Evidence map›Paper›PMID 31685261›Full record

ArticleMayo Clinic proceedings2020

Integration of Comprehensive Genomic Analysis and Functional Screening of Affected Molecular Pathways to Inform Cancer Therapy.

George Vasmatzis, Minetta C Liu, Sowjanya Reganti, Ryan W Feathers, James Smadbeck, Sarah H Johnson, Janet L Schaefer Klein, Faye R Harris, Lin Yang, Farhad Kosari and 5 more

Open access · greenAbstract readCase Reports
In one paragraph

Article in Mayo Clinic proceedings, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

11 citing papers in PubMed, 13 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

15 authors at 6 institutions in 1 country.

George VasmatzisMolecular Medicine and Biomarker Discovery Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN. Electronic address: Vasmatzis.George@mayo.edu.
Minetta C LiuOncology, Mayo Clinic, Rochester, MN; Laboratory Medicine and Pathology, Rochester, MN.
Sowjanya RegantiCancer Care Specialists, Reno, NV.
Ryan W FeathersCancer Biology, Mayo Clinic, Jacksonville, FL.
James SmadbeckMolecular Medicine and Biomarker Discovery Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN.
Sarah H JohnsonMolecular Medicine and Biomarker Discovery Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN.
Janet L Schaefer KleinMolecular Medicine and Biomarker Discovery Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN.
Faye R HarrisMolecular Medicine and Biomarker Discovery Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN.
Lin YangMolecular Medicine and Biomarker Discovery Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN.
Farhad KosariMolecular Medicine and Biomarker Discovery Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN.
Stephen J MurphyMolecular Medicine and Biomarker Discovery Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN.
Mitesh J BoradMolecular Medicine and Medical Oncology, Mayo Clinic, Phoenix, AZ.
E Aubrey ThompsonCancer Biology, Mayo Clinic, Jacksonville, FL.
John C ChevilleLaboratory Medicine and Pathology, Rochester, MN.
Panos Z AnastasiadisCancer Biology, Mayo Clinic, Jacksonville, FL. Electronic address: panos@mayo.edu.
Mayo Clinic · USMayo Clinic in Florida · USCancer Care Specialists of Illinois · USJacksonville College · USMayo Clinic Hospital · USUniversity of Minnesota Rochester · US

Funding

Utility of serum and Tissue Biomarkers for Predicting Response to Androgen DeprivP50CA091956 · NCI · MAYO CLINIC ROCHESTER · PI TINDALL, DONALD J. · 2001 to 2010
$23.4M
Role of the Syx-RhoA signaling axis in glioma cell growth and disseminationR01NS101721 · NINDS · MAYO CLINIC JACKSONVILLE · PI ANASTASIADIS, PANAGIOTIS Z. · 2018 to 2022
$1.4M
NCI NIH HHS P50 CA091956NINDS NIH HHS R01 NS101721
6 · The paper itself

Abstract

objectiveTo select optimal therapies based on the detection of actionable genomic alterations in tumor samples is a major challenge in precision medicine.

methodsWe describe an effective process (opened December 1, 2017) that combines comprehensive genomic and transcriptomic tumor profiling, custom algorithms and visualization software for data integration, and preclinical 3-dimensiona ex vivo models for drug screening to assess response to therapeutic agents targeting specific genomic alterations. The process was applied to a patient with widely metastatic, weakly hormone receptor positive, HER2 nonamplified, infiltrating lobular breast cancer refractory to standard therapy.

resultsClinical testing of liver metastasis identified BRIP1, NF1, CDH1, RB1, and TP53 mutations pointing to potential therapies including PARP, MEK/RAF, and CDK inhibitors. The comprehensive genomic analysis identified 395 mutations and several structural rearrangements that resulted in loss of function of 36 genes. Meta-analysis revealed biallelic inactivation of TP53, CDH1, FOXA1, and NIN, whereas only one allele of NF1 and BRIP1 was mutated. A novel ERBB2 somatic mutation of undetermined significance (P702L), high expression of both mutated and wild-type ERBB2 transcripts, high expression of ERBB3, and a LITAF-BCAR4 fusion resulting in BCAR4 overexpression pointed toward ERBB-related therapies. Ex vivo analysis validated the ERBB-related therapies and invalidated therapies targeting mutations in BRIP1 and NF1. Systemic patient therapy with afatinib, a HER1/HER2/HER4 small molecule inhibitor, resulted in a near complete radiographic response by 3 months.

conclusionUnlike clinical testing, the combination of tumor profiling, data integration, and functional validation accurately assessed driver alterations and predicted effective treatment.

Indexed as

AlgorithmsBreast NeoplasmsCarcinoma, LobularDNA Mutational AnalysisFemaleGenes, NeoplasmGenomicsHumansMiddle AgedNeoplasm MetastasisPrecision Medicine

Identifiers

PMID31685261
PMCPMC7251931
OpenAlexW2988519552

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.