Proteome-Wide Multicenter Mendelian Randomization Analysis to Identify Novel Therapeutic Targets for Lung Cancer.

INTRODUCTION: Lung cancer (LC) remains a leading cause of cancer mortality worldwide, underscoring the urgent need for novel therapeutic targets. The integration of Mendelian randomization (MR) with proteomic data presents a novel approach to identifying potential targets for LC treatment. METHODS: This study utilized a proteome-wide MR analysis, leveraging publicly available data from genome-wide association studies (GWAS) and protein quantitative trait loci (pQTL) studies. We analyzed genetic association data for LC from the TRICL-ILCCO Consortium and proteomic data from the Decode cohort. The MR framework was employed to estimate the causal effects of specific proteins on LC risk, supplemented by external validation, co-localization analyses, and exploration of protein-protein interaction (PPI) networks. RESULTS: Our analysis identified five proteins (TFPI, ICAM5, SFTPB, COL6A3, EPHB1) with significant associations to LC risk. External validation confirmed the potential therapeutic relevance of ICAM5 and SFTPB. Co-localization analyses and PPI network exploration provided further insights into the biological pathways involved and their potential mechanistic roles in LC pathogenesis. CONCLUSION: The study highlights the power of integrating genomic and proteomic data through MR analysis to uncover novel therapeutic targets for lung cancer. The identified proteins, particularly ICAM5 and SFTPB, offer promising directions for future research and development of targeted therapies, demonstrating the potential to advance personalized medicine in lung cancer treatment.

Career adaptability among new oncology nurses: A longitudinal exploration.

AIM: This study aims to explore the longitudinal predictive effect of self-awareness on career adaptability in new nurses at a tumor specialty hospital and the mediating mechanisms of work readiness and transition shock. BACKGROUND: Career adaptability is crucial for the personal development of nurses and also intricately linked to the retention rates among newcomers in oncology nursing. Inadequate career adaptability contributes to higher turnover, which in turn exacerbates the shortage of qualified nursing personnel in this field. There is a pressing need for dedicated research and interventions that support new nurses, especially in specialized areas like oncology, to promote their well-being and career advancement. Comprehending these challenges is essential for devising effective strategies that will retain nursing talent and ensure the sustainability of a robust healthcare workforce. METHODS: Longitudinal data from four follow-up surveys were collected from 248 new clinical nurses at the National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College. Mediation analyses using R 4.1.2 were conducted to examine the pathways between self-awareness, work readiness, transition shock, and career adaptability. CONCLUSIONS: Self-awareness not only directly predicts career adaptability but also influences it through the bidirectional and chained mediating pathways of work readiness and transition shock. IMPLICATIONS FOR NURSING AND HEALTH POLICY: These findings equip nursing managers with flexible strategies to foster and enhance nurses' career adaptability, providing targeted support as nurses assimilate into their clinical roles. This not only strengthens workforce stability but also mitigates turnover, ultimately reinforcing the healthcare workforce.

The impact of open access on citations, Pageviews, and downloads: a scientometric analysis in Postgraduate Medical Journal.

PURPOSE: The influence of Open Access (OA) on the citation impact of scholarly articles remains a topic of considerable debate. This study aims to elucidate the relationship between OA publication and citation metrics, as well as article visibility, within the context of the Postgraduate Medical Journal (PMJ). METHODS: We conducted a retrospective analysis of 373 articles published in PMJ between 2020 and 2021. Data on OA status, citations, page views, PDF downloads, and other relevant variables were extracted from Journal Citation Reports and PMJ's official website. Multivariable linear regression and other statistical analyses were used to assess the impact of OA on these metrics. RESULTS: OA articles (n = 78) demonstrated significantly higher citation counts, page views, and PDF downloads compared with subscription-based articles (n = 295). Specifically, OA articles showed a significant increase in citation frequency with a ß coefficient of 25.08 and a 95% CI of 17.168-32.992 (P < .001). Similarly, OA status was independently associated with increases in page views [ß = 288.636, 95%CI: 177.749-399.524, P < .001] and PDF downloads [ß = 118.966, 95%CI: 86.357-151.575, P < .001]. Strong correlations among total citations, page views, and PDF downloads were observed in both OA and subscription articles. CONCLUSION: The study highlights a significant and independent association of OA publishing with increased citation counts, page views, and PDF downloads in PMJ, suggesting that OA articles have broader reach and greater visibility. Further research, including randomized controlled studies across various journals, is needed to confirm these findings and explore the full impact of OA publishing.

