Evidence map›Paper›PMID 42593691›Full record

ReviewMolecular biology reports2026

R-loops in colorectal cancer: mechanisms, mapping strategies, and therapeutic opportunities.

Zongyou Huang, Liu Xiang, Donge Tang, Yong Dai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zongyou HuangCollege of Safety Science and Engineering, Anhui University of Science and Technology, Huainan, China.
Liu XiangMedical College, Anhui University of Science and Technology, Huainan, China.
Donge TangSouthern University of Science and Technology Taizhou Research Institute, Taizhou, 318000, Zhejiang Province, China.
Yong DaiMedical College, Anhui University of Science and Technology, Huainan, China. daiyong22@aliyun.com.

Funding

Anhui University of Science and Technology 2025yjrc0034Taizhou Municipal Science and Technology Bureau 24ywa60
6 · The paper itself

Abstract

R-loops are three-stranded nucleic acid structures comprising a DNA: RNA hybrid and a displaced single-stranded DNA strand. Their abnormal persistence can trigger transcription-replication conflicts, replication-fork stalling, DNA damage, chromosomal instability, inflammatory signalling, and epigenetic reprogramming. These effects are particularly relevant to colorectal cancer (CRC), which is frequently characterised by replication stress, defective DNA repair, genomic instability, and treatment resistance. This review summarises current evidence linking altered R-loop homeostasis to CRC initiation, progression, metastasis, molecular heterogeneity, and therapeutic response. We discuss key regulators with evidence in CRC or intestinal models, including RNASEH1/2, DDX21, DHX9, TOP1, POLD1/POLD3, and ATR, while distinguishing them from emerging mechanisms requiring CRC-specific validation. We also evaluate major R-loop detection strategies and their limitations. R-loop-associated vulnerabilities may influence responses to irinotecan, ATR/CHK1 and WEE1 inhibitors, PARP-related strategies, and immunotherapy. However, most evidence remains preclinical, highlighting the need for orthogonal detection methods, patient-derived models, and clinically annotated cohorts.

Indexed as

Colorectal NeoplasmsR-Loop StructuresAnimalsDNA DamageDNA RepairDNA ReplicationGenomic InstabilityHumansCcolorectal cancerGenome instabilityReplication stressR-loopsTherapeutic vulnerability

Identifiers

What OpenQuestion holds

Textmetadata
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.