Prognosis Of Small Cell Lung Cancer Research Articles

Tarlatamab-dlle: A New Hope for Patients with Extensive-Stage Small-Cell Lung Cancer.

Lung cancer is expected to contribute to about 0.234 million new cases and about 0.125 million mortalities in the United States in the year 2024. Small cell lung cancer (SCLC), a neuroendocrine carcinoma, has lesser prevalence but is more aggressive at an extensive stage where the tumor is not only confined to hemithorax, mediastinum, and supraclavicular region but spread beyond the supraclavicular region. The prognosis of SCLC, irrespective of the limited or extensive stage, is very poor. Only a 5-10% overall survival rate in five years is expected and with extensive-stage SCLC, long-term disease-free survival is rare. In May 2024, the USFDA approved Tarlatamab-dlle, a DLL3 targeted bi-specific T-cell engager, for treating extensive-stage SCLC in adult patients, on or after platinum-based chemotherapy or on progression. Before the approval of Tarlatamab-dlle, only a few drugs, such as Atezolizumab and Durvalumab, received FDA approval for treating extensive-stage SCLC. It might be possible that Tarlatamab-dlle received accelerated FDA approval for extensive-stage SCLC, leaving some questions unanswered at this stage. This manuscript is focused on clinical, pre-clinical, and other pharmacological aspects of Tarlatamab-dlle for extensive-stage SCLC.

Specific association of MTHFD1 expressions with small cell lung cancer development and chemoradiotherapy outcome.

To identify biomarkers that can discriminated small cell lung cancer (SCLC) from non-SCLC (NSCLC), and explore their association with the prognosis of SCLC under chemoradiotherapy. The GSE40275 dataset was used to identify potential targets in SCLC. There were 196 patients of lung cancer (LC) in cohort 1 of this study. MTHFD1 levels in tissues were determined by immunohistochemistry assay in cohort 1. Lung cancer patients who were all underwent local chemoradiotherapy (CRT) were included in cohort 2, and the association of MTHFD1 levels with CRT treatment outcome were determined in cohort 2. Cell experiments were used to determine the function of MTHFD1 on the radio-sensitivity of SCLC and NSCLC cells. The MTHFD1 levels in LC tissues were increased, and could discriminate SCLC from both lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD). Small cell lung cancer patients with MTHFD1 high phenotype had a poorer prognosis after CRT treatment, whereas no significant correlation was found between MTHFD1 levels and prognosis in LUSC and LUAD group. Cell experiments demonstrated that overexpression of MTHFD1 increases radio-resistance in both SCLC and NSCLC in vitro. MTHFD1 expressions might be a novel specifically prognostic biomarker for SCLC and the CRT treatment outcome.

The predictive value of delta-like3 and serum NSE in evaluating chemotherapy response and prognosis in patients with advanced small cell lung carcinoma: An observational study.

Lung cancer is one of the most malignant tumors with fastest morbidity and mortality. Small cell lung cancer (SCLC) is the most malignant pathological type of lung cancer with early metastasis and poor prognosis. At present, there is a lack of effective indicators to predict prognosis of SCLC patients. Delta-like 3 protein (DLL3) is selectively expressed on the surface of SCLC and is involved in proliferation and invasion. Neuron-specific enolase (NSE) is an enolase isoenzyme that is generally regarded as a biomarker for SCLC and may correlate with stage of SCLC, prognosis and chemotherapy response. NSE can be influenced by different types of factors. To explore the associations between expression levels of DLL3 in tumor tissues with platinum/etoposide chemotherapy response, and assess the prognostic values of DLL3, NSE and other potential prognostic factors in advanced SCLC patients were herein studied. Ninety-seven patients diagnosed with SCLC in Zhongda Hospital from 2014 to 2020 were enrolled in the study. Serum NSE levels were tested using ELISA methods before any treatment. The expression of DLL3 in tumor tissue was detected by Immunohistochemistry (IHC). We investigated the relationship of DLL3 expression with chemotherapy and survival. Progression free survival (PFS) and overall survival (OS) were estimated by the Kaplan-Meier method. Multivariate Cox-proportional hazard regression was used to identify predictors of PFS and OS. DLL3 was detected in 84.5% (82/97) of all patients' tumor samples by IHC, mainly located on the surface of SCLC cells. Lower DLL3 expression was associated with longer PFS and better chemotherapy response. OS had no significant differences. Multivariate analysis by Cox Hazard model showed that, high DLL3 expression and maximum tumor size >5 cm were independent risk factors for PFS, where NSE < 35 ng/mL and age < 70 were independent prognostic factors for OS. Early stage was independent prognostic factors for PFS and OS (P < .05 log-rank). DLL3 was expressed in the most of SCLCs. DLL3 expression level in the tumor and NSE level in the serum may be useful biomarkers to predict the prognosis of SCLC. DLL3 may be a potential therapeutic target for SCLC in the future.