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.

Pathological response and tumor stroma immunogenic features predict long-term survival in non-small cell lung cancer after neoadjuvant chemotherapy.

PURPOSE: Major pathological response (MPR) has become a surrogate endpoint for overall survival (OS) in non-small cell lung cancer (NSCLC) after neoadjuvant therapy, however, the prognostic histologic features and optimal N descriptor after neoadjuvant therapy are poorly defined. METHODS: We retrospectively analyzed data from 368 NSCLC patients who underwent surgery after neoadjuvant chemotherapy (NAC) from January 2010 to December 2020. The percentage of residual viable tumors in the primary tumor, lymph nodes (LN), and inflammation components within the tumor stroma were comprehensively reviewed. The primary endpoint was OS. RESULTS: Of the 368 enrolled patients, 12.0% (44/368) achieved MPR in the primary tumor, which was associated with significantly better OS (HR, 0.36 0.17-0.77, p = 0.008) and DFS (HR = 0.59, 0.36-0.92, p = 0.038). In patients who did not have an MPR, we identified an immune-activated phenotype in primary tumors, characterized by intense tumor-infiltrating lymphocyte or multinucleated giant cell infiltration, that was associated with similar OS and DFS as patients who had MPR. Neoadjuvant pathologic grade (NPG), consisting of MPR and immune-activated phenotype, identified 30.7% (113/368) patients that derived significant OS (HR 0.28, 0.17-0.46, p < 0.001) and DFS (HR 0.44, 0.31-0.61, p < 0.001) benefit from NAC. Moreover, the combination of NPG and the number of positive LN stations (nS) in the multivariate analysis had a higher C-index (0.711 vs. 0.663, p < 0.001) than the ypTNM Stage when examining OS. CONCLUSION: NPG integrated with nS can provide a simple, practical, and robust approach that may allow for better stratification of patients when evaluating neoadjuvant chemotherapy in clinical practice.

Proposed novel grading system for stage I invasive lung adenocarcinoma and a comparison with the 2020 IASLC grading system.

BACKGROUND: Several studies have proposed grading systems for risk stratification of early-stage lung adenocarcinoma based on histological patterns. However, the reproducibility of these systems is poor in clinical practice, indicating the need to develop a new grading system which is easy to apply and has high accuracy in prognostic stratification of patients. METHODS: Patients with stage I invasive nonmucinous lung adenocarcinoma were retrospectively collected from pathology archives between 2009 and 2016. The patients were divided into a training and validation set at a 6:4 ratio. Histological features associated with patient outcomes (overall survival [OS] and progression-free survival [PFS]) identified in the training set were used to construct a new grading system. The newly proposed system was validated using the validation set. Survival differences between subgroups were assessed using the log-rank test. The prognostic performance of the novel grading system was compared with two previously proposed systems using the concordance index. RESULTS: A total of 539 patients were included in this study. Using a multioutcome decision tree model, four pathological factors, including the presence of tumor spread through air space (STAS) and the percentage of lepidic, micropapillary and solid subtype components, were selected for the proposed grading system. Patients were accordingly classified into three groups: low, medium, and high risk. The high-risk group showed a 5-year OS of 52.4% compared to 89.9% and 97.5% in the medium and low-risk groups, respectively. The 5-year PFS of patients in the high-risk group was 38.1% compared to 61.7% and 90.9% in the medium and low-risk groups, respectively. Similar results were observed in the subgroup analysis. Additionally, our proposed grading system provided superior prognostic stratification compared to the other two systems with a higher concordance index. CONCLUSION: The newly proposed grading system based on four pathological factors (presence of STAS, and percentage of lepidic, micropapillary, and solid subtypes) exhibits high accuracy and good reproducibility in the prognostic stratification of stage I lung adenocarcinoma patients.

New perspectives on cancer clinical research in the era of big data and machine learning.

