Evidence map›Paper›PMID 36474424›Full record

ArticleCell cycle (Georgetown, Tex.)2023

High expression of COL6A1 predicts poor prognosis and response to immunotherapy in bladder cancer.

Xuezhou Zhang, Jing Liu, Xuecheng Yang, Wei Jiao, Chengquan Shen, Xinzhao Zhao, Yonghua Wang

Open access · greenAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Article
  10. The Multifaced Role of Collagen in Cancer Development and Progression.International journal of molecular sciences · 2024
    Review
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  12. Article
  13. Article
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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 at 2 institutions in 1 country.

Xuezhou ZhangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Jing LiuDepartment of Research Management and International Cooperation, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xuecheng YangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Wei JiaoDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Chengquan ShenDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xinzhao ZhaoDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Yonghua WangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qingdao University · CNAffiliated Hospital of Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular matrix (ECM), as an important framework for tumor microenvironment, plays important roles in many critical processes, including tumor growth, invasion, immune suppression, and drug resistance. However, few biomarkers of ECM-related genes (ERGs) have been developed for prognosis prediction and clinical treatment of bladder cancer (BC) patients. Bioinformatics analysis and LC-MS/MS analysis were used to screen differentially expressed ERGs in BC. Multivariate Cox regression analysis and Lasso regression analysis were used to construct and validate an ERGs-based prognostic prediction model for BC. Immunohistochemistry was used to detect the protein expression of hub gene-COL6A1 in BC patients. Using bioinformatics analysis from The Cancer Genome Atlas (TCGA) database and proteomic analysis from our BC cohort, we constructed and validated an effective prognostic prediction model for BC patients based on four differentially expressed ERGs (MAP1B, FBN1, COL6A1, and MFAP5). Moreover, we identified human collagen VI-COL6A1 was a hub gene in this prognostic prediction model and found that COL6A1 was closely related to malignancy progression, prognosis, and response to PD-1 inhibitor immunotherapy in BC. Our findings highlight the satisfactory predictive value of ECM-related prognostic models in BC and suggested that COL6A1 may be a potential biomarker in predicting malignant progression, prognosis, and efficacy of immunotherapy in BC.

Indexed as

ProteomicsUrinary Bladder NeoplasmsChromatography, LiquidCollagen Type VIHumansImmunotherapyTandem Mass SpectrometryTumor MicroenvironmentCol6a1 protein, humanCollagen Type VIBladder cancerCOL6A1extracellular matriximmunotherapyprognosis

Identifiers

PMID36474424
PMCPMC9928451
OpenAlexW4311707509

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.