Evidence map›Paper›PMID 37273492›Full record

ArticleJournal of cancer biology2023

Cyclin A2 and Ki-67 proliferation markers could be used to identify tumors with poor prognosis in African American women with breast cancer.

Desta Beyene, Tammey Naab, Victor Apprey, Luisel Ricks-Santi, Ashwini Esnakula, Mustafa Qasim, Mathew George, Karen G Minoza, Robert L Copeland, Carolyn Broome and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 5 institutions in 1 country.

Desta BeyeneHoward University Cancer Center, Washington, DC 20060, U.S.A.
Tammey NaabPathology Department, Howard University Hospital, Washington, DC 20060, U.S.A.
Victor AppreyHoward University Cancer Center, Washington, DC 20060, U.S.A.
Luisel Ricks-SantiDepartment of Pharmacotherapy and Translational Research, College of Medicine, University of Florida, Gainesville, FL 32610, U.S.A.
Ashwini EsnakulaPathology Department, James Comprehensive Cancer Center, Columbus, OH 43210, U.S.A.
Mustafa QasimDepartment of Microbiology, Howard University College of Medicine, Washington, DC 20059, U.S.A.
Mathew GeorgeDepartment of Biochemistry, Howard University, College of Medicine, Washing, DC 20059, U.S.A.
Karen G MinozaDivision of Trauma, Critical Care and Acute Care Surgery, Department of Surgery, Oregon Health & Science University, Portland, OR 97239, U.S.A.
Robert L CopelandDepartment of Pharmacology, Howard University College of Medicine, Washington, DC 20059, U.S.A.
Carolyn BroomeDepartment of Biochemistry, Howard University, College of Medicine, Washing, DC 20059, U.S.A.
Yasmine KanaanHoward University Cancer Center, Washington, DC 20060, U.S.A.
Howard University · USHoward University Hospital · USOregon Health & Science University · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USUniversity of Florida · US

Funding

UVDM01RR010284 · NCRR · HOWARD UNIVERSITY · PI TAYLOR, ROBERT E. · 1996 to 2010
$17.4M
NCRR NIH HHS M01 RR010284
6 · The paper itself

Abstract

Background: Diagnosed invasive breast carcinomas in African American patients are more aggressive compared with those in Caucasian patients and diagnosed at later stages of the disease with higher grade tumors. Despite advances in breast cancer systemic treatment, new prognostic and predictive biomarkers are still needed. Therefore, potential biomarkers were chosen to correlate with different subtypes, recurrence, and survival of invasive breast cancer in a cohort of African American women. Methods: Eight protein biomarkers (ER, PR, HER2, Cyclin A2, Cytokeratin 5, Vimentin, Bcl2, and Ki-67) were evaluated using tissue microarrays (TMAs) and immunohistochemistry (IHC). The IHC results from TMAs were analyzed by both supervised and unsupervised clustering methods. The predictive clusters for the supervised and unsupervised methods were compared for agreement with the empirical classification. Kappa values were used to determine the overall percent correct clusters and agreement between specific clusters. Chi-square statistics was used to examine the association between hierarchical and multinomial logistic clustering methods. Results: Five subtypes of breast tumors with distinct protein expression patterns were identified among the studied 166 breast tumors. Luminal B tumors have been distinguished from luminal A tumors by staining for cell cycle proteins Cyclin A2 and Ki-67, which promote cell proliferation. Forty-nine percent were stained positive for Cyclin A2, 39.2% positive for Ki-67, and 37% positive for both Cyclin A2 and Ki-67. The age of patients did not show any significant effect whether five (p-value= 0.576) or eight (p-value= 0.605) biomarkers were used, which indicating that age did not have any influence on the classification of the subtypes. Ninety percent of the thirty triple negative tumors were positive for Cyclin A2 or Ki-67 or both. Six-year overall survival was better for luminal A tumors (76%) than luminal B tumors (71%). Likewise, six-year relapse-free survival was better for luminal A tumors (76%) than luminal B tumors (29%). Conclusion: Discovery of molecular markers such as Cyclin A2 and Ki-67, and subtypes that are most prevalent in African Americans could lead to a better understanding of the factors contributing to higher morbidity and mortality in this group and to aid in decision-making to offer earlier treatment.

Indexed as

African AmericanBreast cancerBreast cancer subtypesCluster analysisProtein markers

Identifiers

PMID37273492
PMCPMC10238075
OpenAlexW4321447444

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.