Evidence map›Paper›PMID 38886738›Full record

ReviewCell division2024

Mitotic kinases are emerging therapeutic targets against metastatic breast cancer.

Alexandra N Aquino-Acevedo, Joel A Orengo-Orengo, Melanie E Cruz-Robles, Harold I Saavedra

Abstract readReview
In one paragraph

Review in Cell division, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Non-Coding RNAs in Breast Cancer: Diagnostic and Therapeutic Implications.International journal of molecular sciences · 2024
    Review
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.

Alexandra N Aquino-Acevedo *Department of Basic Sciences, Ponce Health Sciences University-Ponce Research Institute, 388 Luis Salas Zona Industrial Reparada 2, P.O. Box 7004, Ponce, Puerto Rico, 00716-2347, USA.
Joel A Orengo-Orengo *Department of Basic Sciences, Ponce Health Sciences University-Ponce Research Institute, 388 Luis Salas Zona Industrial Reparada 2, P.O. Box 7004, Ponce, Puerto Rico, 00716-2347, USA.
Melanie E Cruz-Robles *Department of Basic Sciences, Ponce Health Sciences University-Ponce Research Institute, 388 Luis Salas Zona Industrial Reparada 2, P.O. Box 7004, Ponce, Puerto Rico, 00716-2347, USA.
Harold I Saavedra *Department of Basic Sciences, Ponce Health Sciences University-Ponce Research Institute, 388 Luis Salas Zona Industrial Reparada 2, P.O. Box 7004, Ponce, Puerto Rico, 00716-2347, USA. hsaavedra@psm.edu.

Funding

Using MC1R genotype to impact skin cancer risk behaviors in Hispanics/LatinosU54CA163068 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI KENNETH Lynn WRIGHT · 2012 to 2026
$23.1M
Using MC1R genotype to impact skin cancer risk behaviors in Hispanics/LatinosU54CA163071 · NCI · PONCE SCHOOL OF MEDICINE · PI Luisa Morales-Torres · 2012 to 2026
$23.0M
Tracking and Evaluation CoreU54GM133807 · NIGMS · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI LUCIANO, CARLOS A., MOROU-BERMUDEZ, EVANGELIA · 2020 to 2024
$17.7M
Targeting centrosome-mitotic kinases as a novel therapeutic approach against breast cancers in Hispanic/Latinas. Supplement1R01CA266046 · NCI · PONCE SCHOOL OF MEDICINE · PI CRESS, WILLIAM DOUGLAS, SAAVEDRA, HAROLD I · 2022 to 2025
$2.9M
G-RISE at Ponce Health Sciences UniversityT32GM144896 · NIGMS · PONCE SCHOOL OF MEDICINE · PI APPLEYARD, CAROLINE B · 2022 to 2024
$2.0M
National Cancer Institute, United States 2-U54-CA163068-11National Institutes of Health, United States 5T32GM144896NCI NIH HHS R01 CA266046NCI NIH HHS R01CA266046-02NCI NIH HHS U54 CA163068NCI NIH HHS U54 CA163071NIGMS NIH HHS T32 GM144896NIGMS NIH HHS U54 GM133807NIH HHS 5-U54GM133807-04
6 · The paper itself

Abstract

This review aims to outline mitotic kinase inhibitors' roles as potential therapeutic targets and assess their suitability as a stand-alone clinical therapy or in combination with standard treatments for advanced-stage solid tumors, including triple-negative breast cancer (TNBC). Breast cancer poses a significant global health risk, with TNBC standing out as the most aggressive subtype. Comprehending the role of mitosis is crucial for understanding how TNBC advances from a solid tumor to metastasis. Chemotherapy is the primary treatment used to treat TNBC. Some types of chemotherapeutic agents target cells in mitosis, thus highlighting the need to comprehend the molecular mechanisms governing mitosis in cancer. This understanding is essential for devising targeted therapies to disrupt these mitotic processes, prevent or treat metastasis, and improve patient outcomes. Mitotic kinases like Aurora kinase A, Aurora Kinase B, never in mitosis gene A-related kinase 2, Threonine-Tyrosine kinase, and Polo-kinase 1 significantly impact cell cycle progression by contributing to chromosome separation and centrosome homeostasis. When these kinases go awry, they can trigger chromosome instability, increase cell proliferation, and activate different molecular pathways that culminate in a transition from epithelial to mesenchymal cells. Ongoing clinical trials investigate various mitotic kinase inhibitors as potential biological treatments against advanced solid tumors. While clinical trials against mitotic kinases have shown some promise in the clinic, more investigation is necessary, since they induce severe adverse effects, particularly affecting the hematopoietic system.

Indexed as

Aurora kinases a and BCentrosomeMitosisMitotic kinase inhibitorsNEK2PLK1The spindle assembly checkpointTriple-negative breast cancerTTK

Identifiers

PMID38886738
PMCPMC11184769

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.