Evidence map›Paper›PMID 27904784›Full record

ArticleAmerican journal of cancer research2016

High FOXRED1 expression predicted good prognosis of colorectal cancer.

Weiqiang Fei, Shuiping Liu, Xiaotong Hu

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 4 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

3 authors at 1 institution in 1 country.

Weiqiang FeiBiomedical Research Center and Key Laboratory of Biotherapy of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University Hangzhou 310016, Zhejiang, China.
Shuiping LiuBiomedical Research Center and Key Laboratory of Biotherapy of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University Hangzhou 310016, Zhejiang, China.
Xiaotong HuBiomedical Research Center and Key Laboratory of Biotherapy of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University Hangzhou 310016, Zhejiang, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human FAD-dependent oxidoreductase domain containing 1 (FOXRED1) protein is reported as an assembly factor which promotes the correct assembly and stability of mitochondrial Complex I (CI). Alterations of mitochondrial CI might cause tumorigenesis and metastasis, but it's molecular mechanisms remain unclear. In this study, we selected 145 cases of colorectal cancer for immunohistochemistry to explore the role of FOXRED1 played in the tumor progression of colorectal cancer. The relationship between FOXRED1 expression and clinicopathological features of colorectal cancers was evaluated. FOXRED1 mainly localized in the cytoplasm in the colorectal cancer tissues, and had significant association with histopathological grading, depth of invasion, lymph node metastasis, distant metastasis and TNM stage (P<0.05 for each). However, age, gender and tumor location was not found to be associated with FOXRED1 expression. Colorectal cancer patients with higher expression of FOXRED1 had the higher 3 year survival rate (P=0.003). Moreover, FOXRED1 had potentiality to be an independent prognostic factor for survival in colorectal cancer (P=0.04). Low FOXRED1 expression correlated with poor prognosis of colorectal cancer and targeting this molecular will be a potential treatment strategy for colorectal cancer.

Indexed as

colorectal cancerFOXRED1immunohistochemistryprognosis

Identifiers

PMID27904784
PMCPMC5126286
OpenAlexW3011942907

What OpenQuestion holds

Textmetadata
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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.