Evidence map›Paper›PMID 41580475›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Splicing-driven post-translational dysregulation: a new frontier for precision cancer medicine and immunotherapy.

Sael Alatawi

Abstract readReview
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

1 author.

Sael AlatawiDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, 47512, Tabuk, Saudi Arabia. s.alatwi@ut.edu.sa.ORCID http://orcid.org/0000-0001-5773-5567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a disease marked by widespread molecular dysregulation, including alterations in gene expression, signaling pathways, and protein function. Among the critical regulators of protein function are post-translational modifications (PTMs), which fine-tune protein stability, activity, localization, and interactions. At the same time, more and more data has shown that mutations in parts of the splicing machinery, such as SF3B1, SRSF2, U2AF1, and ZRSR2, are common causes of different types of hematologic and solid tumors. Although the transcriptome implications of these mutations have been thoroughly delineated, their subsequent impacts on PTM regulation are still predominantly unexamined. This review seeks to address this deficiency by emphasizing the nascent connections between spliceosome mutations and the alteration of PTM landscapes in cancer. We suggest that modified splicing of PTM-related enzymes and substrates could significantly transform the cancer proteome, providing novel mechanistic insights and therapeutic prospects. We also look into how splicing-driven PTM changes, especially those that affect ubiquitination pathways and other important modification systems, affect the immune landscape of tumors. This gives us new information about how tumors with splicing mutations become more fit by changing the pathways that control the immune system and tumor surveillance.

Indexed as

ImmunotherapyNeoplasmsPrecision MedicineProtein Processing, Post-TranslationalRNA SplicingHumansMutationSpliceosomesImmune evasionPost-translational modificationsPrecision oncologySpliceosomeSplicing factor mutationsTherapeutic targeting

Identifiers

PMID41580475
PMCPMC13282245

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.