Genetic and phenotypic profiling of single living circulating tumor cells from patients with microfluidics.

Accurate prediction of the efficacy of immunotherapy for cancer patients through the characterization of both genetic and phenotypic heterogeneity in individual patient cells holds great promise in informing targeted treatments, and ultimately in improving care pathways and clinical outcomes. Here, we describe the nanoplatform for interrogating living cell host-gene and (micro-)environment (NICHE) relationships, that integrates micro- and nanofluidics to enable highly efficient capture of circulating tumor cells (CTCs) from blood samples. The platform uses a unique nanopore-enhanced electrodelivery system that efficiently and rapidly integrates stable multichannel fluorescence probes into living CTCs for in situ quantification of target gene expression, while on-chip coculturing of CTCs with immune cells allows for the real-time correlative quantification of their phenotypic heterogeneities in response to immune checkpoint inhibitors (ICI). The NICHE microfluidic device provides a unique ability to perform both gene expression and phenotypic analysis on the same single cells in situ, allowing us to generate a predictive index for screening patients who could benefit from ICI. This index, which simultaneously integrates the heterogeneity of single cellular responses for both gene expression and phenotype, was validated by clinically tracing 80 non-small cell lung cancer patients, demonstrating significantly higher AUC (area under the curve) (0.906) than current clinical reference for immunotherapy prediction.

Epidemiological characteristics of neuroendocrine neoplasms in Beijing: a population-based retrospective study.

BACKGROUND: The incidence of neuroendocrine neoplasms (NENs) is rising rapidly worldwide. However, there are few reports on these heterogeneous diseases in China. Our study aimed to explore the epidemiological characteristics of NENs in Beijing. METHODS: We conducted a retrospective cohort study using population-based cancer surveillance data in Beijing, China. All data were extracted from the Beijing Cancer Registry with incidence dates from 1 January 1998 to 31 December 2018; the follow-up period was through 31 December 2021. Segi's world standard population was used to estimate the age-standardized rate. Survival was estimated using the Kaplan-Meier method. RESULTS: From 1998 to 2018, the incidence of NENs in Beijing initially showed a significant increasing trend, from 1.07/100,000 to 3.53/100,000; this began to plateau after 2013. The age-specific incidence rate increased with age and peaked in the age group 70-74 years. The incidence in men was significantly higher than that in women (4.41/100,000 vs. 1.69/100,000). The most common sites of NENs were the lung (2.38/100,000) and rectum (0.14/100,000). Most NENs were diagnosed at a late stage. We found that NENs originating from the lung had worse overall survival than extrapulmonary NENs, and male patients had worse survival than female patients. CONCLUSIONS: This study retrospectively analyzed the epidemiological characteristics of NENs in Beijing from 1998 to 2018. Our findings provide a reference regarding the epidemiological statistics of NENs in Beijing to contribute to the prevention, diagnosis, and treatment of these specific tumors.

Molecular features of gastroenteropancreatic neuroendocrine carcinoma: A comparative analysis with lung neuroendocrine carcinoma and digestive adenocarcinomas.

Objective: There is an ongoing debate about whether the management of gastroenteropancreatic (GEP) neuroendocrine carcinoma (NEC) should follow the guidelines of small-cell lung cancer (SCLC). We aim to identify the genetic differences of GEPNEC and its counterpart. Methods: We recruited GEPNEC patients as the main cohort, with lung NEC and digestive adenocarcinomas as comparative cohorts. All patients undergone next-generation sequencing (NGS). Different gene alterations were compared and analyzed between GEPNEC and lung NEC (LNEC), GEPNEC and adenocarcinoma to yield the remarkable genes. Results: We recruited 257 patients, including 99 GEPNEC, 57 LNEC, and 101 digestive adenocarcinomas. Among the mutations, KRAS, RB1, TERT, IL7R, and CTNNB1 were found to have different gene alterations between GEPNEC and LNEC samples. Specific genes for each site were revealed: gastric NEC ( TERT amplification), colorectal NEC ( KRAS mutation), and bile tract NEC ( ARID1A mutation). The gene disparities between small-cell NEC (SCNEC) and large-cell NEC (LCNEC) were KEAP1 and CDH1. Digestive adenocarcinoma was also compared with GEPNEC and suggested RB1, APC, and KRAS as significant genes. The TP53/ RB1 mutation pattern was associated with first-line effectiveness. Putative targetable genes and biomarkers in GEPNEC were identified in 22.2% of the patients, and they had longer progression-free survival (PFS) upon targetable treatment [12.5 months vs. 3.0 months, HR=0.40 (0.21-0.75), P=0.006]. Conclusions: This work demonstrated striking gene distinctions in GEPNEC compared with LNEC and adenocarcinoma and their clinical utility.

