Evidence map›Paper›PMID 41191189›Full record

ArticleDiscover oncology2025

Aurora Kinase A inhibitor alisertib failed to exert its efficacy on TNBC cells due to consequential enrichment of polyploid giant cancer cells (PGCCs).

Debanjan Thakur, Debomita Sengupta, Shinjini Kar, Jayanta Chakrabarti, Sagar Sen, Srabanti Hajra, Arka Laha, Elizabeth Mahapatra, Salini Das, Parimal Karmakar and 1 more

Abstract read
In one paragraph

Article in Discover oncology, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Debanjan ThakurDepartment of Environmental Carcinogenesis & Toxicology, Chittaranjan National Cancer Institute, 37, S. P. Mukherjee Road, Kolkata, West Bengal, 700026, India.
Debomita SenguptaDepartment of Environmental Carcinogenesis & Toxicology, Chittaranjan National Cancer Institute, 37, S. P. Mukherjee Road, Kolkata, West Bengal, 700026, India. senguptaofficial7@gmail.com.ORCID http://orcid.org/0000-0001-8359-1763
Shinjini KarDepartment of Life science & Bio-technology, Jadavpur University, 188, Raja S.C. Mallick Rd, Kolkata, West Bengal, 700032, India.
Jayanta ChakrabartiDirector & Head, Dept of Surgical Oncology, Chittaranjan National Cancer Institute, Kolkata, 700026, India.
Sagar SenDepartment of Surgical Oncology, Chittaranjan National Cancer Institute, Kolkata, 700026, India.
Srabanti HajraDepartment of Pathology, Chittaranjan National Cancer Institute, Kolkata, 700026, India.
Arka LahaDepartment of Environmental Carcinogenesis & Toxicology, Chittaranjan National Cancer Institute, 37, S. P. Mukherjee Road, Kolkata, West Bengal, 700026, India.
Elizabeth MahapatraDepartment of Environmental Carcinogenesis & Toxicology, Chittaranjan National Cancer Institute, 37, S. P. Mukherjee Road, Kolkata, West Bengal, 700026, India.
Salini DasDepartment of Environmental Carcinogenesis & Toxicology, Chittaranjan National Cancer Institute, 37, S. P. Mukherjee Road, Kolkata, West Bengal, 700026, India.
Parimal KarmakarDepartment of Life science & Bio-technology, Jadavpur University, 188, Raja S.C. Mallick Rd, Kolkata, West Bengal, 700032, India.
Sutapa MukherjeeDepartment of Environmental Carcinogenesis & Toxicology, Chittaranjan National Cancer Institute, 37, S. P. Mukherjee Road, Kolkata, West Bengal, 700026, India. sutapamukherjee@cnci.ac.in.ORCID http://orcid.org/0000-0002-4411-7257

Funding

Chittaranjan National Cancer Institute Intramural Grant
6 · The paper itself

Abstract

backgroundKinases are emerging as promising targetable choices for Triple negative breast cancer (TNBC) patients who suffer from lack of targeted therapy. Aurora kinase A (AURKA) inhibitor alisertib although showed promise but failed to impart any ultimate benefit in TNBCs. Considering initial preclinical success of alisertib, this study tried to explore the underlying mechanisms of its subsequent insensitivity in TNBCs.

methodsBreast cancer kinome was screened for kinases with high clinical significance by clinical kinase indexing coupled with studying their differential expression pattern and prognostic impact using available datasets. Relevant kinase inhibitors were assessed for pharmacological/toxicological parameters in silico. Alisertib induced polyploid giant cancer cells (PGCCs) were observed microscopically and flow cytometrically. PGCC viability was assessed by single cell MTT and (BrdU) assay. Epithelial and mesenchymal transition (EMT) and stemness markers were examined by immunofluorescence. PGCC enrichment was additionally checked in stained tissue explant/histocultures. Alisertib insensitive cells were developed by repeated alisertib pulsing as confirmed by MTT assay. Alisertib insensitive mammospheres were targeted with mifepristone.

resultsClinical Kinase Index (CKI) scoring and pan cancer expressional profiling coupled with analysis of prognostic effect revealed AURKA as a targetable prognostically relevant kinase. AURKA-targeting agent alisertib demonstrated acceptable pharmacological/toxicological properties but enriched PGCCs in in vitro and tumour histocultures. PGCCs maintained replicative potency producing viable progenies. They retained expression of EMT and stemness markers; demonstrating single cell clonogenicity. PGCC enrichment led to reduced alisertib sensitivity as evident from enrichment of insensitive mammospheres, targetable by mifepristone.

conclusionPGCCs contributed to alisertib insensitivity in TNBCs that may be targeted by mifepristone.

Indexed as

Alisertib-insensitivityAurora kinase aMifepristonePolyploid giant cancer cells (PGCCs)

Identifiers

PMID41191189
PMCPMC12589761

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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.