scholarly journals Genomic features and tumor immune microenvironment alteration in NSCLC treated with neoadjuvant PD-1 blockade

2022 ◽  
Vol 6 (1) ◽  
Author(s):  
Shuhang Wang ◽  
Pei Yuan ◽  
Beibei Mao ◽  
Ning Li ◽  
Jianming Ying ◽  
...  
Keyword(s):  
Copy Number ◽  
Copy Number Gain ◽  
Pathological Response ◽  
Immune Microenvironment ◽  
Tumor Mutation Burden ◽  
Neoadjuvant Immunotherapy ◽  
Mutation Burden ◽  
Tumor Immune Microenvironment ◽  
Nsclc Patients ◽  
Insight Into

AbstractSeveral clinical trials have shown the safety and effectiveness of PD-1/PD-L1 inhibitors in neoadjuvant therapy in resectable non-small cell lung cancer (NSCLC). However, 18–83% patients can benefit from it. In this study, we aimed to assess the association of PD-L1 expression, tumor mutation burden, copy number alteration (CNA, including copy number gain and loss) burden with the pathologic response to neoadjuvant PD-1 blockade and investigate the changes in the tumor immune microenvironment (TIME) during neoadjuvant immunotherapy in NSCLC. Pre-immunotherapy treatment tumor samples from twenty-nine NSCLC patients who received neoadjuvant immunotherapy with sintilimab, an anti-PD-1 drug, were subjected to targeted DNA sequencing and PD-L1 immunochemistry staining. The pathological response was positively correlated with tumor proportion score (TPS) of PD-L1 and negatively correlated with copy number gain (CNgain) burden. Of note, the combination of CNgain burden and TPS can better stratify major pathological response (MPR) patients than did CNgain or TPS alone. Whereas, TMB showed a limited correlation with pathological regression. Additionally, PD-1 blockade led to an increase in CD8+PD-1−T cells which was clinically relevant to MPR as evaluated by multiplex immunofluorescence. A significant reduction in CD19+ cells was observed in the Non-MPR group but not in the MPR group, indicating the involvement of B cells in improving neoadjuvant immunotherapy response in NSCLC. Together, our study provides new data for the correlation of PD-L1 expression and genomic factors with drug response in neoadjuvant immunotherapy settings in NSCLC. The changes of TIME may provide novel insight into the immune responses to neoadjuvant anti-PD-1 therapy.

Features in genomics and tumor immune microenvironment in NSCLC treated with neoadjuvant PD-1 blockade.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 9063-9063
Author(s):  
Shuhang Wang ◽  
Ning Li ◽  
Beibei Mao ◽  
Jianming Ying ◽  
Xiuli Tao ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Copy Number ◽  
Copy Number Gain ◽  
Pathological Response ◽  
Immune Microenvironment ◽  
Dynamic Changes ◽  
Paired Samples ◽  
Neoadjuvant Immunotherapy ◽  
Tumor Immune Microenvironment ◽  
Nsclc Patients

