Evidence map›Paper›PMID 29373911›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2018

Can Histological Grade and Mitotic Index Replace Ki67 to Determine Luminal Breast Cancer Subtypes?

David Oddó, Dahiana Pulgar, Nicole Elgueta, Francisco Acevedo, Dravna Razmiliz, María Elena Navarro, Mauricio Camus, Tomás Merino, Ignacio Retamal, Alejandra Pérez-Sepúlveda and 4 more

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Article in Asian Pacific journal of cancer prevention : APJCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

David OddóDepartment of Pathology, School of Medicine, Pontificia Universidad Católica de Chile, Chile. Email: csanchez@med.puc.cl
Dahiana Pulgar
Nicole Elgueta
Francisco Acevedo
Dravna Razmiliz
María Elena Navarro
Mauricio Camus
Tomás Merino
Ignacio Retamal
Alejandra Pérez-Sepúlveda
Alejandra Villarroel
Héctor Galindo
José Peña
César Sánchez

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Breast cancer can be classified into subtypes based on immunohistochemical markers, with Ki67 expression levels being used to divide luminal BC tumors in luminal A and B subtypes; however, Ki67 is not routinely determined due to a lack of standardization. Objective: To evaluate histological grade and Eliminate: the mitotic index to determine if they can be used as an alternative method to Ki67 staining for luminal subtype definition. Methods: We evaluated estrogen receptor positive breast cancer tissue samples. Pathological analysis included determination of Ki67. A low level of Ki67 was defined as <14% positive cells. Results: We evaluated 151 breast cancer samples; 24 (15,9%) were classified as I; 74 as HG II (49%), and 53 (35,1%) as HG III. The median value for Ki67 was 13% (range: <1% - 82%) and for MI was 2 (0-12). Histological grade I tumors exhibited Ki67 values significantly lower than HG II and III tumors (Anova, Tamhane test p=0,001). A higher Ki67 value was related to a higher MI (Rho Sperman p=0,336; R2= 0,0273). ROC curve analysis determined that a MI ≥ 3 had a sensibility of 61.9% and specificity of 66.7% in predicting a high Ki67 value (≥14%) (area under the curve: 0,691; p =0,0001). A HG I tumor or HG II-III with MI ≤2, had a high probability of corresponding to a LA tumor (76,3%), as defined using Ki67 expression, while the probability of a LB subtype was higher with HG II-III and a MI ≥3 (57.4%). Global discrimination was 68.1%. Conclusions: For the LA subtype, our predictive model showed a good correlation of HG and MI with the classification based on Ki67<14%. In the LB subtype, the model showed a weak correlation; therefore Ki67 determination seems to be needed for this group of patients.

Indexed as

Breast neoplasmshistologyKi67 antigenmitotic index

Identifiers

PMID29373911
PMCPMC5844615

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