Evidence map›Paper›PMID 29049167›Full record

ArticleMedicine2017

Decreased expression of RASSF10 correlates with poor prognosis in patients with colorectal cancer.

Junxun Ma, Sujie Zhang, Yi Hu, Xiaoyan Li, Fang Yuan, Danyang Sun, Lijie Wang, Fan Zhang, Guangying Chen, Pengfei Cui

Abstract readEvaluation Study
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Junxun MaDepartment of Oncology, Chinese PLA General Hospital, Beijing, China.
Sujie Zhang
Yi Hu
Xiaoyan Li
Fang Yuan
Danyang Sun
Lijie Wang
Fan Zhang
Guangying Chen
Pengfei Cui

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ras association domain protein 10 (RASSF10) was reported to act as a prognostic indicator in various types of cancer and it was proved to be tumor suppressor gene in colorectal cancer (CRC). The purpose of this study was to evaluate the prognostic significance of RASSF10 in CRC.Quantitative real-time polymerase chain reaction was used to detect the messenger RNA (mRNA) expression while enzyme-linked immunosorbent assay was taken to measure the protein expression of RASSF10 in tumor tissues and adjacent normal tissues from 102 patients with CRC. The relationship between RASSF10 expression level and clinical characteristics of CRC patients was analyzed by chi-squared test. In addition, the association between overall survival of CRC patients and RASSF10 expression was estimated by Kaplan-Meier analysis. Cox regression analysis was used to evaluate the prognostic value of RASSF10.The expression level of RASSF10 in tumor tissues was significantly lower than that in the normal tissues both at mRNA and protein levels. Moreover, the expression level was correlated with lymph-node-metastasis and tumor-node-metastasis stage. Kaplan-Meier analysis suggested that patients with high expression level of RASSF10 had a longer overall survival than those with low level (log-rank test, P < .001). Besides, RASSF10 might be a potential biomarker in the prognosis of CRC according to cox regression analysis.The down regulated of RASSF10 is found in CRC and it may be an ideal prognostic marker.

Indexed as

AgedBiomarkers, TumorChi-Square DistributionColorectal NeoplasmsDown-RegulationEnzyme-Linked Immunosorbent AssayFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsBiomarkers, TumorRASSF10 protein, humanRNA, MessengerTumor Suppressor Proteins

Identifiers

PMID29049167
PMCPMC5662333

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Registered trials

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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.