Evidence map›Paper›PMID 31937618›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

A Quantitative Centrosomal Amplification Score Predicts Local Recurrence of Ductal Carcinoma

Karuna Mittal, Michael S Toss, Guanhao Wei, Jaspreet Kaur, Da Hoon Choi, Brian D Melton, Remus M Osan, Islam M Miligy, Andrew R Green, Emiel A M Janssen and 6 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

16 authors.

Karuna MittalDepartment of Biology, Georgia State University, Atlanta, Georgia.
Michael S Toss *University of Nottingham and Nottingham University Hospitals, Nottingham, United Kingdom.
Guanhao Wei *Department of Biology, Georgia State University, Atlanta, Georgia.
Jaspreet Kaur *Department of Biology, Georgia State University, Atlanta, Georgia.
Da Hoon ChoiDepartment of Biology, Georgia State University, Atlanta, Georgia.
Brian D MeltonDepartment of Biology, Georgia State University, Atlanta, Georgia.
Remus M OsanDepartment of Biology, Georgia State University, Atlanta, Georgia.
Islam M MiligyUniversity of Nottingham and Nottingham University Hospitals, Nottingham, United Kingdom.
Andrew R GreenUniversity of Nottingham and Nottingham University Hospitals, Nottingham, United Kingdom.ORCID 0000-0002-0488-5913
Emiel A M JanssenDepartment of Pathology, Stavanger University Hospital, Stavanger, Norway.
Håvard SøilandDepartment of Breast and Endocrine Surgery, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0002-9285-2774
Keerthi GogineniEmory University School of Medicine, Atlanta, Georgia.
Upender ManneDepartment of Pathology, University of Alabama School of Medicine, Birmingham, Alabama.
Padmashree RidaDepartment of Biology, Georgia State University, Atlanta, Georgia. raneja@gsu.edu Emad.Rakha@nottingham.ac.uk Emad.Rakha@nuh.nhs.uk cgp_rida@yahoo.com.
Emad A RakhaUniversity of Nottingham and Nottingham University Hospitals, Nottingham, United Kingdom. raneja@gsu.edu Emad.Rakha@nottingham.ac.uk Emad.Rakha@nuh.nhs.uk cgp_rida@yahoo.com.
Ritu AnejaDepartment of Biology, Georgia State University, Atlanta, Georgia. raneja@gsu.edu Emad.Rakha@nottingham.ac.uk Emad.Rakha@nuh.nhs.uk cgp_rida@yahoo.com.

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

purposeThe purpose of this study is to predict risk of local recurrence (LR) in ductal carcinoma EXPERIMENTAL

designThis first-of-its-kind methodology evaluates the severity and frequency of numerical and structural CA present within DCIS and assigns a quantitative centrosomal amplification score (CAS) to each sample. Analyses were performed in a discovery cohort (DC,

resultsDCIS cases with LR exhibited significantly higher CAS than recurrence-free cases. Higher CAS was associated with a greater risk of developing LR (HR, 6.3 and 4.8 for DC and VC, respectively;

conclusionsCAS predicted 10-year LR risk for patients who underwent surgical management alone and identified patients who may be at low risk of recurrence, and for whom adjuvant RT may not be required. CAS demonstrated the highest concordance among the known prognostic models such as VNPI and clinicopathologic variables such as grade, age, and comedo necrosis.

Indexed as

CentrosomeGene AmplificationAdultAgedAged, 80 and overBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingCombined Modality TherapyFemaleFollow-Up StudiesHumansMastectomy, SegmentalMiddle AgedNeoplasm Recurrence, LocalPrognosis

Identifiers

PMID31937618
PMCPMC7299818

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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.