. Additionally, elevated IRAK3 expression was predicted to be related with better responses to chemotherapeutic and molecular targeted drugs. Conclusions: Our findings indicated that IRAK3 could function as an independent prognostic predictor and an immunotherapeutic indicator in LUAD through involvement of multiple inflammation-related pathways.

Single-cell sequencing reveals immune features of treatment response to neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma.

Neoadjuvant immunochemotherapy (nICT) has dramatically changed the treatment landscape of operable esophageal squamous cell carcinoma (ESCC), but factors influencing tumor response to nICT are not well understood. Here, using single-cell RNA sequencing paired with T cell receptor sequencing, we profile tissues from ESCC patients accepting nICT treatment and characterize the tumor microenvironment context. CXCL13+CD8+ Tex cells, a subset of exhausted CD8+ T cells, are revealed to highly infiltrate in pre-treatment tumors and show prominent progenitor exhaustion phenotype in post-treatment samples from responders. We validate CXCL13+CD8+ Tex cells as a predictor of improved response to nICT and reveal CXCL13 to potentiate anti-PD-1 efficacy in vivo. Post-treatment tumors from non-responders are enriched for CXCL13+CD8+ Tex cells with notably remarkable exhaustion phenotype and TNFRSF4+CD4+ Tregs with activated immunosuppressive function and a significant clone expansion. Several critical markers for therapeutic resistance are also identified, including LRRC15+ fibroblasts and SPP1+ macrophages, which may recruit Tregs to form an immunosuppressive landscape. Overall, our findings unravel immune features of distinct therapeutic response to nICT treatment, providing a rationale for optimizing individualized neoadjuvant strategy in ESCC.

Neoadjuvant pembrolizumab plus chemotherapy followed by adjuvant pembrolizumab compared with neoadjuvant chemotherapy alone in patients with early-stage non-small-cell lung cancer (KEYNOTE-671): a randomised, double-blind, placebo-controlled, phase 3 trial.

BACKGROUND: At the first interim analysis of the KEYNOTE-671 trial, adding perioperative pembrolizumab to neoadjuvant chemotherapy significantly improved event-free survival in participants with early-stage non-small-cell lung cancer (NSCLC). We report overall survival and health-related quality of life outcomes from the second interim analysis. METHODS: KEYNOTE-671 was a global phase 3 trial done at 189 medical centres. Eligible participants (aged ≥18 years) with resectable stage II, IIIA, or IIIB (N2) NSCLC were randomly assigned (1:1) to four cycles of neoadjuvant pembrolizumab (200 mg administered intravenously every 3 weeks) plus cisplatin-based chemotherapy followed by surgery and 13 cycles of adjuvant pembrolizumab (200 mg administered intravenously every 3 weeks) or to four cycles of neoadjuvant placebo (administered intravenously every 3 weeks) plus cisplatin-based chemotherapy followed by surgery and 13 cycles of adjuvant placebo (administered intravenously every 3 weeks). Randomisation was done centrally using an interactive response technology system and was stratified by disease stage, PD-L1 expression, histology, and geographical region in blocks of four. Participants, investigators, and sponsor personnel were masked to treatment assignments; local pharmacists were unmasked to support treatment preparation. The dual primary endpoints were overall survival and event-free survival evaluated in the intention-to-treat population. This study is registered at ClinicalTrials.gov, NCT03425643, and is ongoing but closed to enrolment. FINDINGS: Between May 11, 2018, and Dec 15, 2021, 797 participants were randomly assigned to the pembrolizumab group (n=397) or the placebo group (n=400). Median study follow-up at the second interim analysis was 36·6 months (IQR 27·6-47·8). 36-month overall survival estimates were 71% (95% CI 66-76) in the pembrolizumab group and 64% (58-69) in the placebo group (hazard ratio 0·72 [95% CI 0·56-0·93]; one-sided p=0·0052; threshold, one-sided p=0·0054). Median event-free survival was 47·2 months (95% CI 32·9 to not reached) in the pembrolizumab group and 18·3 months (14·8-22·1) in the placebo group (hazard ratio 0·59 [95% CI 0·48-0·72]). In the as-treated population, grade 3-5 treatment-related adverse events occurred in 179 (45%) of 396 participants in the pembrolizumab group and in 151 (38%) of 399 participants in the placebo group. Treatment-related adverse events led to death in four (1%) participants in the pembrolizumab group and three (1%) participants in the placebo group. INTERPRETATION: The significant overall survival benefit of neoadjuvant pembrolizumab plus chemotherapy followed by adjuvant pembrolizumab compared with neoadjuvant chemotherapy alone coupled with a manageable safety profile support the use of perioperative pembrolizumab in patients with resectable, early-stage NSCLC. FUNDING: Merck Sharp & Dohme, a subsidiary of Merck & Co, Rahway, NJ, USA.

