Evidence map›Paper›PMID 20804570›Full record

ReviewBreast cancer research : BCR2010

Breast cancer prognostic classification in the molecular era: the role of histological grade.

Emad A Rakha, Jorge S Reis-Filho, Frederick Baehner, David J Dabbs, Thomas Decker, Vincenzo Eusebi, Stephen B Fox, Shu Ichihara, Jocelyne Jacquemier, Sunil R Lakhani and 8 more

Abstract readReview
In one paragraph

Review in Breast cancer research : BCR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 413 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
413citing papers in PubMed, 6 pooled it
–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

413 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  3. Evidence-based guidelines for hypofractionated radiation in breast cancer: conclusions of the Catalan expert working group.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
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353 more citing papers are in PubMed but not listed here.

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

18 authors.

Emad A RakhaDepartment of Histopathology, Nottingham City Hospital NHS Trust, Nottingham University, Nottingham, UK.
Jorge S Reis-Filho
Frederick Baehner
David J Dabbs
Thomas Decker
Vincenzo Eusebi
Stephen B Fox
Shu Ichihara
Jocelyne Jacquemier
Sunil R Lakhani
José Palacios
Andrea L Richardson
Stuart J Schnitt
Fernando C Schmitt
Puay-Hoon Tan
Gary M Tse
Sunil Badve
Ian O Ellis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease with varied morphological appearances, molecular features, behavior, and response to therapy. Current routine clinical management of breast cancer relies on the availability of robust clinical and pathological prognostic and predictive factors to support clinical and patient decision making in which potentially suitable treatment options are increasingly available. One of the best-established prognostic factors in breast cancer is histological grade, which represents the morphological assessment of tumor biological characteristics and has been shown to be able to generate important information related to the clinical behavior of breast cancers. Genome-wide microarray-based expression profiling studies have unraveled several characteristics of breast cancer biology and have provided further evidence that the biological features captured by histological grade are important in determining tumor behavior. Also, expression profiling studies have generated clinically useful data that have significantly improved our understanding of the biology of breast cancer, and these studies are undergoing evaluation as improved prognostic and predictive tools in clinical practice. Clinical acceptance of these molecular assays will require them to be more than expensive surrogates of established traditional factors such as histological grade. It is essential that they provide additional prognostic or predictive information above and beyond that offered by current parameters. Here, we present an analysis of the validity of histological grade as a prognostic factor and a consensus view on the significance of histological grade and its role in breast cancer classification and staging systems in this era of emerging clinical use of molecular classifiers.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticBreast NeoplasmsFemaleHumansLymph NodesPrognosisSeverity of Illness IndexTumor Burden

Identifiers

PMID20804570
PMCPMC2949637

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.