Evidence map›Paper›PMID 24798975›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Retinoic acid receptor-related receptor alpha (RORalpha) is a prognostic marker for hepatocellular carcinoma.

Rong-Dang Fu, Chun-Hui Qiu, Hu-An Chen, Zhi-Gang Zhang, Min-Qiang Lu

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Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. 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

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  14. Exploring vitamin D metabolism and function in cancer.Experimental & molecular medicine · 2018
    Review
  15. Vitamin D signaling and melanoma: role of vitamin D and its receptors in melanoma progression and management.Laboratory investigation; a journal of technical methods and pathology · 2017
    Review
  16. Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rong-Dang FuDepartment of Hepatic Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
Chun-Hui Qiu
Hu-An Chen
Zhi-Gang Zhang
Min-Qiang Lu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinoic acid receptor-related receptor alpha (RORalpha) has been proven to play a tumor suppressive role in certain types of solid tumors. However, the clinical characteristic of RORalpha has not been reported by far. This study investigated the expression of RORalpha in hepatocellular carcinoma (HCC) and evaluated its relationship with clinical parameters and prognosis in HCC patients. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) and Western blot analyses were performed to detect RORalpha expression levels in 20 paired HCC and corresponding adjacent non-cancerous tissues. Immunohistochemistry was performed on 100 archived paraffin-embedded HCC samples. Statistical analyses evaluated the correlations between RORalpha expression and clinicopathological features. qRT-PCR showed that RORalpha mRNA expression was significantly down-regulated in tumors compared to the adjacent non-cancerous tissues, and Western blots found that RORalpha protein expression was also reduced in tumor tissues. Immunohistochemical assays revealed that decreased RORalpha expression was present in 65 % of HCC patients. Correlation analyses showed that RORalpha expression was significantly correlated with serum alpha fetoprotein (AFP, p = 0.005), pathology grade (p < 0.001), tumor recurrence (p = 0.008), and vascular invasion (p < 0.001). Kaplan-Meier analysis revealed that patients with low RORalpha expression levels had a shorter overall and disease-free survival than patients with high expression (p < 0.001 and p = 0.002, respectively). Multivariate regression analysis indicated that RORalpha was an independent predictor for overall survival and disease-free survival. In conclusion, the results of our study showed that down-regulated RORalpha expression was associated with poorer prognosis in HCC patients. RORalpha may be a new potential prognostic marker for HCC patients.

Indexed as

AdultAgedalpha-FetoproteinsBiomarkers, TumorCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsMaleMiddle AgedNuclear Receptor Subfamily 1, Group F, Member 1PrognosisTumor Suppressor Protein p53alpha-FetoproteinsBiomarkers, TumorNuclear Receptor Subfamily 1, Group F, Member 1RORA protein, humanTP53 protein, humanTumor Suppressor Protein p53

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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.