Outcome In Non-small Cell Lung Cancer Research Articles

Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology.

This study aimed to assess the efficiency of artificial intelligence (AI) in the detection of visceral pleural invasion (VPI) of lung cancer using high-resolution computed tomography (HRCT) images, which is challenging for experts because of its significance in T-classification and lymph node metastasis prediction. This retrospective analysis was conducted on preoperative HRCT images of 472 patients with stage I non-small cell lung cancer (NSCLC), focusing on lesions adjacent to the pleura to predict VPI. YOLOv4.0 was utilized for tumor localization, and EfficientNetv2 was applied for VPI prediction with HRCT images meticulously annotated for AI model training and validation. Of the 472 lung cancer cases (500 CT images) studied, the AI algorithm successfully identified tumors, with YOLOv4.0 accurately localizing tumors in 98% of the test images. In the EfficientNet v2-M analysis, the receiver operating characteristic curve exhibited an area under the curve of 0.78. It demonstrated powerful diagnostic performance with a sensitivity, specificity, and precision of 76.4% in VPI prediction. AI is a promising tool for improving the diagnostic accuracy of VPI for NSCLC. Furthermore, incorporating AI into the diagnostic workflow is advocated because of its potential to improve the accuracy of preoperative diagnosis and patient outcomes in NSCLC.

Rare Driver Mutations in Advanced, Oncogene-Addicted Non-Small Cell Lung Cancer: A North Italian, Real-World, Registry Experience.

The real-world, retrospective, NEROnE registry investigated the impact of next-generation sequencing (NGS) in advanced non-small-cell lung cancer (NSCLC) patients (pts) at three oncology units in the north of Italy between January 2020 and December 2022. We focused on the clinical characterization and outcomes of NSCLC with rare molecular alterations: EGFR exon 20 insertion, non-activating EGFR mutations, BRAF V600E and non-V600, ROS1 and RET rearrangements, MET, ErbB2, and FGFR mutations. Overall, these represented 6.4% (62/970) of the pts analysed with NGS in the daily practice. The most heavily represented rare alterations were ROS1 rearrangement (15 pts-24%) and MET exon 14 skipping mutation (11 pts-18%). No associations were found with the demographic and clinical features. Forty-nine pts received targeted therapies, of which 38.8% were first- and 9.8% were second-line. The remaining pts received chemotherapy and/or immunotherapy. In terms of the clinical outcomes, although not statistically significant, a tendency toward shorter OS was seen when therapies other than specific targeted therapies were used (HR: 1.84, 95% CI: 0.79-4.33, p = 0.158). The pts with co-mutations (19.4%) seemed to receive an advantage from the front-line chemotherapy-based regimen. Finally, an NLR score (a well-known inflammatory index) ≥ 4 seemed to be related to shorter OS among the pts treated with immunotherapy alone or in combination with chemotherapy (HR: 2.83, 95% CI: 1.08-7.40, p = 0.033). Prospective evaluations need to be performed to clarify whether these indexes may help to identify patients with oncogene-addicted NSCLC who could benefit from immunotherapy.

Choline metabolism reprogramming mediates an immunosuppressive microenvironment in non-small cell lung cancer (NSCLC) by promoting tumor-associated macrophage functional polarization and endothelial cell proliferation

IntroductionLung cancer is a prevalent malignancy globally, and immunotherapy has revolutionized its treatment. However, resistance to immunotherapy remains a challenge. Abnormal cholinesterase (ChE) activity and choline metabolism are associated with tumor oncogenesis, progression, and poor prognosis in multiple cancers. Yet, the precise mechanism underlying the relationship between ChE, choline metabolism and tumor immune microenvironment in lung cancer, and the response and resistance of immunotherapy still unclear.MethodsFirstly, 277 advanced non-small cell lung cancer (NSCLC) patients receiving first-line immunotherapy in Sun Yat-sen University Cancer Center were enrolled in the study. Pretreatment and the alteration of ChE after 2 courses of immunotherapy and survival outcomes were collected. Kaplan–Meier survival and cox regression analysis were performed, and nomogram was conducted to identify the prognostic and predicted values. Secondly, choline metabolism-related genes were screened using Cox regression, and a prognostic model was constructed. Functional enrichment analysis and immune microenvironment analysis were also conducted. Lastly, to gain further insights into potential mechanisms, single-cell analysis was performed.ResultsFirstly, baseline high level ChE and the elevation of ChE after immunotherapy were significantly associated with better survival outcomes for advanced NSCLC. Constructed nomogram based on the significant variables from the multivariate Cox analysis performed well in discrimination and calibration. Secondly, 4 choline metabolism-related genes (MTHFD1, PDGFB, PIK3R3, CHKB) were screened and developed a risk signature that was found to be related to a poorer prognosis. Further analysis revealed that the choline metabolism-related genes signature was associated with immunosuppressive tumor microenvironment, immune escape and metabolic reprogramming. scRNA-seq showed that MTHFD1 was specifically distributed in tumor-associated macrophages (TAMs), mediating the differentiation and immunosuppressive functions of macrophages, which may potentially impact endothelial cell proliferation and tumor angiogenesis.ConclusionOur study highlights the discovery of ChE as a prognostic marker in advanced NSCLC, suggesting its potential for identifying patients who may benefit from immunotherapy. Additionally, we developed a prognostic signature based on choline metabolism-related genes, revealing the correlation with the immunosuppressive microenvironment and uncovering the role of MTHFD1 in macrophage differentiation and endothelial cell proliferation, providing insights into the intricate workings of choline metabolism in NSCLC pathogenesis.