Prognostic significance of pretreatment albumin–bilirubin (ALBI) grade and platelet–albumin–bilirubin (PALBI) grade in patients with small cell lung cancer

Small cell lung cancer (SCLC) is a common cancer among the world’s lung cancers. Despite advances in diagnosis and treatment, the prognosis is still poor. There is no effective biomarker other than stage in daily practice. However, in daily practice, patients may have different features and survival times even though they have the same stage. Previously, albumin–bilirubin (ALBI) grade, platelet–albumin–bilirubin (PALBI) grade were used to determine the prognosis of acute-chronic liver failure and acute upper gastrointestinal bleeding in liver cirrhosis. In subsequent studies, they were found to be associated with prognosis in hepatocellular carcinoma (HCC) and other solid cancers. However, the prognostic relationship between ALBI grade, PALBI grade, and SCLC is unknown. Therefore, we conducted this study to examine the relationship between ALBI grade and PALBI grade and prognosis in SCLC patients. Data of 138 patients with advanced SCLC at diagnosis between 2009 and 2020 were analyzed retrospectively. The results of the multivariate analysis were as follows: ALBI grade 1 vs 2, hazard ratio (HR) = 1.608, p = 0.002 for OS and HR = 1.575, p = 0.002 for PFS; ALBI grade 1 vs 3, HR = 2.035, p < 0.001 for OS and HR = 2.675, p < 0.001 for PFS; PALBI grade 1 vs 2, HR = 1.302, p = 0.006 for OS and HR = 1.674, p = 0.002 for PFS; and PALBI grade 1 vs 3, HR = 1.725, p < 0.001 for OS and HR = 2.675, p < 0.001 for PFS. In conclusion, the ALBI and PALBI grades were determined to be associated with the prognosis of SCLC, and they can be used as easy, inexpensive, and practical markers in determining the follow-up treatment and prognosis of SCLC patients.

GPNMB Expression Associates with Inferior Prognosis in Patients with Small Cell Lung Cancer.

Purpose: Small cell lung cancer (SCLC) is widely recognized for its propensity for early and frequent metastases, which contribute to its status as a refractory malignancy. While the high expression of GPNMB in SCLC is well-documented, the precise correlation between GPNMB expression and the prognosis of SCLC remains undetermined. Methods: HTG Edge-seq was used to screen the differential gene expression between primary SCLC lesions and paired metastatic lymph nodes (LN). The plasma concentration of GPNMB was measured using enzyme-linked immunosorbent assay (ELISA). The relationship between GPNMB concentration and clinical characteristics, as well as overall survival (OS) was assessed. One-to-one propensity score matching (PSM) was performed to reduce bias from confounding factors between groups. The invasive, migratory, proliferative, and apoptotic abilities of SCLC cells were evaluated using migration and matrigel invasion assays, CCK8 assay and flow cytometry respectively. Results: GPNMB exhibited a significant up-regulation in LN compared to primary SCLC lesions as determined by HTG Edge-seq. Furthermore, patients with extensive disease demonstrated a significantly elevated plasma GPNMB concentration compared to those with local disease (P = 0.043). Additionally, patients with a high baseline plasma GPNMB level exhibited a shorter OS (10.32 vs. 16.10 months, P = 0.0299). Following PSM analysis, the statistical significance of the difference between the two groups persisted (9.43 vs. 15.27 months, P = 0.0146). Notably, both univariate and multivariate analyses confirmed that higher expression of GPNMB served as an independent biomarker for OS before PSM (P = 0.033, HR = 2.304) and after PSM (P = 0.003, HR = 6.190). Additionally, our study revealed that the inhibition of GPNMB expression through the use of siRNA effectively diminished the metastatic and proliferative capabilities of SCLC. Furthermore, this inhibition resulted in an enhanced ability to induce apoptosis. Conclusions: In light of our findings, it can be inferred that the expression of GPNMB is linked to metastasis and an unfavorable prognosis, thus suggesting its potential as a novel therapeutic target in the treatment of SCLC.

