Evidence map›Paper›PMID 29992418›Full record

ArticleBreast cancer research and treatment2018

Intra-tumor molecular heterogeneity in breast cancer: definitions of measures and association with distant recurrence-free survival.

Ashirbani Saha, Michael R Harowicz, Elizabeth Hope Cain, Allison H Hall, Eun-Sil Shelley Hwang, Jeffrey R Marks, Paul Kelly Marcom, Maciej A Mazurowski

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Beyond Genetics: Metastasis as an Adaptive Response in Breast Cancer.International journal of molecular sciences · 2022
    Review
  7. Review
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 1 institution in 1 country.

Ashirbani SahaDepartment of Radiology, Duke University School of Medicine, Durham, NC, 27705, USA. ashirbani.saha@duke.edu.ORCID http://orcid.org/0000-0002-7650-1720
Michael R HarowiczDepartment of Radiology, Duke University School of Medicine, Durham, NC, 27705, USA.
Elizabeth Hope CainDepartment of Radiology, Duke University School of Medicine, Durham, NC, 27705, USA.
Allison H HallDepartment of Pathology, Duke University School of Medicine, Durham, NC, 27710, USA.
Eun-Sil Shelley HwangDepartment of Surgical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA.
Jeffrey R MarksDepartment of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA.
Paul Kelly MarcomDepartment of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA.
Maciej A MazurowskiDepartment of Radiology, Duke University School of Medicine, Durham, NC, 27705, USA.
Duke University · US

Funding

(PQC3) Genomic Diversity and Microenvironment as Drivers of Metastasis in DCISR01CA185138 · NCI · DUKE UNIVERSITY · PI HWANG, E.SHELLEY, MALEY, CARLO · 2014 to 2017
$2.0M
Machine learning and collaborative filtering tools for personalized education in digital breast tomosynthesisR01EB021360 · NIBIB · DUKE UNIVERSITY · PI MAZUROWSKI, MACIEJ A. · 2016 to 2019
$1.6M
NCI NIH HHS R01 CA185138NIBIB NIH HHS R01 EB021360NIH HHS 1R01EB021360NIH HHS 5R01CA185138-01
6 · The paper itself

Abstract

purposeThe purpose of the study was to define quantitative measures of intra-tumor heterogeneity in breast cancer based on histopathology data gathered from multiple samples on individual patients and determine their association with distant recurrence-free survival (DRFS).

methodsWe collected data from 971 invasive breast cancers, from 1st January 2000 to 23rd March 2014, that underwent repeat tumor sampling at our institution. We defined and calculated 31 measures of intra-tumor heterogeneity including ER, PR, and HER2 immunohistochemistry (IHC), proliferation, EGFR IHC, grade, and histology. For each heterogeneity measure, Cox proportional hazards models were used to determine whether patients with heterogeneous disease had different distant recurrence-free survival (DRFS) than those with homogeneous disease.

resultsThe presence of heterogeneity in ER percentage staining was prognostic of reduced DRFS with a hazard ratio of 4.26 (95% CI 2.22-8.18, p < 0.00002). It remained significant after controlling for the ER status itself (p < 0.00062) and for patients that had chemotherapy (p < 0.00032). Most of the heterogeneity measures did not show any association with DRFS despite the considerable sample size.

conclusionsIntra-tumor heterogeneity of ER receptor status may be a predictor of patient DRFS. Histopathologic data from multiple tissue samples may offer a view of tumor heterogeneity and assess recurrence risk.

Indexed as

Biomarkers, TumorAdultAgedAged, 80 and overBreast NeoplasmsDisease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalNeoplasm StagingPrognosisProportional Hazards ModelsBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenBreast cancerDistant recurrence-free survivalImmunohistochemistryIntra-tumor heterogeneityReceptor statusSurvival analysis

Identifiers

PMID29992418
PMCPMC6588400
OpenAlexW2815629760

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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.