Time-dependent prognostic impact of circumferential resection margin in T3 thoracic esophageal squamous cell carcinoma.

Esophageal cancer presents a clinical challenge due to its high incidence and unfavorable prognosis. The prognostic role of the circumferential resection margin (CRM) remains highly controversial, potentially due to its temporal dynamics coupled with variability in follow-up durations across studies. We aimed to explore the time-dependent prognostic significance of CRM in T3 esophageal squamous cell carcinomas (ESCCs). We systematically reviewed literature from 1990 to 2023 to determine how follow-up duration influences the prognostic role of CRM in esophageal cancer. Concurrently, we performed a retrospective examination of 354 patients who underwent treatment at the National Cancer Center between 2015 and 2018. Integrating a time interaction term in the Cox regression analyses enabled us to not only identify independent risk factors affecting overall survival (OS) but also to specifically scrutinize the potential temporal variations in CRM's prognostic impact. Our literature review suggested that CRM's influence on prognosis diminishes with longer follow-up durations for both classifications, namely the Royal College of Pathologists (RCP) (ß = -0.003, P < 0.001) and the College of American Pathologists (CAP) (ß = -0.007, P < 0.001). Time-dependent multivariate Cox regression analysis emphasized the evolving nature of CRM's prognostic effect, and the inclusion of the time interaction term enhanced model accuracy. In conclusion, CRM is an independent prognostic factor for T3 thoracic ESCC patients. Its influence appears to decrease over extended follow-up periods, shedding light on the heterogeneity seen in previous studies. With the time interaction term, CRM becomes a more precise post-operative prognostic indicator for esophageal cancer.

Five-year follow-up of neoadjuvant PD-1 inhibitor (sintilimab) in non-small cell lung cancer.

BACKGROUND: Neoadjuvant anti-programmed cell death protein-1 (PD-1) therapy exhibits potential in treating resectable non-small cell lung cancer (NSCLC). Previously, we have reported the 3-year clinical outcomes of this trial, implying the effectiveness and feasibility of neoadjuvant sintilimab monotherapy. However, the long-term prognosis of patients receiving neoadjuvant mono-immunotherapy has yet to be elucidated. METHODS: For patients with stage IA-IIIB NSCLC, two doses of sintilimab (200 mg) were administered intravenously in the neoadjuvant setting. The 5-year event-free survival (EFS), disease-free survival (DFS), and overall survival (OS) were assessed in these updated results. The predictive role of specific biomarkers in neoadjuvant immunotherapy was also explored. RESULTS: With a median follow-up of 61.0 months, 5-year DFS and OS rates of patients who underwent R0 resection were 65.7% and 80.4%, respectively. The 5-year DFS and OS rates of patients with positive programmed death-ligand 1 (PD-L1) expression were 71.9% and 90.9%, respectively. The presence of PD-L1 positivity (tumor proportion score ≥1%) showed a tendency toward the promising prognosis (OS, HR, 0.143; 95% CI: 0.027 to 0.743), especially for those who did not achieve pathological complete response (pCR). In addition, tumor mutation burden was positively correlated with a favorable prognosis. A total of 10 recurrences and 5 subsequent deaths were identified within the 5-year follow-up, with lung metastasis being the predominant. CONCLUSIONS: These updated analyses were the first to unveil the 5-year survival benefits of neoadjuvant sintilimab monotherapy, implying the potential value of PD-1 inhibitors in neoadjuvant therapy.

