Evidence map›Paper›PMID 33004031›Full record

ArticleBMC cancer2020

Targeted next-generation sequencing assays using triplet samples of normal breast tissue, primary breast cancer, and recurrent/metastatic lesions.

Toshiaki Akahane, Naoki Kanomata, Oi Harada, Tetsumasa Yamashita, Junichi Kurebayashi, Akihide Tanimoto, Takuya Moriya

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 41% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Article
  10. Genomic, Transcriptomic, and Proteomic Profiling of Metastatic Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
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  12. Review
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 at 3 institutions in 1 country.

Toshiaki AkahaneDepartment of Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Naoki KanomataDepartment of Pathology, St. Luke's International Hospital, Akashi-cho 9-1, Chuoku, Tokyo, 104-8560, Japan. kanomnao@luke.ac.jp.ORCID http://orcid.org/0000-0002-0172-4524
Oi HaradaDepartment of Pathology, Hokuto Hospital, Obihiro, Hokkaido, Japan.
Tetsumasa YamashitaDepartment of Breast and Thyroid Surgery, Kawasaki Medical School, Kurashiki, Japan.
Junichi KurebayashiDepartment of Breast and Thyroid Surgery, Kawasaki Medical School, Kurashiki, Japan.
Akihide TanimotoDepartment of Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Takuya MoriyaDepartment of Pathology, Kawasaki Medical School, Kurashiki, Japan.
Kawasaki Medical School · JPKagoshima University · JPHokuto Hospital · JP

Funding

Japan Society for the Promotion of Science 17K08750Kawasaki Medical School 30-026
6 · The paper itself

Abstract

backgroundNext-generation sequencing (NGS) has shown that recurrent/metastatic breast cancer lesions may have additional genetic changes compared with the primary tumor. These additional changes may be related to tumor progression and/or drug resistance. However, breast cancer-targeted NGS is not still widely used in clinical practice to compare the genomic profiles of primary breast cancer and recurrent/metastatic lesions.

methodsTriplet samples of genomic DNA were extracted from each patient's normal breast tissue, primary breast cancer, and recurrent/metastatic lesion(s). A DNA library was constructed using the QIAseq Human Breast Cancer Panel (93 genes, Qiagen) and then sequenced using MiSeq (Illumina). The Qiagen web portal was utilized for data analysis.

resultsSuccessful results for three or four samples (normal breast tissue, primary tumor, and at least one metastatic/recurrent lesion) were obtained for 11 of 35 breast cancer patients with recurrence/metastases (36 samples). We detected shared somatic mutations in all but one patient, who had a germline mutation in TP53. Additional mutations that were detected in recurrent/metastatic lesions compared with primary tumor were in genes including TP53 (three patients) and one case each of ATR, BLM, CBFB, EP300, ERBB2, MUC16, PBRM1, and PIK3CA. Actionable mutations and/or copy number variations (CNVs) were detected in 73% (8/11) of recurrent/metastatic breast cancer lesions.

conclusionsThe QIAseq Human Breast Cancer Panel assay showed that recurrent/metastatic breast cancers sometimes acquired additional mutations and CNV. Such additional genomic changes could provide therapeutic target.

Indexed as

Genetic Predisposition to DiseaseAdultAgedBreast NeoplasmsClass I Phosphatidylinositol 3-KinasesDNA Copy Number VariationsErb-b2 Receptor Tyrosine KinasesFemaleGenomicsGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansMiddle AgedNeoplasm MetastasisNeoplasm ProteinsNeoplasm Recurrence, LocalClass I Phosphatidylinositol 3-KinasesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesNeoplasm ProteinsPIK3CA protein, humanBreast cancerMetastasisNext-generation sequencingRecurrence

Identifiers

PMID33004031
PMCPMC7528467
OpenAlexW3035745885

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Registered trials

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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.