Evidence map›Paper›PMID 33412751›Full record

ArticleGenomics & informatics2020

The nature of triple-negative breast cancer classification and antitumoral strategies.

Songmi Kim, Dong Hee Kim, Wooseok Lee, Yong-Moon Lee, Song-Yi Choi, Kyudong Han

Abstract read
In one paragraph

Article in Genomics & informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Songmi KimDepartment of Nanobiomedical Science, Dankook University, Cheonan 31116, Korea.
Dong Hee KimDepartment of Anesthesiology and Pain Management, Dankook University Hospital, Cheonan 31116, Korea.
Wooseok LeeCenter for Bio-Medical Engineering Core Facility, Dankook University, Cheonan 31116, Korea.
Yong-Moon LeeDepartment of Pathology, Dankook University School of Medicine, Cheonan 31116, Korea.
Song-Yi ChoiDepartment of Pathology, Chungnam National University School of Medicine, Daejeon 35015, Korea.
Kyudong HanCenter for Bio-Medical Engineering Core Facility, Dankook University, Cheonan 31116, Korea.

Funding

Korea Basic Science Institute 2019R1A6C1010033Ministry of Education
6 · The paper itself

Abstract

Identifying the patterns of gene expression in breast cancers is essential to understanding their pathophysiology and developing anticancer drugs. Breast cancer is a heterogeneous disease with different subtypes determined by distinct biological features. Luminal breast cancer is characterized by a relatively high expression of estrogen receptor (ER) and progesterone receptor (PR) genes, which are expressed in breast luminal cells. In ~25% of invasive breast cancers, human epidermal growth factor receptor 2 (HER2) is overexpressed; these cancers are categorized as the HER2 type. Triple-negative breast cancer (TNBC), in which the cancer cells do not express ER/PR or HER2, shows highly aggressive clinical outcomes. TNBC can be further classified into specific subtypes according to genomic mutations and cancer immunogenicity. Herein, we discuss the brief history of TNBC classification and its implications for promising treatments.

Indexed as

classificationgene expressionimmune checkpoint blockademicrobiomesubtypetriple-negative breast cancer

Identifiers

PMID33412751
PMCPMC7808875

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.