Evidence map›Paper›PMID 26693050›Full record

ReviewAmerican journal of cancer research2015

Breast cancer intrinsic subtype classification, clinical use and future trends.

Xiaofeng Dai, Ting Li, Zhonghu Bai, Yankun Yang, Xiuxia Liu, Jinling Zhan, Bozhi Shi

Abstract readReview
In one paragraph

Review in American journal of cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 533 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
533citing papers in PubMed, 5 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

533 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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473 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

7 authors.

Xiaofeng DaiNational Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University Wuxi 214122, Jiangsu, China.
Ting LiNational Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University Wuxi 214122, Jiangsu, China.
Zhonghu BaiNational Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University Wuxi 214122, Jiangsu, China.
Yankun YangNational Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University Wuxi 214122, Jiangsu, China.
Xiuxia LiuNational Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University Wuxi 214122, Jiangsu, China.
Jinling ZhanNational Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University Wuxi 214122, Jiangsu, China.
Bozhi ShiBioengineering College, Chongqing University Chongqing, 404100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is composed of multiple subtypes with distinct morphologies and clinical implications. The advent of microarrays has led to a new paradigm in deciphering breast cancer heterogeneity, based on which the intrinsic subtyping system using prognostic multigene classifiers was developed. Subtypes identified using different gene panels, though overlap to a great extent, do not completely converge, and the avail of new information and perspectives has led to the emergence of novel subtypes, which complicate our understanding towards breast tumor heterogeneity. This review explores and summarizes the existing intrinsic subtypes, patient clinical features and management, commercial signature panels, as well as various information used for tumor classification. Two trends are pointed out in the end on breast cancer subtyping, i.e., either diverging to more refined groups or converging to the major subtypes. This review improves our understandings towards breast cancer intrinsic classification, current status on clinical application, and future trends.

Indexed as

Breast cancerclassificationclinical usegene expression profilingheterogeneityintrinsic subtypesignaturetrends

Identifiers

PMID26693050
PMCPMC4656721

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.