Area-based disparities in non-small-cell lung cancer survival.

In the Nordic countries, universal healthcare access has been effective in reducing socioeconomic disparities in non-small-cell lung cancer (NSCLC) management. However, other factors, such as proximity to healthcare facilities, may still affect access to care. This study aimed at investigating the influence of residential area on NSCLC survival. This population-based study utilized hospital records to identify NSCLC patients who underwent their initial treatment at Vaasa Central Hospital between January 1, 2016, and December 31, 2020. Patients were categorized based on their postal codes into urban areas (≤50 km from the hospital) and rural areas (>50 km from the hospital). Survival rates between these two groups were compared using Cox regression analysis. A total of 321 patients were included in the study. Patients residing in rural areas (n = 104) exhibited poorer 12-month survival rates compared to their urban counterparts (n = 217) (unadjusted Hazard Ratio [HR]: 1.38; 95% Confidence Interval [CI]: 1.01-1.89; p = 0.042). After adjusting for factors such as performance status, frailty, and stage at diagnosis in a multivariate Cox regression model, the adjusted HR increased to 1.47 (95% CI: 1.07-2.01; p = 0.017) for patients living in rural areas compared to those in urban areas. The study findings indicate that the distance to the hospital is associated with increased lung cancer mortality. This suggests that geographical proximity may play a crucial role in the disparities observed in NSCLC survival rates. Addressing these disparities should involve strategies aimed at improving healthcare accessibility, particularly for patients residing in rural areas, to enhance NSCLC outcomes and reduce mortality.

CD146 Promotes EMT-Mediated Migration and Invasion of NSCLC via PI3K/Akt Signaling Pathway.

Recurrence and metastasis are the main causes of non-small cell lung cancer (NSCLC)-related death. CD146 has been identified as a potential risk factor for poor prognosis, closely related to the distant metastasis and drug resistance in various cancers. However, the clinical significance of CD146 in NSCLC requires further investigation. This study explored the correlation between CD146 expression and clinical variables using tumor tissue samples collected from our hospital. CD146 expression levels in NSCLC cell lines and tissues were assessed and compared using immunohistochemistry, real-time polymerase chain reaction (RT-qPCR), flow cytometry, and western blot analysis. The invasion and migration capabilities of tumor cells were determined using transwell and wound healing assays. The levels of proteins related to epithelial-mesenchymal transition (EMT) as well as the underlying PI3K/Akt signaling pathway was measured by western blotting. We discovered that CD146 expression is significantly associated with the EMT signaling pathway. High CD146 expression predicted lymph node metastasis, metastasis to distant organs, advanced Tumor, Node, Metastasis (TNM) staging, and poor survival in NSCLC patients. Wound healing and transwell assays showed that knocking down CD146 significantly suppressed cell migration along with cell invasion in NSCLC, whereas overexpressing CD146 notably enhanced these processes. Western blot analysis revealed significantly reduced levels of N-cadherin, vimentin, snail, twist, PI3K, and AKT phosphorylation in shCD146 H460 cells compared to vector control cells. Treatment with PI3K inhibitor PI3K-IN-1 increased E-cadherin expression levels but reduced N-cadherin, Twist, Vimentin, PI3K, and AKT phosphorylation levels in pcDNA3.1-CD146 A549 cells compared with the vector control cells. CD146 expression acts as a prognostic risk factor for adverse outcomes in NSCLC, promoting invasion and metastasis by activating the EMT through the PI3K/Akt signaling pathway. These findings underscore the potential therapeutic strategies targeting CD146, offering new treatment options for NSCLC patients, especially those at risk of metastasis.

