Evidence map›Paper›PMID 34158798›Full record

ArticleBreast cancer : basic and clinical research2021

KI-67 LI Expression in Triple-Negative Breast Cancer Patients and Its Significance.

Maria A Arafah, Abderrahman Ouban, Omar Z Ameer, Ko Jin Quek

Open access · goldAbstract read
In one paragraph

Article in Breast cancer : basic and clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 3 institutions in 2 countries.

Maria A ArafahDepartment of Pathology, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Abderrahman OubanDepartment of Pathology, College of Medicine, Alfaisal University, Riyadh, Kingdom of Saudi Arabia.ORCID https://orcid.org/0000-0002-4311-6295
Omar Z AmeerDepartment of Pharmaceutical Sciences, College of Pharmacy, Alfaisal University, Riyadh, Kingdom of Saudi Arabia.
Ko Jin QuekFaculty of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia.
Alfaisal University · SAKing Saud University · SAMacquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTriple-negative breast cancer (TNBC) is a subset of breast cancer which is known to carry a poor prognosis because of lack of targets for hormonal therapy. Research efforts have focused in recent years on discovering biomarkers of management in TNBCs. KI-67 Labelling Index (LI) is a nuclear protein which has proven to play diagnostic and prognostic roles in many cancers. MATERIALS AND

methodsWe analysed the expression of KI-67 LI by immunohistochemistry in TNBC cases from the University hospital. This expression was cross-checked against clinical-pathological criteria of TNBC patients and against Vimentin expression in TNBC patients with significant KI-67 expression.

resultsKI-67 LI was significantly expressed in the majority of TNBC cases. This expression was significantly correlated with lymph node metastases, tumour invasion, high tumour nuclear grade, clinical stage, adverse survival outcome, and failure to achieve pathological complete response. TNBCs' KI-67 LI expression was also correlated with Vimentin expression, the mesenchymal chief marker of the EMT phenomenon.

conclusionCollectively, our study presents a strong argument for the use of KI-67 LI as a biomarker of aggressive, metastatic TNBC disease with poor outcome. This study, along with mounting evidence in the scientific literature, presents a case for the use of this nuclear protein in diagnosis, prognosis, and follow-up of patients with this difficult diagnosis.

Indexed as

Breast cancerEMTKI-67 LIprognosisVimentin

Identifiers

PMID34158798
PMCPMC8186110
OpenAlexW3165915571

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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.