Evidence map›Paper›PMID 25544672›Full record

ArticleJournal of cancer research and clinical oncology2015

Circulating MACC1 as a novel diagnostic and prognostic biomarker for nonsmall cell lung cancer.

Zhiqiang Wang, Ming Cai, Yuan Weng, Fang Zhang, Dong Meng, Jun Song, Huan Zhou, Zongtao Xie

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

20 citing papers in PubMed.

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  6. Messenger RNA enrichment using synthetic oligo(T) click nucleic acids.Chemical communications (Cambridge, England) · 2020
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  19. ELMO3 is a novel biomarker for diagnosis and prognosis of non-small cell lung cancer.International journal of clinical and experimental pathology · 2015
    Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Zhiqiang WangDepartment of Thoracic and Cardiovascular Surgery, Affiliated Hospital of Jiangnan University, The Forth People's Hospital of Wuxi City, No. 200, Huihe Road, Wuxi, 214062, China.
Ming Cai
Yuan Weng
Fang Zhang
Dong Meng
Jun Song
Huan Zhou
Zongtao Xie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMetastasis-associated in colon cancer-1 (MACC1) is a newly identified gene that plays an important role in cancer progression and metastasis. MACC1 has important functions in the differentiation, invasion, and metastasis of nonsmall cell lung cancer (NSCLC). However, the value of circulating MACC1 as a potential diagnostic and prognostic biomarker for NSCLC remains unknown.

methodsPlasma MACC1 mRNA levels were examined in 272 patients with NSCLC, 61 with benign lung disease, and 80 healthy volunteers using reverse transcription quantitative real-time polymerase chain reaction.

resultsMACC1 was more highly expressed in NSCLC patients than in patients with benign disease (P < 0.001) or in healthy volunteers (P < 0.001). High MACC1 expression was significantly associated with NSCLC stage (P = 0.013) and lymph node metastasis (P = 0.016). The area under the receiver operating characteristic curve was 0.766, and the optimal cutoff value was 0.105, providing a sensitivity of 71.4 % and a specificity of 89.1 %. The diagnostic capability of circulating MACC1 mRNA was higher than that of carcinoembryonic antigen (P = 0.025) or cytokeratin-19 (P = 0.010). Furthermore, high MACC1 expression was associated with poor overall survival (OS) and disease-free survival (DFS) and predicted poor survival in NSCLC patients. Consequently, MACC1 mRNA was an independent prognostic factor of OS and DFS.

conclusionWe concluded that circulating MACC1 mRNA represents a potential noninvasive, diagnostic and prognostic marker for NSCLC.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCase-Control StudiesFemaleHumansLung NeoplasmsMaleMiddle AgedPrognosisRNA, MessengerTrans-ActivatorsTranscription FactorsBiomarkers, TumorMACC1 protein, humanRNA, MessengerTrans-ActivatorsTranscription Factors

Identifiers

PMID25544672
PMCPMC11823776

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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.