Evidence map›Paper›PMID 25895457›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

Expression of FOXP1 in epithelial ovarian cancer (EOC) and its correlation with chemotherapy resistance and prognosis.

Zhenhua Hu, Liancheng Zhu, Jian Gao, Mingbo Cai, Mingzi Tan, Juanjuan Liu, Bei Lin

Abstract read
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Long noncoding RNAAging · 2020
    Article
  6. Article
  7. Article
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  9. The Dominant Role of Forkhead Box Proteins in Cancer.International journal of molecular sciences · 2018
    Review
  10. Article
  11. Article
  12. Article
  13. MiR-206 is down-regulated and suppresses cell proliferation by targeting FOXP1 in brain gliomas.International journal of clinical and experimental pathology · 2018
    Article
  14. Article
  15. Article
  16. 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

7 authors at 2 institutions in 1 country.

Zhenhua HuDepartment of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Liancheng ZhuDepartment of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Jian GaoDepartment of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Mingbo CaiDepartment of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Mingzi TanDepartment of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Juanjuan LiuDepartment of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Bei LinDepartment of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China. linbei2005@yeah.net.
China Medical University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to investigate the expression of FOXP1 in ovarian tumors and correlate it with clinicopathological parameters, chemotherapy resistance, and prognosis. FOXP1 messenger RNA (mRNA) expression was examined in fresh ovarian cancer tissues and normal ovarian tissues, and FOXP1 protein expression was determined in a total of 201 ovarian tissue samples, including 152 cases of primary epithelial ovarian cancer, 26 borderline ovarian tumors, 13 benign ovarian tumors, and 10 normal ovarian tissues. Complete chemotherapy and follow-up data were available in 92 of the 152 epithelial ovarian cancer patients. The relationship between FOXP1 protein expression and ovarian cancer pathological characteristics, chemotherapy resistance, and survival time was analyzed. FOXP1 mRNA expression was downregulated in ovarian cancer tissues compared with that in normal ovarian tissues. Decreased nuclear and increased cytoplasmic FOXP1 protein expression was correlated with increasing tumor grade. Nuclear FOXP1 expression was an independent risk factor associated with chemotherapy resistance and the prognosis of patients with ovarian cancer. FOXP1 expression is closely related to the degree of malignancy of epithelial ovarian cancer and may be a reliable index of the chemoresistance and prognosis of ovarian cancer.

Indexed as

AdultAgedAged, 80 and overAntineoplastic AgentsCarcinoma, Ovarian EpithelialDrug Resistance, NeoplasmFemaleForkhead Transcription FactorsGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMiddle AgedNeoplasms, Glandular and EpithelialNeoplasm StagingOvarian NeoplasmsPrognosisAntineoplastic AgentsForkhead Transcription FactorsFOXP1 protein, humanRepressor ProteinsRNA, MessengerChemotherapy resistanceEOCFOXP1Prognosis

Identifiers

PMID25895457
OpenAlexW2034034541

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.