Evidence map›Paper›PMID 39082645›Full record

ArticleBriefings in bioinformatics2024

A pan-cancer interrogation of intronic polyadenylation and its association with cancer characteristics.

Liang Liu, Peiqing Sun, Wei Zhang

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Liang LiuDepartment of Cancer Biology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, United States.ORCID 0000-0001-8630-7430
Peiqing SunDepartment of Cancer Biology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, United States.
Wei ZhangDepartment of Cancer Biology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, United States.

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Overcoming racial health disparities in lung cancer through innovative mechanism-based therapeutic strategiesR01CA272627 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Cristina Maria Furdui, Liang Liu · 2023 to 2026
$2.5M
Tumor microenvironment at single cell level in black and white NSCLC patientsR21CA253362 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, LIANG, ZHANG, WEI · 2020 to 2020
$399k
A novel role of mutant p53 in intronic polyadenylation and impairment of DNA repairR03CA256100 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, LIANG, ZHANG, WEI · 2022 to 2023
$155k
Anderson Oncology Research ProfessorshipNational Foundation for Cancer ResearchNCI NIH HHS P30 CA012197NCI NIH HHS R03 CA256100NCI NIH HHS R21 CA253362NIH HHS R01 CA272627
6 · The paper itself

Abstract

3'UTR-APAs have been extensively studied, but intronic polyadenylations (IPAs) remain largely unexplored. We characterized the profiles of 22 260 IPAs in 9679 patient samples across 32 cancer types from the Cancer Genome Atlas cohort. By comparing tumor and paired normal tissues, we identified 180 ~ 4645 dysregulated IPAs in 132 ~ 2249 genes in each of 690 patient tumors from 22 cancer types that showed consistent patterns within individual cancer types. We selected 2741 genes that showed consistently patterns across cancer types, including 1834 pan-cancer tumor-enriched and 907 tumor-depleted IPA genes; the former were amply represented in the functional pathways such as deoxyribonucleic acid damage repair. Expression of IPA isoforms was associated with tumor mutation burden and patient characteristics (e.g. sex, race, cancer stages, and subtypes) in cancer-specific and feature-specific manners, and could be a more accurate prognostic marker than gene expression (summary of all isoforms). In summary, our study reveals the roles and the clinical relevance of tumor-associated IPAs.

Indexed as

IntronsNeoplasmsPolyadenylationBiomarkers, TumorGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, Tumorbiomarkercancer characteristicsintronic polyadenylationpan-cancer

Identifiers

PMID39082645
PMCPMC11289681

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.