Evidence map›Paper›PMID 35288936›Full record

ArticleClinical pharmacology and therapeutics2022

Biomarkers for Predicting Abiraterone Treatment Outcome and Selecting Alternative Therapies in Castration-Resistant Prostate Cancer.

Sisi Qin, Huanyao Gao, Wootae Kim, Huan Zhang, Yayun Gu, Krishna R Kalari, Jason P Sinnwell, Jodi A Scholz, Fang Xie, Ping Yin and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2022. 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
1.8field-weighted citation impact, top 14% 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, 12 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

18 authors at 5 institutions in 1 country.

Sisi QinDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Huanyao GaoDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Wootae KimDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Huan ZhangDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Yayun GuDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Krishna R KalariDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Jason P SinnwellDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Jodi A ScholzDepartment of Comparative Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Fang XieDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Ping YinDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Jia YuDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Bo QinDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Yongxian ZhuangDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Lixuan WeiDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Winston TanDivision of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic, Jacksonville, Florida, USA.
Alan H BryceDivision of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic, Phoenix, Arizona, USA.
Richard M WeinshilboumDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Liewei WangDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
WinnMed · USMayo Clinic · USMayo Clinic in Florida · USJacksonville College · USMayo Clinic in Arizona · US

Funding

Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
INHERITED VARIATIONS IN DRUG-METABOLIZING ENZYMESR01GM028157 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 1985 to 2019
$6.9M
Pharmacogenomic regulation of CYP transcription by TSPYL genesR01GM125633 · NIGMS · MAYO CLINIC ROCHESTER · PI WANG, LIEWEI · 2018 to 2021
$1.2M
NIGMS NIH HHS R01 GM028157NIGMS NIH HHS R01 GM125633NIGMS NIH HHS U19 GM061388
6 · The paper itself

Abstract

Approximately one-third of patients with metastatic castration-resistant prostate cancer (CRPC) exhibited primary abiraterone resistance. To identify alternative treatment for abiraterone nonresponders, we performed drug discovery analyses using the L1000 database using differentially expressed genes identified in tumor biopsies and patient-derived xenograft (PDX) tumors between abiraterone responders and nonresponders enrolled in PROMOTE trial. This approach identified 3 drugs, including topoisomerase II (TOP2) inhibitor mitoxantrone, CDK4/6 inhibitor palbociclib, and pan-CDK inhibitor PHA-793887. These drugs significantly suppressed the growth of abiraterone-resistant cell lines and PDX models. Moreover, we identified 11 genes targeted by all 3 drugs that were associated with worse outcomes in both the PROMOTE and Stand Up To Cancer cohorts. This 11-gene panel might also function as biomarkers to select the 3 alternative therapies for this subgroup of patients with CRPC, warranting further clinical investigation.

Indexed as

Complementary TherapiesProstatic Neoplasms, Castration-ResistantAndrostenesBiomarkersHumansMaleTreatment OutcomeabirateroneAndrostenesBiomarkers

Identifiers

PMID35288936
PMCPMC9124371
OpenAlexW4221059008

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.