Evidence map›Paper›PMID 35251373›Full record

ArticleDisease markers2022

Cell-Free DNA Variables including Gene Mutations in CA15-3 Normal Breast Cancer Reflect Prognosis.

Juan Xu, Wenxiu Chen, Ziwei Sun, Hailin Peng, Chenglin Zhou, Shiyang Pan

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Juan XuDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0002-9253-1225
Wenxiu ChenDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0001-5673-1783
Ziwei SunDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0001-7807-2336
Hailin PengDepartment of Laboratory Medicine, Taizhou People's Hospital, Taizhou 225300, China.ORCID https://orcid.org/0000-0001-8332-1704
Chenglin ZhouDepartment of Laboratory Medicine, Taizhou People's Hospital, Taizhou 225300, China.ORCID https://orcid.org/0000-0003-2661-2067
Shiyang PanDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0001-9320-6988
Jiangsu Province Hospital · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCell-free DNA (cfDNA) has attracted considerable attention in precision medicine. However, few data are available regarding to the prognostic value of cfDNA variables in CA15-3 normal breast cancer (BC) patients. Here, we aimed at investigating the prognostic value of cfDNA variables including gene mutations in CA15-3 normal BC patients.

methodsA total of 68 BC patients with normal CA15-3 levels were enrolled. cfDNA concentration and integrity were assessed based on qPCR. cfDNA gene mutations were conducted by using next gene sequencing (NGS). The association between cfDNA variables and the prognosis of patients was analyzed.

resultscfDNA concentration was related to tumor stage (

conclusionsAssessment of cfDNA concentration, CNV, SNV, and

Indexed as

Breast NeoplasmsPrognosisBiomarkers, TumorCell-Free Nucleic AcidsDNA Copy Number VariationsFemaleHumansMiddle AgedMucin-1MutationBiomarkers, TumorCell-Free Nucleic AcidsMUC1 protein, humanMucin-1

Identifiers

PMID35251373
PMCPMC8894049
OpenAlexW4214563018

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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.