Evidence map›Paper›PMID 34011996›Full record

ArticleScientific reports2021

Unique evolutionary trajectories of breast cancers with distinct genomic and spatial heterogeneity.

Tanya N Phung, Timothy H Webster, Elizabeth Lenkiewicz, Smriti Malasi, Mariacarla Andreozzi, Ann E McCullough, Karen S Anderson, Barbara A Pockaj, Melissa A Wilson, Michael T Barrett

Open access · goldAbstract readCase Reports
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 58% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

10 authors at 4 institutions in 1 country.

Tanya N PhungSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Timothy H WebsterSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Elizabeth LenkiewiczDivision of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA.
Smriti MalasiDivision of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA.
Mariacarla AndreozziDivision of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA.
Ann E McCulloughDepartment of Pathology and Laboratory Medicine, Mayo Clinic in Arizona, Scottsdale, AZ, USA.
Karen S AndersonBiodesign Institute, Arizona State University, Tempe, AZ, USA.
Barbara A PockajDivision of General Surgery, Section of Surgical Oncology, Mayo Clinic in Arizona, Phoenix, AZ, USA.
Melissa A WilsonSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Michael T BarrettDivision of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA. Barrett.michael@mayo.edu.
Arizona State University · USMayo Clinic in Arizona · USMayo Clinic in Florida · USWinnMed · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI AKHILESH PANDEY · 1985 to 2026
$151.3M
NCI NIH HHS P30 CA015083
6 · The paper itself

Abstract

Breast cancers exhibit intratumoral heterogeneity associated with disease progression and therapeutic resistance. To define the sources and the extent of heterogeneity, we performed an in-depth analysis of the genomic architecture of three chemoradiation-naïve breast cancers with well-defined clinical features including variable ER, PR, ERBB2 receptor expression and two distinct pathogenic BRCA2

Indexed as

Evolution, MolecularAneuploidyBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastHumansBiomarkers, Tumor

Identifiers

PMID34011996
PMCPMC8134446
OpenAlexW3162258078

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.