Evidence map›Paper›PMID 33106971›Full record

ReviewCancer metastasis reviews2021

Centrosome amplification: a quantifiable cancer cell trait with prognostic value in solid malignancies.

Karuna Mittal, Jaspreet Kaur, Meghan Jaczko, Guanhao Wei, Michael S Toss, Emad A Rakha, Emiel Adrianus Maria Janssen, Håvard Søiland, Omer Kucuk, Michelle Dian Reid and 2 more

Open access · greenAbstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

41 citing papers in PubMed, 54 citations in OpenAlex.

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  8. Centriolar satellites regulatebioRxiv : the preprint server for biology · 2026
    Article
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  10. Investigating the Consequences of Aneuploidy in Cancer and Normal Tissue.Advances in experimental medicine and biology · 2026
    Review
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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

12 authors at 4 institutions in 3 countries.

Karuna MittalDepartment of Biology, Georgia State University, 100 Piedmont Ave, Atlanta, GA, 30303, USA.
Jaspreet KaurDepartment of Biology, Georgia State University, 100 Piedmont Ave, Atlanta, GA, 30303, USA.
Meghan JaczkoDepartment of Biology, Georgia State University, 100 Piedmont Ave, Atlanta, GA, 30303, USA.
Guanhao WeiDepartment of Biology, Georgia State University, 100 Piedmont Ave, Atlanta, GA, 30303, USA.
Michael S TossDepartment of Pathology, University of Nottingham and Nottingham University Hospitals, Nottingham, UK.
Emad A RakhaDepartment of Pathology, University of Nottingham and Nottingham University Hospitals, Nottingham, UK.
Emiel Adrianus Maria JanssenDepartment of Pathology, Stavanger University Hospital, Stavanger, Norway.
Håvard SøilandDepartment of Breast and Endocrine Surgery, Stavanger University Hospital, Stavanger, Norway.
Omer KucukWinship Cancer Institute, Department of Hematology and Medical Oncology, Emory University Hospital, Atlanta, GA, USA.
Michelle Dian ReidDepartment of Pathology, Emory University Hospital, Atlanta, GA, USA.
Meenakshi V GuptaChestatee Pathology, Atlanta, GA, USA.
Ritu AnejaDepartment of Biology, Georgia State University, 100 Piedmont Ave, Atlanta, GA, 30303, USA. raneja@gsu.edu.
Georgia State University · USEmory University Hospital · USStavanger University Hospital · NOUniversity of Nottingham · GB

Funding

HSET as a racial disparity biomarker for TNBC patientsR01CA239120 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ANEJA, RITU · 2019 to 2024
$3.0M
Evaluation of centrosome amplification as a risk-predictor for breast cancer aggrU01CA179671 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ANEJA, RITU · 2014 to 2018
$1.6M
NCI NIH HHS R01 CA239120NCI NIH HHS U01 CA179671
6 · The paper itself

Abstract

Numerical and/or structural centrosome amplification (CA) is a hallmark of cancers that is often associated with the aberrant tumor karyotypes and poor clinical outcomes. Mechanistically, CA compromises mitotic fidelity and leads to chromosome instability (CIN), which underlies tumor initiation and progression. Recent technological advances in microscopy and image analysis platforms have enabled better-than-ever detection and quantification of centrosomal aberrancies in cancer. Numerous studies have thenceforth correlated the presence and the degree of CA with indicators of poor prognosis such as higher tumor grade and ability to recur and metastasize. We have pioneered a novel semi-automated pipeline that integrates immunofluorescence confocal microscopy with digital image analysis to yield a quantitative centrosome amplification score (CAS), which is a summation of the severity and frequency of structural and numerical centrosome aberrations in tumor samples. Recent studies in breast cancer show that CA increases across the disease progression continuum, while normal breast tissue exhibited the lowest CA, followed by cancer-adjacent apparently normal, ductal carcinoma in situ and invasive tumors, which showed the highest CA. This finding strengthens the notion that CA could be evolutionarily favored and can promote tumor progression and metastasis. In this review, we discuss the prevalence, extent, and severity of CA in various solid cancer types, the utility of quantifying amplified centrosomes as an independent prognostic marker. We also highlight the clinical feasibility of a CA-based risk score for predicting recurrence, metastasis, and overall prognosis in patients with solid cancers.

Indexed as

Breast NeoplasmsCentrosomeChromosomal InstabilityFemaleHumansPrognosisCentrosome amplificationDCISFormalin-fixed paraffin-embedded tissue sectionsPrognostic biomarkerSolid tumors

Identifiers

PMID33106971
PMCPMC7897259
OpenAlexW3093638499

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.