Evidence map›Paper›PMID 30327501›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2019

Breast cancer global tumor biomarkers: a quality assurance study of intratumoral heterogeneity.

Beth Z Clark, Agnieszka Onisko, Binara Assylbekova, Xin Li, Rohit Bhargava, David J Dabbs

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Uptake Patterns of [Cancers · 2026
    Article
  3. Article
  4. Reliability of core needle biopsy for HER2-low early-stage breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
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  12. Review
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  15. Review
  16. Morphological intratumor heterogeneity in ductal carcinoma in situ of the breast.Virchows Archiv : an international journal of pathology · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Changing patterns and survival improvements of young breast cancer in China and SEER database, 1999Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2019
    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

6 authors at 2 institutions in 2 countries.

Beth Z ClarkDepartment of Pathology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA. clarkbz@upmc.edu.
Agnieszka OniskoFaculty of Computer Science, Bialystok University of Technology, Bialystok, Poland.
Binara AssylbekovaDepartment of Pathology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Xin LiDepartment of Pathology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Rohit BhargavaFaculty of Computer Science, Bialystok University of Technology, Bialystok, Poland.
David J DabbsFaculty of Computer Science, Bialystok University of Technology, Bialystok, Poland.ORCID http://orcid.org/0000-0002-5569-552X
Bialystok University of Technology · PLMagee-Womens Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarker analysis of invasive breast carcinoma is useful for prognosis, as surrogate for molecular subtypes of breast cancer, and prediction of response to adjuvant and neoadjuvant systemic therapies. Breast cancer intratumoral heterogeneity is incompletely studied. Comprehensive biomarker analysis of estrogen receptor (ER), progesterone receptor (PR), HER2, and Ki67 labeling index was performed on each tissue block of 100 entirely submitted breast tumors in 99 patients. Invasive carcinoma and in situ carcinoma was scored using semiquantitative histologic score (H-score) for ER and PR, HER2 expression from 0 to 3+, and percentage positive cells for Ki67. Core biopsy results were compared with surgical excision results, invasive carcinoma was compared with in situ carcinoma, and interblock tumoral heterogeneity was assessed using measures of dispersion (coefficient of variation and quartile coefficient of dispersion). Overall concordance between core biopsy and surgical excision was 99% for ER and 95% for PR. Mean histologic score of ER was significantly lower in invasive carcinoma between core biopsy and surgical excision (p = 0.000796). Intratumoral heterogeneity was higher for PR than for ER (mean coefficient of variation for ER 0.08 stdv 0.13 vs. PR 0.26 stdv 0.41). Ki67 labeling index was significantly higher in invasive carcinoma as compared with associated ductal carcinoma in situ on surgical resection specimen (p ≤ 0.0001). Ki67 hotspots were identified in 47% of cases. Of 52 HER2 negative cases on core biopsy, 10 were scored as equivocal on surgical resection. None (0/10) were amplified by Her-2/neu fluorescence in situ hybridization. Overall, biomarkers on core biopsy showed concordance with the surgical excision specimen in the vast majority of cases. Biomarker expression of in situ closely approximates associated invasive carcinoma. Intratumoral heterogeneity of PR is greater than ER. Biomarker expression on diagnostic core biopsy or single tumor block is representative of breast carcinoma as a whole in most cases and is appropriate for clinical decision-making.

Indexed as

Quality Assurance, Health CareAdultAgedAged, 80 and overBiomarkers, TumorBiopsy, Large-Core NeedleBreast NeoplasmsFemaleHumansMiddle AgedBiomarkers, Tumor

Identifiers

PMID30327501
OpenAlexW2896917887

What OpenQuestion holds

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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.