Usefulness of baseline immature reticulocyte fraction to mature reticulocyte fraction ratio (IMR) as A prognostic predictor for patients with small cell lung cancer

BackgroundSmall cell lung cancer (SCLC) has a strong invasive ability and a high degree of malignancy, so accurate prognosis prediction is crucial for making the most favorable treatment decision.Unfortunately, there is a scarcity of prognostic indicators specific to SCLC. Reticulocyte levels in blood parameters have been linked to the prognosis of various malignancies. Given SCLC's aggressive characteristics, identifying reliable prognostic markers, such as reticulocyte counts, becomes pivotal in enhancing prognostic accuracy and guiding effective therapeutic strategies. ObjectiveThis study aimed to evaluate the predictive power of the immature reticulocyte fraction (IRF) to mature reticulocyte fraction (MRF) ratio (IMR) for survival outcomes in patients with SCLC. Materials and methodsA retrospective analysis was conducted on 192 patients with small cell lung cancer (SCLC). The median values of various prognostic indicators, such as IMR, IRF, MRF, reticulocyte count (RET), SII (systemic immune-inflammatory index), were utilized as cutoff points, categorizing patients into high and low groups. The Kaplan–Meier method, univariate, multivariate analyses Cox regression, and C-index were used to analyze the prognostic factors for overall survival (OS). ResultsIn our cohort, 138 (71.9 %) were male, 119 (62 %) were smokers, and 82 (57.3 %) were older than 60 years old. The median survival time was 18.15 months.Higher mortality was observed in the high IMR and high IRF groups, while the high MRF group exhibited lower mortality. At the same time, mortality was lower in the high MRF group. Univariate analysis showed that smoking history (P = 0.006), tumor stage (P = 0.002), chemotherapy cycle (P = 0.014), IMR (P = 0.01), and many other factors significantly affected the prognosis of SCLC. Multivariate analysis demonstrated that elevated IMR was an independent adverse predictor of OS (P = 0.039, HR = 0.330). Spearman test confirmed that the prognostic indicators IRF, IMR, and SII were positively correlated with the overall survival rate of patients with SCLC. Kaplan-Meier analysis showed that the OS rate of patients with high IMR was significantly worse (P = 0.0096). In addition, we found that IMR was superior to IRF in distinguishing patients with different outcomes in the low and high groups (P < 0.05). Our novel integration index, combining IMR with the TNM stage system and SII index, exhibited superior prognostic value compared to the original index. Additionally, the combination of prognostic indicators IMR and SII significantly stratified stage I-II SCLC patients (P ＜0.05). ConclusionsThe prognostic index based on peripheral blood IMR stands out as an independent predictor for SCLC patients pre-treatment. Its accessibility through routine blood analysis facilitates immediate clinical application without requiring prolonged scientific research validation. The integration of IMR with the TNM score enhances survival prediction and risk stratification. Notably, when combined with the SII score, the new IMR index demonstrates significant improvements in prognostication for stage I-II small cell lung cancer.

A retrospective analysis of prognostic factors and treatment choices in small cell lung cancer with liver metastasis.

