scholarly journals CXCL5 overexpression predicts a poor prognosis in pancreatic ductal adenocarcinoma and is correlated with immune cell infiltration

2020 ◽  
Vol 11 (9) ◽  
pp. 2371-2381 ◽  
Author(s):  
Ronghua Zhang ◽  
Qiaofei Liu ◽  
Junya Peng ◽  
Mengyi Wang ◽  
Tong Li ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Poor Prognosis ◽  
Immune Cell ◽  
Cell Infiltration ◽  
Ductal Adenocarcinoma ◽  
Immune Cell Infiltration

A comprehensive prognostic signature based on interaction of immune cell infiltration with stromal composition for resected pancreatic ductal adenocarcinoma

Pancreatology ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. S34
Author(s):  
Ujjwal Mukund Mahajan ◽  
Enno Langhoff ◽  
Eithne Costello ◽  
William Greenhalf ◽  
Christopher Halloran ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Immune Cell ◽  
Cell Infiltration ◽  
Ductal Adenocarcinoma ◽  
Immune Cell Infiltration ◽  
Prognostic Signature

scholarly journals Identification of the Immune Cell Infiltration Landscape in Hepatocellular Carcinoma to Predict Prognosis and Guide Immunotherapy

2021 ◽  
Vol 12 ◽  
Author(s):  
Shiyan Yang ◽  
Yajun Cheng ◽  
Xiaolong Wang ◽  
Ping Wei ◽  
Hui Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Poor Prognosis ◽  
Immune Cell ◽  
Principal Component ◽  
Rna Degradation ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Efficacy Evaluation

Background: Globally, hepatocellular carcinoma (HCC) is the sixth most frequent malignancy with a high incidence and a poor prognosis. Immune cell infiltration (ICI) underlies both the carcinogenesis and immunogenicity of tumors. However, a comprehensive classification system based on the immune features for HCC remains unknown.Methods: The HCC dataset from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) cohorts was used in this study. The ICI patterns of 571 patients were characterized using two algorithms: the patterns were determined based on the ICI using the ConsensusClusterPlus package, and principal component analysis (PCA) established the ICI scores. Differences in the immune landscape, biological function, and somatic mutations across ICI scores were evaluated and compared, followed by a predictive efficacy evaluation of ICI scores for immunotherapy by the two algorithms and validation using an external immunotherapy cohort.Results: Based on the ICI profile of the HCC patients, three ICI patterns were identified, including three subtypes having different immunological features. Individual ICI scores were determined; the high ICI score subtype was characterized by enhanced activation of immune-related signaling pathways and a significantly high tumor mutation burden (TMB); concomitantly, diminished immunocompetence and enrichment of pathways associated with cell cycle and RNA degradation were found in the low ICI score subtype. Taken together, our results contribute to a better understanding of an active tumor and plausible reasons for its poor prognosis.Conclusion: The present study reveals that ICI scores may serve as valid prognostic biomarkers for immunotherapy in HCC.

scholarly journals Identification of Prognostic and Therapeutic Biomarkers among FAM83 Family Members for Pancreatic Ductal Adenocarcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Zuyi Ma ◽  
Zixuan Zhou ◽  
Hongkai Zhuang ◽  
Zhenchong Li ◽  
Zuguang Ma ◽  
...  
Keyword(s):  
T Cell ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Prognostic Value ◽  
Immune Cell ◽  
Sequence Similarity ◽  
Cell Infiltration ◽  
Ductal Adenocarcinoma ◽  
Advanced Tumor Stage ◽  
Mhc Molecules ◽  
Advanced Tumor

Family with sequence similarity 83 (FAM83) members were shown recently to have oncogenic effect in a variety of cancer types, but the biological roles and prognostic value of FAM83 family in pancreatic ductal adenocarcinoma remain unknown. In the current study, the clinical significance and molecular function of the FAM83 family were assessed by multiple bioinformatics analysis. Besides, potential associations between differentially expressed genes (DEGs) of FAM83 family and antitumor immunity were evaluated using TIMER and TISIDB analyses. As the results show, FAM83A, FAM83D, FAM83E, and FAM83H were significantly upregulated in PDAC and were identified as DEGs. Higher expression of FAM83A, FAM83B, FAM83D, FAM83E, and FAM83H were associated with advanced tumor stage or worse patient prognosis. Importantly, the overexpression of DEGs was found to be significantly correlated with activated KRAS and loss of SMAD4, which are important drivers for PDAC. Further, FAM83A, FAM83D, and FAM83H were associated with CD8+ T cell, Gamma Delta T cell, and CD4+ T cell infiltration in PDAC and FAM83H was found closely correlated with some immunomodulators including immunoinhibitors, immunostimulators, and MHC molecules. In conclusion, FAM83A, FAM83D, FAM83E, and FAM83H have significant prognostic value in PDAC and they may play important roles in regulating tumor progression and the immune cell infiltration.