Secreted proteins MDK, WFDC2, and CXCL14 as candidate biomarkers for early diagnosis of lung adenocarcinoma.

BACKGROUND: Early diagnosis of lung adenocarcinoma (LUAD), one of the most common types of lung cancer, is very important to improve the prognosis of patients. The current methods can't meet the requirements of early diagnosis. There is a pressing need to identify novel diagnostic biomarkers. Secretory proteins are the richest source for biomarker research. This study aimed to identify candidate secretory protein biomarkers for early diagnosis of LUAD by integrated bioinformatics analysis and clinical validation. METHODS: Differentially expressed genes (DEGs) of GSE31210, gene expression data of early stage of LUAD, were analyzed by GEO2R. Upregulated DEGs predicted to encode secreted proteins were obtained by taking the intersection of the DEGs list with the list of genes encoding secreted proteins predicted by the majority decision-based method (MDSEC). The expressions of the identified secreted proteins in the lung tissues of early-stage LUAD patients were further compared with the healthy control group in mRNA and protein levels by using the UALCAN database (TCGA and CPTAC). The selected proteins expressed in plasma were further validated by using Luminex technology. The diagnostic value of the screened proteins was evaluated by receiver operating characteristic (ROC) analysis. Cell counting kit-8 assay was carried out to investigate the proliferative effects of these screened proteins. RESULTS: A total of 2183 DEGs, including 1240 downregulated genes and 943 upregulated genes, were identified in the GSE31210. Of the upregulated genes, 199 genes were predicted to encode secreted proteins. After analysis using the UALCAN database, 16 molecules were selected for further clinical validation. Plasma concentrations of three proteins, Midkine (MDK), WAP four-disulfide core domain 2 (WFDC2), and C-X-C motif chemokine ligand 14 (CXCL14), were significantly higher in LUAD patients than in healthy donors. The area under the curve values was 0.944, 0.881, and 0.809 for MDK, WFDC2, and CXCL14, 0.962 when combined them. Overexpression of the three proteins enhanced the proliferation activity of A549 cells. CONCLUSIONS: MDK, WFDC2, and CXCL14 were identified as candidate diagnostic biomarkers for early-stage LUAD and might also play vital roles in tumorigenesis.

Clinical outcomes of atezolizumab in combination with etoposide/platinum for treatment of extensive-stage small-cell lung cancer: A real-world, multicenter, retrospective, controlled study in China.

Objective: Atezolizumab along with chemotherapy has prolonged the survival of patients with extensive-stage small-cell lung cancer (ES-SCLC) worldwide, although real-world (RW) data are lacking in China. This study was designed to evaluate the efficacy and clinical outcomes of atezolizumab plus etoposide/platinum (EP). Methods: Data obtained in this retrospective study were captured from six oncology units of five medical facilities from January 2019 to April 2022. For first-line treatments, atezolizumab combined with EP vs. EP alone, we primarily evaluated progression-free survival (PFS); other efficacy indicators, including overall survival (OS), objective response rate (ORR), and patterns of SCLC progression and adverse events (AEs) were assessed. Results: The primary analysis included data from 225 patients, of whom 133 received EP along with atezolizumab (atezolizumab group) and 92 received EP alone (EP group). The PFS duration of the atezolizumab group [7.10 months; 95% confidence interval (95% CI), 6.53-9.00] exceeded that of the EP group (6.50 months; 95% CI, 4.83-7.53). Overall, the hazard ratio (HR) was 0.69 (95% CI, 0.49-0.97) (P=0.029); particularly, the HR was 0.54 (95% CI, 0.36-0.80) among patients undergoing ≥4 chemotherapy cycles and 0.33 (95% CI, 0.20-0.56) among individuals with atezolizumab maintenance. The ORR and disease-control rate (DCR) were similar between the two groups. Because of incomplete OS data, the median OS was not determined for either group. Bone marrow suppression was the most common AE detected (58.6%) in the atezolizumab group. Immune-related AEs occurred in 19 patients in the atezolizumab group (14.3%), with only one case of grade 3 encephalitis. Conclusions: This RW study in China demonstrated improved clinical outcomes of atezolizumab along with EP for ES-SCLC, particularly in the chemosensitive population. These results align with the results of the IMpower133 study, although the impact of this treatment modality on OS warrants additional follow-up studies.

Genetic and treatment profiles of patients with concurrent Epidermal Growth Factor Receptor (EGFR) and Anaplastic Lymphoma Kinase (ALK) mutations.