Small cell lung cancer (SCLC) is characterized by high aggressiveness and early dissemination, with the liver being the most common site of metastasis. Although it has been established that the prognosis for SCLC with liver metastasis is exceedingly poor, comprehensive data on clinical features, prognostic factors, treatment options, and outcomes of this patient population remain limited. This retrospective study aims to examine the clinicopathological features and current treatment landscape and to identify prognostic factors associated with SCLC with liver metastasis in real-world settings. We conducted a retrospective analysis of data on SCLC patients with liver metastasis at initial diagnosis between January 1, 2013, and January 1, 2022. Kaplan-Meier analysis and log-rank tests were employed to estimate the overall survival (OS) and progression-free survival (PFS). Cox regression models were utilized to identify independent prognostic factors. A total of 349 patients were included in the study, with 97.7% of patients exhibiting pure SCLC and 42.4% of patients presenting with concomitant bone metastasis. Approximately one-fourth of the patients had metastases in ≥3 organs, and 18.9% of patients had an Eastern Cooperative Oncology Group performance status (ECOG PS) ≥2. The median OS was 10.97 months (95% CI: 9.88-12.06) for those who received first-line therapy (n=286). Of these, 263 patients were treated with chemotherapy, showing a median OS of 11.37 months. Furthermore, 43.8% of patients received second-line treatment, and 81 patients proceeded to third-line treatment. ECOG PS ≥2 and mixed-SCLC were identified as independent adverse prognostic factors in SCLC with liver metastasis, whereas treatments including systemic treatment alone or in combination with local radiotherapy were associated with better prognoses. This retrospective study substantiated that ECOG PS ≥2 and mixed SCLC are independent predictors of poor prognosis for SCLC with liver metastasis. Additionally, different treatment strategies can improve the survival of this patient population, with chemotherapy currently being the main treatment option.

Role of rs873601 Polymorphisms in Prognosis of Lung Cancer Patients Treated with Platinum-Based Chemotherapy.

Lung cancer is still the most lethal malignancy in the world, according to the report of Cancer Statistics in 2021. Platinum-based chemotherapy combined with immunotherapy is the first-line treatment in lung cancer patients. However, the 5-year survival rate is always affected by the adverse reactions and drug resistance caused by platinum-based chemotherapy. DNA damage and repair system is one of the important mechanisms that can affect the response to chemotherapy and clinical outcomes in lung cancer patients. The objective of this study is to find the relationship between the polymorphisms of DNA repair genes with the prognosis of platinum-based chemotherapy in lung cancer patients. We performed genotyping in 17 single nucleotide polymorphisms (SNPs) of Excision Repair Cross-Complementation group (ERCC) genes and X-ray Repair Cross-Complementing (XRCC) genes of 345 lung cancer patients via Sequenom MassARRAY. We used Cox proportional hazard models, state, and plink to analyze the associations between SNPs and the prognosis of lung cancer patients. We found that the ERCC5 rs873601 was associated with the overall survival time in lung cancer patients treated with platinum-based chemotherapy (p = 0.031). There were some polymorphisms that were related to the prognosis in specific subgroups of lung cancer. Rs873601 showed a great influence on the prognosis of patients more than 55 years, Small Cell Lung Cancer (SCLC), and smoking patients. Rs2444933 was associated with prognosis in age less than 55 years, SCLC, metastasis, and stage III/IV/ED patients. Rs3740051 played an important role in the prognosis of SCLC and metastasis patients. Rs1869641 was involved in the prognosis of SCLC patients. Rs1051685 was related to the prognosis in non-metastasis patients. The ERCC5 rs873601 (G>A) was a valuable biomarker for predicting the prognosis in lung cancer patients treated with platinum-based chemotherapy.

Advances in the role of circulating tumor cell heterogeneity in metastatic small cell lung cancer.

Small cell lung cancer (SCLC), a highly aggressive malignancy, is rapidly at an extensive stage once diagnosed and is one of the leading causes of death from malignancy. In the past decade, the treatment of SCLC has largely remained unchanged, and chemotherapy remains the cornerstone of SCLC treatment. The therapeutic value of adding immune checkpoint inhibitors to chemotherapy for SCLC is low, and only a few SCLC patients have shown a response to immune checkpoint inhibitors. Circulating tumor cells (CTCs) are tumor cells shed from solid tumor masses into the peripheral circulation and are key to tumor metastasis. Single-cell sequencing has revealed that the genetic profiles of individual CTCs are highly heterogeneous and contribute to the poor outcome and prognosis of SCLC patients. Theoretically, phenotypic analysis of CTCs may be able to predict the diagnostic significance of new potential targets for metastatic tumors. In this paper, we will discuss in depth the heterogeneity of CTCs in SCLC and the value of CTCs for the diagnosis and prognosis of SCLC and as relevant tumor markers in metastatic SCLC.

