Exploring the tumor microenvironment: Chemokine‐related genes and immunotherapy/chemotherapy response in clear‐cell renal cell carcinoma

Author:

Meng Yuhao1,Zhang Chen23,Fu Tongfei4,He Jiaheng5,Wu Junsong26,Zhan Yongli4ORCID

Affiliation:

1. College of Basic Medical Sciences Hubei University of Chinese Medicine Wuhan China

2. College of Clinical Chinese Medicine Hubei University of Chinese Medicine Wuhan China

3. Department of Emergency Yichang Hospital of Traditional Chinese Medicine Yichang China

4. Department of Nephrology Guang'anmen Hospital Beijing China

5. Department of Nephrology The First Hospital of Wuhan Wuhan China

6. Department of Critical Care Medicine Yichang Hospital of Traditional Chinese Medicine Yichang China

Abstract

AbstractBackgroundThe treatment of clear‐cell renal cell carcinoma (ccRCC) remains challenge. Chemokines laid impact on the proliferation and metastasis of cancer cells. The objective was to identify the chemokine‐related genes and construct a prognostic model for ccRCC.MethodsBulk transcriptomic data (n = 531), single‐cell RNA sequencing (scRNA‐seq) dataset GSE159115, and other validation cohorts were acquired from the Cancer Genome Atlas Program (TCGA) and GEO databases. All clustering analysis was conducted by Seurat R package. Gene set enrichment analysis (GSEA), immune infiltration analysis, single nucleotide variations (SNV) analysis, and predictive response analysis of immunotherapy/chemotherapy were conducted. 786‐O and A498 cell lines were cultured and applied into CCK‐8, Western blot, and RT‐qPCR kits.ResultsUnivariate Cox analysis was used to screen out chemokine‐related genes related to survival. ZIC2, SMIM24, COL7A1, IGF2BP3, ITPKA, ADAMTS14, CYP3A7, and AURKB were identified and applied for the construction of the prognostic model. High‐risk group had a poorer prognosis than the low‐risk group in each dataset. Memory CD8+ T cells, macrophages, and memory B cells were higher in the high‐risk group, while the content of basophils was higher in the low‐risk group. Bortezomib_1191, Dactinomycin_1911, Docetaxel_1007, and Daporinad_1248 were more sensitive to high‐risk groups than low‐risk groups. Moreover, we found that IGF2BP3 significantly elevated in both 786‐O and A498 cell lines resistance to sunitinib. Knockdown of IGF2BP3 markedly reduced ccRCC cell migration and viability.ConclusionOur study has yielded a novel prognostic model of chemokine‐related genes based on comprehensive transcriptional atlas of ccRCC patients, shedding light on the significant impact of the tumor microenvironment on biology and immunotherapy response of ccRCC. We identified IGF2BP3 as a pivotal regulator in regulating ccRCC resistance to sunitinib.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3