Evidence map›Paper›PMID 38539518›Full record

ArticleCancers2024

Akiko Arimura, Kazuko Sakai, Kazuhisa Kaneshiro, Takafumi Morisaki, Saori Hayashi, Kimihisa Mizoguchi, Mai Yamada, Masaya Kai, Mayumi Ono, Kazuto Nishio and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2024. 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
5.4field-weighted citation impact, top 4% 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, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review of ctDNA in breast cancer - present utility and future perspectives.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2026
    Review
  6. Review
  7. Review
  8. Observational
  9. Review
  10. Circulating biomarkers for diagnosis and response to therapies in cancer patients.International review of cell and molecular biology · 2025
    Review
  11. Article
  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

12 authors at 4 institutions in 1 country.

Akiko ArimuraDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Kazuko SakaiDepartment of Genome Biology, Kindai University Faculty of Medicine, Osakasayama 589-8511, Japan.
Kazuhisa KaneshiroDepartment of Surgery, Hamanomachi Hospital, Fukuoka 810-8539, Japan.
Takafumi MorisakiDepartment of Breast Surgical Oncology, Kyushu University Hospital, Fukuoka 812-8582, Japan.
Saori HayashiDepartment of Breast Surgical Oncology, Kyushu University Hospital, Fukuoka 812-8582, Japan.
Kimihisa MizoguchiDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.ORCID 0000-0003-4053-654X
Mai YamadaDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Masaya KaiDepartment of Breast Surgical Oncology, Kyushu University Hospital, Fukuoka 812-8582, Japan.
Mayumi OnoBasic Medical Research Unit, St. Mary's Research Center, Kurume, Fukuoka 830-8543, Japan.
Kazuto NishioDepartment of Genome Biology, Kindai University Faculty of Medicine, Osakasayama 589-8511, Japan.ORCID 0000-0002-8275-0846
Masafumi NakamuraDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Makoto KuboDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.ORCID 0000-0001-6000-8731
Kyushu University · JPKyushu University Hospital · JPKindai University · JPHamanomachi Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise biomarkers for predicting the therapeutic efficacy of molecularly targeted drugs are limited at the protein level; thus, it has been important to broadly scrutinize individual cancer driver gene mutations for effective cancer treatments. Multiplex cancer genome profiling can comprehensively identify gene mutations that are therapeutic targets using next-generation sequencing (NGS). In addition, circulating tumor DNA (ctDNA) is a DNA fragment released into the blood by tumor cell-derived cell death or apoptosis. Liquid biopsy with ctDNA is a novel clinical test for identifying genetic mutations in an entire population noninvasively, in real-time, and heterogeneously. Although there are several reports on ctDNA, fewer have evaluated ctDNA with NGS before an initial treatment for breast cancer patients. Therefore, we examined whether analyzing tumor-associated gene mutations in primary breast cancer based on ctDNA could serve as a biomarker for prognosis and optimal treatment selection. Ninety-five primary breast cancer patients treated at our department from January 2017 to October 2020 were included. Pretreatment plasma samples were subjected to NGS analysis of ctDNA, and correlations with patients' clinicopathological characteristics were evaluated. Fifty-nine (62.1%) patients were positive for ctDNA. ctDNA tended to be positive in hormone receptor-negative, and

Indexed as

BRCA1ctDNATP53triple-negative breast cancer

Identifiers

PMID38539518
PMCPMC10969106
OpenAlexW4392926109

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.