Prognostic value of pretreatment modified Glasgow Prognostic Score in small cell lung cancer: A meta-analysis.

The prognostic role of pretreatment modified Glasgow Prognostic Score (mGPS) in small cell lung cancer (SCLC) patients remains unclear now. The PubMed, EMBASE, Web of Science, and CNKI electronic databases were searched up to December 14, 2022. The primary and secondary outcomes were overall survival and progression-free survival, respectively. The hazard ratios (HRs) and 95% confidence intervals (CIs) were combined to assess the association between pretreatment mGPS and survival of SCLC patients. Subgroup analysis based on the country, tumor stage, treatment and comparison of mGPS were further conducted and all statistical analyses were performed by STATA 15.0 software. A total of ten retrospective studies involving 2831 SCLC patients were included. The pooled results demonstrated that elevated pretreatment mGPS was significantly related to poorer overall survival (HR = 1.90, 95% CI: 1.36-2.63, P < .001) and progression-free survival (HR = 1.40, 95% CI: 1.13-1.74, P = .002). Subgroup analysis stratified by the country, tumor stage, treatment and comparison of mGPS also showed similar results. Pretreatment mGPS was significantly associated with prognosis in SCLC and patients with elevated mGPS experienced obviously worse survival. Thus, pretreatment mGPS could serve as a novel and reliable prognostic indicator in SCLC patients.

The prognostic value of pretreatment albumin-to-fibrinogen ratio in small cell lung cancer patients receiving first-line platinum-based chemotherapy

This study examined the role of pretreatment albumin-to-fibrinogen ratio (AFR) in the prognosis of small-cell lung cancer (SCLC) patients receiving first-line platinum-based chemotherapy. A total of 131 SCLC patients were enrolled. The predictive value of the AFR for progression free survival (PFS) and overall survival (OS) were evaluated by receiver operating characteristic (ROC) curve analysis. The predictive factor of survival was assessed by univariate and multivariate Cox proportional regression analysis. The correlation between OS, PFS and AFR was determined by the log-rank test using the Kaplan-Meier method. AFR was an effective predictor of OS in SCLC patients with a cut-off value of 7.78. AFR was independent risk factors for OS and PFS. Kaplan Meier analysis showed that PFS and OS in patients with high AFR levels were significantly higher than those with low AFR levels. These results suggest that AFR could be an effective predictor of survival in patients with SCLC.

Survival of small-cell lung cancer patients after surgery: a single-center retrospective cohort study.

This study summarized and analyzed the clinical characteristics and prognosis of small-cell lung cancer (SCLC) patients after surgical treatment. The clinical data of 130 patients (99 males and 31 females) with SCLC treated by surgery and confirmed by postoperative pathological examination at Peking Union Medical College Hospital from April 2004 to April 2019 were retrospectively analyzed. Clinical characteristics, surgery, pathological stage, and perioperative treatment were summarized. Kaplan-Meier survival curve and Cox regression analysis were performed. Pathological examination revealed that 36 (27.69%) patients had stage I SCLC, 22 (16.92%) patients had stage II SCLC, 65 (50.00%) patients had stage III SCLC, and 7 (5.39%) patients had stage IV SCLC. The overall median survival time was 50 months (95% confidence interval, 10.8-89.2 months). The median survival time of stage I, II, III and IV SCLC patients was 148, 42, 32, and 10 months, respectively. In patients who underwent surgical treatment, postoperative adjuvant therapy and tumor stage were independent prognostic factors for survival (p < 0.05).Lobectomy and lymph nodes resection combined with adjuvant therapy were cautiously recommended for stage I-IIIa SCLC patients.

