Evidence map›Paper›PMID 41191789›Full record

ArticleAnti-cancer drugs2026

Ubiquitylation-oxaliplatin-related prognosis signature reveals the landscapes of immune responses, cell communication, and therapeutic sensitivity for colorectal cancer.

Gongjun Zhang, Xinye Chen

Abstract read
In one paragraph

Article in Anti-cancer drugs, 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

2 authors.

Gongjun ZhangThe Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Ministry of Education, Shanghaia, China.
Xinye Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ubiquitylation plays a crucial role in posttranslational modification, and its dysregulation is linked to chemosensitivity. However, its role in oxaliplatin (OXA) resistance in colorectal cancer (CRC) remains unclear. Transcriptomic data from the cancer genome atlas (TCGA) and Gene Expression Omnibus were used to develop a ubiquitylation-OXA resistance-related risk score (URGScore), integrating immunological, mutational, and clinical features. Single-cell RNA sequencing (scRNA-seq) identified OXA-resistant cell populations, and Genomics of Drug Sensitivity in Cancer predicted drug sensitivity. GSVA analyzed enriched pathways. Ubiquitin-specific protease 7 (USP7) expression and function were validated in CRC. A 10-gene OXA resistance signature effectively classified CRC patients into OXA-sensitive or -resistant groups. Low-URGScore patients showed greater benefit from immunotherapy. scRNA-seq highlighted the MK signaling pathway, particularly in dendritic cells and progenitors, with NCL as a key MK receptor directly interacting with USP7. Potential drugs for high-risk patients were identified. Functionally, USP7 promoted CRC proliferation, invasion, and OXA resistance in vitro. We generated an ubiquitylation-OXA-resistant CRC risk model that was employed to provide potential therapeutic targets and strategies for treating CRC patients exhibiting OXA-resistance.

Indexed as

Antineoplastic AgentsColorectal NeoplasmsOxaliplatinCell CommunicationDrug Resistance, NeoplasmHumansPrognosisUbiquitinationUbiquitin-Specific Peptidase 7Antineoplastic AgentsOxaliplatinUbiquitin-Specific Peptidase 7USP7 protein, humancell communicationcolorectal canceroxaliplatin-resistancetherapeutic sensitivityubiquitylation

Identifiers

PMID41191789
PMCPMC12695256

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.