Evidence map›Paper›PMID 36847915›Full record

ArticleBreast cancer research and treatment2023

Effective combination treatments for breast cancer inhibition by FOXM1 inhibitors with other targeted cancer drugs.

Valeria Sanabria Guillen, Yvonne Ziegler, Chirag Gopinath, Sandeep Kumar, Parama Dey, Blake N Plotner, Nadia Z Dawson, Sung Hoon Kim, John A Katzenellenbogen, Benita S Katzenellenbogen

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Article in Breast cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 14 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

10 authors at 1 institution in 1 country.

Valeria Sanabria GuillenDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Yvonne ZieglerDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Chirag GopinathDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Sandeep KumarDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Parama DeyDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Blake N PlotnerDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Nadia Z DawsonDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Sung Hoon KimDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
John A KatzenellenbogenDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Benita S KatzenellenbogenDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA. katzenel@illinois.edu.ORCID http://orcid.org/0000-0002-8847-2752
University of Illinois Urbana-Champaign · US

Funding

Chemical, structural and molecular rules for fully antagonizing the estrogen receptorR01CA220284 · NCI · UNIVERSITY OF FLORIDA · PI KATZENELLENBOGEN, BENITA S, KATZENELLENBOGEN, JOHN A. · 2018 to 2022
$2.8M
Breast Cancer Research Foundation BCRF-083Breast Cancer Research Foundation BCRF-084NCI NIH HHS 1R01 CA220284
6 · The paper itself

Abstract

purposeFew targeted treatment options currently exist for patients with advanced, often recurrent breast cancers, both triple-negative breast cancer (TNBC) and hormone receptor-positive breast cancer. Forkhead box M1 (FOXM1) is an oncogenic transcription factor that drives all cancer hallmarks in all subtypes of breast cancer. We previously developed small-molecule inhibitors of FOXM1 and to further exploit their potential as anti-proliferative agents, we investigated combining FOXM1 inhibitors with drugs currently used in the treatment of breast and other cancers and assessed the potential for enhanced inhibition of breast cancer.

methodsFOXM1 inhibitors alone and in combination with other cancer therapy drugs were assessed for their effects on suppression of cell viability and cell cycle progression, induction of apoptosis and caspase 3/7 activity, and changes in related gene expressions. Synergistic, additive, or antagonistic interactions were evaluated using ZIP (zero interaction potency) synergy scores and the Chou-Talalay interaction combination index.

resultsThe FOXM1 inhibitors displayed synergistic inhibition of proliferation, enhanced G2/M cell cycle arrest, and increased apoptosis and caspase 3/7 activity and associated changes in gene expression when combined with several drugs across different pharmacological classes. We found especially strong enhanced effectiveness of FOXM1 inhibitors in combination with drugs in the proteasome inhibitor class for ER-positive and TNBC cells and with CDK4/6 inhibitors (Palbociclib, Abemaciclib, and Ribociclib) in ER-positive cells.

conclusionThe findings suggest that the combination of FOXM1 inhibitors with several other drugs might enable dose reduction in both agents and provide enhanced efficacy in treatment of breast cancer.

Indexed as

Antineoplastic AgentsBreast NeoplasmsTriple Negative Breast NeoplasmsCaspase 3Cell Line, TumorCell ProliferationFemaleForkhead Box Protein M1HumansNeoplasm Recurrence, LocalAntineoplastic AgentsCaspase 3Forkhead Box Protein M1FOXM1 protein, humanBreast cancer suppressionCDK4/6FOXM1 inhibitorsInhibitorsProteasome inhibitorsSynergy

Identifiers

PMID36847915
OpenAlexW4322496596

What OpenQuestion holds

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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.