Evidence map›Paper›PMID 36627894›Full record

ReviewCancer drug resistance (Alhambra, Calif.)2022

Association between genome-wide epigenetic and genetic alterations in breast cancer tissue and response to HER2-targeted therapies in HER2-positive breast cancer patients: new findings and a systematic review.

Daniela Furrer, Dzevka Dragic, Sue-Ling Chang, Frédéric Fournier, Arnaud Droit, Simon Jacob, Caroline Diorio

Abstract readReview
In one paragraph

Review in Cancer drug resistance (Alhambra, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

7 authors.

Daniela FurrerCentre de Recherche sur le cancer de l'Université Laval, 1050 Avenue de la Médecine, Québec, QC G1V 0A6, Canada.
Dzevka DragicCentre de Recherche sur le cancer de l'Université Laval, 1050 Avenue de la Médecine, Québec, QC G1V 0A6, Canada.
Sue-Ling ChangCentre de Recherche sur le cancer de l'Université Laval, 1050 Avenue de la Médecine, Québec, QC G1V 0A6, Canada.
Frédéric FournierCentre de Recherche sur le cancer de l'Université Laval, 1050 Avenue de la Médecine, Québec, QC G1V 0A6, Canada.
Arnaud DroitCentre de Recherche sur le cancer de l'Université Laval, 1050 Avenue de la Médecine, Québec, QC G1V 0A6, Canada.
Simon JacobCentre de Recherche sur le cancer de l'Université Laval, 1050 Avenue de la Médecine, Québec, QC G1V 0A6, Canada.
Caroline DiorioCentre de Recherche sur le cancer de l'Université Laval, 1050 Avenue de la Médecine, Québec, QC G1V 0A6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent evidence suggests that genetic and epigenetic mechanisms might be associated with acquired resistance to cancer therapies. The aim of this study was to assess the association of genome-wide genetic and epigenetic alterations with the response to anti-HER2 agents in HER2-positive breast cancer patients. PubMed was screened for articles published until March 2021 on observational studies investigating the association of genome-wide genetic and epigenetic alterations, measured in breast cancer tissues or blood, with the response to targeted treatment in HER2-positive breast cancer patients. Sixteen studies were included in the review along with ours, in which we compared the genome-wide DNA methylation pattern in breast tumor tissues of patients who acquired resistance to treatment (case group,

Indexed as

biomarkersBreast neoplasmsepigeneticsgeneticsHER2 inhibitorstreatment response

Identifiers

PMID36627894
PMCPMC9771759

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.