High Expression of Mitochondrial Autophagy-Related Gene FUNDC1 is Associated with Poor Prognosis of Colon Cancer and Defective Immune Cell Infiltration

2021 ◽  
Author(s):  
Yu Guo ◽  
Jian Shi ◽  
Shuang Wang ◽  
Zeyun Zhao ◽  
An Shang ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Poor Prognosis ◽  
Immune Cell ◽  
Univariate Analysis ◽  
Cell Infiltration ◽  
Clinicopathological Parameters ◽  
Immune Cell Infiltration ◽  
Sequencing Data ◽  
The Poor ◽  
The Relationship

Abstract Background: Mitochondrial dysfunction is related to the occurrence and development of many diseases. FUNDC1 has attracted attention as a receptor related to mitochondrial autophagy. Colorectal cancer is the fourth most commonly diagnosed cancer. This article uses bioinformatics analysis to study the relationship between FUNDC1 and immune cell infiltration and prognosis of colon cancer. Methods: The RNA sequencing data and detailed clinical prognostic information resources of 478 COAD samples in the TCGA database were included in the study. Two data sets (GSE37364, GSE110224) from the GEO database were selected for verification. Using Kaplan - Meier curves, univariate analysis and multivariate survival analysis to assess the relationship FUNDC1 level of expression and clinicopathological parameters and overall survival. The protein-protein interaction network of FUNDC1 was constructed by String and GeneMANIA databases. Screen the genes co-expressed with FUNDC1 in Oncomine and GEPIA. And use the TIMER database and GEPIA to explore the relationship between FUNDC1 and immune cell infiltration and surface markers. Results: FUNDC1 is obviously highly expressed in tumor samples and is related to the poor prognosis of patients. Univariate and multivariate analysis showed that FUNDC1 was related to advanced TNM staging. FUNDC1 mainly interacts with mitochondrial autophagy-related proteins. FUNDC1 is related to immune infiltration and mainly affects CD8+ T cells and macrophages. Conclusion: The research has proved that FUNDC1 is closely related to the infiltration of tumor microenvironment immune cells in COAD samples and to the poor prognosis of COAD patients, which may provide new treatment ideas and targets.

scholarly journals Characteristics of the Immune Cell Infiltration Landscape in Gastric Cancer to Assistant Immunotherapy

2022 ◽  
Vol 12 ◽  
Author(s):  
Chenlu Li ◽  
Jingjing Pan ◽  
Yinyan Jiang ◽  
Yan Yu ◽  
Zhenlin Jin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Signaling Pathways ◽  
Poor Prognosis ◽  
Immune Cell ◽  
The Cancer Genome Atlas ◽  
Functional Enrichment ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Therapeutic Responses

Background: Gastric cancer (GC) was usually associated with poor prognosis and invalid therapeutical response to immunotherapy due to biological heterogeneity. It is urgent to screen reliable indices especially immunotherapy-associated parameters that can predict the therapeutic responses to immunotherapy of GC patients.Methods: Gene expression profile of 854 GC patients were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets (GSE84433) with their corresponding clinical and somatic mutation data. Based on immune cell infiltration (ICI) levels, molecular clustering classification was performed to identify subtypes and ICI scores in GC patients. After functional enrichment analysis of subtypes, we further explored the correlation between ICI scores and Tumor Mutation Burden (TMB) and the significance in clinical immunotherapy response.Results: Three subtypes were identified based on ICI scores with distinct immunological and prognostic characteristics. The ICI-cluster C, associated with better outcomes, was characterized by significantly higher stromal and immune scores, T lymphocytes infiltration and up-regulation of PD-L1. ICI scores were identified through using principal component analysis (PCA) and the low ICI scores were consistent with the increased TMB and the immune-activating signaling pathways. Contrarily, the high-ICI score cluster was involved in the immunosuppressive pathways, such as TGF-beta, MAPK and WNT signaling pathways, which might be responsible for poor prognosis of GC. External immunotherapy and chemotherapy cohorts validated the patients with lower ICI scores exhibited significant therapeutic responses and clinical benefits.Conclusion: This study elucidated that ICI score could sever as an effective prognostic and predictive indicator for immunotherapy in GC. These findings indicated that the systematic assessment of tumor ICI landscapes and identification of ICI scores have crucial clinical implications and facilitate tailoring optimal immunotherapeutic strategies.

scholarly journals Identification and Development of Subtypes with Poor Prognosis in Gastric Cancer Based on Both Hypoxia and Immune Cell Infiltration

2021 ◽  
Vol Volume 14 ◽  
pp. 9379-9399
Author(s):  
Yao Wang ◽  
Jingjing Sun ◽  
Yang Yang ◽  
Sonia Zebaze Dongmo ◽  
Yeben Qian ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Immune Cell ◽  
Cell Infiltration ◽  
Immune Cell Infiltration
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