9063 Background: Results from several clinical trials have preliminarily demonstrated the safety and effectiveness of single PD-1 inhibitors in neoadjuvant setting for resectable non-small cell lung cancer (NSCLC). However, only around 40% patients could achieve Major Pathological Response. How to select patients who could benefit from single PD-1 blockade remains elusive. Methods: In this study, we aimed to assess the association of PD-L1 expression, tumor mutation burden (TMB), copy number alteration (CNA, including copy number gain and loss) burden with the pathological response to neoadjuvant PD-1 blockade. We also evaluated the dynamic changes of tumor immune microenvironment (TIME) by analyzing pre-immunotherapy treatment tumor biopsy samples from twenty-nine NSCLC patients as well as the matched post-surgery samples after neoadjuvant sintilimab treatment and resection. Targeted DNA sequencing (543 genes), PD-L1 immunochemistry staining (22C3) and multiplex immunofluorescence (CD4, CD8, CD9) were applied. Results: The degree of pathological regression and major pathological response (MPR), were positively correlated with tumor proportion score (TPS) of PD-L1 (R = 0.40, p = 0.04) and negatively correlated with copy number gain (CNgain) burden (R = -0.44, p = 0.04). Of note, the combination of CNgain burden and TPS can better stratify MPR patients compared to CNgain or TPS alone. Whereas, TMB only had a marginal association with pathological response (R = 0.32, p = 0.15). Additionally, PD-1 blockade led to an increase in CD8+PD-1-T cells in the tumor region (p = 0.04, Mann-Whitney U test for paired samples) and a reduction in Tregs and M2 macrophages in the stromal region (p < 0.05, Mann-Whitney U test for paired samples). Further investigation showed that the degree of CD8+PD-1-T cell increase was significantly associated with MPR (p < 0.05, Mann-Whitney U test). Intriguingly, we also observed a substantial reduction in CD19+ cells in the non-MPR group but not in the MPR group, indicating the involvement of B cells in improving neoadjuvant immunotherapy response in NSCLC patients. Conclusions: TPS and CNgain burden were correlated with pathological response to neoadjuvant immunotherapy in NSCLC patients. This may provide potential selective indicators for future clinical trials of neoadjuvant immunotherapy. The dynamic changes of components in the tumor immune microenvironment may provide novel insight into the immune responses induced by neoadjuvant PD-1 blockade therapy.

Identifying GNG4 might play an important role in colorectal cancer TMB

2021 ◽  
pp. 1-16
Author(s):  
Hongcan Zhao ◽  
Sheng Danli ◽  
Ze Qian ◽  
Sunyi Ye ◽  
Jianzhong Chen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Liver Metastases ◽  
Genomic Analysis ◽  
Recurrence Risk ◽  
Computational Method ◽  
The Cancer Genome Atlas ◽  
Immune Microenvironment ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Tumor Immune Microenvironment

BACKGROUND: Colorectal carcinoma (CRC) is one of the most leading cause of cancer death all over the world. The tumor immune microenvironment is illustrated to be necessary for the progress of CRC. And the accumulating evidence indicated that tumor mutation burden (TMB) is effective in differentiating responding population of immune checkpoint inhibitor (ICI) therapies in various cancers. In this study, we aimed to evaluated the potential relationship between TMB and the recurrence risk of CRC. METHODS: The transcriptomic and clinical data of CRC patients were collected from The Cancer Genome Atlas (TCGA) database (n= 382). Then the genomic analysis of tumor mutation burden and tumor purity were conducted by a computational method based on transcriptomic data. RESULTS: Firstly, we accessed the distribution of TMB and preferences at the gene and mutation level using somatic mutation data from TCGA data about CRC. We identified that high TMB predicted better prognosis of CRC patients. Secondly, the differentially expressed genes (DEGs) between the low TMB and high TMB group was clarified. Then the protein-protein interaction (PPI) analysis was performed, and the results confirmed ten hub genes among the DEGs. Utilizing the GEPIA web-tool, we discovered that GNG4 was up-regulated in tumor tissues, and GNG4 was related to the overall survival (OS) and tumor free survival (TFS) of CRC patients. Therefore, we considered GNG4 was essential for the tumor immune microenvironment of CRC. Furthermore, we also accessed the protein level of GNG4 in CRC and liver metastases from CRC. CONCLUSIONS: In this study, GNG4 was demonstrated to be the key element of the CRC TMB, which will be essential for the ICI therapy of CRC. Besides, GNG4 was up-regulated in CRC and liver metastases from CRC tissues. Thus, we thought that GNG4 might play an important role in colorectal cancer TMB and induce its metastasis in liver.

