Evidence map›Paper›PMID 32747364›Full record

ArticleCancer research2020

A Proof of Concept for Biomarker-Guided Targeted Therapy against Ovarian Cancer Based on Patient-Derived Tumor Xenografts.

Adam C Palmer, Deborah Plana, Hui Gao, Joshua M Korn, Guizhi Yang, John Green, Xiamei Zhang, Roberto Velazquez, Margaret E McLaughlin, David A Ruddy and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  9. Harnessing preclinical models for the interrogation of ovarian cancer.Journal of experimental & clinical cancer research : CR · 2022
    Review
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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

25 authors at 2 institutions in 1 country.

Adam C Palmer *Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-5028-7028
Deborah Plana *Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-4218-1693
Hui Gao *Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Joshua M KornOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Guizhi YangOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
John GreenOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Xiamei ZhangOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Roberto VelazquezOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Margaret E McLaughlinOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
David A RuddyOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Colleen KowalOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Julie MuszynskiOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Caroline BullockOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Stacy RiveraOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Daniel P RakiecOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
GiNell ElliottOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Paul FordjourOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Ronald MeyerOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Alice LooOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Esther KurthOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Jeffrey A EngelmanOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Hans BitterOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
William R SellersOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.ORCID 0000-0002-3539-9803
Juliet A Williams *Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts. peter_sorger@hms.harvard.edu juliet.williams@novartis.com.
Peter K Sorger *Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts. peter_sorger@hms.harvard.edu juliet.williams@novartis.com.ORCID 0000-0002-3364-1838
Harvard University · USUniversity of North Carolina at Chapel Hill · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Systems Pharmacology of Therapeutic and Adverse Responses to ImmuneCheckpoint and Small Molecule DrugsU54CA225088 · NCI · HARVARD MEDICAL SCHOOL · PI SORGER, PETER KARL · 2018 to 2022
$10.8M
NCI NIH HHS U54 CA225088NIGMS NIH HHS T32 GM007753
6 · The paper itself

Abstract

Advanced ovarian cancers are a leading cause of cancer-related death in women and are currently treated with surgery and chemotherapy. This standard of care is often temporarily successful but exhibits a high rate of relapse, after which, treatment options are few. Here we investigate whether biomarker-guided use of multiple targeted therapies, including small molecules and antibody-drug conjugates, is a viable alternative. A panel of patient-derived ovarian cancer xenografts (PDX), similar in genetics and chemotherapy responsiveness to human tumors, was exposed to 21 monotherapies and combination therapies. Three monotherapies and one combination were found to be active in different subsets of PDX. Analysis of gene expression data identified biomarkers associated with responsiveness to each of the three targeted therapies, none of which directly inhibits an oncogenic driver. While no single treatment had as high a response rate as chemotherapy, nearly 90% of PDXs were eligible for and responded to at least one biomarker-guided treatment, including tumors resistant to standard chemotherapy. The distribution of biomarker positivity in The Cancer Genome Atlas data suggests the potential for a similar precision approach in human patients. SIGNIFICANCE: This study exploits a panel of patient-derived xenografts to demonstrate that most ovarian tumors can be matched to effective biomarker-guided treatments.

Indexed as

Antineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarcinoma, Ovarian EpithelialDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMolecular Targeted TherapyOvarian NeoplasmsPrecision MedicineProof of Concept StudyXenograft Model Antitumor AssaysAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID32747364
PMCPMC7541581
OpenAlexW3047178396

What OpenQuestion holds

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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.