Evidence map›Paper›PMID 34786207›Full record

ArticleMolecular therapy. Nucleic acids2021

A transcriptional signature detects homologous recombination deficiency in pancreatic cancer at the individual level.

Shuping Zhuang, Tingting Chen, Yawei Li, Yuquan Wang, Liqiang Ai, Yiding Geng, Min Zou, Kaidong Liu, Huanhuan Xu, Linzhu Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 20 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Shuping ZhuangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Tingting ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Yawei LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Yuquan WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Liqiang AiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Yiding GengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Min ZouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Kaidong LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Huanhuan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Linzhu WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Zhangxiang ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Zhiqiang ChangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Yunyan GuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer (PC) with homologous recombination deficiency (HRD) has been reported to benefit from poly ADP-ribose polymerase (PARP) inhibitors. However, accurate identification of HRD status for PC patients from the transcriptional level is still a great challenge. Here, based on a relative expression ordering (REO)-based algorithm, we developed an HRD signature including 24 gene pairs (24-GPS) using PC transcriptional profiles from The Cancer Genome Atlas (TCGA). HRD samples classified by 24-GPS showed worse overall survival (p = 4.4E-3 for TCGA; p = 1.2E-3 for International Cancer Genome Consortium-Australia cohort; p = 6.4E-2 for GSE17891; p = 7.5E-2 for GSE57495) and higher HRD scores than non-HRD samples (p = 1.4E-4). HRD samples showed highly unstable genomic characteristics and also displayed HRD-related alterations at the epigenomic and proteomic levels. Moreover, HRD cell lines identified by 24-GPS tended to be sensitive to PARP inhibitors (p = 6.6E-2 for olaparib; p = 2.6E-3 for niraparib). Compared with the non-HRD group, the HRD group presented lower immune scores and CD4/CD8 T cell infiltration proportion. Interestingly, PC tumor cells with co-inhibition of PARP-related genes and

Indexed as

homologous recombination deficiencypancreatic cancerPARP inhibitortranscriptional signature

Identifiers

PMID34786207
PMCPMC8571416
OpenAlexW3211250362

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.