Exploration of Tumor Mutation Burden Combined with Immune Infiltrates in the Prognosis of Lung Adenocarcinoma

2021 ◽  
Author(s):  
Zhenyu Zhao ◽  
Boxue He ◽  
Qidong Cai ◽  
Pengfei Zhang ◽  
Xiong Peng ◽  
...  
Keyword(s):  
High Risk ◽  
Lung Adenocarcinoma ◽  
Clinical Application ◽  
Risk Group ◽  
High Risk Group ◽  
Immune Microenvironment ◽  
Tumor Mutation Burden ◽  
Immune Signature ◽  
Immune Infiltration ◽  
Mutation Burden

Abstract Background: Lung adenocarcinoma (LUAD) accounts for a majority of cancer-related deaths worldwide annually. A recent study shows that immunotherapy is an effective method of LUAD treatment, and tumor mutation burden (TMB) was associated with the immune microenvironment and affected the immunotherapy. Exploration of the gene signature associated with tumor mutation burden and immune infiltrates in predicting prognosis in lung adenocarcinoma in this study, we explored the correlation of TMB with immune infiltration and prognosis in LUAD.Materials and Methods: In this study, we firstly got mutation data and LUAD RNA-Seq data of the LUAD from The Cancer Genome Atlas (TCGA), and according to the TMB we divided the patients into high/low-TMB levels groups. The gene ontology (GO) pathway enrichment analysis and KOBAS-Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis were utilized to explore the molecular function of the differentially expressed genes (DEGs) between the two groups. The function enrichment analyses of DEGs were related to the immune pathways. Then, the ESTIMATE algorithm, CIBERSORT, and ssGSEA analysis were utilized to identify the relationship between TMB subgroups and immune infiltration. According to the results, Venn analysis was utilized to select the immune-related genes in DEGs. Univariate and Lasso Cox proportional hazards regression analyses were performed to construct the signature which positively associated with the immune infiltration and affected the survival. Finally, we verified the correlation between the signature and immune infiltration. Result: The exploration of the immune infiltration suggested that high-TMB subgroups positively associated with the high level of immune infiltration in LUAD patients. According to the TMB-related immune signature, the patients were divided into High/Low-risk groups, and the high-risk group was positively associated with poor prognostic. The results of the PCA analysis confirmed the validity of the signature. We also verified the effectiveness of the signature in GSE30219 and GSE72094 datasets. The ROC curves and C-index suggested the good clinical application of the TMB-related immune signature in LUAD prognosis. Another result suggested that the patients of the high-risk group were positively associated with higher TMB levels, PD-L1expression, and immune infiltration levels.Conclusion: In conclusion, our signature provides potential biomarkers for studying aspects of the TMB in LUAD such as TMB affected immune microenvironment and prognosis. This signature may provide some biomarkers which could improve the biomarkers of PD-L1 immunotherapy response and were inverted for the clinical application of the TMB in LUAD. LUAD male patients with higher TMB-levels and risk scores may benefit from immunotherapy. The high-risk patients along with higher PD-L1 expression of the signature may suitable for immunotherapy and improve their survival by detecting the TMB of LUAD.

scholarly journals The Predictive Efficacy of Tumor Mutation Burden (TMB) on Nonsmall Cell Lung Cancer Treated by Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhang Nan ◽  
Wang Guoqing ◽  
Yu Xiaoxu ◽  
Mi Yin ◽  
He Xin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Systematic Review ◽  
Cell Lung Cancer ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Meta Analysis ◽  
Nonsmall Cell Lung Cancer ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Nsclc Patients