In the 21st century, the development of medical science has entered the era of big data, and machine learning has become an essential tool for mining medical big data. The establishment of the SEER database has provided a wealth of epidemiological data for cancer clinical research, and the number of studies based on SEER and machine learning has been growing in recent years. This article reviews recent research based on SEER and machine learning and finds that the current focus of such studies is primarily on the development and validation of models using machine learning algorithms, with the main directions being lymph node metastasis prediction, distant metastasis prediction, and prognosis-related research. Compared to traditional models, machine learning algorithms have the advantage of stronger adaptability, but also suffer from disadvantages such as overfitting and poor interpretability, which need to be weighed in practical applications. At present, machine learning algorithms, as the foundation of artificial intelligence, have just begun to emerge in the field of cancer clinical research. The future development of oncology will enter a more precise era of cancer research, characterized by larger data, higher dimensions, and more frequent information exchange. Machine learning is bound to shine brightly in this field.

Effects of burnout and work engagement in the relationship between self-efficacy and safety behaviours-A chained mediation modelling analysis.

AIMS: To explore the current situation, influencing factors and pathways of safety behaviour of nurses in tumour specialized hospitals, in order to provide a theoretical basis for managers to manage and train nurses, improve their safety behaviour level and ensure medical safety. DESIGN: An anonymous cross-sectional survey. METHOD: A total of 2147 nurses from Grade A cancer hospitals in 15 provinces of China were selected by a convenient sampling method. Questionnaires were collected through the Questionnaire Star platform. Nurses' safety behaviour was measured using the nurse Safety Behaviour Scale, Self-efficacy by the General Self-efficacy Scale, and nurses' occupational burnout was measured by the occupational Burnout Scale, and work engagement through the the Work Engagement Scale. Structural equation modelling was used to test the relationship among nurses' safety behaviour, general self-efficacy, occupational burnout and work engagement. SPSS25.0 software was used to test the relationship among the safety behaviour of nurses, general self-efficacy, occupational burnout and work engagement. RESULTS: The total score of safety behaviour of nurses was 55.45 ± 6.879, the total score of general self-efficacy was 31.39 ± 5.729, the total score of occupational burnout was 44.99 ± 26.587, and the total score of work engagement was 38.48 ± 13.433; the scores of the Nurse Safety Behaviour Scale, Self-Efficacy Scale, and Work Engagement Scale were positively correlated (all p < .001); the occupational burnout scale was negatively correlated with the scores of self-efficacy scale, work engagement scale and nurse safety behaviour scale (all p < .001); Structural equation model analysis shows that self-efficacy and work engagement have a direct positive impact on nurse safety behaviour(ß = .103, ß = .096, all p < .001); Occupational burnout has a direct negative impact on self-efficacy, work engagement and nurse safety behaviour(ß = -.371, ß = -.413, ß = -.328 all p < .001). Bootstrap analysis showed that occupational burnout and job involvement had a significant chain mediating effect between self-efficacy and the safety behaviour of nurses (95% CI: 0.148-0.21). The total effect of self-efficacy on the safety behaviour of nurses was 0.283 (p < .001, 95% CI: 0.225-0.301), the direct effect was 0.096 (p < .001, 95% CI: 0.042-0.15), and the indirect effect was 0.179 (p < .001, 95% CI: 0.085-0.215), The mediating effect accounted for 63.3% of the total effect size. CONCLUSION: Occupational burnout and work engagement play a partial mediating role between self-efficacy and nurse safety behaviour. It is necessary to strengthen training on nurse safety culture awareness, improve the nurse self-efficacy and work engagement, reduce nurse occupational burnout, and thereby improve the level of nurses' safety behaviour.

Screening microRNAs as potential prognostic biomarkers for lung adenocarcinoma.

OBJECTIVE: To screen and identify microRNAs (miRNAs) associated with the prognosis of lung adenocarcinoma (LUAD) using clinical samples and construct a prediction model for the prognosis of LUAD. METHODS: 160 patient samples were used to screen and identify miRNAs associated with the prognosis of LUAD. Differentially expressed miRNAs were analyzed using gene chip technology. The selected miRNAs were validated using samples from the validation sample group. Cox proportional hazards regression was used to construct the model and Kaplan-Meier was used to plot survival curves. Model power was assessed by testing the prognosis of the constructed model using real-time polymerase chain reaction (RT-PCR) data. RESULTS: The data showed that miR-1260b, miR-21-3p and miR-92a-3p were highly expressed in the early recurrence and metastasis group, while miR-2467-3p, miR-4659a-3p, miR-4514, miR-1471 and miR-3621 were lowly expressed. It was further confirmed that miR-21-3p was significantly highly expressed in the early recurrence and metastasis group (p = 0.02). Receiver operating characteristic (ROC) curve results showed cut-off point value of 0.0172, sensitivity of 88.2% and specificity of 100%. The predictive results of the constructed model were in good agreement with the actual prognosis of patients by using the validation sample test (Kappa = 0.426, p < 0.001), with a model sensitivity of 74.4%, a specificity of 68.3%, and an accuracy of 71.3%. CONCLUSION: miRNAs associated with the prognosis of patients with stage I LUAD were screened and validated, and a risk model for predicting the prognosis of patients was constructed. This model has good consistency with the actual prognosis of patients.