BACKGROUND: EGFR and ALK alternations often contribute to human malignancies, including lung cancer. EGFR and ALK mutations are usually sensitive to EGFR-tyrosine kinase inhibitors (TKIs) and ALK-TKIs. Although generally mutually exclusive, these mutations do co-exist in rare cases. This study investigated the frequencies, clinical characteristics, therapeutic efficacies, and genetic profiles of lung cancer patients with EGFR and ALK co-mutations. METHODS: Patients with concurrent EGFR and ALK mutations were included in this study, which analyzed mutation profiles and treatment histories. SPSS20.0 were used for survival analysis. RESULTS: Among 271 ALK-positive (ALK-pos) and 2975 EGFR-positive (EGFR-pos) patients in our database, nine (2.6% of ALK-pos and 0.2% of EGFR-pos) patients had concurrent EGFR and ALK mutations (including three exon19 Indel + EML4-ALK, two exon19 Indel + STRN-ALK, two L858R + L1152R, one L858R + EML4-ALK, and one G719C + S768I + STRN-ALK). Eight patients had at least one type of EGFR-TKIs treatment. The median progression free survival (PFS) of these patients on first-generation EGFR-TKIs was 14.5 months (95% CI: 11 - NR). Of these eight patients, one who progressed on Gefitinib and subsequently on Osimertinib had a T790M + C797G. The other seven EGFR-TKIs resistance patients had no known resistance mutations. No patients had ALK mutations before treatment, so ALK mutations may have developed as resistance mechanisms during EGFR-TKIs therapies. EGFR-TKIs-treated patients with EGFR/ALK L1152R mutations generally had a shorter PFS than patients with other mutation combinations. CONCLUSIONS: ALK and EGFR mutations coincide at a relatively low frequency in lung cancer patients. ALK mutations developed either synchronously or heterochronously with EGFR mutations. Two ALK mutations (L1152R and STRN-ALK) may co-exist with EGFR mutations at a higher frequency than others. Most EGFR/ALK co-alteration patients (other than the EGFR/ALK L1152R type) can benefit from first line EGFR-TKIs.

Prediction of the VeriStrat test in first-line therapy of pemetrexed-based regimens for advanced lung adenocarcinoma patients.

BACKGROUND: Although advanced non-squamous non-small cell lung cancer (NSCLC) patients have significantly better survival outcomes after pemetrexed based treatment, a subset of patients still show intrinsic resistance and progress rapidly. Therefore we aimed to use a blood-based protein signature (VeriStrat, VS) to analyze whether VS could identify the subset of patients who had poor efficacy on pemetrexed therapy. METHODS: This study retrospectively analysed 72 advanced lung adenocarcinoma patients who received first-line pemetrexed/platinum or combined with bevacizumab treatment. RESULTS: Plasma samples from these patients were analysed using VS and classified into the Good (VS-G) or Poor (VS-P) group. The relationship between efficacy and VS status was further investigated. Of the 72 patients included in this study, 35 (48.6%) were treated with pemetrexed plus platinum and 37 (51.4%) were treated with pemetrexed/platinum combined with bevacizumab. Among all patients, 60 (83.3%) and 12 (16.7%) patients were classified as VS-G and VS-P, respectively. VS-G patients had significantly better median progression-free survival (PFS) (Unreached vs. 4.2 months; P < 0.001) than VS-P patients. In addition, the partial response (PR) rate was higher in the VS-G group than that in the VS-P group (46.7% vs. 25.0%, P = 0.212). Subgroup analysis showed that PFS was also significantly longer in the VS-G group than that in the VS-P group regardless of whether patients received chemotherapy alone or chemotherapy plus bevacizumab. CONCLUSIONS: Our study indicated that VS might be considered as a novel and valid method to predict the efficacy of pemetrexed-based therapy and identify a subset of advanced lung adenocarcinoma patients who had intrinsic resistance to pemetrexed based regimens. However, larger sample studies are still needed to further confirm this result.

A nomogram model to predict death rate among non-small cell lung cancer (NSCLC) patients with surgery in surveillance, epidemiology, and end results (SEER) database.

BACKGROUND: This study aimed to establish a novel nomogram prognostic model to predict death probability for non-small cell lung cancer (NSCLC) patients who received surgery.. METHODS: We collected data from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute in the United States. A nomogram prognostic model was constructed to predict mortality of NSCLC patients who received surgery. RESULTS: A total of 44,880 NSCLC patients who received surgery from 2004 to 2014 were included in this study. Gender, ethnicity, tumor anatomic sites, histologic subtype, tumor differentiation, clinical stage, tumor size, tumor extent, lymph node stage, examined lymph node, positive lymph node, type of surgery showed significant associations with lung cancer related death rate (P < 0.001). Patients who received chemotherapy and radiotherapy had significant higher lung cancer related death rate but were associated with significant lower non-cancer related mortality (P<0.001). A nomogram model was established based on multivariate models of training data set. In the validation cohort, the unadjusted C-index was 0.73 (95% CI, 0.72-0.74), 0.71 (95% CI, 0.66-0.75) and 0.69 (95% CI, 0.68-0.70) for lung cancer related death, other cancer related death and non-cancer related death. CONCLUSIONS: A prognostic nomogram model was constructed to give information about the risk of death for NSCLC patients who received surgery.