Cancer-associated fibroblasts expressing fibroblast activation protein and podoplanin in non-small cell lung cancer predict poor clinical outcome.

Cancer-associated fibroblasts (CAFs) are a dominant cell type in the stroma of non-small cell lung cancer (NSCLC). Fibroblast heterogeneity reflects subpopulations of CAFs, which can influence prognosis and treatment efficacy. We describe the subtypes of CAFs in NSCLC. Primary human NSCLC resections were assessed by flow cytometry and multiplex immunofluorescence for markers of fibroblast activation which allowed identification of CAF subsets. Survival data were analysed for our NSCLC cohort consisting of 163 patients to understand prognostic significance of CAF subsets. We identified five CAF populations, termed CAF S1-S5. CAF-S5 represents a previously undescribed population, and express FAP and PDPN but lack the myofibroblast marker αSMA, whereas CAF-S1 populations express all three. CAF-S5 are spatially further from tumour regions then CAF-S1 and scRNA data demonstrate an inflammatory phenotype. The presence of CAF-S1 or CAF-S5 is correlated to worse survival outcome in NSCLC, despite curative resection, highlighting the prognostic importance of CAF subtypes in NSCLC. TCGA data suggest the predominance of CAF-S5 has a poor prognosis across several cancer types. This study describes the fibroblast heterogeneity in NSCLC and the prognostic importance of the novel CAF-S5 subset where its presence correlates to worse survival outcome.

A review of perioperative treatment strategies with immunotherapy and tyrosine kinase inhibitors in resectable and stage IIIA-N2 non-small cell lung cancer.

Stage IIIA-N2 non-small cell lung cancer (NSCLC) is a heterogeneous group with different potential therapeutic approaches. Treatment is typically multimodal with either surgical resection after neoadjuvant chemotherapy and/or radiation or concurrent chemotherapy and radiation if unresectable. Despite the multimodal treatment and early stage, cure rates have traditionally been low. The introduction of immunotherapy changed the treatment landscape for NSCLC in all stages, and the introduction of immunotherapy in early-stage lung cancer has improved event free survival and overall survival. Tyrosine Kinase inhibitors (TKIs) have also improved outcomes in early-stage mutation-driven NSCLC. Optimal treatment choice and sequence is increasingly becoming based upon personalized factors including clinical characteristics, comorbidities, programmed death-ligand 1 (PD-L1) score, and the presence of targetable mutations. Despite encouraging data from multiple trials, the optimal multimodal sequence of stage IIIA-N2 NSCLC treatment remains unresolved and warrants further investigation. This review article summarizes recent major clinical trials of neoadjuvant and adjuvant treatment including stage IIIA-N2 NSCLC with a focus on immunotherapy and TKIs.

Abstract 6391: Spatial proteomic profiling unveils pre-existing anti-tumor immunity as a hallmark of exceptional benefit from immunotherapy in NSCLC

Abstract Background: Immunotherapy is firmly established as a treatment regimen in various solid tumors due to its exceptional benefits observed in a select group of patients. Despite widespread use of immune checkpoint blockade (ICB) across diverse solid tumors, including non-small cell lung cancer (NSCLC), the quest for a clinically informative biomarker for long-term benefit remains unmet. Here we investigate the potential utility of clinicopathological and spatial proteomic profiling of tumor specimens from NSCLC patients to identify predictive biomarkers of long-term benefit to ICB. Methods: Forty-nine patients diagnosed with advanced NSCLC who received ICB at Hospital del Mar, Barcelona between 2017-2021 were included. Long-term responders (LTR, n=21) were defined as patients achieving a maintained radiologic response for more than 2 years, and short-term responders (STR, n=28) as patients presenting disease progression within the first six months of ICB initiation. Clinicopathological information, incidence of immune related adverse (irAES) and PD-L1 tumor proportion score assessed by IHC was available for all of them. DSP GeoMx was performed in subset of patients (LTR n=14 and STR n=14), to assess 49 immune biomarkers. Pancytokeratin (panCK; epithelial), CD3, CD20 and SYTO 13 (nuclear) were utilized as morphology biomarkers. Regions of interest were placed in tissue areas containing tumor and segmented in Tumor (PanCK+) and tumor microenvironment (TME) (PanCK-) that was used on downstream analysis. Digital counts were normalized using the protein expression of housekeeper proteins. Statistical analysis was performed using linear mixed models. A P value less than 0.05 was considered significant. Results: Our analysis revealed specific characteristics of LTR patients compared with STR, namely LTR population was enriched for PD-L1 positive in tumors (p=0.005) and a higher incidence of immune-related adverse events (irAEs) (p=0.001). Within the Tumor compartment, LTR patients displayed significantly higher levels of IDO1, CD8, PD-L1, CD45, HLA-DR and STING, while STR patients exhibit higher levels of B7-H3, CD56 and OX40L (p<0.05 for all proteins). Comparison analysis of the TME compartment between LTR and STR revealed augmented levels of IDO1, CD8, CD45, CD11c, CD27 and CD3 in LTR patients, and lower levels of B7H3 and OX40L compared with STR patients (p<0.05 for all proteins). Conclusions: Our comprehensive analysis of metastatic NSCLC patients treated with ICB has unveiled distinct clinicopathological and immunological features associated with long-term benefit of ICB, highlighting the presence of pre-existing antitumor immunity as a stronger predictor of long-term benefit. These findings offer insights into potential biomarkers and therapeutic strategies for enhancing ICB outcomes in metastatic NSCLC. Citation Format: Sharia Hernandez, Rafael Bach, Mario Giner, Wei Lu, Larisa Kostousov, Sean Barnes, Khaja Khan, Laura Masfarré, Xavier Villanueva, Ignacio Sanchéz, Nil Navarro, Álvaro Taus, Miguel Galindo, Max Hardy, Raúl Del Rey-Vergara, Albert Iñañez, Beatriz Sanchez-Espiridion, Laura Moliner, Sergi Clavé, Beatriz Bellosillo, Ana Rovira, Júlia Perera-Bel, Ignacio Wistuba, Edurne Arriola, Luisa M. Solis, Pedro Rocha. Spatial proteomic profiling unveils pre-existing anti-tumor immunity as a hallmark of exceptional benefit from immunotherapy in NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6391.

