Evidence map›Paper›PMID 29276709›Full record

ReviewFrontiers in medicine2017

Tumor Heterogeneity in Breast Cancer.

Gulisa Turashvili, Edi Brogi

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06097156 (Feasibility Evaluation of See.d Pre-Analytical Platform Performance), which is not on this map. Cited by 333 papers.

0numbers the graph read from it
0cells of the map it votes in
333citing papers in PubMed
12.4field-weighted citation impact, top 1% 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.

NCT06097156 recruitingnot on this mapstarted 2023, after this paper: background citation

Feasibility Evaluation of See.d Pre-Analytical Platform Performance: From Whole Blood to Plasma and SBS Slides for Liquid Biopsy Applications

TypeobservationalSponsorTethis S.p.A.Ran2023 to 2026Enrolled45ConditionsHealthy Participants, Breast Cancer
3 · Its place in the literature

Who cites it

333 citing papers in PubMed, 550 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
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  7. Amine-Functionalized and Gold-Decorated Amine-Functionalized TiOInternational journal of molecular sciences · 2026
    Article
  8. Article
  9. Review
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  11. Review
  12. Article
  13. Higher Levels ofMedical sciences (Basel, Switzerland) · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

273 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Gulisa TurashviliDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Edi BrogiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Memorial Sloan Kettering Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease and differs greatly among different patients (intertumor heterogeneity) and even within each individual tumor (intratumor heterogeneity). Clinical and morphologic intertumor heterogeneity is reflected by staging systems and histopathologic classification of breast cancer. Heterogeneity in the expression of established prognostic and predictive biomarkers, hormone receptors, and human epidermal growth factor receptor 2 oncoprotein is the basis for targeted treatment. Molecular classifications are indicators of genetic tumor heterogeneity, which is probed with multigene assays and can lead to improved stratification into low- and high-risk groups for personalized therapy. Intratumor heterogeneity occurs at the morphologic, genomic, transcriptomic, and proteomic levels, creating diagnostic and therapeutic challenges. Understanding the molecular and cellular mechanisms of tumor heterogeneity that are relevant to the development of treatment resistance is a major area of research. Despite the improved knowledge of the complex genetic and phenotypic features underpinning tumor heterogeneity, there has been only limited advancement in diagnostic, prognostic, or predictive strategies for breast cancer. The current guidelines for reporting of biomarkers aim to maximize patient eligibility for targeted therapy, but do not take into account intratumor heterogeneity. The molecular classification of breast cancer is not implemented in routine clinical practice. Additional studies and in-depth analysis are required to understand the clinical significance of rapidly accumulating data. This review highlights inter- and intratumor heterogeneity of breast carcinoma with special emphasis on pathologic findings, and provides insights into the clinical significance of molecular and cellular mechanisms of heterogeneity.

Indexed as

biomarkersbreast cancergenetic markershistopathologytumor heterogeneity

Identifiers

PMID29276709
PMCPMC5727049
OpenAlexW2773992597

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.