Evidence map›Paper›PMID 36776317›Full record

ArticleFrontiers in oncology2023

Development of a TGF-β signaling-related genes signature to predict clinical prognosis and immunotherapy responses in clear cell renal cell carcinoma.

Xin Wu, Wenjie Xie, Binbin Gong, Bin Fu, Weimin Chen, Libo Zhou, Lianmin Luo

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. TGFβ in Pancreas and Colorectal Cancer: Opportunities to Overcome Therapeutic Resistance.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. TGF-β signaling in health, disease, and therapeutics.Signal transduction and targeted therapy · 2024
    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

7 authors.

Xin WuDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Wenjie XieDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Binbin GongDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Bin FuDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Weimin ChenDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Libo ZhouDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Lianmin LuoDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Transforming growth factor (TGF)-β signaling is strongly related to the development and progression of tumor. We aimed to construct a prognostic gene signature based on TGF-β signaling-related genes for predicting clinical prognosis and immunotherapy responses of patients with clear cell renal cell carcinoma (ccRCC). Methods: The gene expression profiles and corresponding clinical information of ccRCC were collected from the TCGA and the ArrayExpress (E-MTAB-1980) databases. LASSO, univariate and multivariate Cox regression analyses were conducted to construct a prognostic signature in the TCGA cohort. The E-MTAB-1980 cohort were used for validation. Kaplan-Meier (K-M) survival and time-dependent receiver operating characteristic (ROC) were conducted to assess effectiveness and reliability of the signature. The differences in gene enrichments, immune cell infiltration, and expression of immune checkpoints in ccRCC patients showing different risks were investigated. Results: We constructed a seven gene (PML, CDKN2B, COL1A2, CHRDL1, HPGD, CGN and TGFBR3) signature, which divided the ccRCC patients into high risk group and low risk group. The K-M analysis indicated that patients in the high risk group had a significantly shorter overall survival (OS) time than that in the low risk group in the TCGA ( Conclusion: We constructed a novel TGF-β signaling-related genes signature that could serve as an promising independent factor for predicting clinical prognosis and immunotherapy responses in ccRCC patients.

Indexed as

biomarkersclear cell renal cell carcinomaimmune infiltrationprognosis signatureTGF-β signaling

Identifiers

PMID36776317
PMCPMC9911835

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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.