Nomograms for intraoperative prediction of lymph node metastasis in clinical stage IA lung adenocarcinoma.

BACKGROUND: Accurate prediction of lymph node metastasis (LNM) is critical for selecting optimal surgical procedures in early-stage lung adenocarcinoma (LUAD). This study aimed to develop nomograms for intraoperative prediction of LNM in clinical stage IA LUAD. METHODS: A total of 1227 patients with clinical stage IA LUADs on computed tomography (CT) were enrolled to construct and validate nomograms for predicting LNM (LNM nomogram) and mediastinal LNM (LNM-N2 nomogram). Recurrence-free survival (RFS) and overall survival (OS) were compared between limited mediastinal lymphadenectomy (LML) and systematic mediastinal lymphadenectomy (SML) in the high- and low-risk groups for LNM-N2, respectively. RESULTS: Three variables were incorporated into the LNM nomogram and the LNM-N2 nomogram, including preoperative serum carcinoembryonic antigen (CEA) level, CT appearance, and tumor size. The LNM nomogram showed good discriminatory performance, with C-indexes of 0.879 (95% CI, 0.847-0.911) and 0.880 (95% CI, 0.834-0.926) in the development and validation cohorts, respectively. The C-indexes of the LNM-N2 nomogram were 0.812 (95% CI, 0.766-0.858) and 0.822 (95% CI, 0.762-0.882) in the development and validation cohorts, respectively. LML and SML had similar survival outcomes among patients with low risk of LNM-N2 (5-year RFS, 88.1% vs. 89.5%, Pp = 0.790; 5-year OS, 96.0% vs. 93.0%, p = 0.370). However, for patients with high risk of LNM-N2, LML was associated with worse survival (5-year RFS, 64.0% vs. 77.4%, p = 0.036; 5-year OS, 66.0% vs. 85.9%, p = 0.038). CONCLUSIONS: We developed and validated nomograms to predict LNM and LNM-N2 intraoperatively in patients with clinical stage IA LUAD on CT. These nomograms may help surgeons to select optimal surgical procedures.

Efficacy, Safety, and Biomarker Analysis of Neoadjuvant Camrelizumab and Apatinib in Patients With Resectable NSCLC: A Phase 2 Clinical Trial.

INTRODUCTION: Camrelizumab (an anti-programmed cell death protein-1 antibody) combined with apatinib (an antiangiogenic agent) has conferred benefits for advanced NSCLC. We aimed to assess the activity and safety of neoadjuvant camrelizumab plus apatinib in patients with resectable NSCLC. METHODS: In this phase 2 trial, patients with histologically confirmed resectable stages IIA to IIIB NSCLC (stage IIIB, T3N2 only) received intravenous camrelizumab (200 mg) every 2 weeks for three cycles and oral apatinib (250 mg) once daily for 5 days followed by 2 days off for 6 weeks. Surgery was planned 3 to 4 weeks after apatinib discontinuation. The primary end point was major pathologic response (MPR) rate, assessed in patients who received at least one dose of neoadjuvant treatment and underwent surgery. RESULTS: Between November 9, 2020, and February 16, 2022, 78 patients were treated and 65 (83%) underwent surgery. All 65 patients achieved an R0 surgical resection. Among the 65 patients, 37 (57%, 95% confidence interval [CI]: 44%-69%) had an MPR, of whom 15 (23%, 95% CI: 14%-35%) had a pathologic complete response (pCR). Pathologic responses observed in squamous cell NSCLC were superior to adenocarcinoma (MPR: 64% versus 25%; pCR: 28% versus 0%). The radiographic objective response rate was 52% (95% CI: 40%-65%). Among all the 78 enrolled patients, 37 (47%, 95% CI: 36%-59%) had an MPR, of whom 15 (19%, 95% CI: 11%-30%) had a pCR. Four (5%) of 78 patients had grade 3 neoadjuvant treatment-related adverse events. No grade 4 or 5 treatment-related adverse events occurred. Receiver operating characteristic analysis revealed a significant correlation between the maximum reduction of standard uptake values and pathologic response (R = 0.619, p < 0.0001). In addition, baseline programmed death-ligand 1 expression, HOXA9 and SEPT9 methylation levels, and circulating tumor DNA status before surgery were associated with pathologic responses. CONCLUSIONS: Neoadjuvant camrelizumab plus apatinib was found to have promising activity and manageable toxicity in patients with resectable stages IIA to IIIB NSCLC, which might be a potential therapeutic option in neoadjuvant setting.