Identification of Six Novel Prognostic Gene Signatures as Potential Biomarkers in Small Cell Lung Cancer.

As a subgroup of lung cancer, small cell lung cancer (SCLC) is characterized by a short tumor doubling time, high rates of early occurred distant cancer spread and poor outcomes. Our study aimed to identify novel molecular markers associated with SCLC prognosis. Microarray data from the Gene Expression Omnibus (GEO) database of SCLC tumors and paired normal tissues were obtained. In the dataset, Differentially expressed genes (DEGs) which were identified by comparing gene expression between normal lung and SCLC samples, were screened using the R language. The STRING database was used to map protein-protein interaction (PPI) networks, and these were visualized with the Cytoscape software. Go enrichment analysis and prediction were performed using the Metascape database and the results were visualized. Autophagy-related prognostic genes were identified by univariate COX regression analysis. Subsequently, stepwise model selection using the Akaike information criterion (AIC) and multivariate COX regression model was performed to construct DEGs signature. Survival receiver operating characteristic (ROC) analysis was used to assess the performance of survival prediction. At last, we evaluated the differences in drug sensitivity of the two groups of patients to common chemotherapeutic drugs and small-molecule targeted drugs. A total of 441 identified DE genes, including 412 downregulated and 29 upregulated genes were identified. GO enrichment analyses showed that DEGs were significantly enriched in the collagen-containing extracellular matrix and extracellular matrix organization. 16 genes were individually associated with OS in univariate analyses. The high expression of 6 genes (HIST1H4L, RP11-16O9.2, SNORA71A, SELV, FAM66A and BRWD1-AS1)) was associated with the poor prognosis of SCLC patients. To predict patients' outcomes, we developed an individual's risk score model based on the 6 genes. We found that SCLC patients with a low-risk score had significantly better survival than those with a high-risk score. What's more, association analysis between clinicopathological factors and gene signature showed the risk score was higher in patients with higher clinical stage or T stage. What's more, the patients in the high-risk score group had better treatment effects for etoposide and docetaxel. This suggests that our model can guide clinical treatment decisions. A novel six-gene signature was determined for prognostic prediction in SCLC. Our findings may provide new insights into the precise treatment and prognosis prediction of SCLC.

Evaluating the diagnostic and prognostic value of serum TuM2-PK, NSE, and ProGRP in small cell lung cancer.

The aim of this study was to explore the diagnostic and prognostic value of serum tumor M2-pyruvate kinase (TuM2-PK), neuron-specific enolase (NSE), and progastrin-releasing peptide (ProGRP) levels in patients with small cell lung cancer (SCLC). The levels of serum TuM2-PK, NSE, and ProGRP in 102 patients with SCLC, 60 patients with benign lung disease (BLD), and 90 healthy controls were detected. The serum TuM2-PK, NSE, and ProGRP levels in the SCLC group were higher than those in BLD group (p < 0.05) and healthy control group (p < 0.05). The sensitivity of TuM2-PK, NSE, and ProGRP detection in SCLC was 82.35%, 60.78%, and 77.45% respectively, and specificity was 91.11%, 81.11%, and 86.67%, respectively. The area under the curve (AUC) of SCLC resulting from TuM2-PK was significantly better than that of NSE and ProGRP. The application of TuM2-PK combined with NSE and ProGRP improved the diagnostic yield of SCLC patients and had better diagnostic value than TuM2-PK alone. Univariate and multivariate analysis indicated that an elevated TuM2-PK level was an independent prognostic factor for shorter survival in SCLC. These results suggest that TuM2-PK levels in the serum could be an effective biomarker for the diagnosis and prognosis of SCLC.

Construction of the prognostic model for small-cell lung cancer based on inflammatory markers: A real-world study of 612 cases with eastern cooperative oncology group performance score 0-1.

