Evidence map›Paper›PMID 26818835›Full record

ArticleVirchows Archiv : an international journal of pathology2016

Bimodality of intratumor Ki67 expression is an independent prognostic factor of overall survival in patients with invasive breast carcinoma.

Arvydas Laurinavicius, Benoit Plancoulaine, Allan Rasmusson, Justinas Besusparis, Renaldas Augulis, Raimundas Meskauskas, Paulette Herlin, Aida Laurinaviciene, Abir A Abdelhadi Muftah, Islam Miligy and 4 more

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In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

26 citing papers in PubMed, 37 citations in OpenAlex.

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  11. Artificial intelligence applied to breast pathology.Virchows Archiv : an international journal of pathology · 2022
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  13. Clinical validity and clinical utility of Ki67 in early breast cancer.Therapeutic advances in medical oncology · 2022
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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

14 authors at 4 institutions in 3 countries.

Arvydas LaurinaviciusDepartment of Pathology, Forensic Medicine and Pharmacology, Faculty of Medicine, Vilnius University, Vilnius, Lithuania. arvydas.laurinavicius@vpc.lt.
Benoit PlancoulainePathImage/BioTICLA, Inserm (UMR 1199), University Caen Normandy, Cancer Center F. Baclesse, Caen, France.
Allan RasmussonNational Center of Pathology, Affiliate of Vilnius University Hospital Santariskiu Clinics, P. Baublio 5, LT-08406, Vilnius, Lithuania.
Justinas BesusparisDepartment of Pathology, Forensic Medicine and Pharmacology, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Renaldas AugulisDepartment of Pathology, Forensic Medicine and Pharmacology, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Raimundas MeskauskasNational Center of Pathology, Affiliate of Vilnius University Hospital Santariskiu Clinics, P. Baublio 5, LT-08406, Vilnius, Lithuania.
Paulette HerlinDepartment of Pathology, Forensic Medicine and Pharmacology, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Aida LaurinavicieneDepartment of Pathology, Forensic Medicine and Pharmacology, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Abir A Abdelhadi MuftahDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Islam MiligyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Mohammed AleskandaranyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Emad A RakhaDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Andrew R GreenDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Ian O EllisDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Vilnius University · LTUniversity of Nottingham · GBInserm · FRNottingham City Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proliferative activity, assessed by Ki67 immunohistochemistry (IHC), is an established prognostic and predictive biomarker of breast cancer (BC). However, it remains under-utilized due to lack of standardized robust measurement methodologies and significant intratumor heterogeneity of expression. A recently proposed methodology for IHC biomarker assessment in whole slide images (WSI), based on systematic subsampling of tissue information extracted by digital image analysis (DIA) into hexagonal tiling arrays, enables computation of a comprehensive set of Ki67 indicators, including intratumor variability. In this study, the tiling methodology was applied to assess Ki67 expression in WSI of 152 surgically removed Ki67-stained (on full-face sections) BC specimens and to test which, if any, Ki67 indicators can predict overall survival (OS). Visual Ki67 IHC estimates and conventional clinico-pathologic parameters were also included in the study. Analysis revealed linearly independent intrinsic factors of the Ki67 IHC variance: proliferation (level of expression), disordered texture (entropy), tumor size and Nottingham Prognostic Index, bimodality, and correlation. All visual and DIA-generated indicators of the level of Ki67 expression provided significant cutoff values as single predictors of OS. However, only bimodality indicators (Ashman's D, in particular) were independent predictors of OS in the context of hormone receptor and HER2 status. From this, we conclude that spatial heterogeneity of proliferative tumor activity, measured by DIA of Ki67 IHC expression and analyzed by the hexagonal tiling approach, can serve as an independent prognostic indicator of OS in BC patients that outperforms the prognostic power of the level of proliferative activity.

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsFemaleHumansImage Interpretation, Computer-AssistedImmunohistochemistryKi-67 AntigenMiddle AgedNeoplasm InvasivenessPrognosisProportional Hazards ModelsBiomarkers, TumorKi-67 AntigenAutomated image analysisBreast cancerDigital pathologyHeterogeneityHexagonal tilingHoneycombImmunohistochemistryKi-67

Identifiers

PMID26818835
OpenAlexW2265241213

What OpenQuestion holds

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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.