Evidence map›Paper›PMID 30573522›Full record

ArticleCancer research2019

EGFR and c-MET Cooperate to Enhance Resistance to PARP Inhibitors in Hepatocellular Carcinoma.

Qiongzhu Dong, Yi Du, Hui Li, Chunxiao Liu, Yongkun Wei, Mei-Kuang Chen, Xixi Zhao, Yu-Yi Chu, Yufan Qiu, Lunxiu Qin and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.5field-weighted citation impact, top 8% 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

41 citing papers in PubMed, 67 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

12 authors at 2 institutions in 3 countries.

Qiongzhu Dong *Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Yi Du *Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Hui LiDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Chunxiao LiuDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Yongkun WeiDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Mei-Kuang ChenDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-8027-8990
Xixi ZhaoDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Yu-Yi ChuDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Yufan QiuDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Lunxiu QinDepartment of General Surgery, Huashan Hospital & Cancer Metastasis Institute & Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Hirohito YamaguchiDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas. mhung@mdanderson.org hyamaguc@mdanderson.org.
Mien-Chie HungDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas. mhung@mdanderson.org hyamaguc@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USHuashan Hospital · CN

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Mechanical Drugs: Harnessing Cancer Aggressiveness to Overcome Its ResistanceU01CA201777 · NCI · MASIMO CORPORATION · PI NAULI, SURYA, SHARMA, VIKRANT · 2016 to 2020
$2.4M
Rational Combination Therapy with PARP Inhibitors in Triple Negative Breast CancerR01CA211615 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YANG, LIUQING · 2017 to 2021
$2.1M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA211615NCI NIH HHS U01 CA201777
6 · The paper itself

Abstract

PARP1 inhibitors (PARPi) are currently used in the clinic for the treatment of ovarian and breast cancers, yet their therapeutic efficacy against hepatocellular carcinoma (HCC) has been disappointing. To ensure therapeutic efficacy of PARPi against HCC, a disease often diagnosed at intermediate to advanced stages with no effective treatment options, it is critical to identify not only biomarkers to predict PARPi resistance but also rational treatments to overcome this. Here, we report that a heterodimer of EGFR and MET interacts with and phosphorylates Y907 of PARP1 in the nucleus, which contributes to PARPi resistance. Inhibition of both EGFR and MET sensitized HCC cells to PARPi, and both EGFR and MET are known to be overexpressed in HCC. This report provides an explanation for the poor efficacy of PARPi against HCC and suggests combinatorial treatment consisting of EGFR, MET, and PARP inhibitors may be an effective therapeutic strategy in HCC. SIGNIFICANCE: Regulation of PARP by the c-MET and EGFR heterodimer suggests a potentially effective combination therapy to sensitize HCC to PARPi.

Indexed as

Drug Resistance, NeoplasmAnimalsApoptosisBiomarkers, TumorCarcinoma, HepatocellularCell ProliferationErbB ReceptorsGene Expression Regulation, NeoplasticHumansLiver NeoplasmsMaleMiceMice, Inbred BALB CMice, NudePoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsBiomarkers, TumorEGFR protein, humanErbB ReceptorsMET protein, humanPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsProto-Oncogene Proteins c-met

Identifiers

PMID30573522
PMCPMC6886123
OpenAlexW2905829720

What OpenQuestion holds

Textmetadata
LicenceTDM
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.