Background. Nonsmall cell lung cancer (NSCLC) is the most common type of lung cancer, and the majority of NSCLC patients are diagnosed at the advanced stage. Chemotherapy is still the main treatment at present, and the overall prognosis is poor. In recent years, immunotherapy has developed rapidly. Immune checkpoint inhibitors (ICIs) as the representative have been extensively applied for treating various types of cancers. Tumor mutation burden (TMB) as a potential biomarker is used to screen appropriate patients for treatment of ICIs. To verify the predictive efficacy of TMB, a systematic review and meta-analysis were conducted to explore the association between TMB and ICIs. Method. PubMed, EMBASE, Cochrane Library, and son on were systematically searched from inception to April 2020. Objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) were estimated. Results. A total of 11 studies consisting of 1525 nonsmall cell lung cancer (NSCLC) patients were included. Comparison of high and low TMB: pooled HRs for OS, 0.57 (95% CI 0.32 to 0.99; P = 0.046 ); PFS, 0.48 (95% CI 0.33 to 0.69; P < 0.001 ); ORR, 3.15 (95% CI 2.29 to 4.33; P < 0.001 ). Subgroup analysis values: pooled HRs for OS, 0.75 (95% CI 0.29 to 1.92, P = 0.548 ) for blood TMB (bTMB), 0.44 (95% CI 0.26 to 0.75, P = 0.003 ) for tissue TMB (tTMB); for PFS, 0.54 (95% CI 0.29 to 0.98, P = 0.044 ) and 0.43 (95% CI 0.26 to 0.71, P = 0.001 ), respectively. Conclusions. These findings imply that NSCLC patients with high TMB possess significant clinical benefits from ICIs compared to those with low TMB. As opposed to bTMB, tTMB was thought more appropriate for stratifying NSCLC patients for ICI treatment.

scholarly journals Integrated proteogenomic analysis of metastatic thoracic tumors identifies APOBEC mutagenesis and copy number alterations as drivers of proteogenomic tumor evolution and heterogeneity

2018 ◽  
Author(s):  
Nitin Roper ◽  
Shaojian Gao ◽  
Tapan K. Maity ◽  
A. Rouf Banday ◽  
Xu Zhang ◽  
...  
Keyword(s):  
Copy Number ◽  
Thymic Carcinoma ◽  
Patient Specific ◽  
Tumor Evolution ◽  
Copy Number Alterations ◽  
Immune Microenvironment ◽  
Mutation Status ◽  
Whole Exome ◽  
Rapid Autopsy ◽  
Insight Into

ABSTRACTElucidation of the proteogenomic evolution of metastatic tumors may offer insight into the poor prognosis of patients harboring metastatic disease. We performed whole-exome and transcriptome sequencing, copy number alterations (CNA) and mass spectrometry-based quantitative proteomics of 37 lung adenocarcinoma (LUAD) and thymic carcinoma (TC) metastases obtained by rapid autopsy and found evidence of patient-specific, multi-dimensional heterogeneity. Extreme mutational heterogeneity was evident in a subset of patients whose tumors showed increased APOBEC-signature mutations and expression of APOBEC3 region transcripts compared to patients with lesser mutational heterogeneity. TP53 mutation status was associated with APOBEC hypermutators in our cohort and in three independent LUAD datasets. In a thymic carcinoma patient, extreme heterogeneity and increased APOBEC3AB expression was associated with a high-risk germline APOBEC3AB variant allele. Patients with CNA occurring late in tumor evolution had corresponding changes in gene expression and protein abundance indicating genomic instability as a mechanism of downstream transcriptomic and proteomic heterogeneity between metastases. Across all tumors, proteomic heterogeneity was greater than copy number and transcriptomic heterogeneity. Enrichment of interferon pathways was evident both in the transcriptome and proteome of the tumors enriched for APOBEC mutagenesis despite a heterogeneous immune microenvironment across metastases suggesting a role for the immune microenvironment in the expression of APOBEC transcripts and generation of mutational heterogeneity. The evolving, heterogeneous nature of LUAD and TC, through APOBEC-mutagenesis and CNA illustrate the challenges facing treatment outcomes.

Comprehensive genomic sequencing of high-grade neuroendocrine neoplasms.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 624-624
Author(s):  
Thomas Yang Sun ◽  
Paul Van Hummelen ◽  
Brock Martin ◽  
Charlie Xia ◽  
Hojoon Lee ◽  
...  
Keyword(s):  
Copy Number ◽  
Cox Model ◽  
Predictive Biomarkers ◽  
Neuroendocrine Neoplasms ◽  
Tumor Mutation Burden ◽  
Risk Of Death ◽  
Mutation Burden ◽  
Increased Risk ◽  
Poorly Differentiated ◽  
Copy Number Changes

