Evidence map›Paper›PMID 27049832›Full record

ArticleOncotarget2016

Ki-67 proliferation index but not mitotic thresholds integrates the molecular prognostic stratification of lower grade gliomas.

Eleonora Duregon, Luca Bertero, Alessandra Pittaro, Riccardo Soffietti, Roberta Rudà, Morena Trevisan, Mauro Papotti, Laura Ventura, Rebecca Senetta, Paola Cassoni

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

22 citing papers in PubMed, 46 citations in OpenAlex.

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  12. Brain Tumor Imaging: Applications of Artificial Intelligence.Seminars in ultrasound, CT, and MR · 2022
    Article
  13. Grading of adult diffuse gliomas according to the 2021 WHO Classification of Tumors of the Central Nervous System.Laboratory investigation; a journal of technical methods and pathology · 2022
    Review
  14. 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

10 authors at 3 institutions in 1 country.

Eleonora DuregonDepartment of Oncology, University of Turin, Turin, Italy.
Luca BerteroDepartment of Medical Sciences, University of Turin, Turin, Italy.
Alessandra PittaroDepartment of Medical Sciences, University of Turin, Turin, Italy.
Riccardo SoffiettiDepartment of Neuro-Oncology, University and City of Health and Science Hospital of Turin, Turin, Italy.
Roberta RudàDepartment of Neuro-Oncology, University and City of Health and Science Hospital of Turin, Turin, Italy.
Morena TrevisanCancer Epidemiology Unit-CERMS, Department of Medical Sciences, University of Turin, Turin, Italy.
Mauro PapottiDepartment of Oncology, University of Turin, Turin, Italy.
Laura VenturaDepartment of Statistical Sciences, University of Padua, Padova, Italy.
Rebecca SenettaDepartment of Medical Sciences, University of Turin, Turin, Italy.
Paola CassoniDepartment of Medical Sciences, University of Turin, Turin, Italy.
University of Turin · ITPiedmont Reference Center for Epidemiology and Cancer Prevention · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite several molecular signatures for "lower grade diffuse gliomas" (LGG) have been identified, WHO grade still remains a cornerstone of treatment guidelines. Mitotic count bears a crucial role in its definition, although limited by the poor reproducibility of standard Hematoxylin & Eosin (H&E) evaluation. Phospho-histone-H3 (PHH3) and Ki-67 have been proposed as alternative assays of cellular proliferation. Therefore in the present series of 141 LGG, the molecular characterization (namely IDH status, 1p/19q co-deletion and MGMT promoter methylation) was integrated with the tumor "proliferative trait" (conventional H&E or PHH3-guided mitotic count and Ki-67 index) in term of prognosis definition. Exclusively high PHH3 and Ki-67 values were predictor of poor prognosis (log rank test, P = 0.0281 for PHH3 and P = 0.032 for Ki-67), unlike standard mitotic count. Based on Cox proportional hazard regression analyses, among all clinical (age), pathological (PHH3 and Ki-67) and molecular variables (IDH, 1p/19q codeletion and MGMT methylation) with a prognostic relevance at univariate survival analysis, only IDH expression (P = 0.001) and Ki-67 proliferation index (P = 0.027) proved to be independent prognostic factors. In addition, stratifying by IDH expression status, high Ki-67 retained its prognostic relevance uniquely in the IDH negative patient (P = 0.029) doubling their risk of death (hazard ratio = 2.27). Overall, PHH3 immunostaining is the sole reliable method with a prognostic value to highlight mitotic figures in LGG. Ki-67 proliferation index exceeds PHH3 mitotic count as a predictor of patient's prognosis, and should be integrated with molecular markers in a comprehensive grading system for LGG.

Indexed as

Cell ProliferationMitotic IndexAdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsCombined Modality TherapyFemaleFollow-Up StudiesGliomaHistonesHumansKi-67 AntigenMaleMiddle AgedBiomarkers, TumorHistonesKi-67 AntigenKi-67 indexlower grade gliomasPathology Sectionphospho-histone H3prognosis

Identifiers

PMID27049832
PMCPMC5008278
OpenAlexW2320688130

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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.