Evidence map›Paper›PMID 38203315›Full record

ArticleInternational journal of molecular sciences2023

Longitudinal Transcription Profiling of Bladder Cancers Dictate the Response to BCG Treatment and Disease Progression.

Seo-Young Lee, Yun-Hee Lee, Tae-Min Kim, U-Syn Ha

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

4 authors.

Seo-Young LeeDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul 03083, Republic of Korea.
Yun-Hee LeeDepartment of Urology, College of Medicine, The Catholic University of Korea, Seoul 03083, Republic of Korea.ORCID 0000-0002-9177-2553
Tae-Min KimDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul 03083, Republic of Korea.
U-Syn HaCancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul 03083, Republic of Korea.

Funding

National Research Foundation of Korea 2018R1D1A1B07049542, 2019M3E5D3073104 and 2019R1A5A2027588
6 · The paper itself

Abstract

Although the intravesical instillation of Bacillus Calmette-Guerin (BCG) is widely used as adjuvant treatment for nonmuscle-invasive bladder cancers, the clinical benefit is variable across patients, and the molecular mechanisms underlying the sensitivity to BCG administration and disease progression are poorly understood. To establish the molecular signatures that predict the responsiveness and disease progression of bladder cancers treated with BCG, we performed transcriptome sequencing (RNA-seq) for 13 treatment-naïve and 22 post-treatment specimens obtained from 14 bladder cancer patients. To overcome disease heterogeneity, we used non-negative matrix factorization to identify the latent molecular features associated with drug responsiveness and disease progression. At least 12 molecular features were present, among which the immune-related feature was associated with drug responsiveness, indicating that pre-treatment anti-cancer immunity might dictate BCG responsiveness. We also identified disease progression-associated molecular features indicative of elevated cellular proliferation in post-treatment specimens. The progression-associated molecular features were validated in an extended cohort of BCG-treated bladder cancers. Our study advances understanding of the molecular mechanisms of BCG activity in bladder cancers and provides clinically relevant gene markers for evaluating and monitoring patients.

Indexed as

Mycobacterium bovisUrinary Bladder NeoplasmsAdjuvants, ImmunologicAdjuvants, PharmaceuticBCG VaccineDisease ProgressionHumansAdjuvants, ImmunologicAdjuvants, PharmaceuticBCG VaccineBCG treatmentbladder cancersgene set enrichment analysisnon-negative matrix factorizationtranscriptome

Identifiers

PMID38203315
PMCPMC10778820

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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.