Evidence map›Paper›PMID 24932314›Full record

ArticleOncology letters2014

A rapid nested polymerase chain reaction method to detect circulating cancer cells in breast cancer patients using multiple marker genes.

Lei Liu, Chunhu Ma, Qian Xu, Luyang Cheng, Lijun Xiao, Dawei Xu, Yaxian Gao, Jianping Wang, Hongru Song

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

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  12. Overexpression of Family with Sequence Similarity 83, Member A (FAM83A) Predicts Poor Clinical Outcomes in Lung Adenocarcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  13. Elevated FAM83A expression predicts poorer clincal outcome in lung adenocarcinoma.Cancer biomarkers : section A of Disease markers · 2019
    Article
  14. 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

9 authors at 1 institution in 1 country.

Lei LiuDepartment of Immunology, Basic Medical Institute, Chengde Medical College, Chengde, Hebei 067000, P.R. China.
Chunhu MaClinical Skills Center, Chengde Medical College, Chengde, Hebei 067000, P.R. China.
Qian XuDepartment of Central Laboratory, Basic Medical Institute, Chengde Medical College, Chengde, Hebei 067000, P.R. China.
Luyang ChengDepartment of Immunology, Basic Medical Institute, Chengde Medical College, Chengde, Hebei 067000, P.R. China.
Lijun XiaoDepartment of Immunology, Basic Medical Institute, Chengde Medical College, Chengde, Hebei 067000, P.R. China.
Dawei XuDepartment of Immunology, Basic Medical Institute, Chengde Medical College, Chengde, Hebei 067000, P.R. China.
Yaxian GaoDepartment of Immunology, Basic Medical Institute, Chengde Medical College, Chengde, Hebei 067000, P.R. China.
Jianping WangDepartment of Immunology, Basic Medical Institute, Chengde Medical College, Chengde, Hebei 067000, P.R. China.
Hongru SongDepartment of Immunology, Basic Medical Institute, Chengde Medical College, Chengde, Hebei 067000, P.R. China.
Affiliated Hospital of Chengde Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to develop a simple and rapid method for the detection of circulating cancer cells using multiple tumor markers and to investigate the clinical significance of circulating cancer cells in breast cancer patients. A novel rapid nested polymerase chain reaction (PCR) assay, with high sensitivity and specificity, was evaluated, which was considered to be suitable for clinical application. The rapid nested PCR method was used to detect the circulating cancer cells of 142 breast cancer patients, using a panel of marker genes (FAM83A, NPY1R and KRT19), which were identified by the Digital Gene Expression Displayer Tool of the National Cancer Institute-Cancer Genome Anatomy Project. In total, 79.6% of the 142 breast cancer patient blood samples were found to express at least one tumor marker. In addition, the number of positive markers was found to significantly correlate with the disease stage and presence of distant metastasis. Furthermore, positivity for more than one tumor marker appeared to predict a reduced survival time in breast cancer patients.

Indexed as

breast cancercirculating cancer cellsnested polymerase chain reactiontumor marker

Identifiers

PMID24932314
PMCPMC4049700
OpenAlexW1982849400

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.