Assessing the global burden of mesothelioma: trends, socioeconomic influences, and asbestos exposure: a retrospective cohort study.

INTRODUCTION: Mesothelioma is an uncommon type of cancer which has received little attention. This study aims to evaluate the global disease burden; trends of mesothelioma by age, sex, and geographic locations; and its risk factors on the population level. METHODS: The Global Cancer Observatory in 2022 and 2019 Global Burden of Disease were accessed for mesothelioma incidence and its risk factors worldwide. Multivariable linear regression analyses was conducted to explore the associations between mesothelioma incidence and key predictors including Human Development Index (HDI), Gross Domestic Product (GDP) per capita, and occupational asbestos exposure, adjusting for age and sex across global regions. RESULTS: This study identified 30,870 global cases of mesothelioma in 2022, with a higher age-standardized incidence rate (ASR) in males (0.25 per 100,000) compared to females (0.39 per 100,000). Geographical analysis indicated the highest disease burden in Northern Europe, with particular prevalence in more developed regions. The incidence was also significantly associated with higher Human Development Index (HDI), with a beta coefficient of 0.133 overall, and Gross Domestic Product (GDP) per capita, with a beta coefficient of 0.101. These socioeconomic factors exhibited stronger associations in the elderly population, especially with HDI (ß=0.512) and GDP (ß=0.389), than in adults. Additionally, occupational exposure to asbestos remained a significant risk factor across all groups, except for the younger adult population, with an overall beta of 0.122 for incidence. The temporal trend analysis revealed a general decrease in mesothelioma incidence, particularly in the 15-49 years age group. CONCLUSIONS: The analysis indicates a higher mesothelioma incidence in males and in developed regions, with marked disparities noted particularly in Northern Europe. Significant correlations with socioeconomic indicators-HDI and GDP-and occupational asbestos exposure were identified, particularly affecting the elderly. Despite a decline in global incidence, especially among younger individuals, persistent cases in females highlight the need for continued public health measures addressing both occupational and environmental exposures.

KLF12 interacts with TRIM27 to affect cisplatin resistance and cancer metastasis in esophageal squamous cell carcinoma by regulating L1CAM expression.

Krüppel-like factor 12 (KLF12) has been characterized as a transcriptional repressor, and previous studies have unveiled its roles in angiogenesis, neural tube defect, and natural killer (NK) cell proliferation. However, the contribution of KLF12 to cancer treatment remains undefined. Here, we show that KLF12 is downregulated in various cancer types, and KLF12 downregulation promotes cisplatin resistance and cancer metastasis in esophageal squamous cell carcinoma (ESCC). Mechanistically, KLF12 binds to the promoters of L1 Cell Adhesion Molecule (L1CAM) and represses its expression. Depletion of L1CAM abrogates cisplatin resistance and cancer metastasis caused by KLF12 loss. Moreover, the E3 ubiquitin ligase tripartite motif-containing 27 (TRIM27) binds to the N-terminal region of KLF12 and ubiquitinates KLF12 at K326 via K33-linked polyubiquitination. Notably, TRIM27 depletion enhances the transcriptional activity of KLF12 and consequently inhibits L1CAM expression. Overall, our study elucidated a novel regulatory mechanism involving TRIM27, KLF12 and L1CAM, which plays a substantial role in cisplatin resistance and cancer metastasis in ESCC. Targeting these genes could be a promising approach for ESCC treatment.

Minimal residual disease profiling predicts pathological complete response in esophageal squamous cell carcinoma.