Multi-omics analysis unravels the underlying mechanisms of poor prognosis and differential therapeutic responses of solid predominant lung adenocarcinoma.

Background: Solid predominant adenocarcinoma (SPA) has been reported to be a subtype with poor prognosis and unsatisfactory response to chemotherapy and targeted therapy in lung adenocarcinoma (LUAD). However, the underlying mechanisms remain largely unknown and the suitability of immunotherapy for SPA has not been investigated. Methods: We conducted a multi-omics analysis of 1078 untreated LUAD patients with clinicopathologic, genomic, transcriptomic, and proteomic data from both public and internal cohorts to determine the underlying mechanisms of poor prognosis and differential therapeutic responses of SPA and to investigate the potential of immunotherapy for SPA. The suitability of immunotherapy for SPA was further confirmed in a cohort of LUAD patients who received neoadjuvant immunotherapy in our center. Results: Along with its aggressive clinicopathologic behaviors, SPA had significantly higher tumor mutation burden (TMB) and number of pathways altered, lower TTF-1 and Napsin-A expression, higher proliferation score and a more immunoresistant microenvironment than non-solid predominant adenocarcinoma (Non-SPA), accounting for its worse prognosis. Additionally, SPA had significantly lower frequency of therapeutically targetable driver mutations and higher frequency of EGFR/TP53 co-mutation which was related to resistance to EGFR tyrosine kinase inhibitors, indicating a lower potential for targeted therapy. Meanwhile, SPA was enriched for molecular features associated with poor response to chemotherapy (higher chemoresistence signature score, lower chemotherapy response signature score, hypoxic microenvironment, and higher frequency of TP53 mutation). Instead, muti-omics profiling revealed that SPA had stronger immunogenicity and was enriched for positive biomarkers for immunotherapy (higher TMB and T cell receptor diversity; higher PD-L1 expression and more immune cell infiltration; higher frequency of gene mutations predicting efficacious immunotherapy, and elevated expression of immunotherapy-related gene signatures). Furthermore, in the cohort of LUAD patients who received neoadjuvant immunotherapy, SPA had higher pathological regression rates than Non-SPA and patients with major pathological response were enriched in SPA, confirming that SPA was more prone to respond to immunotherapy. Conclusions: Compared with Non-SPA, SPA was enriched for molecular features associated with poor prognosis, unsatisfactory response to chemotherapy and targeted therapy, and good response to immunotherapy, indicating more suitability for immunotherapy while less suitability for chemotherapy and targeted therapy.

Risk and prognosis of secondary thoracic cancers after radiation therapy for esophageal cancer.

BACKGROUND AND AIM: Radiation therapy (RT) is a crucial modality for the local control of esophageal cancer (EC), but the effect of RT on the development of secondary thoracic malignancies is still unclear. This study aims to identify the association between RT for the treatment of primary EC and subsequent secondary thoracic cancer (STC). METHODS: The primary EC patients were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Fine-Gray competing risk regression and standardized incidence ratio (SIR) were used to evaluate the radiotherapy-associated cancer risk. Overall survival (OS) was compared by Kaplan-Meier analysis. RESULTS: A total of 40 255 EC patients from the SEER database were identified, of which 17 055 patients (42.37%) did not receive radiotherapy (NRT) and 23 200 patients (57.63%) had been treated with RT. After 12 months of latency, 162 patients (0.95%) in the NRT group and 272 patients (1.17%) in the RT group developed STC. The incidences of the RT group were significantly higher than the NRT group. Patients who have primary EC were at an increased risk of developing STC (SIR = 1.79, 95% CI: 1.63-1.96). The SIR of STC was 1.37 (95% CI: 1.16-1.60) in the NRT group and 2.10 (95% CI: 1.87-2.34) in the RT group. The OS of STC patients in the RT group was significantly lower than the NRT group (P = 0.006). CONCLUSION: The RT for primary EC was associated with higher risks of developing STC than patients unexposed to radiotherapy. The EC patients treated with RT, especially young patients, require long-term monitoring of the risk of STC.

