ArticleScientific data2026
SexTumorDB: a comprehensive resource of sex-dependent tumor landscape at single-cell resolution.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- SexTumorDB: a comprehensive resource of sex-dependent tumor landscape at single-cell resolution.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Sex is one of the most fundamental biological variables, with a profound impact on tumor incidence, mortality, treatment response and prognosis, making it a critical consideration for precision oncology. Despite its well-established role in tumors, sex bias is often overlooked in both basic research and clinical practice. Our understanding of sex disparities in tumors, especially in non-reproductive tumors and non-malignant components, remains limited, necessitating a comprehensive investigation of sexual dimorphism in cancer. To address this gap, we developed the SexTumorDB database, an integrated resource containing RNA sequencing profiles of non-reproductive tumors at single-cell resolution. SexTumorDB covers 13 cancer types with the highest incidence in either males or females, encompassing 2,014,043 cells from 532 samples, including 319 male and 213 female samples. The SexTumorDB datasets were rigorously curated, processed, and standardized. By making this resource publicly available through online repositories and web applications, we aim to advance the understanding of sex disparities in the tumor microenvironments (TMEs) and foster the development of sex-specific anticancer treatment strategies in the future.
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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.