Evidence map›Paper›PMID 35282050›Full record

ArticleAnnals of translational medicine2022

Targeted next generation sequencing of circulating tumor DNA provides prognostic information for management in breast cancer patients.

Hyoeun Shim, Min Jeong Kwon, In Hae Park, Min Kyeong Kim, Eun-Hae Cho, Junnam Lee, Seung-Tae Lee, Sung Hoon Sim, Keun Seok Lee, Yun-Hee Kim and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 53% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

13 authors at 3 institutions in 1 country.

Hyoeun Shim *Department of Laboratory Medicine, Hospital, National Cancer Center, Goyang, Korea.
Min Jeong Kwon *Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.
In Hae ParkCenter for Breast Cancer, Hospital, National Cancer Center, Goyang, Korea.
Min Kyeong KimDivision of Translational Research, Research Institute National Cancer Center, Goyang, Korea.
Eun-Hae ChoGenomic Research Center, GC Genome, Yongin, Korea.
Junnam LeeGenomic Research Center, GC Genome, Yongin, Korea.
Seung-Tae LeeDepartment of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea.
Sung Hoon SimCenter for Breast Cancer, Hospital, National Cancer Center, Goyang, Korea.
Keun Seok LeeCenter for Breast Cancer, Hospital, National Cancer Center, Goyang, Korea.
Yun-Hee KimCancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.
Seok-Ki KimDivision of Convergence Technology, Research Institute, National Cancer Center, Goyang, Korea.
Eun Sook LeeCenter for Breast Cancer, Hospital, National Cancer Center, Goyang, Korea.
Sun-Young KongDepartment of Laboratory Medicine, Hospital, National Cancer Center, Goyang, Korea.
National Cancer Center · KRGenome and Company (South Korea) · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Circulating tumor DNA (ctDNA) is a non-invasive biomarker for evaluating cancer prognosis. The aim of this study was to analyze the genomic profile of circulating tumor DNA (ctDNA) in breast cancer patients, and evaluate its clinical implications. Methods: Targeted sequencing of ctDNA was performed in 38 patients using commercially available Oncomine Breast cfDNA panel. Whole exome sequencing was performed on matched tumor DNA (n=20). Survival analysis and response to chemotherapy in the study population were evaluated. The detected genomic variants were validated and serially monitored with droplet digital polymerase chain reaction (ddPCR) in 5 patients. Results: At least one variant or copy number alteration was detected in the ctDNA of 31 of 38 (82%) breast cancer patients, with the most common variants being in Conclusions: The genomic profile of ctDNA reflects and provides additional information to the tumor DNA genome profile. Follow-up monitoring of mutations detected in ctDNA is useful in the clinical management of breast cancer patients.

Indexed as

Breast cancercirculating tumor DNA (ctDNA)high-throughput nucleotide sequencing

Identifiers

PMID35282050
PMCPMC8848433
OpenAlexW4205995633

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.