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Comparative STAT3-regulated gene expression profile in renal cell carcinoma subtypes

  • Rebekah L. Robinson
    ,
  • ,
  • Shan Bai
    ,
  • Saleh Heneidi
    ,
  • Tae Jin Lee
    ,
  • Sai Karthik Kodeboyina
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Renal cell carcinomas (RCC) are heterogeneous and can be further classified into three major subtypes including clear cell, papillary and chromophobe. Signal transducer and activator of transcription 3 (STAT3) is commonly hyperactive in many cancers and is associated with cancer cell proliferation, invasion, migration, and angiogenesis. In renal cell carcinoma, increased STAT3 activation is associated with increased metastasis and worse survival outcomes, but clinical trials targeting the STAT3 signaling pathway have shown varying levels of success in different RCC subtypes. Using RNA-seq data from The Cancer Genome Atlas (TCGA), we compared expression of 32 STAT3 regulated genes in 3 RCC subtypes. Our results indicate that STAT3 activation plays the most significant role in clear cell RCC relative to the other subtypes, as half of the evaluated genes were upregulated in this subtype. MMP9, BIRC5, and BCL2 were upregulated and FOS was downregulated in all three subtypes. Several genes including VEGFA, VIM, MYC, ITGB4, ICAM1, MMP1, CCND1, STMN1, TWIST1, and PIM2 had variable expression in RCC subtypes and are potential therapeutic targets for personalized medicine.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

72

Journal (Volume, Issue Number)

Frontiers in Oncology (Volume 9, Issue FEB)

Publication milestones

  • Published - 2019

Publication status

Published - 2019

ISSN

2234-943X

Publication IDs

  • Scopus: 85063272778
  • ORCID: /0000-0001-9597-4374/work/56309492
  • ORCID: /0000-0001-9335-0082/work/68145357
  • ORCID: /0000-0001-8200-108X/work/73889832
  • ORCID: /0000-0002-5245-1140/work/128508001

Publication metrics

Metrics

Scopus
citations
SciVal
citations
4
SciVal
FWCI
0.51
SciVal
Author count
8
SciVal
Paper percentile
71
Fractional count
4
Fractional count
0.50
Fractional count
4
Fractional count
0.50
Fractional count
4
Fractional count
1

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Social media
69
Citation count
29
Captures
34

Funding Details

This research was supported by Institutional Start-Up Package to SS from Medical College of Georgia at Augusta University, Augusta, GA, USA.