Overexpression of HPIP as a biomarker for metastasis and prognosis prediction in endometrial cancer patients

Cheng, Li; Zhao, Tingting; Li, Shiguo; Wang, Yao; Fei, Hui; Meng, Fanling

doi:10.1002/jcla.22959

Cited by 3 publications

(1 citation statement)

References 17 publications

(28 reference statements)

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“…Previously, many studies focused on mRNA or protein expression on EC prognosis or progression [7,8], such as MACC1 and c-Myc, which are upregulated in the serum or tumor tissues generated from EC patients, and both are associated with primary infiltration, TNM stage, and metastases [9]. Recently, with the advance of microRNA (miRNA) sequencing, we tried to focus on whether the variations of miRNAs could be served as prognosis markers in endometrial cancer.…”

Section: Introductionmentioning

confidence: 99%

Establishment of the Prognosis Predicting Signature for Endometrial Cancer Patient

Tang

Luo

2019

Med Sci Monit

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BackgroundNovel biomarkers provide clinicians more critical information on tumor genetic features and patients’ prognosis. Here, we aimed to establish prognosis-predicting signatures for endometrial carcinoma (EC) patients based on the miRNA information.Material/MethodsThe Cancer Genome Atlas (TCGA) website was available for dataset extraction. Prognosis-associated miRNAs were generated by univariate Cox regression test. Online websites were used to predict the targeted genes of these enrolled miRNAs. The miRNA-mRNA network was described by Cytoscape software, while the relevant signaling pathways of these targeted genes were enriched by Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses.ResultsThe miRNA-based overall survival (OS) and recurrence-free survival (RFS) predicting signatures were constructed by LASSO Cox regression analyses, respectively, by which, the endometrial carcinoma patients were separated into high- and low-risk groups in both the discovery and validation sets. Univariate Cox regression analyses suggested that these high-risk patients had elevated death and recurrence risk compared to low-risk patients. In addition, multivariate Cox regression analysis confirmed that our signatures were independent prognosticate factors with or without clinicopathological features for endometrial carcinoma patients. Moreover, the miRNA-mRNA network was displayed by Cytoscape software, and the pathway enrichment analyses found that the targeted genes of these enrolled miRNAs were enriched in tumor progression and drug resistance-related pathways.ConclusionsThe OS and RFS predicting classifiers serve as independent prognosis-associated determiners for EC patients.

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Section: Introductionmentioning

confidence: 99%

Establishment of the Prognosis Predicting Signature for Endometrial Cancer Patient

Tang

Luo

2019

Med Sci Monit

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Two decades of a protooncogene HPIP/PBXIP1: Uncovering the tale from germ cell to cancer

Khumukcham

Manavathi

2021

Biochimica et Biophysica Acta (BBA) - Reviews on Cancer

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Association of Myometrial Invasion With Lymphovascular Space Invasion, Lymph Node Metastasis, Recurrence, and Overall Survival in Endometrial Cancer: A Meta-Analysis of 79 Studies With 68,870 Patients

Wang

Yang

et al. 2021

Front. Oncol.

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BackgroundMyometrial invasion has been demonstrated to correlate to clinicopathological characteristics and prognosis in endometrial cancer. However, not all the studies have the consistent results and no meta-analysis has investigated the association of myometrial invasion with lymphovascular space invasion (LVSI), lymph node metastasis (LNM), recurrence, and overall survival (OS). Therefore, a meta-analysis was performed to evaluate the relationship between myometrial invasion and clinicopathological characteristics or overall survival in endometrial cancer.Materials and MethodsA search of Pubmed, Embase, and Web of Science was carried out to collect relevant studies from their inception until June 30, 2021. The quality of each included study was evaluated using Newcastle–Ottawa scale (NOS) scale. Review Manager version 5.4 was employed to conduct the meta-analysis.ResultsA total of 79 articles with 68,870 endometrial cancer patients were eligible including 9 articles for LVSI, 29 articles for LNM, 8 for recurrence, and 37 for OS in this meta-analysis. Myometrial invasion was associated with LVSI (RR 3.07; 95% CI 2.17–4.35; p < 0.00001), lymph node metastasis (LNM) (RR 4.45; 95% CI 3.29–6.01; p < 0.00001), and recurrence (RR 2.06; 95% CI 1.58–2.69; p < 0.00001). Deep myometrial invasion was also significantly related with poor OS via meta-synthesis of HRs in both univariate survival (HR 3.36, 95% CI 2.35–4.79, p < 0.00001) and multivariate survival (HR 2.00, 95% CI 1.59–2.53, p < 0.00001). Funnel plot suggested that there was no significant publication bias in this study.ConclusionDeep myometrial invasion correlated to positive LVSI, positive LNM, cancer recurrence, and poor OS for endometrial cancer patients, indicating that myometrial invasion was a useful evaluation criterion to associate with clinical outcomes and prognosis of endometrial cancer since depth of myometrial invasion can be assessed before surgery. The large scale and comprehensive meta-analysis suggested that we should pay more attention to myometrial invasion in clinical practice, and its underlying mechanism also deserves further investigation.

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Overexpression of HPIP as a biomarker for metastasis and prognosis prediction in endometrial cancer patients

Cited by 3 publications

References 17 publications

Establishment of the Prognosis Predicting Signature for Endometrial Cancer Patient

Establishment of the Prognosis Predicting Signature for Endometrial Cancer Patient

Two decades of a protooncogene HPIP/PBXIP1: Uncovering the tale from germ cell to cancer

Association of Myometrial Invasion With Lymphovascular Space Invasion, Lymph Node Metastasis, Recurrence, and Overall Survival in Endometrial Cancer: A Meta-Analysis of 79 Studies With 68,870 Patients

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