Abstract 4170: Artificial intelligence (AI)-based multi-modal approach using H&E and CT image for predicting treatment response of immune checkpoint inhibitor (ICI) in non-small cell lung cancer (NSCLC)

Abstract Background: Previously, AI-powered spatial tumor-infiltrating lymphocyte analysis in H&E whole-slide image (WSI) showed promising performance in predicting ICI outcomes. However, there were several innate limitations of tissue analysis, including the time lag between tissue biopsy and actual ICI administration, during which tumor microenvironment (TME) has changed, and analyzing a part of a single tumor tissue would not fully assess immunogenicity of multiple metastatic tumors. To overcome the challenges, we developed multiple-instance learning (MIL)-based models and applied them to predict the treatment response of ICI in a real-world dataset. Method: MIL-based models were trained under the cross-validation scheme for CT scans (N=456) separately, based on CT image analyzers. Lunit SCOPE IO (Lunit, South Korea), an AI-based H&E WSI analyzer, identifies various classes of cells within TME and segments tumor regions from WSI (AI-HE-TIL). An AI-based CT image analyzer detects nodules on the CT image (AI-CT). The final ensemble score per patient is computed by the average of all model predictions from CT and pathology image inputs. Single and ensemble performances for predicting responder and non-responder patients to ICI are measured in an independent cohort of 208 NSCLC patients. Results: In the overall cohort, the AUROC values for AI-HE-TIL, AI-CT, and the ensemble were 0.6372, 0.6759, and 0.7307, respectively. The high ensemble score group (≥ median) has prolonged progression-free survival (PFS) of ICI (median PFS 5.0 months vs 2.1 months, hazard ratio [HR] 0.54, P < 0.0001). It correlates with PD-L1 expression, as tumor proportion score (TPS) ≥ 50% subgroup had higher ensemble score (median 0.312 vs 0.257, P = 0.0295). Interestingly, among TPS ≥ 50% subgroup, the high ensemble score shows significantly favorable PFS of ICI (median PFS 6.7 months vs 2.9 months, HR 0.46, P = 0.0002). In subgroup analysis according to tissue harvest site (primary tumor vs lymph node or distant metastasis), the AUROC values of AI-HE-TIL and AI-CT for the subgroup harvested from the primary tumor (N=111) were 0.6568 and 0.6658, respectively, and those for the subgroup harvested from the metastatic lesion (N=97) were 0.6162 and 0.6973, respectively, implying AI-CT is relatively not affected by tissue harvest site. Conclusion: AI-powered multi-modal approach of using H&E image and CT image shows complimentary, and synergistic effect to predict ICI clinical outcomes in advanced NSCLC, even in the subgroup of PD-L1 high population. Citation Format: Dong Young Jeong, Jongchan Park, Heon Song, Jimin Moon, Taebum Lee, Changho Ahn, Sehhoon Park, Se-Hoon Lee, Chan-Young Ock, Ho Yun Lee. Artificial intelligence (AI)-based multi-modal approach using H&E and CT image for predicting treatment response of immune checkpoint inhibitor (ICI) in non-small cell lung cancer (NSCLC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4170.

