Identification of CCL4 as an Immune-Related Prognostic Biomarker Associated With Tumor Proliferation and the Tumor Microenvironment in Clear Cell Renal Cell Carcinoma

被引:10
作者
Zhang, Lu [1 ]
Zhang, Mengzhao [1 ]
Wang, Lu [1 ]
Li, Jianlong [2 ]
Yang, Tao [1 ]
Shao, Qiuya [1 ]
Liang, Xiao [1 ]
Ma, Minghai [1 ]
Zhang, Nan [1 ]
Jing, Minxuan [1 ]
Song, Rundong [1 ]
Fan, Jinhai [1 ,3 ]
机构
[1] Xi An Jiao Tong Univ, Affiliated Hosp 1, Dept Urol, Xian, Peoples R China
[2] Northwest Univ, Affiliated Hosp, Xian 3 Hosp, Dept Urol, Xian, Peoples R China
[3] Minist Educ, Key Lab Environm & Genes Related Dis, Oncol Res Lab, Xian, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
关键词
CCL4; tumor proliferation; immune infiltration; tumor microenvironment; immune checkpoints; clear cell renal cell carcinoma; VHL GENE MUTATION; KIDNEY CANCER; IMMUNOTHERAPY; EXPRESSION; BURDEN; PURITY; ATLAS;
D O I
10.3389/fonc.2021.694664
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The last decade has witnessed revolutionary advances taken in immunotherapy for various malignant tumors. However, immune-related molecules and their characteristics in the prediction of clinical outcomes and immunotherapy response in clear cell renal cell carcinoma (ccRCC) remain largely unclear. C-C Motif Chemokine Ligand 4 (CCL4) was extracted from the intersection analysis of common differentially expressed genes (DEGs) of four microarray datasets from the Gene Expression Omnibus database and immune-related gene lists in the ImmPort database using Cytoscape plug-ins and univariate Cox regression analysis. Subsequential analysis revealed that CCL4 was highly expressed in ccRCC patients, and positively correlated with multiple clinicopathological characteristics, such as grade, stage and metastasis, while negatively with overall survival (OS). We performed gene set enrichment analysis (GSEA) and gene set variant analysis (GSVA) with gene sets coexpressed with CCL4, and observed that gene sets positively related to CCL4 were enriched in tumor proliferation and immune-related pathways while metabolic activities in the negatively one. To further explore the correlation between CCL4 and immune-related biological process, the CIBERSORT algorithm, ESTIMATE method, and tumor mutational burden (TMB) score were employed to evaluate the tumor microenvironment (TME) characteristics of each sample and confirmed that high CCL4 expression might give rise to high immune cell infiltration. Moreover, correlation analysis revealed that CCL4 was positively correlated with common immune checkpoint genes, such as programmed cell death protein 1 (PD-1), cytotoxic T-lymphocyte-associated protein 4 (CTLA4), and lymphocyte activating 3 (LAG3). Overall, this study demonstrated that CCL4 might serve as a potential immune-related prognostic biomarker to predict clinical outcomes and immunotherapy response in ccRCC. Moreover, CCL4 might contribute to TME modulation, indicating the mechanism CCL4 involved in tumor proliferation and metastasis, which could provide novel therapeutic perceptions for ccRCC patients.
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页数:13
相关论文
共 51 条
[1]   Systematic pan-cancer analysis of tumour purity [J].
Aran, Dvir ;
Sirota, Marina ;
Butte, Atul J. .
NATURE COMMUNICATIONS, 2015, 6
[2]   Role of VHL gene mutation in human renal cell carcinoma [J].
Arjumand, Wani ;
Sultana, Sarwat .
TUMOR BIOLOGY, 2012, 33 (01) :9-16
[3]   Understanding the tumor immune microenvironment (TIME) for effective therapy [J].
