Evidence map›Paper›PMID 27283966›Full record

ArticleScientific reports2016

A microscopic landscape of the invasive breast cancer genome.

Zheng Ping, Yuchao Xia, Tiansheng Shen, Vishwas Parekh, Gene P Siegal, Isam-Eldin Eltoum, Jianbo He, Dongquan Chen, Minghua Deng, Ruibin Xi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-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

18 citing papers in PubMed, 54 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

11 authors at 2 institutions in 2 countries.

Zheng PingDepartment of Pathology, Division of Anatomic Pathology,University of Alabama at Birmingham, Birmingham, Alabama 35249, USA.
Yuchao XiaCenter for Quantitative Biology, Peking University, Beijing 100871, China.
Tiansheng ShenDepartment of Pathology, Division of Anatomic Pathology,University of Alabama at Birmingham, Birmingham, Alabama 35249, USA.
Vishwas ParekhDepartment of Pathology, Division of Anatomic Pathology,University of Alabama at Birmingham, Birmingham, Alabama 35249, USA.
Gene P SiegalDepartment of Pathology, Division of Anatomic Pathology,University of Alabama at Birmingham, Birmingham, Alabama 35249, USA.
Isam-Eldin EltoumDepartment of Pathology, Division of Anatomic Pathology,University of Alabama at Birmingham, Birmingham, Alabama 35249, USA.
Jianbo HeDepartment of Medicine, Division of Hematology/Oncology, University of Alabama at Birmingham, Birmingham, Alabama 35249, USA.
Dongquan ChenDivision of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama 35249, USA.
Minghua DengCenter for Quantitative Biology, Peking University, Beijing 100871, China.
Ruibin XiSchool of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing 100871, China.
Dejun ShenDepartment of Pathology, Division of Anatomic Pathology,University of Alabama at Birmingham, Birmingham, Alabama 35249, USA.
University of Alabama at Birmingham · USPeking University · CN

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
WV INBRE: The Inhibitor of Growth Family Member 4 (ING4) inhibits L-Type Amino Acid Transporter 1 (LAT1) expression to suppress Breast CancerP20GM103434 · NIGMS · MARSHALL UNIVERSITY · PI GARY O RANKIN · 2012 to 2026
$61.1M
NCI NIH HHS P30 CA013148NIGMS NIH HHS P20 GM103434
6 · The paper itself

Abstract

Histologic grade is one of the most important microscopic features used to predict the prognosis of invasive breast cancer and may serve as a marker for studying cancer driving genomic abnormalities in vivo. We analyzed whole genome sequencing data from 680 cases of TCGA invasive ductal carcinomas of the breast and correlated them to corresponding pathology information. Ten genetic abnormalities were found to be statistically associated with histologic grade, including three most prevalent cancer driver events, TP53 and PIK3CA mutations and MYC amplification. A distinct genetic interaction among these genomic abnormalities was revealed as measured by the histologic grading score. While TP53 mutation and MYC amplification were synergistic in promoting tumor progression, PIK3CA mutation was found to have alleviated the oncogenic effect of either the TP53 mutation or MYC amplification, and was associated with a significant reduction in mitotic activity in TP53 mutated and/or MYC amplified breast cancer. Furthermore, we discovered that different types of genetic abnormalities (mutation versus amplification) within the same cancer driver gene (PIK3CA or GATA3) were associated with opposite histologic changes in invasive breast cancer. In conclusion, our study suggests that histologic grade may serve as a biomarker to define cancer driving genetic events in vivo.

Indexed as

Biomarkers, TumorBreast NeoplasmsCarcinogenesisClass I Phosphatidylinositol 3-KinasesFemaleGATA3 Transcription FactorGene AmplificationGenome, HumanHumansMutationNeoplasm InvasivenessPrognosisProto-Oncogene Proteins c-mybReceptors, EstrogenTumor Suppressor Protein p53Whole Genome SequencingBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesGATA3 protein, humanGATA3 Transcription FactorPIK3CA protein, humanProto-Oncogene Proteins c-mybReceptors, EstrogenTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID27283966
PMCPMC4901326
OpenAlexW2413219570

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.