Evidence map›Paper›PMID 30755611›Full record

ArticleNature communications2019

Deregulated Gab2 phosphorylation mediates aberrant AKT and STAT3 signaling upon PIK3R1 loss in ovarian cancer.

Xinran Li, Victor C Y Mak, Yuan Zhou, Chao Wang, Esther S Y Wong, Rakesh Sharma, Yiling Lu, Annie N Y Cheung, Gordon B Mills, Lydia W T Cheung

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 49 citations in OpenAlex.

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  19. Classical Signaling and Trans-Signaling Pathways Stimulated byInternational journal of molecular sciences · 2022
    Article
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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

10 authors at 4 institutions in 3 countries.

Xinran LiSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Victor C Y MakSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Yuan ZhouSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Chao WangDepartment of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Esther S Y WongDepartment of Pathology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Rakesh SharmaProteomics & Metabolomics Core Facility, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Yiling LuDepartment of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Annie N Y CheungDepartment of Pathology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Gordon B MillsKnight Cancer Institute, Oregon Health & Science University, Portland, OR, 97239, USA.
Lydia W T CheungSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong. lydiacwt@hku.hk.
University of Hong Kong · HKObstetrics and Gynecology Hospital of Fudan University · CNOregon Health & Science University · USThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
U.T. M. D. Anderson Cancer Center SPORE in Ovarian CancerP50CA217685 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SOOD, ANIL K · 2017 to 2021
$7.9M
Integrative bioinformatics and functional characterization of oncogenic driver aberrations in cancerU01CA217842 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DENEEN, BENJAMIN, MILLS, GORDON B. · 2017 to 2021
$3.6M
Functional Proteomics by Reverse Phase Protein Array in CancerR50CA221675 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LU, YILING · 2017 to 2021
$726k
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA217685NCI NIH HHS R50 CA221675NCI NIH HHS U01 CA217842
6 · The paper itself

Abstract

Copy number loss of PIK3R1 (p85α) most commonly occurs in ovarian cancer among all cancer types. Here we report that ovarian cancer cells manifest a spectrum of tumorigenic phenotypes upon knockdown of PIK3R1. PIK3R1 loss activates AKT and p110-independent JAK2/STAT3 signaling through inducing changes in the phosphorylation of the docking protein Gab2, thereby relieving the negative inhibition on AKT and promoting the assembly of JAK2/STAT3 signalosome, respectively. Additional mechanisms leading to AKT activation include enhanced p110α kinase activity and a decrease in PTEN level. PIK3R1 loss renders ovarian cancer cells vulnerable to inhibition of AKT or JAK2/STAT3. The combination of AKT and STAT3 inhibitors significantly increases the anti-tumor effect compared to single-agent treatments. Together, our findings provide a rationale for mechanism-based therapeutic approach that targets tumors with loss of PIK3R1.

Indexed as

Adaptor Proteins, Signal TransducingApoptosisCell CycleCell MovementCell ProliferationCell SurvivalClass Ia Phosphatidylinositol 3-KinaseClass I Phosphatidylinositol 3-KinasesFemaleHumansJanus Kinase 2Ovarian NeoplasmsPhosphatidylinositol 3-KinasesPhosphorylationProto-Oncogene Proteins c-aktPTEN PhosphohydrolaseAdaptor Proteins, Signal TransducingClass Ia Phosphatidylinositol 3-KinaseClass I Phosphatidylinositol 3-KinasesGAB2 protein, humanJAK2 protein, humanJanus Kinase 2Phosphatidylinositol 3-KinasesPIK3CA protein, humanPIK3R1 protein, humanProto-Oncogene Proteins c-aktPTEN PhosphohydrolasePTEN protein, humanSTAT3 protein, humanSTAT3 Transcription Factor

Identifiers

PMID30755611
PMCPMC6372715
OpenAlexW2911788560

What OpenQuestion 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 OpenQuestion graph.