Accurate presurgical prediction of pathological complete response (pCR) can guide treatment decisions, potentially avoiding unnecessary surgeries and improving the quality of life for cancer patients. We developed a minimal residual disease (MRD) profiling approach with enhanced sensitivity and specificity for detecting minimal tumor DNA from cell-free DNA (cfDNA). The approach was validated in two independent esophageal squamous cell carcinoma (ESCC) cohorts. In a cohort undergoing neoadjuvant, surgical, and adjuvant therapy (NAT cohort), presurgical MRD status precisely predicted pCR. All MRD-negative cases (10/10) were confirmed as pCR by pathological evaluation on the resected tissues. In contrast, MRD-positive cases included all the 27 non-pCR cases and only one pCR case (10/10 vs 1/28, P < 0.0001, Fisher's exact test). In a definitive radiotherapy cohort (dRT cohort), post-dRT MRD status was closely correlated with patient prognosis. All MRD-negative patients (25/25) remained progression-free during the follow-up period, while 23 of the 26 MRD-positive patients experienced disease progression (25/25 vs 3/26, P < 0.0001, Fisher's exact test; progression-free survival, P < 0.0001, log-rank test). The MRD profiling approach effectively predicted the ESCC patients who would achieve pCR with surgery and those likely to remain progression-free without surgery. This suggests that the cancer cells in these MRD-negative patients have been effectively eliminated and they could be suitable candidates for a watch-and-wait strategy, potentially avoiding unnecessary surgery.

Impact of lymph node dissection on cancer-specific survival in non-small cell lung cancer patients: a SEER database analysis.

Background: Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality worldwide, and lymph node dissection (LND) is a significant surgical procedure employed in its management. Although some studies suggest benefits of LND, the extent of its impact on survival, the optimal range of lymph nodes to be examined, and the specific patient groups that benefit most remain areas of active debate and investigation. Methods: A population-based analysis was conducted using the Surveillance, Epidemiology, and End Results (SEER) database. Patients diagnosed with NSCLC between 2004 and 2017, undergoing primary tumor resection, were included. Descriptive, univariate, and multivariate analyses assessed the effect of LND on survival, and a restricted cubic spline method determined the optimal range for lymph node examination. Results: This study of 37,323 NSCLC patients delved into the impact of LND on lung cancer-specific survival. Key findings revealed a median survival of 19.58 months, with 85% mortality. Baseline characteristics included a majority of White patients (81%), distant stage diagnoses (63%), and 64% with Grade IV tumors. LND emerged as a crucial predictor, influencing survival across age, gender, race, and tumor characteristics. Univariate analysis highlighted its significance, with higher T, N, and M categories, advanced stage, and poorer grade associating with elevated hazard ratios. Multivariate Cox proportional hazards (PH) analysis reinforced LND's impact, showcasing lower hazard ratios post-removal. Hazard ratios for biopsy/aspiration and removal of regional lymph nodes were 0.85 [95% confidence interval (CI): 0.81-0.89; P<0.001] and 0.43 (95% CI: 0.39-0.46; P<0.001), underscoring the protective effect. Visualizations and a U-shaped curve analysis identified an optimal range (24-32 nodes) for examination, emphasizing the nuanced benefits across NSCLC stages. Conclusions: The study findings suggest that LND plays a critical role in improving cancer-specific survival in NSCLC patients, particularly when tailored to the early stages of the disease. The optimal range of lymph nodes examined, between 24 and 32, offers crucial insights for personalized NSCLC treatment strategies and may enhance overall survival. These results underscore the need for refined surgical guidelines that incorporate the extent of LND, supporting the utility of a more personalized approach in NSCLC management.

Surgery challenges and postoperative complications of lung cancer after neoadjuvant immunotherapy.

