Evidence map›Paper›PMID 34442452›Full record

ReviewJournal of personalized medicine2021

Breast Cancer Treatments: Updates and New Challenges.

Anna Burguin, Caroline Diorio, Francine Durocher

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 233 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
233citing papers in PubMed, 4 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

233 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Effect of a digital tool on breast cancer specific health-related quality of life and psychological distress: secondary results from the ADAPT study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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173 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

3 authors.

Anna BurguinDepartment of Molecular Medicine, Faculty of Medicine, Université Laval, Quebec City, QC G1T 1C2, Canada.
Caroline DiorioCancer Research Center, CHU de Québec-Université Laval, Quebec City, QC G1V 4G2, Canada.ORCID 0000-0001-5355-7345
Francine DurocherDepartment of Molecular Medicine, Faculty of Medicine, Université Laval, Quebec City, QC G1T 1C2, Canada.ORCID 0000-0001-8012-4641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the most frequent cancer diagnosed in women worldwide. This heterogeneous disease can be classified into four molecular subtypes (luminal A, luminal B, HER2 and triple-negative breast cancer (TNBC)) according to the expression of the estrogen receptor (ER) and the progesterone receptor (PR), and the overexpression of the human epidermal growth factor receptor 2 (HER2). Current BC treatments target these receptors (endocrine and anti-HER2 therapies) as a personalized treatment. Along with chemotherapy and radiotherapy, these therapies can have severe adverse effects and patients can develop resistance to these agents. Moreover, TNBC do not have standardized treatments. Hence, a deeper understanding of the development of new treatments that are more specific and effective in treating each BC subgroup is key. New approaches have recently emerged such as immunotherapy, conjugated antibodies, and targeting other metabolic pathways. This review summarizes current BC treatments and explores the new treatment strategies from a personalized therapy perspective and the resulting challenges.

Indexed as

breast cancerbreast cancer treatmentHER2luminalmolecular subtypespersonalized therapiesTNBC

Identifiers

PMID34442452
PMCPMC8399130

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.