Evidence map›Paper›PMID 28721382›Full record

ArticleNPJ breast cancer2016

The molecular landscape of high-risk early breast cancer: comprehensive biomarker analysis of a phase III adjuvant population.

Timothy R Wilson, Jianjun Yu, Xuyang Lu, Jill M Spoerke, Yuanyuan Xiao, Carol O'Brien, Heidi M Savage, Ling-Yuh Huw, Wei Zou, Hartmut Koeppen and 10 more

Abstract read
In one paragraph

Article in NPJ breast cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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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

20 authors.

Timothy R WilsonDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Jianjun YuDepartment of Biostatistics, Genentech Inc., South San Francisco, CA, USA.
Xuyang LuDepartment of Biostatistics, Genentech Inc., South San Francisco, CA, USA.
Jill M SpoerkeDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Yuanyuan XiaoDepartment of Biostatistics, Genentech Inc., South San Francisco, CA, USA.
Carol O'BrienDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Heidi M SavageDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Ling-Yuh HuwDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Wei ZouDepartment of Biostatistics, Genentech Inc., South San Francisco, CA, USA.
Hartmut KoeppenDepartment of Research Pathology, Genentech Inc., South San Francisco, CA, USA.
William F ForrestDepartment of Bioinformatics, Genentech Inc., South San Francisco, CA, USA.
Jane FridlyandDepartment of Biostatistics, Genentech Inc., South San Francisco, CA, USA.
Ling FuDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Rachel TamDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Erica B SchleifmanDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Teiko SumiyoshiDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Luciana MolineroDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Garret M HamptonDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.
Joyce A O'ShaughnessyUS Oncology, Dallas, TX, USA.
Mark R LacknerDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease and patients are managed clinically based on ER, PR, HER2 expression, and key risk factors. We sought to characterize the molecular landscape of high-risk breast cancer patients enrolled onto an adjuvant chemotherapy study to understand how disease subsets and tumor immune status impact survival. DNA and RNA were extracted from 861 breast cancer samples from patients enrolled onto the United States Oncology trial 01062. Samples were characterized using multiplex gene expression, copy number, and qPCR mutation assays. HR

Identifiers

PMID28721382
PMCPMC5515335

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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.