Nomogram model for predicting cause-specific mortality in patients with stage I small-cell lung cancer: a competing risk analysis.

BACKGROUND: The five-year cumulative incidence rate in patients diagnosed with stage I small-cell lung cancer (SCLC) who were instructed to undergo surgery was from 40 to 60%.The death competition influence the accuracy of the classical survival analyses. The aim of the study is to investigate the mortality of stage I small-cell lung cancer (SCLC) patients in the presence of competing risks according to a proportional hazards model, and to establish a competing risk nomogram to predict probabilities of both cause-specific death and death resulting from other causes. METHODS: The study subjects were patients diagnosed with stage I SCLC according to ICD-O-3. First, the cumulative incidence functions (CIFs) of cause-specific death, as well as of death resulting from other causes, were calculated. Then, a proportional hazards model for the sub-distribution of competing risks and a monogram were constructed to evaluate the probability of mortality in stage I SCLC patients. RESULTS: 1811 patients were included in this study. The five-year probabilities of death due to specific causes and other causes were 61.5 and 13.6%, respectively. Tumor size, extent of tumor, surgery, and radiotherapy were identified as the predictors of death resulting from specific causes in stage I SCLC. The results showed that surgery could effectively reduce the cancer-specific death, and the one-year cumulative incidence dropped from 34.5 to 11.2%. Like surgery, chemotherapy and radiotherapy improved the one-year survival rate. CONCLUSIONS: We constructed a predictive model for stage I SCLC using the data from the SEER database. The proportional sub-distribution models of competing risks revealed the predictors of death resulting from both specific causes and other causes. The competing risk nomogram that we built to predict the prognosis showed good reliability and could provide beneficial and individualized predictive information for stage I SCLC patients.

Survival difference between EGFR Del19 and L858R mutant advanced non-small cell lung cancer patients receiving gefitinib: a propensity score matching analysis.

OBJECTIVE: Although superior clinical benefits of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in the treatment of advanced non-small-cell lung cancer (NSCLC) had been reported, the survival difference between exon 19 deletion (Del19) and exon 21 Leu858Arg substitution (L858R) remains controversial. The purpose of this study is to investigate the differences in progression-free survival (PFS) and overall survival (OS) between different EGFR mutant subtypes among advanced NSCLC patients receiving gefitinib. METHODS: There were 204 advanced NSCLC patients with EGFR mutations treated with gefitinib were enrolled in this retrospective cohort study. Patients were divided into the EGFR Del19 group and the L858R mutated group according to their mutant subtype. Propensity score matching (PSM) was conducted by using a nearest-neighbor algorithm (1:1) to adjust for demographical and clinical covariates. Survival curves were constructed with the Kaplan-Meier method and compared by using the log-rank test. RESULTS: The PFS in Del19 group was similar to that in the L858R group [before PSM 8.6 vs. 7.2 months, P=0.072; after PSM 7.3 vs. 7.2 months, P=0.155]. No differences were detected in OS between the L858R and the Del19 group (before PSM 17.8 vs. 13.1 months, P=0.253; after PSM 16.9 vs. 13.1 months, P=0.339). The Del19 group was significantly younger compared with the L858R mutation group in age (P=0.015). CONCLUSIONS: No significant difference was found in the PFS or OS between the Del19 and L858R mutant NSCLC patients receiving gefitinib. The age gap might contribute to the survival differences between Del19 and L858R groups. PSM is of important value to the elimination of potential bias.

Reproducible copy number variation patterns among single circulating tumor cells of lung cancer patients.

Circulating tumor cells (CTCs) enter peripheral blood from primary tumors and seed metastases. The genome sequencing of CTCs could offer noninvasive prognosis or even diagnosis, but has been hampered by low single-cell genome coverage of scarce CTCs. Here, we report the use of the recently developed multiple annealing and looping-based amplification cycles for whole-genome amplification of single CTCs from lung cancer patients. We observed characteristic cancer-associated single-nucleotide variations and insertions/deletions in exomes of CTCs. These mutations provided information needed for individualized therapy, such as drug resistance and phenotypic transition, but were heterogeneous from cell to cell. In contrast, every CTC from an individual patient, regardless of the cancer subtypes, exhibited reproducible copy number variation (CNV) patterns, similar to those of the metastatic tumor of the same patient. Interestingly, different patients with the same lung cancer adenocarcinoma (ADC) shared similar CNV patterns in their CTCs. Even more interestingly, patients of small-cell lung cancer have CNV patterns distinctly different from those of ADC patients. Our finding suggests that CNVs at certain genomic loci are selected for the metastasis of cancer. The reproducibility of cancer-specific CNVs offers potential for CTC-based cancer diagnostics.