624 Background: Grade 3 neuroendocrine neoplasms (G3 NENs), if poorly differentiated, have a median survival of only 10-19 months. Little is known regarding their underlying genomics. Methods: We applied multiomics analysis to 46 cases of G3 NEN that included copy number analysis, whole exome, and transcriptomic sequencing. Results: Of the 46 unique cases, 17 were lung, 16 gastroenteropancreatic (GEP), 13 other; 5 well-differentiated, 39 poorly differentiated and 2 mixed. Using a multivariate Cox model, we found histology characteristics (including differentiation, Ki67 and mitotic index) did not correlate with changes in overall survival (OS). The clinical variables that did correlate with OS included: number of lines of treatment (hazard ratio for death [HR], 0.72; p < 0.05), GEP primary site (HR, 5.36; p < 0.005), and non-resected primary tumor (HR, 14.52; p < 0.001). Two copy number changes were associated with worse prognosis: focal deletion 22q13 (HR, 10.23; p < 0.005), and arm amplification 19q (HR, 7.09; p < 0.01). The median OS of the top quartile compared to the rest for 22q13 deletion carriers was 9.9 months vs. 24 months, and for 19q amplification carriers was 8.7 months vs. 36.7 months. We estimated a median tumor mutation burden (TMB) of 3.7 mutations/Mb, with 20% (8/40) of patients showing high TMB ( > 10 mutations/Mb). The top five mutated genes were USH2A, RB1, APC, TP53, and MUC16. We also observed high transcriptomic similarity across all NENs regardless of their site of origin. Conclusions: We identified two copy number changes that can serve as predictive biomarkers in G3 NENs, as they confer an increased risk of death by as high as 10x to the carriers. Further, G3 NENs are characterized by a distinct group of somatic mutations, and a significant number have high tumor mutation burden. Lastly, G3 NENs across different organs were relatively homogeneous in expression profile.

scholarly journals OA20.01 Tumor Mutation Burden (TMB) is Associated with Improved Efficacy of Atezolizumab in 1L and 2L+ NSCLC Patients

2017 ◽  
Vol 12 (1) ◽  
pp. S321-S322 ◽  
Author(s):  
Marcin Kowanetz ◽  
Wei Zou ◽  
David Shames ◽  
Craig Cummings ◽  
Naiyer Rizvi ◽  
...  
Keyword(s):  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Nsclc Patients

scholarly journals MUC4 mutation correlates with tumor mutation burden and the immune microenvironment in colorectal cancer

2020 ◽  
Author(s):  
Ting Li ◽  
Wenjia Hui ◽  
Halina Halike ◽  
Feng Gao
Keyword(s):  
Colorectal Cancer ◽  
Immune Response ◽  
T Cells ◽  
Immune Cells ◽  
Gene Mutations ◽  
Cancer Genome ◽  
Immune Microenvironment ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Mutant Genes

Abstract Background: Immunotherapy is a new strategy for Colorectal cancer (CRC) treatment. Tumor mutation burden (TMB) may act as an emerging biomarker for predicting responses to immunotherapy. Nevertheless, no studies investigate if these gene mutations correlate to TMB and tumor-infiltrating immune cells. Methods: Somatic mutation data for CRC samples were obtained from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) datasets. Then, we investigated the relationship between these mutant genes, TMB and overall survival outcomes. GSEA analysis was performed to explore the underlying mechanism of mutant gene. Finally, we further verified the connection between gene mutations and immune response.Results: We identified 17 common mutant genes shared by both two cohorts. Further analysis found that MUC4 mutation was strongly related to higher TMB and predicted a poorer prognosis. Moreover, functional enrichment analysis of samples with MUC4 mutation revealed that they were involved in regulating the natural killer cell mediated cytotoxicity signaling pathway. Significant changes in the proportion of the immune cells of CD8 T cells, activated NK cells, M1 macrophages and resting memory CD4 T cells were observed using the CIBERSORT algorithm. Conclusions: Our research revealed that MUC4 mutation significantly correlated with increased TMB, a worse prognosis and modulating the immune microenvironment, which may be considered a biomarker to predict the outcome of the immune response in colorectal cancer.

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