Evidence map›Paper›PMID 26885454›Full record

ArticleAmerican journal of cancer research2015

Increased NUCKS expression is a risk factor for poor prognosis and recurrence in endometrial cancer.

Tianbo Liu, Shu Tan, Ye Xu, Fanling Meng, Chang Yang, Ge Lou

Abstract read
In one paragraph

Article in American journal of cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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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.

Tianbo LiuDepartment of Gynecology, The Affiliated Tumor Hospital, Harbin Medical University Haping Road 150, Nangang District, Harbin 150081, China.
Shu TanDepartment of Gynecology, The Affiliated Tumor Hospital, Harbin Medical University Haping Road 150, Nangang District, Harbin 150081, China.
Ye XuDepartment of Gynecology, The Affiliated Tumor Hospital, Harbin Medical University Haping Road 150, Nangang District, Harbin 150081, China.
Fanling MengDepartment of Gynecology, The Affiliated Tumor Hospital, Harbin Medical University Haping Road 150, Nangang District, Harbin 150081, China.
Chang YangDepartment of Gynecology, The Affiliated Tumor Hospital, Harbin Medical University Haping Road 150, Nangang District, Harbin 150081, China.
Ge LouDepartment of Gynecology, The Affiliated Tumor Hospital, Harbin Medical University Haping Road 150, Nangang District, Harbin 150081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear ubiquitous casein and cyclin-dependent kinases substrate (NUCKS) was reported to function as a potential biomarker in various tumors. Thus, we aimed to explore the expression of NUCKS in endometrial cancer (EC) and its clinical significance using quantitative real-time PCR (qRT-PCR) and immunohistochemistry (IHC). qRT-PCR results showed that NUCKS mRNA expression gradually elevated from normal endometrium to atypical endometrial hyperplasia, and to EC (P < 0.05 between each group). NUCKS overexpression was strongly associated with FIGO stage (P = 0.002), histologic grade (P = 0.029), lympho-vascular space involvement (P = 0.014), lymph node metastasis (P = 0.019), and recurrence (P < 0.001). Cox multivariate analysis revealed that NUCKS overexpression was an independent factor for overall survival and recurrence-free survival (P < 0.001 for both). Multivariate logistic regression suggested that recurrence was independently correlated with NUCKS overexpresion (P = 0.039), FIGO stage (P = 0.002), and lymph node metastasis (P = 0.002). In summary, NUCKS overexpression may function as a potential biomarker for prognosis especially for recurrence in ECs.

Indexed as

Endometrial cancernuclear ubiquitous casein and cyclin-dependent kinases substrate (NUCKS)prognosisrecurrence

Identifiers

PMID26885454
PMCPMC4731639

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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.