Evidence map›Paper›PMID 27775588›Full record

ArticleInternational journal of molecular sciences2016

NR2F6 Expression Correlates with Pelvic Lymph Node Metastasis and Poor Prognosis in Early-Stage Cervical Cancer.

Chunhao Niu, Xiaoying Sun, Weijing Zhang, Han Li, Liqun Xu, Jun Li, Benke Xu, Yanna Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Observational
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  7. Review
  8. NR2F6 as a Prognostic Biomarker in HNSCC.International journal of molecular sciences · 2020
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  11. Observational
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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.

Chunhao NiuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Gynecologic Oncology, Cancer Center, Sun Yat-sen University, No. 651, Dongfeng Road East, Guangzhou 510060, China. niuchh@sysucc.org.cn.
Xiaoying SunState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Gynecologic Oncology, Cancer Center, Sun Yat-sen University, No. 651, Dongfeng Road East, Guangzhou 510060, China. sunxiaoy@sysucc.org.cn.
Weijing ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Gynecologic Oncology, Cancer Center, Sun Yat-sen University, No. 651, Dongfeng Road East, Guangzhou 510060, China. zhangwj@sysucc.org.cn.
Han LiState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Gynecologic Oncology, Cancer Center, Sun Yat-sen University, No. 651, Dongfeng Road East, Guangzhou 510060, China. lihan@sysucc.org.cn.
Liqun XuDepartment of Gynecology, Women and Children Hospital of Guangdong Province, No. 13, Guang Yuan Road, Guangzhou 510060, China. xuliqunyang@126.com.
Jun LiDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China. lijun37@mail.sysu.edu.cn.
Benke XuDepartment of Anatomy, Medical School of Yangtzeu University, Jingzhou 434000, China. xubenkehb@163.com.
Yanna ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Gynecologic Oncology, Cancer Center, Sun Yat-sen University, No. 651, Dongfeng Road East, Guangzhou 510060, China. zhangyn@sysucc.org.cn.
Sun Yat-sen University · CNGuangdong Province Women and Children Hospital · CNYangtze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an abnormal expression of nuclear receptor subfamily 2 group F member 6 (NR2F6) in human cancers such as breast cancer, colon cancer, and acute myelogenous leukemia. However, its clinical significance in cervical cancer has not been established. We explored NR2F6 expression and its clinicopathological significance in early-stage cervical cancer.

methodsNR2F6 expression in cervical cancer cell lines and cervical cancer tissues was determined by Western blotting, real-time PCR, and immunochemistry (IHC). NR2F6 expression in 189 human early-stage cervical cancer tissue samples was evaluated using IHC. The relevance between NR2F6 expression and early-stage cervical cancer prognosis and clinicopathological features was determined.

resultsThere was marked NR2F6 mRNA and protein overexpression in the cervical cancer cells and clinical tissues compared with an immortalized squamous cell line and adjacent noncancerous cervical tissues, respectively. In the 189 cervical cancer samples, NR2F6 expression was positively related to International Federation of Gynecology and Obstetrics (FIGO) stage (

conclusionsTaken together, our findings suggest that high NR2F6 expression predicts pelvic lymph node metastasis, tumor recurrence and poor prognosis in early-stage cervical cancer. NR2F6 might be a novel prognostic biomarker and potential therapeutic target of cervical cancer.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellCell Line, TumorDisease-Free SurvivalFemaleHeLa CellsHumansLymphatic MetastasisLymph NodesMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingReceptors, SteroidRepressor ProteinsUterine Cervical NeoplasmsBiomarkers, TumorNR2F6 protein, humanReceptors, SteroidRepressor Proteinsbiomarkercervical cancerlymph node metastasisNR2F6 (nuclear receptor subfamily 2 group F member 6)prognosis

Identifiers

PMID27775588
PMCPMC5085726
OpenAlexW2535025297

What OpenQuestion holds

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LicenceCC BY
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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.