BACKGROUND: In China, real-world data on surgical challenges and postoperative complications after neoadjuvant immunotherapy of lung cancer are limited. METHODS: Patients were retrospectively enrolled from January 2018 to January 2023, and their clinical and pathological characters were subsequently analyzed. Surgical difficulty was categorized into a binary classification according to surgical duration: challenging or routine. Postoperative complications were graded using Clavien-Dindo grades. Logistic regression was used to identify risk factors affecting the duration of surgery and postoperative complications greater than Clavien-Dindo grade 2. RESULTS: In total, 261 patients were included. Of these, stage III patients accounted for 62.5% (163/261) at initial diagnosis, with 25.3% (66/261) at stage IIIB. Central-type non-small-cell lung cancer accounted for 61.7% (161/261). One hundred and forty patients underwent video-assisted thoracoscopic surgery and lobectomy accounted for 53.3% (139/261) of patients. Surgical time over average duration was defined as challenging surgeries, accounting for 43.7%. The postoperative complications rate of 261 patients was only 22.2%. Smoking history (odds ratio [OR] = 9.96, 95% [CI] 1.15-86.01, p = 0.03), chemoimmunotherapy (OR = 2.89, 95% CI 1.22-6.86, p = 0.02), and conversion to open surgery (OR = 11.3, 95% CI 1.38-92.9, p = 0.02) were identified as independent risk factors for challenging surgeries, while pneumonectomy (OR = 0.36, 95% CI 0.15-0.86, p= 0.02) was a protective factor. Meanwhile, pneumonectomy (OR = 7.51, 95% CI 2.40-23.51, p < 0.01) and challenging surgeries (OR = 5.53, 95% CI 1.50-20.62, p = 0.01) were found to be risk factors for postoperative complications greater than Clavien-Dindo grade 2. CONCLUSIONS: Compared to immunotherapy alone or in combination with apatinib, neoadjuvant chemoimmunotherapy could increase the difficulty of surgery while the incidence of postoperative complications remained acceptable. The conversion to open surgery and pneumonectomy after neoadjuvant immunotherapy should be reduced.

Prognostic model based on B cell marker genes for NSCLC patients under neoadjuvant immunotherapy by integrated analysis of single-cell and bulk RNA-sequencing data.

BACKGROUND: Neoadjuvant immunotherapy has evolved as an effective option to treat non-small cell lung cancer (NSCLC). B cells play essential roles in the immune system as well as cancer progression. However, the repertoire of B cells and its association with clinical outcomes remains unclear in NSCLC patients receiving neoadjuvant immunotherapy. METHODS: Single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing data for LUAD samples were accessed from the TCGA and GEO databases. LUAD-related B cell marker genes were confirmed based on comprehensive analysis of scRNA-seq data. We then constructed the B cell marker gene signature (BCMGS) and validated it. In addition, we evaluated the association of BCGMS with tumor immune microenvironment (TIME) characteristics. Furthermore, we validated the efficacy of BCGMS in a cohort of NSCLC patients receiving neoadjuvant immunotherapy. RESULTS: A BCMGS was constructed based on the TCGA cohort and further validated in three independent GSE cohorts. In addition, the BCMGS was proven to be significantly associated with TIME characteristics. Moreover, a relatively higher risk score indicated poor clinical outcomes and a worse immune response among NSCLC patients receiving neoadjuvant immunotherapy. CONCLUSIONS: We constructed an 18-gene prognostic signature derived from B cell marker genes based on scRNA-seq data, which had the potential to predict the prognosis and immune response of NSCLC patients receiving neoadjuvant immunotherapy.

The characteristics and prognosis of different disease patterns of multiple primary lung cancers categorized according to the 8th edition lung cancer staging system.

INTRODUCTION: The 8th edition lung cancer staging system was the first to describe the detailed diagnosis and staging of multiple primary lung cancers (MPLC). However, the characteristics and prognosis of MPLC categorized according to the new system have not been evaluated. METHOD: We retrospectively analyzed data from surgically treated MPLC patients in a single center from 2011 to 2013 and explored the characteristics and outcomes of different MPLC disease patterns. RESULTS: In total, 202 surgically treated MPLC patients were identified and classified into different groups according to disease categories and diagnostic time (multifocal ground glass/lepidic (GG/L) nodules: n = 139, second primary lung cancer (SPLC): n = 63, simultaneous MPLC (sMPLC): n = 171, and metachronous MPLC (mMPLC): n = 31). There were significant differences in clinical characteristics between SPLC and GG/L nodule patients and simultaneous and metachronous MPLC patients. The overall 1-, 3-, and 5-year lung cancer-specific survival rates of MPLC were 97.98%, 90.18%, and 82.81%, respectively. Five-year survival was better in patients with multiple GG/L nodules than in those with SPLC (87.94% vs. 71.29%, P < 0.05). Sex was an independent prognostic factor for sMPLC (5-year survival, female vs. male, 88.0% vs. 69.5%, P < 0.05), and in multiple tumors, the highest tumor stage was an independent prognostic factor for all categories of MPLC. CONCLUSIONS: The different disease patterns of MPLC have significantly different characteristics and prognoses. Clinicians should place treatment emphasis on the tumor with the highest stage as it is the main contributor to the prognosis of all categories of MPLC patients.