MARCKSL1 interacted with F-actin to promote esophageal squamous cell carcinoma mobility by modulating the formation of invadopodia.

BACKGROUND: Emerging evidence indicates that myristoylated alanine-rich C kinase substrate like 1 (MARCKSL1) is involved in the progression of esophageal squamous cell carcinoma (ESCC). However, the underpinning mechanism is unclear. Here, we investigated the mechanisms involving MARCKSL1 in ESCC progression. METHODS: CCK8, Transwell and wound-healing assays were employed to test the effect of MARCKSL1 on proliferation, invasion and migration in vitro. Next, transcriptome profiling was conducted through RNA sequencing to reveal the underlying mechanism of MARCKSL1 in ESCC progression, which was subsequently verified by western blot and qPCR analysis. Moreover, immunofluorescence and gelatin degradation assays were performed to reveal the ability of MARCKSL1 to mediate invadopodia formation and extracellular matrix (ECM) degradation. Finally, the correlation between MARCKSL1 and the clinicopathological features of ESCC patients was assessed based on TCGA database analysis and immunohistochemistry staining of tissue microarrays. RESULTS: Knockdown of MARCKSL1 markedly attenuated the cell motility capacity of ESCC cells in vitro, while MARCKSL1 overexpression had the opposite effect. Transcriptomic analysis showed that MARCKSL1 mediated the mobility and migration of ESCC cells. In addition, overexpression of MARCKSL1 increased the colocalization of F-actin and cortactin at the frontier edge of migrating cells and ECM degradation. Furthermore, in ESCC patients, the mRNA level of MARCKSL1 in esophageal carcinomas (n = 182) was found to be notably higher than that in adjacent esophageal epithelia (n = 286) and the expression levels of MARCKSL1 in the tumor tissues (n = 811) were significantly increased compared to those in noncancerous esophageal tissues (n = 442) with a large sample size. Higher expression of MARCKSL1 was positively correlated with lymph node metastasis and associated with worse survival rates of patients with ESCC. CONCLUSION: MARCKSL1 promotes cell migration and invasion by interacting with F-actin and cortactin to regulate invadopodia formation and ECM degeneration. High MARCKSL1 expression is positively correlated with poor prognosis in ESCC patients with lymph node metastasis.

Clinical characteristics and prognostic factors of pulmonary sarcomatoid carcinoma.

Background: Pulmonary sarcomatoid carcinoma (PSC) is a kind of rare lung cancer. We aim to analyze the clinical characteristics and prognostic factors of patients with PSC. Methods: From January 1, 2006 to December 31, 2015, 119 patients in the Cancer Hospital Chinese Academy of Medical Sciences were diagnosed with PSC, and they received treatment. We retrospectively collected information on gender, age, body mass index (BMI), symptoms, family history, smoking history, tumor size, tumor location, tumor diameter, tumor-node-metastasis (TNM), pathological type, and other factors to analyze the relationship between these factors and 1-, 3-, 5-year, and overall survival (OS). Results: Male patients who had a smoking history (n=76) comprised the main group of PSC. Median patient age was 60.67±10.50 years (range, 26-89 years). The majority of these patients (n=82) presented with respiratory symptoms. The median survival of patients who died of PSC was 11.87 months (6.38-21.48 months). The 1-, 3-, and 5-year survival rates were 61.3%, 34.5%, and 31.9%, respectively. Patients with a lower T stage and without lymph node metastasis and distant metastasis had a better OS (P<0.05). Other clinical characteristics and the difference in treatments did not influence the prognosis significantly (P>0.05). Conclusions: PSC is a rare malignant neoplasm of the lung with poor prognosis. Surgery is a major therapeutic method for this disease entity. TNM-stage is the main factors affecting prognosis.