A phase I study of nimotuzumab plus docetaxel in chemotherapy-refractory/resistant patients with advanced non-small-cell lung cancer.

BACKGROUND: To determine the safety and therapeutic efficacy of nimotuzumab (h-R3) combined with docetaxel in advanced non-small-cell lung cancer (NSCLC) patients who have failed to respond to prior first-line chemotherapy. METHODS: In this single-center, open-label, dose-escalating phase I trial, patients with epidermal growth factor receptor (EGFR)-expressing stage IV NSCLC were treated with nimotuzumab plus docetaxel according to a dose escalation schedule. The safety and efficacy of the combination treatment were observed and analyzed. RESULTS: There were 12 patients with EGFR-expressing stage IV NSCLC enrolled. The dose of nimotuzumab was escalated from 200 to 600 mg/week. The longest administration of study drug was 40 weeks at the 600 mg/week dose level. Grade III-IV toxicities included neutropenia and fatigue, and other toxicities included rash. Dose-limiting toxicity occurred with Grade 3 fatigue at the 200 mg dose level of nimotuzumab and Grade 4 neutropenia with pneumonia at the 600 mg dose level of nimotuzumab. No objective responses were observed, and stable disease was observed in eight patients (66.7%). The median progression-free survival (PFS) was 4.4 months in all patients, 1.3 months in patients with the EGFR mutation, and 4.4 months in those with wild type EGFR (EGFR WT). The median survival time (MST) was 21.1 months in all patients, 21.1 months in patients with EGFR mutation, and 26.4 months in patients with EGFR WT. CONCLUSIONS: Nimotuzumab and docetaxel combination therapy was found to be well tolerated and efficacious. Further study of nimotuzumab is warranted in advanced NSCLC patients.

Heterogeneity of molecular subtyping and therapy-related marker expression in primary tumors and paired lymph node metastases of small cell lung cancer.

The classification of molecular subtypes and the identification of targetable molecules have been proposed for small cell lung cancer (SCLC) patients. Our aim was to investigate whether the expression of these markers evaluated using lymph node (LN) metastases represents that of primary tumors. We enrolled 46 surgically resected SCLC patients' primary tumors and paired mediastinal LN metastases. The protein expression of subtype-defining markers (ASCL1, NEUROD1, POU2F3, and YAP1) and therapeutic markers (DLL3, MYC, PD-L1, and MHC I) was examined by immunohistochemistry and was correlated with clinicopathological parameters and prognoses. In primary and metastatic tumors, the expression of these markers was 78.3% and 87.0%, 50.0% and 63.0%, 13.0% and 6.5%, 17.4% and 15.2%, 84.8% and 87.0%, 17.4% and 6.5%, 50.0% and 34.8%, and 60.9% and 37.0%, respectively. Positive tumor PD-L1 expression was less present in LN metastases (p = 0.015), and the same was true for MHC I expression (p = 0.036). NEUROD1 and DLL3 expression levels in metastatic tumors were stronger (p < 0.001 and p = 0.002, respectively); conversely, POU2F3, MYC, PD-L1, and MHC I expression levels were weaker (p = 0.018, p = 0.019, p = 0.001, and p < 0.001, respectively). In 15 (32.6%) patients, we observed a change in the molecular subtyping pattern, and a higher number of neuroendocrine (NE)-high phenotype patients were diagnosed when using the LN specimens (91.3% vs. 84.8%). TNM stage and postoperative chemotherapy were independent prognostic factors in surgically resected SCLC patients, and no prognostic differences were found among molecular subtypes. This study highlights the discordance of subtype-specific proteins and therapeutic markers between SCLC primary tumors and LN metastases. Additionally, our findings have therapeutic and prognostic implications and warrant further clinical investigation.

Real-world evaluation of first-line treatment of extensive-stage small-cell lung cancer with atezolizumab plus platinum/etoposide: a focus on patients with brain metastasis.

