ReviewCancer cell international2025
Single-cell sequencing in bladder cancer: new insights from tumor cell diversity to individualized treatment strategies.
Review in Cancer cell international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Bladder cancer (BCa) is a prevalent malignancy and major cause of cancer-related mortality in men, with clinical outcomes still varying despite advances in personalized treatments. High inter- and intra-tumor heterogeneity significantly contributes to this variability. While traditional high-throughput sequencing has provided insights into BCa mechanisms, driver genes, and clinical strategies, it falls short in completely elucidating cellular heterogeneity. Recently, single-cell sequencing (SCS) technologies have substantially enhanced the detection of tumor heterogeneity by improving sensitivity, accuracy, and efficiency. Single-cell transcriptome sequencing offers unbiased, high-resolution analysis of gene expression patterns at the single-cell level, offering essential insights into BCa pathogenesis. This article reviews advancements in SCS technology and its applications in evaluating tumor heterogeneity, the tumor microenvironment, metastasis, and treatment resistance, offering new perspectives for future BCa research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.