Evidence map›Paper›PMID 38560564›Full record

ReviewOncology research2024

Clinical implications of single cell sequencing for bladder cancer.

Reza Yadollahvandmiandoab, Mehrsa Jalalizadeh, Franciele Aparecida Vechia Dionato, Keini Buosi, Patrícia A F Leme, Luciana S B Dal Col, Cristiane F Giacomelli, Alex Dias Assis, Nasim Bashirichelkasari, Leonardo Oliveira Reis

Abstract readReview
In one paragraph

Review in Oncology research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. International journal of surgery (London, England) · 2026
    Article
  2. Article
  3. Review
  4. NR4A3 suppresses bladder cancer progression by modulating autophagyEuropean journal of histochemistry : EJH · 2025
    Article
  5. Article
  6. Article
  7. Understanding bladder cancer by genome-wide association studies.Translational andrology and urology · 2024
    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

10 authors.

Reza YadollahvandmiandoabUroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil.
Mehrsa JalalizadehUroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil.
Franciele Aparecida Vechia DionatoUroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil.
Keini BuosiUroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil.
Patrícia A F LemeUroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil.
Luciana S B Dal ColUroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil.
Cristiane F GiacomelliUroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil.
Alex Dias AssisUroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil.
Nasim BashirichelkasariUroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil.
Leonardo Oliveira ReisUroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer (BC) is the 10th most common cancer worldwide, with about 0.5 million reported new cases and about 0.2 million deaths per year. In this scoping review, we summarize the current evidence regarding the clinical implications of single-cell sequencing for bladder cancer based on PRISMA guidelines. We searched PubMed, CENTRAL, Embase, and supplemented with manual searches through the Scopus, and Web of Science for published studies until February 2023. We included original studies that used at least one single-cell technology to study bladder cancer. Forty-one publications were included in the review. Twenty-nine studies showed that this technology can identify cell subtypes in the tumor microenvironment that may predict prognosis or response to immune checkpoint inhibition therapy. Two studies were able to diagnose BC by identifying neoplastic cells through single-cell sequencing urine samples. The remaining studies were mainly a preclinical exploration of tumor microenvironment at single cell level. Single-cell sequencing technology can discriminate heterogeneity in bladder tumor cells and determine the key molecular properties that can lead to the discovery of novel perspectives on cancer management. This nascent tool can advance the early diagnosis, prognosis judgment, and targeted therapy of bladder cancer.

Indexed as

Carcinoma, Transitional CellUrinary Bladder NeoplasmsHumansPrognosisTumor MicroenvironmentBladder cancerImmunotherapyScoping reviewSingle-cell sequencingTransitional cell carcinomaTumor heterogeneityTumor microenvironmentUrothelial carcinoma

Identifiers

PMID38560564
PMCPMC10972735

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.