Comprehensive Analysis of a Dendritic Cell Marker Genes Signature to Predict Prognosis and Immunotherapy Response in Lung Adenocarcinoma.

With the development of immune checkpoints inhibitors (ICIs), immunotherapy has recently taken center stage in cancer treatment. Dendritic cells exert complicated and important functions in antitumor immunity. This study aims to construct a novel dendritic cell marker gene signature (DCMGS) to predict the prognosis and immunotherapy response of lung adenocarcinoma (LUAD). DC marker genes in LUAD were identified by analysis of single-cell RNA sequencing data. 6 genes (G0S2, KLF4, ALDH2, IER3, TXN, CD69) were screened as the most prognosis-related genes for constructing DCMGS on a training cohort from TCGA data set. Patients were divided into high-risk and low-risk groups by DCMGS risk score based on overall survival time. Then, the predictive ability of the risk model was validated in 6 independent cohorts. DCMGS was verified to be an independent prognostic factor in multivariate analysis. Furthermore, we performed pathway enrichment analysis to explore possible biological mechanisms of the powerful predictive ability of DCMGS, and immune cell infiltration landscape and inflammatory activities were exhibited to reflect the immune profile. Notably, we bridged DCMGS with expression of immune checkpoints and TCR/BCR repertoire diversity that can inflect immunotherapy response. Finally, the predictive ability of DCMGS in immunotherapy response was also validated by 2 cohorts that had received immunotherapy. As a result, the patients with lower DCMGS risk scores showed a better prognosis and immunotherapy response. In conclusion, DCMGS was suggested to be a promising prognostic indicator for LUAD and a desirable predictor for immunotherapy response.

Perioperative chemotherapy with docetaxel plus oxaliplatin and S-1 (DOS) versus oxaliplatin plus S-1 (SOX) for the treatment of locally advanced gastric or gastro-esophageal junction adenocarcinoma (MATCH): an open-label, randomized, phase 2 clinical trial.

BACKGROUND: It remains unclear whether addition of docetaxel to the combination of a platinum and fluoropyrimidine could provide more clinical benefits than doublet chemotherapies in the perioperative treatment for locally advanced gastric/gastro-esophageal junction (LAG/GEJ) cancer in Asia. In this randomized, phase 2 study, we assessed the efficacy and safety of perioperative docetaxel plus oxaliplatin and S-1 (DOS) versus oxaliplatin plus S-1 (SOX) in LAG/GEJ adenocarcinoma patients. METHODS: Patients with cT3-4 Nany M0 G/GEJ adenocarcinoma were randomized (1:1) to receive 4 cycles of preoperative DOS or SOX followed by D2 gastrectomy and another 4 cycles of postoperative chemotherapy. The primary endpoint was major pathological response (MPR). RESULTS: From Aug, 2015 to Dec, 2019,154 patients were enrolled and 147 patients included in final analysis, with a median age of 60 (26-73) years. DOS resulted in significantly higher MPR (25.4 vs. 11.8%, P = 0.04). R0 resection rate, the 3-year PFS and 3-year OS rates were 78.9 vs. 61.8% (P = 0.02), 52.3 vs. 35% (HR 0.667, 95% CI: 0.432-1.029, Log rank P = 0.07) and 57.5 vs. 49.2% (HR 0.685, 95% CI: 0.429-1.095, Log rank P = 0.11) in the DOS and SOX groups, respectively. Patients who acquired MPR experienced significantly better survival. DOS had similar tolerance to SOX. CONCLUSIONS: Perioperative DOS improved MPR significantly and tended to produce longer PFS compared to SOX in LAG/GEJ cancer in Asia, and might be considered as a preferred option for perioperative chemotherapy and worth further investigation.

