Evidence map›Paper›PMID 34503265›Full record

ReviewCancers2021

Ki-67 as a Prognostic Biomarker in Invasive Breast Cancer.

Matthew G Davey, Sean O Hynes, Michael J Kerin, Nicola Miller, Aoife J Lowery

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed, 3 pooled it
14.5field-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.

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

174 citing papers in PubMed, 3 syntheses or guidelines pooled it, 260 citations in OpenAlex.

  1. Association of tumor-infiltrating lymphocytes with clinical outcomes in patients with triple-negative breast cancer receiving neoadjuvant chemotherapy: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
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  9. Predicting ki-67 expression in breast cancer via transformer and multiple instance learning on DCE-MRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
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  11. Cancers · 2026
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  12. Review
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  15. Article
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  17. Review
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  19. Evaluating the Performance of Large Language Models for Breast Cancer Patient Education: A Comparative Study.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  20. Article

114 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

5 authors at 1 institution in 1 country.

Matthew G DaveyDiscipline of Surgery, The Lambe Institute for Translational Research, National University of Ireland, H91 YR71 Galway, Ireland.ORCID 0000-0002-9892-9920
Sean O HynesDepartment of Histopathology, National University of Ireland, H91 YR71 Galway, Ireland.ORCID 0000-0002-3092-7945
Michael J KerinDiscipline of Surgery, The Lambe Institute for Translational Research, National University of Ireland, H91 YR71 Galway, Ireland.
Nicola MillerDiscipline of Surgery, The Lambe Institute for Translational Research, National University of Ireland, H91 YR71 Galway, Ireland.
Aoife J LoweryDiscipline of Surgery, The Lambe Institute for Translational Research, National University of Ireland, H91 YR71 Galway, Ireland.
Ollscoil na Gaillimhe – University of Galway · IE

Funding

National Breast Cancer Research Institute, Ireland 2021
6 · The paper itself

Abstract

The advent of molecular medicine has transformed breast cancer management. Breast cancer is now recognised as a heterogenous disease with varied morphology, molecular features, tumour behaviour, and response to therapeutic strategies. These parameters are underpinned by a combination of genomic and immunohistochemical tumour factors, with estrogen receptor (ER) status, progesterone receptor (PgR) status, human epidermal growth factor receptor-2 (HER2) status, Ki-67 proliferation indices, and multigene panels all playing a contributive role in the substratification, prognostication and personalization of treatment modalities for each case. The expression of Ki-67 is strongly linked to tumour cell proliferation and growth and is routinely evaluated as a proliferation marker. This review will discuss the clinical utility, current pitfalls, and promising strategies to augment Ki-67 proliferation indices in future breast oncology.

Indexed as

biomarkerbreast cancerKi-67MIB-1personalised medicine

Identifiers

PMID34503265
PMCPMC8430879
OpenAlexW3197162231

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.