Chidamide improves gefitinib treatment outcomes in NSCLC by attenuating recruitment and immunosuppressive function of myeloid-derived suppressor cells

Clinical resistance to EGFR tyrosine kinase inhibitors in non-small-cell lung cancer (NSCLC) remains a significant challenge. Recent studies have indicated that the number of myeloid-derived suppressor cells (MDSCs) increases following gefitinib treatment, correlating with a poor patient response in NSCLC. Our study revealed that gefitinib treatment stimulates the production of CCL2, which subsequently enhances monocyte (M)-MDSC migration to tumor sites. Chidamide, a selective inhibitor of the histone deacetylase subtype, counteracted the gefitinib-induced increase in CCL2 levels in tumor cells. Additionally, chidamide down-regulated the expression of CCR2 in M-MDSCs, inhibiting their migration. Furthermore, chidamide attenuated the immunosuppressive function of M-MDSCs both alone and in combination with gefitinib. Chidamide also alleviated tumor immunosuppression by reducing the number of M-MDSCs in LLC-bearing mice, thereby enhancing the antitumor efficacy of gefitinib. In conclusion, our findings suggest that chidamide can improve gefitinib treatment outcomes, indicating that MDSCs are promising targets in NSCLC.

The efficacy and safety of adding anlotinib in gradual progression on third-generation EGFR-TKIs for EGFR-mutant advanced nonsmall cell lung cancer.

Acquired resistance is unavoidable with the approval of third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) for first-line therapy of advanced non small cell lung cancer (NSCLC). Some studies have found that combining antiangiogenesis medicines with EGFR-TKI may benefit clinical outcomes in EGFR-mutant NSCLC. However, it is unclear whether EGFR-TKI paired with antiangiogenesis therapy could further improve survival for patients with gradual progression. Thus, we comprised the clinical effectiveness and safety of continuous EGFR-TKI in combination with anlotinib and EGFR-TKI alone in patients who had gradual progression on third-generation EGFR-TKI treatment. The comparison of progression-free survival (PFS) and overall survival(OS) between two groups used the Kaplan-Meier method. Our study comprised 121 eligible patients in total. The objective response rates were 25.0% and 0%, and the disease response rate was 91.7% and 86.9% in the combination group and EGFR-TKIs monotherapy group. The median PFS of combined anlotinib and EGFR-TKI treatment was 6.7 months and the median PFS was 3.6 months in the EGFR-TKI monotherapy group ( P < 0.001). There were no significant differences between the two groups in OS. The common adverse reactions were diarrhea (21.7%), hypertension (21.6%) and proteinuria (20.0%) in the combination group. Seven patients experienced a grade 3 or higher adverse event, no patients discounted the treatment or died due to the toxicity. Our study indicated that, when combined with anlotinib following gradual progression on EGFR-TKIs, it was more efficacious for EGFR-mutant NSCLC patients than EGFR-TKI monotherapy. And the toxicity was clinically manageable.

An Update on the Treatment Strategy for Non-Small Cell Lung Cancer: A Current Scenario and Future Perspective

Abstract: Non-small cell lung cancer (NSCLC) is a ubiquitous form of lung cancer. Most patients already have metastasis at the time of diagnosis. Chemotherapy and radiotherapy are widely used to treat the early stages of NSCLC, but cancer relapses are common, and the mortality rate is also high. Hence, there is a definite need for newer and advanced therapies to control the recurrence and metastasis of NSCLC. Many clinical trials are underway, which could improve the current treatment options. Targeted therapy and immunotherapies are increasingly developing to expand the overall survival rate of NSCLC patients. Yet, the continuous mutation in the tumor site, drug resistance, adverse effects, and tumor recurrence pose several challenges to the efficacy of the treatment. Many drugs in phase I and II clinical trials prove significant effectiveness against NSCLC mutations. Combination therapy has shown enhanced progression-free and overall survival rates when compared to monotherapy. Recently, FDA-approved genetically engineered patients’ immune cells and chimeric antigen receptors (CAR) improved T-cells for the treatment of malignancies. This review emphasizes the recent development in the treatment regimen and strategy used for improving the outcomes of NSCLC.

Patient-reported outcomes in advanced NSCLC before and during the COVID-19 pandemic: Real-world data from the German prospective CRISP Registry (AIO-TRK-0315).