The presence of micropapillary and/or solid subtypes is an independent prognostic factor for patients undergoing curative resection for stage I lung adenocarcinoma with ground-glass opacity.

Background: Non-predominant or even minimal micropapillary and/or solid (MP/S) subtypes have been reported to exert an unfavorable prognostic influence on surgically resected lung adenocarcinoma (ADC). Currently, there is a lack of evidence to demonstrate that high-grade pathological subtypes, including MP/S components, impact the prognosis of patients with surgically resected lung ADCs with ground-glass opacity (GGO). In this investigation, we explored the prognostic implications of minimal MP/S components in lung ADCs with GGO. Methods: A retrospective cohort study was conducted on 1,004 consecutive patients undergoing curative resection for pathologic stage (p-stage) I lung ADCs featuring GGO on computed tomography (CT) scans between January 2014 and December 2016. Tumors were categorized into MP/S positive (MP/S+) group and MP/S negative (MP/S-) group. MP/S+ tumors were defined when MP/S subtypes constituted ≥1% of the entire tumor. The prognostic impact of MP/S subtypes was evaluated using Kaplan-Meier analysis, Cox proportional hazard model and restricted cubic spine (RCS) model. Results: A total of 86 (8.6%) cases with MP/S+ tumors and 918 (91.4%) cases with MP/S- tumors were identified. The solid component tumor diameter and pathological invasive tumor size of MP/S+ tumors were both significantly larger than that of MP/S- tumors (13.0 vs. 4.0 mm, P<0.001, and 18.0 vs. 10.0 mm, P<0.001, respectively). After a median follow-up of 7.3 years, the presence of MP/S components was significantly associated with decreased RFS (5-year RFS, MP/S+ 88.3% vs. MP/S- 97.4%; P<0.001; HR =1.02). The presence of a histologic lepidic (Lep) component demonstrated a prognostic advantage in both MP/S- (5-year RFS, MP/S-Lep+ 98.0% vs. MP/S-Lep- 95.3%; P=0.01; HR =0.89) and MP/S+ subgroups (5-year RFS, MP/S+Lep+ 93.4% vs. MP/S+Lep- 83.2%; P=0.10; HR =0.84). MP/S+ components ≥5% were the only tumor-related factor that independently affected RFS [hazard ratio (HR) =1.77; 95% confidence interval (CI): 1.07-2.94] according to multivariate analysis. There was a progressively negative impact of the proportion of MP/S subtypes on RFS as illustrated by RCS model. Conclusions: The presence of MP/S patterns in stage I GGO-featured lung ADCs exhibit significant prognostic value and may have implications for tailored postoperative treatment and surveillance strategies, especially when the proportion exceeds 5% of the entire tumor.

Treatment patterns and clinical outcomes of patients with resectable non-small cell lung cancer receiving neoadjuvant immunochemotherapy: A large-scale, multicenter, real-world study (NeoR-World).