Applying post-neoadjuvant pathologic stage as prognostic tool in esophageal squamous cell carcinoma.

Background: It is still uncertain whether the newly released eighth American Joint Committee on Cancer (AJCC) post-neoadjuvant pathologic (yp) tumor-node-metastasis (TNM) stage for esophageal carcinoma can perform well regarding patient stratification. The current study aimed to assess the prognostication ability of the eighth AJCC ypTNM staging system and attempted to explore how to facilitate the staging system for more effective evaluation of prognosis. Materials and methods: A total of 486 patients treated with neoadjuvant radiotherapy/chemoradiotherapy (nRT/CRT) were enrolled. ypN stage was reclassified by recursive partitioning. Prognostic performance, monotonicity, homogeneity, and discriminatory of yp and modified yp (myp) staging systems were assessed by time-dependent receiver operating characteristic (ROC), linear trend log-rank test, likelihood ratio χ2 test, Harrell's c statistic, and Akaike information criterion (AIC). Results: The ypT stage, ypN stage, and pathologic response were significant prognostic factors of overall survival. Survival was not discriminated well using the eighth AJCC ypN stage and ypTNM stage. Recursive partitioning reclassified mypN0-N2 as metastasis in 0, 1-2, and ≥3 regional lymph nodes. Applying the ypT stage, mypN stage, and pathologic response to construct the myp staging system, the myp stage performed better in time-dependent ROC, linear trend log-rank test, likelihood ratio χ2 test, Harrell's c statistic, and AIC. Conclusions: The eighth AJCC ypTNM staging system performed well in differentiating prognosis to some extent. By reclassifying the ypN stage and enrolling pathologic response as a staging element, the myp staging system holds significant potential for prognostic discrimination.

Effect of histology on the efficacy of immune checkpoint inhibitors in advanced non-small cell lung cancer: A systematic review and meta-analysis.

Background: Little is known about the effect of histology on the efficacy of immune checkpoint inhibitors (ICI) in non-small-cell lung cancer (NSCLC). We conducted a systematic review and meta-analysis to assess the potential differences in the efficacy of ICIs between squamous NSCLC (SQ-NSCLC) and non-squamous NSCLC (non-SQ-NSCLC). Methods: Systematic searches of PubMed, Embase, Scopus, and Cochrane Library databases were conducted. All randomized clinical trials of ICIs with available hazard ratios (HR) for progression-free survival (PFS) or overall survival (OS) according to histology were included. The primary endpoint was to assess the difference in the efficacy of ICIs between SQ-NSCLC and non-SQ-NSCLC, measured by the ratio of the HR in SQ-NSCLC to the HR in non-SQ-NSCLC (RHR). Results: A total of 40 trials were included in the meta-analysis. ICI monotherapy could improve OS in both SQ-NSCLC (OS-HR 0.71, 95% CI 0.65-0.77) and non-SQ-NSCLC (OS-HR 0.80, 95% CI 0.73-0.87) while OS benefit was larger in SQ-NSCLC (OS-RHR 0.89, 95% CI 0.80-0.99). In terms of PFS, ICI monotherapy could reduce the risk of progression by 35% (PFS-HR 0.65, 95% CI 0.56-0.77) in SQ-NSCLC while the PFS benefit was smaller (10%) and not statistically significant in non-SQ-NSCLC (PFS-HR 0.90, 95% CI 0.76-1.07). Similarly, ICI-based combination treatments could reduce the risk of both progression and death in SQ-NSCLC (OS-HR 0.70, 95% CI 0.61-0.80; PFS-HR 0.56, 95% CI 0.48-0.65) and non-SQ-NSCLC (OS-HR 0.78, 95% CI 0.74-0.83; PFS-HR 0.63, 95% CI 0.57-0.69) while the survival benefits were larger in SQ-NSCLC (OS-RHR 0.83, 95% CI 0.70-0.99; PFS-RHR 0.82, 95% CI 0.70-0.96). Conclusions: ICIs could deliver survival benefits in both SQ-NSCLC and non-SQ-NSCLC while the magnitude of survival benefits was histology-dependent. Future researches should consider the effect of histology on the efficacy of ICIs. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier [CRD42022299603].