ArticleInternational journal of molecular sciences2021
The Importance of Sex in the Discovery of Colorectal Cancer Prognostic Biomarkers.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guanylate cyclase-C Signaling Axis as a theragnostic target in colorectal cancer: a systematic review of literature.Frontiers in oncology · 2023Pooled it
- Integrated model of MRI biomarkers and clinical factors for predicting pathologic response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer.Abdominal radiology (New York) · 2026Article
- Fairness-aware supervised hierarchical contrastive semantic learning for sexual dimorphism analysis.Bioinformatics (Oxford, England) · 2026Article
- Exploring Risk Factors and Sex Differences in Colorectal Cancer: Insights from Current Evidence.Cells · 2026Review
- Resolving the Haplotype Complexity of Colorectal Cancer Genomes with Droplet Barcode Sequencing.Life (Basel, Switzerland) · 2026Article
- Biomarker identification of triple negative breast cancer subtypes using machine learning.NPJ systems biology and applications · 2026Article
- Review
- Decellularized Extracellular Matrix Scaffolds to Engineer the Dormant Landscape of Microscopic Colorectal Cancer Liver Metastasis.Advanced healthcare materials · 2026Article
- Colonic Aging and Colorectal Cancer: An Unignorable Interplay and Its Translational Implications.Biology · 2025Review
- Spatial profiling of the mouse colonic immune landscape associated with colitis and sex.Communications biology · 2024Article
- The Expression of the Claudin Family of Proteins in Colorectal Cancer.Biomolecules · 2024Review
- Development and validation of a competitive risk model in patients with rectal cancer: based on SEER database.European journal of medical research · 2023Article
- Comorbidity Patterns in Patients Newly Diagnosed With Colorectal Cancer: Network-Based Study.JMIR public health and surveillance · 2023Observational
- Article
- Gender Medicine in Clinical Radiology Practice.Journal of personalized medicine · 2023Review
- Colitis Induces Sex-Specific Intestinal Transcriptomic Responses in Mice.International journal of molecular sciences · 2022Article
- The Impact of Matrix Metalloproteinase-11 Polymorphisms on Colorectal Cancer Progression and Clinicopathological Characteristics.Diagnostics (Basel, Switzerland) · 2022Article
- ERβ and Inflammation.Advances in experimental medicine and biology · 2022Article
- Estrogen Receptor Beta Influences the Inflammatory p65 Cistrome in Colon Cancer Cells.Frontiers in endocrinology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Colorectal cancer (CRC) is the third leading cause of cancer deaths. Advances within bioinformatics, such as machine learning, can improve biomarker discovery and ultimately improve CRC survival rates. There are clear sex differences in CRC characteristics, but the impact of sex has not been considered with regards to CRC biomarkers. Our aim here was to investigate sex differences in the transcriptome of a normal colon and CRC, and between paired normal and tumor tissue. Next, we attempted to identify CRC diagnostic and prognostic biomarkers and investigate if they are sex-specific. We collected paired normal and tumor tissue, performed RNA-seq, and applied feature selection in combination with machine learning to identify the top CRC diagnostic biomarkers. We used The Cancer Genome Atlas (TCGA) data to identify sex-specific CRC diagnostic biomarkers and performed an overall survival analysis to identify sex-specific prognostic biomarkers. We found transcriptomic sex differences in both the normal colon tissue and in CRC. Forty-four of the top-ranked biomarkers were sex-specific and 20 biomarkers showed a sex-specific prognostic value. Our data show the importance of sex in the discovery of CRC biomarkers. We propose 20 sex-specific CRC prognostic biomarkers, including
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.