Evidence map›Paper›PMID 22714061›Full record

ArticleMedical oncology (Northwood, London, England)2012

The expression and prognosis of FOXO3a and Skp2 in human ovarian cancer.

Mudan Lu, Yueming Zhao, Fei Xu, Yong Wang, Jingying Xiang, Daozhen Chen

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2012. 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
1.7field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 42 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Mudan LuGenetic Laboratory, Wuxi Maternal and Child Health Hospital, The Affiliated Hospital of Nanjing Medical University, 48 Huaishu-xiang, Wuxi, 214002, Jiangsu, China.
Yueming Zhao
Fei Xu
Yong Wang
Jingying Xiang
Daozhen Chen
Nanjing Maternity and Child Health Care Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The forkhead box proteins (FOXO proteins) comprise a large family of functionally diverse transcription factors involved in cellular proliferation, transformation, differentiation and longevity. Recently, ubiquitination and proteasome degradation of FOXO3a have been reported. In this study, we investigated the role of FOXO3a and Skp2 in human ovarian cancer. We detected the expression of FOXO3a and Skp2 in ovarian cancer by immunohistochemistry (IHC) and analyzed the relationship of FOXO3a and Skp2 with clinicopathological parameters, including prognosis. Immunohistochemical analysis was performed on formalin-fixed paraffin sections of 46 specimens in vivo. We found that the expression of FOXO3a was negatively related to Skp2 expression (r = -0.743; p < 0.05) and FOXO3a expression correlates significantly with disease stage (p = 0.007) and lymph node (p = 0.009) while Skp2 expression correlates significantly with age (p = 0.040), disease stage (p = 0.003) and lymph node (p = 0.019). Kaplan-Meier analysis revealed that survival curves of low versus high expressers of FOXO3a and Skp2 showed a highly significant separation in ovarian cancer (p < 0.01). FOXO3a and Skp2 may be considered to be important prognoses in human ovarian cancer.

Indexed as

Biomarkers, TumorFemaleForkhead Box Protein O3Forkhead Transcription FactorsHumansImmunohistochemistryKaplan-Meier EstimateMiddle AgedNeoplasm GradingNeoplasm StagingOvarian NeoplasmsPrognosisS-Phase Kinase-Associated ProteinsBiomarkers, TumorForkhead Box Protein O3Forkhead Transcription FactorsFOXO3 protein, humanS-Phase Kinase-Associated Proteins

Identifiers

PMID22714061
OpenAlexW1964302769

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.