This research aimed to explore the relationship between pre-treatment inflammatory markers and other clinical characteristics and the survival of small-cell lung cancer (SCLC) patients who received first-line platinum-based treatment and to construct nomograms for predicting overall survival (OS) and progression-free survival (PFS). A total of 612 patients diagnosed with SCLC between March 2008 and August 2021 were randomly divided into two cohorts: a training cohort (n=459) and a validation cohort (n=153). Inflammatory markers, clinicopathological factors, and follow-up information of patients were collected for each case. Cox regression was used to conduct univariate and multivariate analyses and the independent prognostic factors were adopted to develop the nomograms. Harrell's concordance index (C-index) and time-dependent receiver operating characteristic curve were used to verify model differentiation, calibration curve was used to verify consistency, and decision curve analysis was used to verify the clinical application value. Our results showed that baseline C-reactive protein/albumin ratio, neutrophil/lymphocyte ratio, NSE level, hyponatremia, the efficacy of first-line chemotherapy, and stage were independent prognostic factors for both OS and PFS in SCLC. In the training cohort, the C-index of PFS and OS was 0.698 and 0.666, respectively. In the validation cohort, the C-index of PFS and OS was 0.727 and 0.747, respectively. The nomograms showed good predictability and high clinical value. Also, our new clinical models were superior to the US Veterans Administration Lung Study Group (VALG) staging for predicting the prognosis of SCLC. The two prognostic nomograms of SCLC including inflammatory markers, VALG stage, and other clinicopathological factors had good predictive value and could individually assess the survival of patients.

Identification of Immune Infiltration and Prognostic Biomarkers in Small Cell Lung Cancer Based on Bioinformatic Methods from 3 Studies.

This study aimed to investigate the correlation between gene expression and immune cell infiltration and the overall survival rate in tumor tissues, which may contribute to the therapy and prognosis of small cell lung cancer (SCLC) patients. SCLC is the most aggressive type of lung neoplasm. There is no proper marker for the treatment and prediction of prognosis in SCLC. Three gene expression profiles of SCLC patients were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified between normal lung samples and SCLC lung samples. Functional enrichment analysis of all DEGs was performed to explore the linkage among DEGs, the tumor immune microenvironment, and SCLC tumorigenesis. The common genes among the 3 groups in the Venn diagram and hub genes in protein-protein interaction (PPI) networks were considered potential key genes in SCLC patients. The TIMER (tumor immune estimation resource) database calculation and Kaplan-Meier survival curves were used to investigate the association between potential key genes and immune infiltrate prognosis of SCLC patients. A total of 750 (top 250 from each study) differentially expressed genes (DEGs) were identified. CLDN18 and BRIP1 were significantly related to immune infiltration in the tumor microenvironment. SHCBP1 and KIF23 were related mostly to prognosis in SCLC patients. The present study may provide some potential biomarkers for the therapy and prognosis of SCLC.

Treatment patterns and outcomes among patients with small-cell lung cancer (SCLC) in Europe: a retrospective cohort study

ObjectiveDescribe characteristics, treatment patterns and clinical outcomes of patients with small-cell lung cancer (SCLC).DesignRetrospective chart review study defining several cohorts: (1) limited-stage disease (LD) SCLC initiating 1L therapy (1 L...

Integrative genomic profiling reveals characteristics of lymph node metastasis in small cell lung cancer.

Small cell lung cancer (SCLC) is the most aggressive lung cancer subtype, with more than 70% of patients having metastatic disease and a poor prognosis. However, no integrated multi-omics analysis has been performed to explore novel differentially expressed genes (DEGs) or significantly mutated genes (SMGs) associated with lymph node metastasis (LNM) in SCLC. In this study, whole-exome sequencing (WES) and RNA-sequencing were performed on tumor specimens to investigate the association between genomic and transcriptome alterations and LNM in SCLC patients with (N+, n=15) or without (N0, n=11) LNM. The results of WES revealed that the most common mutations occurred in TTN (85%) and TP53 (81%). The SMGs, including ZNF521, CDH10, ZNF429, POLE, and FAM135B, were associated with LNM. Cosmic signature analysis showed that mutation signatures 2, 4, and 7 were associated with LNM. Meanwhile, DEGs, including MAGEA4, FOXI3, RXFP2, and TRHDE, were found to be associated with LNM. Furthermore, we found that the messenger RNA (mRNA) levels of RB1 (P=0.0087), AFF3 (P=0.058), TDG (P=0.05), and ANKRD28 (P=0.042) were significantly correlated with copy number variants (CNVs), and ANKRD28 expression was consistently lower in N+ tumors than in N0 tumors. Further validation in cBioPortal revealed a significant correlation between LNM and poor prognosis in SCLC (P=0.014), although there was no significant correlation between LNM and overall survival (OS) in our cohort (P=0.75). To our knowledge, this is the first integrative genomics profiling of LNM in SCLC. Our findings are particularly important for early detection and the provision of reliable therapeutic targets.