Patients with lung cancer under treatment have been associated with a high risk of COVID-19 infection and potentially worse outcome, but real-world data on patient-reported outcomes (PROs) are rare. We assess patients' characteristics and PROs before and during the COVID-19 pandemic in an advanced non-small cell lung cancer (NSCLC) cohort in Germany. Patients with locally advanced or metastatic NSCLC from the prospective, multicentre, observational CRISP Registry (NCT02622581) were categorised as pre-pandemic (March 2019 to Feb 2020, n = 1621) and pandemic (March 2020 to Feb 2021, n = 1317). From baseline to month 15, patients' health-related quality of life (HRQoL) was assessed by FACT-L, anxiety and depression by PHQ-4. Association of pandemic status with time to deterioration (TTD) in QoL scales adjusted for potential covariates was estimated using Cox modelling. PROs were documented for 1166 patients (72%) in the pre-pandemic, 979 (74%) in the pandemic group. Almost 60% of patients were male, median age was 66 years, comorbidities occurred in 85%. Regarding HRQoL, mean-change-from-baseline plots hardly differed between both samples. Approximately 15%-21% of patients reported anxiety, about 19%-27% signs of depression. For the pandemic group, TTD was slightly, but statistically significantly, worse for the physical well-being-FACT-G subscale (HR 1.15 [95%CI 1.02-1.30]) and the anxiety-GAD-2 subscale (HR 1.14 [95%CI 1.01-1.29]). These prospectively collected real-world data provide valuable insights into PROs before and during the COVID-19 pandemic in advanced NSCLC. For the patients, the pandemic seemed to be less of a burden than the disease itself, as there was a considerable proportion of patients with anxiety and depression in both groups.

Disease prognosis and therapeutic strategies in patients with advanced non-small cell lung cancer (NSCLC): a 6-year epidemiological study between 2015-2021.

Lung cancer is the top cause of mortality in males and the second largest cause of cancer-related fatalities in women worldwide. Non-small cell lung cancer (NSCLC) cases are discovered at an advanced stage, raising major challenges in disease management and survival outcomes. This study aimed to investigate the clinical findings and management of stage IIIB and IV NSCLC patients for better decision-making, disease management, and understanding of this fatal disease. In this cohort study of 340 patients, a total of 140 (41.2%) were diagnosed with advanced-stage NSCLC at a mean age of 64 years. The electronic data of patients from 2015 to 2021 who met the inclusion criteria were retrieved from two tertiary hospitals in Riyadh, Saudi Arabia, and an Excel sheet was used to record the variables. Patients' data including all categorical variables such as gender, stage, metastasis, ALK, EGFR, and ROS, etc., and continuous variables such as age and body mass index (BMI) were retrieved and analyzed. The multivariate Cox-regression model indicated that smoking was the significant risk factor of death for two-thirds of male smokers (37.9%), with a median survival time of 123 days. Disease progression was higher with pleural and brain metastasis, and localized metastasis was the highest in 75% of patients. The intent of treatment was mainly palliative, however, a statistically significant association was found with the simultaneous use of chemotherapy and immunotherapy. Patients' response to first-line treatment revealed a significant improvement if chemotherapy treatment was maintained at the same dose without interruption of dosage. The overall cure and survival rates for NSCLC remain low, particularly in metastatic disease. Therefore, continued research into new drugs and combination therapies is required for better decision-making to expand the clinical benefit to a broader patient population and to improve outcomes in NSCLC.

Impact of adjuvant chemotherapy on patients with stage IB non-small cell lung cancer with visceral pleural invasion.

Adjuvant chemotherapy has reduced the risk of recurrence and death in stage IB non-small cell lung cancer (NSCLC) with high-risk factors; however, the impact of visceral pleural invasion (VPI) on outcomes in stage IB NSCLC treated with adjuvant chemotherapy remains controversial. The aim of this study was to explore the clinical and prognostic significance of adjuvant chemotherapy for stage IB (1-4 cm) NSCLC with VPI. This retrospective study included 251 patients admitted between January 2008 and May 2018 from four hospitals who underwent complete resection for Tumor-Node-Metastasis (TNM) 8th edition stage IB NSCLC with VPI. The relationship between adjuvant chemotherapy and overall survival (OS) or recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and Cox proportional hazards model. Of 251 patients with stage IB NSCLC with VPI, 122 (48.6%) received adjuvant chemotherapy after surgical resection and 129 (51.4%) were placed under observation. Multivariable analysis showed that adjuvant chemotherapy was an independent predictor of RFS [adjusted hazard ratio (aHR), 0.57; 95% confidence interval (CI): 0.33-0.96; P=0.036]. A micropapillary pattern (aHR, 2.46; 95% CI: 1.33-4.55; P=0.004) and lymphovascular invasion (aHR, 2.86; 95% CI: 1.49-5.48; P=0.002) were associated with a higher risk of recurrence. Multivariable analysis also showed that adjuvant chemotherapy was an independent predictor of OS (aHR, 0.22; 95% CI: 0.09-0.58; P=0.002). In a subgroup analysis of patients with a tumor size of 1-3 cm, adjuvant chemotherapy was associated with improved RFS and OS, and this association was maintained even when patients with VPI had additional risk factors. Our study shows that adjuvant chemotherapy is appropriate for patients with stage IB (1-4 cm) NSCLC with VPI, and even those with smaller tumors (1-3 cm).

