Evidence map›Paper›PMID 31575382›Full record

ArticleOncology research2020

Pathway Mutations in Breast Cancer Using Whole-Exome Sequencing.

Ya-Sian Chang, Chieh-Min Chang, Chien-Yu Lin, Dy-San Chao, Hsi-Yuan Huang, Jan-Gowth Chang

Open access · hybridAbstract read
In one paragraph

Article in Oncology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.5field-weighted citation impact, top 42% of its field
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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  9. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
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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 at 2 institutions in 1 country.

Ya-Sian ChangEpigenome Research Center, China Medical University HospitalTaichungTaiwan.
Chieh-Min ChangDepartment of Laboratory Medicine, China Medical University HospitalTaichungTaiwan.
Chien-Yu LinGraduate Institute of Clinical Medical Science and School of Medicine, China Medical UniversityTaichungTaiwan.
Dy-San ChaoDepartment of Laboratory Medicine, China Medical University HospitalTaichungTaiwan.
Hsi-Yuan HuangDepartment of Laboratory Medicine, China Medical University HospitalTaichungTaiwan.
Jan-Gowth ChangEpigenome Research Center, China Medical University HospitalTaichungTaiwan.
China Medical University · TWChina Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genomic landscape of breast cancer (BC) is complex. The purpose of this study was to decipher the mutational profiles of Taiwanese patients with BC using next-generation sequencing. We performed whole-exome sequencing on DNA from 24 tumor tissue specimens from BC patients. Sanger sequencing was used to validate the identified variants. Sanger sequencing was also performed on paired adjacent nontumor tissues. After genotype calling and algorithmic annotations, we identified 49 deleterious variants in canonical cancer-related genes in our BC cohort. The most frequently mutated genes were

Indexed as

PrognosisAgedAged, 80 and overBreast NeoplasmsDisease-Free SurvivalExome SequencingFemaleGenotypeHigh-Throughput Nucleotide SequencingHumansKaplan-Meier EstimateMiddle AgedMutationNeoplasm ProteinsSignal TransductionNeoplasm Proteins

Identifiers

PMID31575382
PMCPMC7851574
OpenAlexW2977319865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.