Evidence map›Paper›PMID 36060015›Full record

ArticleCancer diagnosis & prognosis

KIFC1: A Reliable Prognostic Biomarker in Rb-positive Triple-negative Breast Cancer Patients Treated With Doxorubicin in Combination With Abemaciclib.

Brett Fleisher, Carolin Werkman, Brehanna Jacobs, Justin Varkey, Kareem Taha, Sihem Ait-Oudhia

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Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

6 authors.

Brett FleisherCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, College of Pharmacy, Orlando, FL, U.S.A.
Carolin WerkmanCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, College of Pharmacy, Orlando, FL, U.S.A.
Brehanna JacobsCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, College of Pharmacy, Orlando, FL, U.S.A.
Justin VarkeyCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, College of Pharmacy, Orlando, FL, U.S.A.
Kareem TahaCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, College of Pharmacy, Orlando, FL, U.S.A.
Sihem Ait-OudhiaQuantitative Pharmacology and Pharmacometrics (QP2), Merck & Co., Inc, Kenilworth, NJ, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimTriple-negative breast cancer (TNBC) prevalence and risk of relapse are greatest in African American (AA) patients. Doxorubicin (DOX) and abemaciclib (ABE) synergism in Rb-positive TNBC cells (MDA-MB-231), and antagonism in Rb-negative TNBC cells (MDA-MB-468) have been previously shown. Here, we assessed Kinesin-like protein 1 (KIFC1) as an ethnic-specific prognostic biomarker of the DOX+ABE combination for the Rb-status in TNBC. MATERIALS AND

methodsLiterature search for TNBC prognostic biomarkers in the AA population was conducted. MDA-MB-231 and MDA-MB-468 cells were exposed over 72 h to four treatment arms: 1) control (medium without drug), 2) DOX at 50% inhibitory concentration in MDA-MB-231 (0.565 μM) and MDA-MB-468 (0.121 μM), 3) ABE alone (2 μM), and 4) DOX+ABE combination at their corresponding concentrations in each cell-line. KIFC1 protein expression and temporal changes were quantified in MDA-MB-231 cells using western blot.

resultsKIFC1, Kaiso, and Annexin A2 are literature-identified AA-specific TNBC prognostic biomarkers. KIFC1 was found to be uncorrelated to other proposed biomarkers, suggesting it may predict risk independently of other TNBC biomarkers. In both cell lines, DOX alone did not significantly change KIFC1 expression relative to control. Conversely, ABE reduced KIFC1 expression in MDA-MB-231 but not in MDA-MB-468 cells. The combination DOX+ABE resulted in a greatest reduction in KIFC1 in MDA-MB-231 cells with a more rapid time-to-full inhibition of KIFC1 compared to ABE alone.

conclusionChange in KIFC1 expression is primarily driven by ABE in Rb-positive TNBC cells. DOX increases ABE speed to achieve a full inhibition of KIFC1 in Rb-positive, yet, without influencing its expression in Rb-negative TNBC cells.

Indexed as

anthracyclineCDK4/6 inhibitorcombination therapyPrognosis

Identifiers

PMID36060015
PMCPMC9425577

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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.