BACKGROUND: Neoadjuvant immunotherapy has ushered in a new era of perioperative treatment for resectable non-small cell lung cancer (NSCLC). However, large-scale data for verifying the efficacy and optimizing the therapeutic strategies of neoadjuvant immunochemotherapy in routine clinical practice are scarce. METHODS: NeoR-World (NCT05974007) was a multicenter, retrospective cohort study involving patients who received neoadjuvant immunotherapy plus chemotherapy or chemotherapy alone in routine clinical practice from 11 medical centers in China between January 2010 and March 2022. Propensity score matching was performed to address indication bias. RESULTS: A total of 408 patients receiving neoadjuvant immunochemotherapy and 684 patients receiving neoadjuvant chemotherapy were included. The pathologic complete response (pCR) and major pathologic response (MPR) rates of the real-world neoadjuvant immunochemotherapy cohort were 32.8% and 58.1%, respectively. Notably, patients with squamous cell carcinoma exhibited significantly higher pCR and MPR rates than those with adenocarcinoma (pCR, 39.2% vs 16.5% [P < .001]; MPR, 66.6% vs 36.5% [P < .001]), whereas pCR and MPR rates were comparable among patients receiving different neoadjuvant cycles. In addition, the 2-year rates of disease-free survival (DFS) and overall survival (OS) rate were 82.0% and 93.1%, respectively. Multivariate analyses identified adjuvant therapy as an independent prognostic factor for DFS (hazard ratio [HR], 0.51; 95% confidence interval [CI], 0.29-0.89; P = .018) and OS (HR, 0.28; 95% CI, 0.13-0.58; P < .001). A significantly longer DFS with adjuvant therapy was observed in patients with non-pCR or 2 neoadjuvant cycles. We observed significant benefits in pCR rate (32.4% vs 6.4%; P < .001), DFS (HR, 0.50; 95% CI, 0.38-0.68; P < .001) and OS (HR, 0.61; 95% CI, 0.40-0.94; P = .024) with immunotherapy plus chemotherapy compared to chemotherapy alone both in the primary propensity-matched cohort and across most key subgroups. CONCLUSIONS: The study validates the superior efficacy of neoadjuvant immunochemotherapy over chemotherapy alone for NSCLC. Adjuvant therapy could prolong DFS in patients receiving neoadjuvant immunochemotherapy, and patients with non-pCR or those who underwent 2 neoadjuvant cycles were identified as potential beneficiaries of adjuvant therapy.

Genomic characteristics and immune landscape of super multiple primary lung cancer.

BACKGROUND: In recent years, a growing number of patients with multiple primary lung cancer (MPLC) are being diagnosed, and a subset of these patients is found to have a large number of lesions at the time of diagnosis, which are referred to as 'super MPLC'. METHODS: Here, we perform whole exome sequencing (WES) and immunohistochemistry (IHC) analysis of PD-L1 and CD8 on 212 tumor samples from 42 patients with super MPLC. FINDINGS: We report the genomic alteration landscape of super MPLC. EGFR, RBM10 and TP53 mutation and TERT amplification are important molecular events in the evolution of super MPLC. We propose the conception of early intrapulmonary metastasis, which exhibits different clinical features from conventional metastasis. The IHC analyses of PD-L1 and CD8 reveal a less inflamed microenvironment of super MPLC than that of traditional non-small cell lung cancer (NSCLC). We identify the potentially susceptible germline mutations for super MPLC. INTERPRETATION: Our study depicts the genomic characteristics and immune landscape, providing insights into the pathogenesis and possible therapeutic guidance of super MPLC. FUNDING: A full list of funding bodies that supported this study can be found in the Acknowledgements section.

Machine learning-based radiomics to distinguish pulmonary nodules between lung adenocarcinoma and tuberculosis.

BACKGROUND: Radiomics is increasingly utilized to distinguish pulmonary nodules between lung adenocarcinoma (LUAD) and tuberculosis (TB). However, it remains unclear whether different segmentation criteria, such as the inclusion or exclusion of the cavity region within nodules, affect the results. METHODS: A total of 525 patients from two medical centers were retrospectively enrolled. The radiomics features were extracted according to two regions of interest (ROI) segmentation criteria. Multiple logistic regression models were trained to predict the pathology: (1) The clinical model relied on clinical-radiological semantic features; (2) The radiomics models (radiomics+ and radiomics-) utilized radiomics features from different ROIs (including or excluding cavities); (3) the composite models (composite+ and composite-) incorporated both above. RESULTS: In the testing set, the radiomics+/- models and the composite+/- models still possessed efficient prediction performance (AUC ≥ 0.94), while the AUC of the clinical model was 0.881. In the validation set, the AUC of the clinical model was only 0.717, while that of the radiomics+/- models and the composite+/- models ranged from 0.801 to 0.825. The prediction performance of all the radiomics+/- and composite+/- models were significantly superior to that of the clinical model (p < 0.05). Whether the ROI segmentation included or excluded the cavity had no significant effect on these models (radiomics+ vs. radiomics-, composite+ model vs. composite-) (p > 0.05). CONCLUSIONS: The present study established a machine learning-based radiomics strategy for differentiating LUAD from TB lesions. The ROI segmentation including or excluding the cavity region may exert no significant effect on the predictive ability.