PURPOSE: A previous real-world study conducted in China confirmed that first-line atezolizumab, in combination with etoposide/platinum (EP), leads to significantly longer progression-free survival (PFS) compared to EP alone in patients with extensive-stage small-cell lung cancer (ES-SCLC). The present study aimed to provide updated survival outcome data and evaluate the clinical efficacy of atezolizumab plus chemotherapy in ES-SCLC patients with brain metastasis (BM). METHODS: This retrospective study included 225 patients with ES-SCLC who were treated with EP alone (EP group) or a combination of EP + atezolizumab (atezolizumab group). Survival outcomes for the total study sample and patients in the BM subgroup were estimated using the Kaplan-Meier method. RESULTS: The atezolizumab group continued to demonstrate significantly longer PFS than the EP group (hazard ratio [HR], 0.68). The median overall survival (OS) was 26.2 months in the atezolizumab group vs. 14.8 months in the EP group (HR, 0.63). Additionally, among the BM patients in our study, the median PFS was found to be longer in the atezolizumab group (7.0 months) than in the EP group (4.1 months) (HR, 0.46). The OS of the BM patients did not differ significantly between the two treatment groups. CONCLUSIONS: The addition of atezolizumab to EP as a first-line treatment for ES-SCLC was found to improve survival outcomes. This treatment combination may also prolong PFS in patients with BM, regardless of the administration of cranial irradiation. However, among the BM patients in our study, there was no significant difference in OS between the two treatment groups.

Women patients with small-cell lung cancer using immunotherapy in a real-world cohort achieved long-term survival.

BACKGROUND: Usage of immune checkpoint inhibitors (ICIs) has prolonged the overall survival (OS) of patients with extensive-stage small-cell lung cancer (ES-SCLC). In clinical trials, males accounted for a large proportion, leading to the uncertainty of its efficacy in female patients. We therefore conducted this study to explore the efficacy and safety of using ICIs in female patients with ES-SCLC. METHODS: We retrospectively enrolled female SCLC patients and subdivided them into two groups. Group A (n = 40) was defined as ES-SCLC patients who received first-line standard chemotherapy with or without ICIs. Group B (n = 47) included relapsed SCLC patients who were administered with second-line therapies. Kaplan-Meier methodology was used to calculate survival analysis. Chi-squared tests were used to analyze the incidence of adverse events (AEs). RESULTS: Median progression-free survival (PFS) and median OS favored the ICI-contained cohorts (Group A PFS: 8.3 vs. 6.1 months; OS: not reached vs. 11.3 months; Group B PFS: 15.1 vs. 3.3 months; OS: 35.3 vs. 8.3 months), especially in those patients who received second-line immunotherapies. Patients who received immunotherapy had a slightly higher incidence rate of grade ≥3 AEs (Group A: 71.4% vs. 46.2%; Group B: 44.5% vs. 13.2%). Those who developed grade ≥3 AEs in first-line ICIs cohort had a more favorable survival (PFS: 8.3 vs. 3.2 months; OS: not reached vs. 5.1 months). CONCLUSIONS: Our study suggested that female ES-SCLC patients treated with immunotherapy tended to achieve a relatively longer survival. The incidence of AEs (grade ≥3) was higher in women patients receiving ICIs, which requires monitoring more closely.

Patient-derived tumor-like cell clusters for personalized chemo- and immunotherapies in non-small cell lung cancer.

Many patient-derived tumor models have emerged recently. However, their potential to guide personalized drug selection remains unclear. Here, we report patient-derived tumor-like cell clusters (PTCs) for non-small cell lung cancer (NSCLC), capable of conducting 100-5,000 drug tests within 10 days. We have established 283 PTC models with an 81% success rate. PTCs contain primary tumor epithelium self-assembled with endogenous stromal and immune cells and show a high degree of similarity to the original tumors in phenotypic and genotypic features. Utilizing standardized culture and drug-response assessment protocols, PTC drug-testing assays reveal 89% overall consistency in prospectively predicting clinical outcomes, with 98.1% accuracy distinguishing complete/partial response from progressive disease. Notably, PTCs enable accurate prediction of clinical outcomes for patients undergoing anti-PD1 therapy by combining cell viability and IFN-γ value assessments. These findings suggest that PTCs could serve as a valuable preclinical model for personalized medicine and basic research in NSCLC.

[Prognosis related clinical and molecular factors in malignant pleural mesothelioma].