Association of area-level mortgage denial and guideline-concordant non-small-cell lung cancer care and outcomes in the United States.

Racial and socioeconomic disparities in receipt of care for non-small-cell lung cancer (NSCLC) are well described. However, no previous studies have evaluated the association between mortgage denial rates and receipt of timely and guideline-concordant care for NSCLC and patient outcomes. We identified individuals ≥18 years diagnosed with NSCLC between 2014 and 2019 from the National Cancer Database. Using the Home Mortgage Disclosure Act database, we calculated the proportion of denied home loans to total loans at the zip-code level and categorized them into quintiles. Our outcomes included receipt of guideline-concordant care based on clinical and pathologic stage at diagnosis and the National Comprehensive Cancer Network guidelines, time from surgery to chemotherapy initiation, and overall survival. Of the 629,288 individuals diagnosed with NSCLC (median age 69; IQR 61-76 years, 49.1% female), 47.8% did not receive guideline-concordant care. Residing in areas with higher mortgage denial rates and lower income was associated with worse guideline-concordant care overall (aRR = 1.28; 95% CI = 1.25-1.32) and for each cancer treatment modality, worse receipt of timely chemotherapy (aHR = 1.14; 95% CI = 1.11-1.17) and worse overall survival (aHR = 1.21; 95% CI = 1.19-1.22), compared with residing in areas with the lowest mortgage denial rate and highest income. Area-level mortgage denial rate was associated with worse receipt of timely and guideline-concordant NSCLC care and survival. This highlights the critical need to understand and address systemic practices, such as mortgage denial, that limit access to resources and are associated with worse access to quality cancer care and outcomes.

Anoikis-related CTNND1 is associated with immuno-suppressive tumor microenvironment and predicts unfavorable immunotherapeutic outcome in non-small cell lung cancer.

Background: Immunotherapy has greatly changed the treatment of advanced non-small cell lung cancer (NSCLC). Anoikis is a programmed cell death process associated with cancer. However, the correlation between anoikis-related genes and the tumor microenvironment (TME) features and immunotherapeutic outcome in NSCLC has not been fully explored. Methods: The bulk and single-cell transcriptome data of NSCLC were downloaded from TCGA and GEO databases. The distribution of anoikis-related genes on different cell types at the single-cell level was analyzed, and these genes specifically expressed by tumor cells and immunotherapy-related were further extracted. Next, the candidate gene CTNND1 was identified and its correlations with the TME features and immunotherapeutic outcome in NSCLC were explored in multiple public cohorts. Finally, an in-house cohort was used to determine the CTNND1 expression and immuno-correlation in NSCLC. Results: At single-cell atlas, we found that anoikis-related genes expressed specifically in tumor cells of NSCLC. By intersecting anoikis-related genes, immunotherapy-associated genes, and the genes expressed in tumor cells, we obtained a special biomarker CTNND1. In addition, cell-cell communication analysis revealed that CTNND1+ tumor cells communicated with immune subpopulations frequently. Moreover, we found that high expression of CTNND1 was related to immuno-suppressive status of NSCLC. The expression of CTNND1 and its immuno-correlation were also validated, and the results showed that CTNND1 was highly expressed in NSCLC tissues and tumors with high CTNND1 expression accompanied with low CD8+ T cells infiltration. Conclusions: Overall, our study reported that CTNND1 can be considered as a novel biomarker for the predication of immunotherapeutic responses and a potential target for NSCLC therapy.

Long-term treatment results of pembrolizumab monotherapy: reconsideration of immune checkpoint inhibitor monotherapy.