Co-targeting BCL-XL and MCL-1 with DT2216 and AZD8055 synergistically inhibit small-cell lung cancer growth without causing on-target toxicities in mice

Small-cell lung cancer (SCLC) is an aggressive malignancy with limited therapeutic options. The dismal prognosis in SCLC is in part associated with an upregulation of BCL-2 family anti-apoptotic proteins, including BCL-XL and MCL-1. Unfortunately, the currently available inhibitors of BCL-2 family anti-apoptotic proteins, except BCL-2 inhibitors, are not clinically relevant because of various on-target toxicities. We, therefore, aimed to develop an effective and safe strategy targeting these anti-apoptotic proteins with DT2216 (our platelet-sparing BCL-XL degrader) and AZD8055 (an mTOR inhibitor) to avoid associated on-target toxicities while synergistically optimizing tumor response. Through BH3 mimetic screening, we identified a subset of SCLC cell lines that is co-dependent on BCL-XL and MCL-1. After screening inhibitors of selected tumorigenic pathways, we found that AZD8055 selectively downregulates MCL-1 in SCLC cells and its combination with DT2216 synergistically killed BCL-XL/MCL-1 co-dependent SCLC cells, but not normal cells. Mechanistically, the combination caused BCL-XL degradation and suppression of MCL-1 expression, and thus disrupted MCL-1 interaction with BIM leading to an enhanced apoptotic induction. In vivo, the DT2216 + AZD8055 combination significantly inhibited the growth of cell line-derived and patient-derived xenografts and reduced tumor burden accompanied by increased survival in a genetically engineered mouse model of SCLC without causing appreciable thrombocytopenia or other normal tissue injuries. Thus, these preclinical findings lay a strong foundation for future clinical studies to test DT2216 + mTOR inhibitor combinations in a subset of SCLC patients whose tumors are co-driven by BCL-XL and MCL-1.

UHRF1 plays an oncogenic role in small cell lung cancer.

Small cell lung cancer (SCLC) is a malignant tumor characterized by aggressiveness and dismal prognosis. The specific role of ubiquitin-like PHD and RING finger domain (UHRF1), a frequently overexpressed cancer-promoting gene in various tumors, is poorly understood in SCLC. Herein, we explored the potential carcinogenic role of UHRF1 in SCLC. First, public databases were used to analyze the expression of UHRF1 in SCLC, and tissue specimens in our center were examined to confirm the results while clinical outcomes were collected to analyze its relationship with UHRF1. Then, UHRF1 knockdown and overexpression cell lines were established to evaluate the carcinogenic function of UHRF1 in vitro and in vivo. The mechanism of the biological consequences was determined by co-inmunoprecipitation. Moreover, we also analyzed the influence of UHRF1 on cisplatin (DDP) sensitivity of SCLC. The expression of UHRF1 was significantly higher in SCLC tissues than in normal tissues, and high levels of UHRF1 suggested a poor prognosis for SCLC. Mechanistically, UHRF1 promoted SCLC growth through yes-associated protein 1 (YAP1). Specifically, UHRF1 bound to YAP1 and inhibited YAP1 ubiquitin degradation, thus stabilizing the YAP1 protein in SCLC cells. UHRF1 downregulation enhanced DDP sensitivity in SCLC cells and was correlated with a favorable prognosis in patients with SCLC treated with platinum-based chemotherapy. UHRF1 plays an oncogenic role in SCLC by modulating YAP1. Therefore, UHRF1 could be used as a biomarker to predict the prognosis of SCLC patients and serve as a potential therapeutic target for SCLC patients.