OBJECTIVE: To identify potential prognosis related clinical and molecular factors in malignant pleural mesothelioma (MPM). METHODS: Seventy-nine patients with MPM treated in Beijing Cancer Hospital from June 1996 to May 2012 were enrolled in this study. Clinical and pathological data were collected, including age, gender, smoking status, treatment, response, and molecular biomarkers such as thymidylate synthetase (TS) expression, echinoderm microtubule-associated protein-like 4-anaplastic lymphoma kinase (EML4-ALK) gene rearrangement. The primary endpoint was overall survival (OS). SPSS 16.0 statistical analysis software was used for univariate analysis. The expression of TS was detected by immunohistochemistry (IHC). Fluorescence in situ hybridization (FISH) was performed to detect EML4-ALK gene rearrangement. Efficacy of the chemotherapy regimen including pemetrexed was analyzed with these molecular biomarkers. RESULTS: The median survival time (MST) of all patients was 15.5 months (95% CI: 10.6 - 20.4). Univariate survival analysis revealed that treatment factors including receiving operation, systemic chemotherapy, pemetrexed-based chemotherapy and capability of receiving second (or above) line chemotherapy were significantly related with OS. The MST of patients receiving operation was 5.4 months (95% CI: 3.6 - 7.3), significantly shorter than the 17.7months (95% CI: 11.8 - 23.5) in those who didn't receive operation (P = 0.030). Patients receiving systemic chemotherapy had a longer MST of 18.0 months (95% CI: 12.3 - 23.8) as compared to the 7.9 months (95% CI: 1.1 - 14.7) in those who didn't (P = 0.001). The MST of pemetrexed-based chemotherapy was 21.9 months (95% CI: 14.1-29.7) compared with 8.8 months (95% CI: 4.2 - 13.4) of regimens without pemetrexed (P = 0.000). For patients capable of receiving second (or above) line chemotherapy the MST was longer (21.0 months, 95% CI: 12.7 - 29.3) than those who could not (12.1 month, 95% CI: 6.4 - 17.8 month), P = 0.022. For the 42 patients treated with pemetrexed-based chemotherapy, the objective response rate (ORR) was 33.3% (14/42), the disease control rate (DCR) was 78.6% (33/42), the median progression-free survival (PFS) was 4.8 months (95% CI: 3.6 - 6.0) and MST was 21.9 months (95% CI: 14.1 - 29.7). Twenty-nine patients provided adequate specimens for detection of TS expression and 6 cases (20.7%) were positive. EML4-ALK gene rearrangement was studied in 32 patients and 6 (18.8%) were positive. TS expression was found to be inversely related to PFS of pemetrexed-based chemotherapy (P = 0.041). The MST was 19.6 months (95% CI: 6.0 - 7.9) in EML4-ALK-positive patients and 9.57 months (95% CI: 2.7 - 4.3) in negative ones (P = 0.159). CONCLUSIONS: Systemic chemotherapy especially pemetrexed-based regimen was proved to be a superior option for MPM with a significantly prolonged OS. Correlation between TS expression or EML4-ALK rearrangement and outcome of pemetrexed-based chemotherapy for MPM may contribute to future individualized treatment, which needs further validation from large-scale prospective studies.

Molecular subtype expression and genomic profiling differ between surgically resected pure and combined small cell lung carcinoma.

A new molecular subtype classification method has been proposed for small cell lung carcinoma (SCLC). However, little is known about the differences between the pure (P-SCLC) and combined subtypes (C-SCLC). We aimed to compare the molecular subtype expression and genomic profiling in terms of clinical relevance between the two groups. 154 surgically resected SCLCs were analyzed for protein expression of four subtypes (ASCL1, NEUROD1, POU2F3, and YAP1) and two predictive markers (DLL3 and MYC) by immunohistochemistry (IHC). We also performed whole exome sequencing of 60 samples to examine genomic profiles. A total of 113 patients with P-SCLC and 41 with C-SCLC were included. In P-SCLC and C-SCLC, the expression of these markers was 78.8% and 41.5%, 98.2% and 97.6%, 42.5% and 51.2%, 38.9% and 85.4%, 85.0% and 68.3%, and 24.8% and 34.1%, respectively. ASCL1 and DLL3 were highly expressed in P-SCLC (p = 0.000 and p = 0.021, respectively), and YAP1 expression was significantly enriched in C-SCLC (p = 0.000). NGS results, including 45 P-SCLCs and 15 C-SCLCs, indicated that EGFR gene mutations were mostly observed in C-SCLCs (p = 0.000). C-SCLC showed higher CNA burden and wGII than P-SCLC (p < 0.01 and p < 0.05); conversely, P-SCLC had higher TMB burden and SDI (p < 0.05 and p < 0.05). YAP1 expression was associated with poor prognosis in P-SCLC but with favorable prognosis in C-SCLC. P-SCLC and C-SCLC are heterogeneous diseases characterized by different molecular subtype expressions and genomic profiles. Our data provide a basis for adopting histological subtype-based treatments, and further prospective studies are required to confirm our conclusions.

Molecular subtypes, predictive markers and prognosis in small-cell lung carcinoma.