The extended outcomes of the KEYNOTE-024 study demonstrated a favorable 5-year overall survival (OS) rate of 31.9%. The present study investigated the outcomes of pembrolizumab monotherapy for advanced or recurrent non-small cell lung cancer (NSCLC) at our institution. The long-term outcomes of 102 patients with advanced or recurrent NSCLC treated with pembrolizumab monotherapy between March 2017 and December 2022 were retrospectively assessed. This study included a total of 102 patients [mean age: 72 ± 9.6 years (range: 41-91 years), male/female=77/25; performance status (PS; 0, 1, 2, 3, 4)=49/38/15/0/0; smokers=91 (89%), non-squamous cell carcinoma/squamous cell carcinoma=66/36, PD-L1 tumor proportion score (TPS) ≥50%/1-49%=80/22, positive for EGFR mutation=5, advanced/postoperative recurrence=51/51, treatment line: first/second or later=81/21, treatment courses: median 8 (range: 1-39), objective response rate/disease control rate=44%/55%, immune-related adverse events (irAEs): 47, 5-year OS=34%]. On univariate analysis, PS, PD-L1 TPS, and irAEs were significant prognostic factors. On multivariate analysis, histology, PD-L1 TPS, and irAEs were significant prognostic factors. Pembrolizumab monotherapy demonstrated promising treatment outcomes for advanced or recurrent NSCLC, as evidenced by the significant association of PD-L1 TPS with irAEs and prognosis, suggesting its potential as a beneficial therapeutic option.

Roles of tissue-resident immune cells in immunotherapy of non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is the most common and lethal type of lung cancer, with limited treatment options and poor prognosis. Immunotherapy offers hope for improving the survival and quality of life of NSCLC patients, but its efficacy depends on the tumor immune microenvironment (TME). Tissue-resident immune cells are a subset of immune cells that reside in various tissues and organs, and play an important role in fighting tumors. In NSCLC, tissue-resident immune cells are heterogeneous in their distribution, phenotype, and function, and can either promote or inhibit tumor progression and response to immunotherapy. In this review, we summarize the current understanding on the characteristics, interactions, and roles of tissue-resident immune cells in NSCLC. We also discuss the potential applications of tissue-resident immune cells in NSCLC immunotherapy, including immune checkpoint inhibitors (ICIs), other immunomodulatory agents, and personalized cell-based therapies. We highlight the challenges and opportunities for developing targeted therapies for tissue-resident immune cells and optimizing existing immunotherapeutic approaches for NSCLC patients. We propose that tissue-resident immune cells are a key determinant of NSCLC outcome and immunotherapy response, and warrant further investigation in future research.

Lobe-specific lymph node sampling is associated with lower risk of cancer recurrence

ObjectiveAdequate intraoperative lymph node (LN) assessment is a critical component of early-stage non–small cell lung cancer (NSCLC) resection. The National Comprehensive Cancer Network and the American College of Surgeons Commission on Cancer (CoC) recommend station-based sampling minimums agnostic to tumor location. Other institutions advocate for lobe-specific LN sampling strategies that consider the anatomic likelihood of LN metastases. We examined the relationship between lobe-specific LN assessment and long-term outcomes using a robust, highly curated cohort of stage I NSCLC patients. MethodsWe performed a cohort study using a uniquely compiled dataset from the Veterans Health Administration and manually abstracted data from operative and pathology reports for patients with clinical stage I NSCLC (2006-2016). For simplicity in comparison, we included patients who had right upper lobe (RUL) or left upper lobe (LUL) tumors. Based on modified European Society of Thoracic Surgeons guidelines, lobe-specific sampling was defined for RUL tumors (stations 2, 4, 7, and 10 or 11) and LUL tumors (stations 5 or 6, 7, and 10 or 11). Our primary outcome was the risk of cancer recurrence, as assessed by Fine and Gray competing risks modeling. Secondary outcomes included overall survival (OS) and pathologic upstaging. Analyses were adjusted for relevant patient, disease, and treatment variables. ResultsOur study included 3534 patients with RUL tumors and 2667 patients with LUL tumors. Of these, 277 patients (7.8%) with RUL tumors and 621 patients (23.2%) with LUL tumors met lobe-specific assessment criteria. Comparatively, 34.7% of patients met the criteria for count-based assessment, and 25.8% met the criteria for station-based sampling (ie, any 3 N2 stations and 1 N1 station). Adherence to lobe-specific assessment was associated with lower cumulative incidence of recurrence (adjusted hazard ratio [aHR], 0.83; 95% confidence interval [CI], 0.70-0.98) and a higher likelihood of pathologic upstaging (aHR, 1.49; 95% CI, 1.20-1.86). Lobe-specific assessment was not associated with OS. ConclusionsAdherence to intraoperative LN sampling guidelines is low. Lobe-specific assessment is associated with superior outcomes in early-stage NSCLC. Quality metrics that assess adherence to intraoperative LN sampling, such as the CoC Operative Standards manual, also should consider lobe-specific criteria.