Evidence map›Paper›PMID 32030920›Full record

ArticleJournal of Korean medical science2020

Involvement of the TNF-α Pathway in TKI Resistance and Suggestion of TNFR1 as a Predictive Biomarker for TKI Responsiveness in Clear Cell Renal Cell Carcinoma.

Hee Sang Hwang, Yun Yong Park, Su Jin Shin, Heounjeong Go, Ja Min Park, Sun Young Yoon, Jae Lyun Lee, Yong Mee Cho

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Establishment of a Seven-Gene Signature Associated with CD8International journal of molecular sciences · 2023
    Trial
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  7. Review
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  10. Article
  11. TNFα and Immune Checkpoint Inhibition: Friend or Foe for Lung Cancer?International journal of molecular sciences · 2021
    Review
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  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Hee Sang HwangDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9486-9214
Yun Yong ParkAsan Institute for Life Science, Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0003-1736-6300
Su Jin ShinDepartment of Pathology, Hanyang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9114-8438
Heounjeong GoDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0412-8709
Ja Min ParkAsan Institute for Life Science, Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-4799-1599
Sun Young YoonAsan Institute for Life Science, Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-7498-9497
Jae Lyun LeeDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9420-7162
Yong Mee ChoDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. yongcho@amc.seoul.kr.ORCID https://orcid.org/0000-0001-8766-2602
Ulsan College · KRAsan Medical Center · KRHanyang University · KR

Funding

Asan Institute for Life Sciences, Asan Medical Center 2018-388National Research Foundation of Korea 2019R1H1A2039694
6 · The paper itself

Abstract

backgroundMechanism and predictive biomarkers for tyrosine kinase inhibitor (TKI) resistance of advanced clear cell renal cell carcinoma (ccRCC) have not been fully evaluated.

methodsWe performed gene expression profiling on samples from an acquired TKI resistance cohort that consisted of 10 cases of TKI-treated ccRCC patients with matched tumor tissues harvested at pre-treatment and TKI-resistant post-treatment periods. In addition, a public microarray dataset from patient-derived xenograft model for TKI-treated ccRCC (GSE76068) was retrieved. Commonly altered pathways between the datasets were investigated by Ingenuity Pathway Analysis using commonly regulated differently expressed genes (DEGs). The significance of candidate DEG on intrinsic TKI resistance was assessed through immunohistochemistry in a separate cohort of 101 TKI-treated ccRCC cases.

results

conclusionTNF-α signaling may play a role in TKI resistance, and TNFR1 expression may serve as a predictive biomarker for clinically unfavorable TKI responses in ccRCC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellDrug Resistance, NeoplasmKidney NeoplasmsProtein Kinase InhibitorsReceptors, Tumor Necrosis Factor, Type ISignal TransductionTumor Necrosis Factor-alphaAdultFemaleHumansImmunohistochemistryMaleMiddle AgedPrognosisSurvival AnalysisBiomarkers, TumorProtein Kinase InhibitorsReceptors, Tumor Necrosis Factor, Type ITumor Necrosis Factor-alphaClear Cell Renal Cell CarcinomaDrug ResistanceTNFR1TNF-α PathwayTyrosine Kinase Inhibitor

Identifiers

PMID32030920
PMCPMC7008069
OpenAlexW2998742616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.