AIMS: A new molecular subtype classification was proposed for small-cell lung carcinoma (SCLC). We aimed to further validate the classification in various SCLC patient samples using immunohistochemistry (IHC) to highlight its clinical significance. METHODS: We analysed the protein expression of four subtype (achaete-scute family BHLH transcription factor 1 (ASCL1), neuronal differentiation 1 (NEUROD1), POU class 2 homeobox 3 (POU2F3) and Yes1-associated transcriptional regulator (YAP1)) and two predictive markers (delta-like ligand 3 (DLL3) and MYC) using IHC in 216 specimens from 195 SCLC patients, including 21 pairs of resected biopsy tumours. Associations among molecular subtypes, clinicopathological features and prognostic implications were also explored. RESULTS: The ASCL1, NEUROD1, POU2F3, YAP1, DLL3 and MYC-positive expression rates were 70.3%, 56.9%, 14.9%, 19.0%, 75.4% and 22.6%, respectively. DLL3 expression had positive and negative associations with that of ASCL1 and POU2F3/YAP1, respectively, whereas MYC had the opposite effect. Strong associations of ASCL1 (Ρ=0.8603, p<0.0001), NEUROD1 (Ρ=0.8326, p<0.0001), POU2F3 (Ρ=0.6950, p<0.0001) and YAP1 (Ρ=0.7466, p<0.0001) expressions were detected between paired resected biopsy tumours. In addition to SCLC-A (ASCL1-dominant), SCLC-N (NEUROD1-dominant) and SCLC-P (POU2F3-dominant), unsupervised hierarchical cluster analyses identified a fourth, quadruple-negative SCLC subtype (SCLC-QN) characterised by the low expression of all four subtype-specific proteins, and 55.4% (n=108), 27.2% (n=53), 11.8% (n=23) and 5.6% (n=11) were categorised as SCLC-A, SCLC-N, SCLC-P and SCLC-QN, respectively. Significant enrichment of SCLC-P in the combined SCLC cohort was observed, and adenocarcinoma was more prevalent in SCLC-A, while large-cell neuroendocrine carcinoma was more commonly seen in SCLC-P. No survival difference was found among molecular subtypes. CONCLUSIONS: Our results provide clinical insights into the diagnostic, prognostic and predictive significance of SCLC molecular subtype classifications.

Characterization of Lung and Oral Microbiomes in Lung Cancer Patients Using Culturomics and 16S rRNA Gene Sequencing.

Recently, microbiota dysbiosis in lung cancer has attracted immense attention. Studies on lung microbes are mostly based on sequencing, which has left the potentially functional bacteria with extremely low abundance uncovered. In this study, we characterized and compared the lung and oral cavity microbiotas using culturomics and 16S rRNA gene sequencing. Of the 198 bacteria identified at the species level from bronchoalveolar lavage fluid (BALF) samples, Firmicutes was predominant (39.90%). Twenty bacterial species isolated from BALF samples were present in at least half of the patients and were also highly abundant in oral samples. Of all isolated strains, Streptococcus and Veillonella were highly dominant. The abundance of Prevotella and Veillonella decreased from the oral cavity to the lung, whereas that of Pseudomonas increased. Linear discriminant analysis effect size demonstrated that Prevotella was more abundant in the healthy samples than in the cancerous ones, which is in accordance with the isolation of Prevotella oralis only from the healthy group using culturomics. Moreover, Gemella sanguinis and Streptococcus intermedius were isolated only from the non-small-cell lung cancer (NSCLC) group, and 16S rRNA gene sequencing showed that they were higher in the NSCLC than in the small-cell lung cancer group. Furthermore, while Bacillus and Castellaniella were enriched in lung adenocarcinoma, Brucella was enriched in lung squamous cell carcinoma. Overall, alterations were observed in the microbial community of patients with lung cancer, whose diversity might be site and pathology dependent. Using culturomics and 16S rRNA gene amplicon sequencing, this study has provided insights into pulmonary and oral microbiota alterations in patients with lung cancer. IMPORTANCE The relationship between lung microbiota and cancer has been explored based on DNA sequencing; however, culture-dependent approaches are indispensable for further studies on the lung microbiota. In this study, we applied a comprehensive approach combining culturomics and 16S rRNA gene amplicon sequencing to detect members of the microbiotas in saliva and BALF samples from patients with unilateral lobar masses. We found alterations in the microbial community of patients with lung cancer, whose diversity might be site and pathology dependent. These features may be potential bacterial biomarkers and new targets for lung cancer diagnosis and treatment. In addition, a lung and oral microbial biobank from lung cancer patients was established, which represents a useful resource for studies of host-microbe interactions.