Binnewies, Mikhail ;
Roberts, Edward W. ;
Kersten, Kelly ;
Chan, Vincent ;
Fearon, Douglas F. ;
Merad, Miriam ;
Coussens, Lisa M. ;
Gabrilovich, Dmitry I. ;
Ostrand-Rosenberg, Suzanne ;
Hedrick, Catherine C. ;
Vonderheide, Robert H. ;
Pittet, Mikael J. ;
Jain, Rakesh K. ;
Zou, Weiping ;
Howcroft, T. Kevin ;
Woodhouse, Elisa C. ;
Weinberg, Robert A. ;
Krummel, Matthew F. .
NATURE MEDICINE, 2018, 24 (05) :541-550
[4]   HLA-G: An Immune Checkpoint Molecule [J].
Carosella, Edgardo D. ;
Rouas-Freiss, Nathalie ;
Roux, Diana Tronik-Le ;
Moreau, Philippe ;
LeMaoult, Joel .
ADVANCES IN IMMUNOLOGY, VOL 127, 2015, 127 :33-144
[5]   Multilevel Genomics-Based Taxonomy of Renal Cell Carcinoma [J].
Chen, Fengju ;
Zhang, Yiqun ;
Senbabaoglu, Yasin ;
Ciriello, Giovanni ;
Yang, Lixing ;
Reznik, Ed ;
Shuch, Brian ;
Micevic, Goran ;
De Velasco, Guillermo ;
Shinbrot, Eve ;
Noble, Michael S. ;
Lu, Yiling ;
Covington, Kyle R. ;
Xi, Liu ;
Drummond, Jennifer A. ;
Muzny, Donna ;
Kang, Hyojin ;
Lee, Junehawk ;
Tamboli, Pheroze ;
Reuter, Victor ;
Shelley, Carl Simon ;
Kaipparettu, Benny A. ;
Bottaro, Donald P. ;
Godwin, Andrew K. ;
Gibbs, Richard A. ;
Getz, Gad ;
Kucherlapati, Raju ;
Park, Peter J. ;
Sander, Chris ;
Henske, Elizabeth P. ;
Zhou, Jane H. ;
Kwiatkowski, David J. ;
Ho, Thai H. ;
Choueiri, Toni K. ;
Hsieh, James J. ;
Akbani, Rehan ;
Mills, Gordon B. ;
Hakimi, A. Ari ;
Wheeler, David A. ;
Creighton, Chad J. .
CELL REPORTS, 2016, 14 (10) :2476-2489
[6]   An Immune Atlas of Clear Cell Renal Cell Carcinoma [J].
Chevrier, Stephane ;
Levine, Jacob Harrison ;
Zanotelli, Vito Riccardo Tomaso ;
Silina, Karina ;
Schulz, Daniel ;
Bacac, Marina ;
Ries, Carola Hermine ;
Ailles, Laurie ;
Jewett, Michael Alexander Spencer ;
Moch, Holger ;
van den Broek, Maries ;
Beisel, Christian ;
Stadler, Michael Beda ;
Gedye, Craig ;
Reis, Bernhard ;
Pe'er, Dana ;
Bodenmiller, Bernd .
CELL, 2017, 169 (04) :736-749
[7]   Kidney Cancer An Overview of Current Therapeutic Approaches [J].
Chowdhury, Nivedita ;
Drake, Charles G. .
UROLOGIC CLINICS OF NORTH AMERICA, 2020, 47 (04) :419-431
[8]   VHL Gene Mutations in Renal Cell Carcinoma: Role as a Biomarker of Disease Outcome and Drug Efficacy [J].
Cowey, C. Lance ;
Rathmell, W. Kimryn .
CURRENT ONCOLOGY REPORTS, 2009, 11 (02) :94-101
[9]  
Datta Meenal, 2019, Am Soc Clin Oncol Educ Book, V39, P165, DOI 10.1200/EDBK_237987
[10]  
De la Fuente Lopez Marjorie, 2018, Tumour Biol, V40, p1010428318810059, DOI 10.1177/1010428318810059