Evidence map›Paper›PMID 25364514›Full record

ArticleJournal of thoracic disease2014

Quantifying the expression of tumor marker genes in lung squamous cell cancer with RNA sequencing.

Lin Wang, Cheng Zhan, Yongxing Zhang, Jun Ma, Junjie Xi, Wei Jiang, Yu Shi, Qun Wang

Open access · greenAbstract read
In one paragraph

Article in Journal of thoracic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

8 authors at 3 institutions in 1 country.

Lin WangDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Cheng ZhanDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yongxing ZhangDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Jun MaDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Junjie XiDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Wei JiangDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yu ShiDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Qun WangDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
The First Affiliated Hospital, Sun Yat-sen University · CNFudan University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe measured the expression of some commonly used tumor markers with RNA sequencing (RNA-Seq) to identify any that might be useful for the evaluation of squamous cell lung cancer and identify possible correlations between these tumor markers and any clinical characteristics.

methodsRNA-Seq was performed on five pairs of squamous-cell lung cancer and normal tissues and another 39 squamous-cell lung cancer tissues obtained by our department between September and December, 2012. The expression of 13 commonly used tumor markers was determined.

resultsAll of the patients in our study were male. The expressions of CA125, CYFRA21-1, NSE and SCC increased in tumor samples and there were statistically significant differences between squamous cell lung cancer and normal tissues (P=0.008, P<0.001, P<0.001, P=0.001). The expression of β2M and CA15-3 was reduced in squamous cell carcinoma relative to normal tissues and there was no significant difference in the expression of other tumor markers, including AFP, AFU, CT, FER and HE4.

conclusionsCA125, CYFRA21-1, NSE and SCC may be appropriate tumor markers for squamous cell lung cancer.

Indexed as

RNA sequencing (RNA-Seq)squamous cell lung cancertumor marker

Identifiers

PMID25364514
PMCPMC4215159
OpenAlexW82533691

What OpenQuestion holds

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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.