Evidence map›Paper›PMID 39558175›Full record

ArticleNucleic acids research2025

scCancerExplorer: a comprehensive database for interactively exploring single-cell multi-omics data of human pan-cancer.

Changzhi Huang, Zekai Liu, Yunlei Guo, Wanchu Wang, Zhen Yuan, Yusheng Guan, Deng Pan, Zhibin Hu, Linhua Sun, Zan Fu and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Host andGut microbes · 2026
    Article
  3. Integrative bioinformatic and experimental analysis reveals prognostic and immunological roles of psychological stress-related genes in skin cutaneous melanoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    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

11 authors.

Changzhi HuangState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.
Zekai LiuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.ORCID 0009-0003-2261-1216
Yunlei GuoState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.ORCID 0009-0001-2455-5508
Wanchu WangState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.
Zhen YuanState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0003-4980-6681
Yusheng GuanState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0002-1319-7784
Deng PanState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.
Zhibin HuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0002-8277-5234
Linhua SunCollege of Life Sciences, Nanjing Normal University, Nanjing 210023, China.ORCID 0000-0003-0086-2308
Zan FuDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Shuhui BianState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0002-9662-113X

Funding

China Association for Science and Technology 2020QNRC001Nanjing Medical University KY116RC20200007National Natural Science Foundation of China 82173059
6 · The paper itself

Abstract

Genomic, epigenomic and transcriptomic alterations are hallmarks of cancer cells, and are closely connected. Especially, epigenetic regulation plays a critical role in tumorigenesis and progression. The growing single-cell epigenome data in cancer research provide new opportunities for data mining from a more comprehensive perspective. However, there is still a lack of databases designed for interactively exploring the single-cell multi-omics data of human pan-cancer, especially for the single-cell epigenome data. To fill in the gap, we developed scCancerExplorer, a comprehensive and user-friendly database to facilitate the exploration of the single-cell genome, epigenome (chromatin accessibility and DNA methylation), and transcriptome data of 50 cancer types. Five major modules were provided to explore those data interactively, including 'Integrated multi-omics analysis', 'Single-cell transcriptome', 'Single-cell epigenome', 'Single-cell genome' and 'TCGA analysis'. By simple clicking, users can easily investigate gene expression features, chromatin accessibility patterns, transcription factor activities, DNA methylation states, copy number variations and TCGA survival analysis results. Taken together, scCancerExplorer is distinguished from previous databases with rich and interactive functions for exploring the single-cell multi-omics data of human pan-cancer. It bridges the gap between single-cell multi-omics data and the end-users, and will facilitate progress in the field of cancer research. scCancerExplorer is freely accessible via https://bianlab.cn/scCancerExplorer.

Indexed as

Databases, GeneticDNA MethylationNeoplasmsSingle-Cell AnalysisDNA Copy Number VariationsEpigenesis, GeneticEpigenomeEpigenomicsGene Expression Regulation, NeoplasticGenomicsHumansMultiomicsSoftwareTranscriptome

Identifiers

PMID39558175
PMCPMC11701644

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.