Evidence map›Paper›PMID 36672328›Full record

ArticleCancers2023

Gene Screening for Prognosis of Non-Muscle-Invasive Bladder Carcinoma under Competing Risks Endpoints.

Chenlu Ke, Dipankar Bandyopadhyay, Devanand Sarkar

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Chenlu KeDepartment of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VA 23284, USA.ORCID 0000-0003-1285-5164
Dipankar BandyopadhyayDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA 23219, USA.ORCID 0000-0001-5421-1725
Devanand SarkarDepartment of Human Genetics, Virginia Commonwealth University, Richmond, VA 23219, USA.ORCID 0000-0003-0973-2323

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Renato Martins · 1985 to 2026
$51.0M
Translational Research Center in Lung Cancer Disparities (TRACER)P20CA252717 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI HUGHES-HALBERT, CHANITA A., SEEWALDT, VICTORIA L. · 2021 to 2023
$3.2M
Sex influences on periodontal disease and diabetes: A population science approach, with softwareR01DE031134 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI BANDYOPADHYAY, DIPANKAR, PATI, DEBDEEP · 2022 to 2025
$2.1M
SUCCEED Cancer Research Education Program (CREP)P20CA264067 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOSAVEL, MAGHBOEBA · 2021 to 2024
$845k
A pragmatic risk index evaluating the elderly with comorbidity for oral health event timesR21DE031879 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI BANDYOPADHYAY, DIPANKAR · 2022 to 2023
$446k
NCI NIH HHS P20 CA252717NCI NIH HHS P20 CA264067NCI NIH HHS P30 CA016059NIDCR NIH HHS R01 DE031134NIDCR NIH HHS R21 DE031879NIH HHS P20CA252717; P20CA264067; R01DE031134; R21DE031879
6 · The paper itself

Abstract

Background: Discovering clinically useful molecular markers for predicting the survival of patients diagnosed with non−muscle-invasive bladder cancer can provide insights into cancer dynamics and improve treatment outcomes. However, the presence of competing risks (CR) endpoints complicates the estimation and inferential framework. There is also a lack of statistical analysis tools and software for coping with the high-throughput nature of these data, in terms of marker screening and selection. Aims: To propose a gene screening procedure for proportional subdistribution hazards regression under a CR framework, and illustrate its application in using molecular profiling to predict survival for non-muscle invasive bladder carcinoma. Methods: Tumors from 300 patients diagnosed with bladder cancer were analyzed for genomic abnormalities while controlling for clinically important covariates. Genes with expression patterns that were associated with survival were identified through a screening procedure based on proportional subdistribution hazards regression. A molecular predictor of risk was constructed and examined for prediction accuracy. Results: A six-gene signature was found to be a significant predictor associated with survival of non−muscle-invasive bladder cancer, subject to competing risks after adjusting for age, gender, reevaluated WHO grade, stage and BCG/MMC treatment (p-value < 0.001). Conclusion: The proposed gene screening procedure can be used to discover molecular determinants of survival for non−muscle-invasive bladder cancer and in general facilitate high-throughput competing risks data analysis with easy implementation.

Indexed as

bladder cancercompeting risk endpointsgene screeningsubdistribution hazardssurvival analysis

Identifiers

PMID36672328
PMCPMC9856670

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.