Evidence map›Paper›PMID 35618786›Full record

ArticleBritish journal of cancer2022

Upregulation of CXCL1 and LY9 contributes to BRCAness in ovarian cancer and mediates response to PARPi and immune checkpoint blockade.

Tingting Chen, Tong Yu, Shuping Zhuang, Yiding Geng, Junwen Xue, Jiayi Wang, Liqiang Ai, Bo Chen, Zhangxiang Zhao, Yawei Li and 4 more

Open access · greenAbstract read
In one paragraph

Article in British journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 11 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

14 authors at 2 institutions in 1 country.

Tingting Chen *Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.ORCID http://orcid.org/0000-0002-3918-5132
Tong Yu *Department of Pharmacology (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.
Shuping ZhuangDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Yiding GengDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Junwen XueDepartment of Pharmacology (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.
Jiayi WangDepartment of Pharmacology (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.
Liqiang AiDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Bo ChenDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Zhangxiang ZhaoThe Sino-Russian Medical Research Center of Jinan University, the Institute of Chronic Disease of Jinan University, the First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0001-7467-7223
Yawei LiDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Jinghao WangDepartment of Pharmacy, the First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China.
Haihai LiangDepartment of Pharmacology (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.ORCID http://orcid.org/0000-0003-4446-7035
Yan XuDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China. xuyan@ems.hrbmu.edu.cn.ORCID http://orcid.org/0000-0002-1387-8459
Yunyan GuDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China. guyunyan@ems.hrbmu.edu.cn.ORCID http://orcid.org/0000-0001-5693-4126
Harbin Medical University · CNFirst Affiliated Hospital of Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMutations in BRCA1 or BRCA2 (BRCA1/2) cause homologous recombination deficiency (HRD). Ovarian cancer (OvCa) patients harbouring HRD beyond BRCA1/2 mutation result in a state referred to as "BRCAness". OvCa with BRCAness could benefit from PARP inhibitors. This study aims to identify a signature to detect the BRCAness population at the transcriptome level.

methodsWe used a rank-based algorithm to develop a qualitative BRCAness signature for OvCa. Upregulation of CXCL1 with downregulation of SV2A and upregulation of LY9 with downregulation of CHRNB3 were constructed as the BRCAness signature (2 gene pairs, 2-GPS) for OvCa.

resultsOvCa samples that were classified as BRCAness by 2-GPS showed improved overall survival, progression-free survival and exhibited increased multi-omics alterations in homologous recombination genes and enhanced sensitivity to immune checkpoint blockade. BRCAness cells were sensitive to PARP inhibitors. By biological experiments, we validated SKOV3 cells and patients with HRD exhibited higher expression of CXCL1 than SV2A and higher expression of LY9 than CHRNB3 at mRNA level. Both SKOV3 and A2780 with HRD were sensitive to mitomycin C, cisplatin and olaparib.

conclusionsIn conclusion, 2-GPS could robustly predict BRCAness OvCa at the individual level and extend the population who may benefit from PARP inhibitors.

Indexed as

Chemokine CXCL1Ovarian NeoplasmsSignaling Lymphocytic Activation Molecule FamilyBRCA1 ProteinBRCA2 ProteinCarcinoma, Ovarian EpithelialCell Line, TumorFemaleHomologous RecombinationHumansImmune Checkpoint InhibitorsPoly(ADP-ribose) Polymerase InhibitorsUp-RegulationBRCA1 ProteinBRCA2 ProteinChemokine CXCL1CXCL1 protein, humanImmune Checkpoint InhibitorsLY9 protein, humanPoly(ADP-ribose) Polymerase InhibitorsSignaling Lymphocytic Activation Molecule Family

Identifiers

PMID35618786
PMCPMC9428167
OpenAlexW4281551275

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Registered trials

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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.