Evidence map›Paper›PMID 33191115›Full record

ArticleClinical breast cancer2021

Identifying Genomic Alterations in Patients With Stage IV Breast Cancer Using MammaSeq: An International Collaborative Study.

Osama Shiraz Shah, Atilla Soran, Mustafa Sahin, Beth A Knapick, Serdar Ugras, Esin Celik, Peter C Lucas, Adrian V Lee

Open access · greenAbstract read
In one paragraph

Article in Clinical breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

8 authors at 4 institutions in 2 countries.

Osama Shiraz ShahMagee-Womens Research Institute, Pittsburgh, PA; Integrative Systems Biology Program, University of Pittsburgh, Pittsburgh, PA.
Atilla SoranUPMC Department of Surgery, Pittsburgh, PA.
Mustafa SahinDepartment of General Surgery, Selçuk University, Konya, Turkey.
Beth A KnapickMagee-Womens Research Institute, Pittsburgh, PA.
Serdar UgrasDepartment of Pathology, Selçuk University, Konya, Turkey.
Esin CelikDepartment of Pathology, Selçuk University, Konya, Turkey.
Peter C LucasDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA; UPMC Hillman Cancer Center, Pittsburgh, PA.
Adrian V LeeMagee-Womens Research Institute, Pittsburgh, PA; Women's Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, PA; UPMC Hillman Cancer Center, Pittsburgh, PA; Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA; Institute for Precision Medicine, University of Pittsburgh Cancer Institute, Pittsburgh, PA. Electronic address: leeav@upmc.edu.
Selçuk University · TRUniversity of Pittsburgh · USMagee-Womens Research Institute · USUPMC Health System · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jessie Nedrow · 1988 to 2026
$158.0M
NCI NIH HHS P30 CA047904
6 · The paper itself

Abstract

backgroundIdentification of genomic alterations present in cancer patients may aid in cancer diagnosis, prognosis and therapeutic target discovery. In this study, we aimed to identify clinically actionable variants present in stage IV breast cancer (BC) samples. MATERIALS AND

methodsDNA was extracted from formalin-fixed paraffin-embedded samples of BC (n = 41). DNA was sequenced using MammaSeq, a BC-specific next-generation sequencing panel targeting 79 genes and 1369 mutations. Ion Torrent Suite 4.0 was used to make variant calls on the raw data, and the resulting single nucleotide variants were annotated using the CRAVAT toolkit. Single nucleotide variations (SNVs) were filtered to remove common polymorphisms and germline variants. CNVkit was employed to identify copy number variations (CNVs). The Precision Medicine Knowledgebase (PMKB) and OncoKB Precision Oncology Database were used to associate clinical significance with the identified variants.

resultsA total of 41 samples from Turkish patients with BC were sequenced (read depth of 94-13,340; median of 1529). These patients were diagnosed with various BC subtypes including invasive ductal carcinoma, invasive lobular carcinoma, apocrine BC, and micropapillary BC. In total, 59 different alterations (49 SNVs and 10 CNVs) were identified. From these, 8 alterations (3 CNVs - ERBB2, FGFR1, and AR copy number gains and 5 SNVs - IDH1.R132H, TP53.E204∗, PI3KCA.E545K, PI3KCA.H1047R, and PI3KCA.R88Q) were identified to have some clinical significance by PMKB and OncoKB. Moreover, the top 5 genes with the most SNVs included PIK3CA, TP53, MAP3K1, ATM, and NCOR1. Additionally, copy number gains and losses were found in ERBB2, GRB7, IGFR1, AR, FGFR1, MYC, and IKBKB, and BRCA2, RUNX1, and RB1, respectively.

conclusionWe identified 59 unique alterations in 38 genes in 41 stage IV BC tissue samples using MammaSeq

Indexed as

DNA Copy Number VariationsBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularFemaleGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansNeoplasm InvasivenessNeoplasm StagingClinical genomicsClinical utilityNGS panelTargeted next generation sequencingTurkish population

Identifiers

PMID33191115
PMCPMC11572555
OpenAlexW3058212111

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Registered trials

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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.