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Cancer
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Cancer
Article . 2016 . Peer-reviewed
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Cancer
Article . 2017
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Synuclein‐γ in uterine serous carcinoma impacts survival: An NRG Oncology/Gynecologic Oncology Group study

Authors: Winder, Abigail D.; Maniar, Kruti P.; Wei, Jian‐jun; Liu, Dachao; Scholtens, Denise M.; Lurain, John R.; Schink, Julian C.; +17 Authors

Synuclein‐γ in uterine serous carcinoma impacts survival: An NRG Oncology/Gynecologic Oncology Group study

Abstract

BACKGROUNDSynuclein‐γ (SNCG) is highly expressed in advanced solid tumors, including uterine serous carcinoma (USC). The objective of the current study was to determine whether SNCG protein was associated with survival and clinical covariates using the largest existing collection of USCs from the Gynecologic Oncology Group (GOG‐8023).METHODSHigh‐density tissue microarrays (TMAs) of tumor tissues from 313 patients with USC were stained by immunohistochemistry for SNCG, p53, p16, FOLR1, pERK, pAKT, ER, PR, and HER2/neu. Associations of SNCG and other tumor markers with overall and progression‐free survival were assessed using log‐rank tests and Cox proportional‐hazards models, which also were adjusted for age, race, and stage.RESULTSThe overall survival at 5 years was 46% for women with high SNCG expression and 62% for those with low SNCG expression (log‐rank P = .021; hazard ratio [HR], 1.31; 95% confidence interval [CI], 0.91‐1.9 in adjusted Cox model). The progression‐free survival rate at 5 years was worse for women who had high SNCG expression, at 40%, compared with 56% for those who had low SNCG expression (log‐rank P = .0081; HR, 1.36; 95% CI, 0.96‐1.92 in adjusted Cox model). High levels of both p53 and p16 were significantly associated with worse overall survival (p53: HR, 4.20 [95% CI, 1.54‐11.45]; p16: HR, 1.95 [95% CI, 1.01‐3.75]) and progression‐free survival (p53: HR, 2.16 [95% CI, 1.09‐4.27]; p16: HR, 1.53 [95% CI, 0.87‐2.69]) compared with low levels.CONCLUSIONSThis largest collection of USCs to date demonstrates that SNCG was associated with poor survival in univariate analyses. SNCG does not predict survival outcome independent of p53 and p16 in models that jointly consider multiple markers. Cancer 2017;123:1144–1155. © 2016 American Cancer Society.

Keywords

p53, uterine serous carcinoma, Gene Expression, p16, Kaplan-Meier Estimate, Oncology and Hematology, gamma-Synuclein, Health Sciences, Biomarkers, Tumor, Humans, synucleinâ γ (SNCG), Neoplasm Metastasis, Aged, Neoplasm Staging, Aged, 80 and over, Middle Aged, Prognosis, Immunohistochemistry, Cystadenocarcinoma, Serous, endometrial cancer, Uterine Neoplasms, Female, Public Health

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Average
bronze