Evidence map›Paper›PMID 31897192›Full record

ArticleOncology letters2020

Decreased expression of TXNIP predicts poor prognosis in patients with clear cell renal cell carcinoma.

Yuan Gao, Jin-Chun Qi, Xiaoyu Li, Jian-Ping Sun, Hong Ji, Qing-Huai Li

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Decreased expression ofOncology letters · 2024
    Article
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  6. ADAMTS10 inhibits aggressiveness via JAK/STAT/c-MYC pathway and reprograms macrophage to create an anti-malignant microenvironment in gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2022
    Article
  7. Thioredoxin-Interacting Protein in Cancer and Diabetes.Antioxidants & redox signaling · 2022
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Cancers · 2020
    Article
  16. Article
  17. 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

6 authors at 2 institutions in 1 country.

Yuan GaoDepartment of Hemodialysis, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Jin-Chun QiDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Xiaoyu LiDepartment of General Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Jian-Ping SunDepartment of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Hong JiDepartment of General Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Qing-Huai LiDepartment of General Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Hebei Medical University · CNSecond Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence has demonstrated that thioredoxin interacting protein (TXNIP) is abnormally expressed in a variety of malignant tumors and functions as a tumor suppressor. However, the association between TXNIP and clear cell renal cell carcinoma (CCRCC) has not yet been fully elucidated. The aim of the present study was to evaluate the role of TXNIP in CCRCC using The Cancer Genome Atlas (TCGA) database. The RNA sequencing data and corresponding clinical data were collected from TCGA database. The association between TXNIP and patient clinicopathological characteristics was analyzed using analysis of variance and logistic regression. The Kaplan-Meier method and Cox proportional hazards model were used to assess the association between TXNIP and overall survival. Gene Set Enrichment Analysis (GSEA) was used to explore the associated signaling pathways. TXNIP expression was identified to be decreased in CCRCC tissues compared with normal tissues. The decreased expression of TXNIP in CCRCC was significantly associated with clinical stage [OR=0.509 for III vs. I (P=0.002); OR=0.527 for IV vs. I (P=0.012)], T stage [OR=0.552 for T3 vs. T1 (P=0.002)] and grade [OR=0.261 for G4 vs. G1 (P=0.027)]. Kaplan-Meier survival analysis indicated that cases of CCRCC with low TXNIP expression were associated with poorer prognoses compared with those with a high expression level (P=0.002). Univariate and multivariate Cox analyses indicated that TXNIP was an independent prognostic factor in CCRCC. GSEA revealed that 6 pathways exhibited significant differential enrichment in the TXNIP high-expression phenotype, including the WNT signaling pathway, the mitogen-activated protein kinase (MAPK) signaling pathway, the phosphatidylinositol signaling system, the transforming growth factor-β (TGF-β) signaling pathway, autophagy and the Janus kinase (JAK)-STAT signaling pathway. Taken together, the results of the present study indicate that TXNIP expression may be a potential prognostic marker for patients with CCRCC. In addition, the WNT signaling pathway, MAPK signaling pathway, phosphatidylinositol signaling system, TGF-β signaling pathway, autophagy and the JAK-STAT signaling pathway may be the crucial pathways regulated by TXNIP in CCRCC.

Indexed as

clear cell renal cell carcinomaGene Set Enrichment AnalysisprognosisThe Cancer Genome Atlasthioredoxin interacting protein

Identifiers

PMID31897192
PMCPMC6924160
OpenAlexW2990143696

What OpenQuestion holds

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Registered trials

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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.