Evidence map›Paper›PMID 35778922›Full record

ArticleCancer medicine2022

Construction and validation of a prognostic model based on 11 lymph node metastasis-related genes for overall survival in endometrial cancer.

Hong Wu, Haiqin Feng, Xiaoli Miao, Jiancai Ma, Cairu Liu, Lina Zhang, Liping Yang

Abstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Structure and Functions of HMGB3 Protein.International journal of molecular sciences · 2024
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hong WuDepartment of Obstetrics and Gynecology, Handan Central Hospital, Handan, China.
Haiqin FengDepartment of Obstetrics and Gynecology, Handan Central Hospital, Handan, China.
Xiaoli MiaoDepartment of Obstetrics and Gynecology, Handan Central Hospital, Handan, China.
Jiancai MaDepartment of Obstetrics and Gynecology, Handan Central Hospital, Handan, China.
Cairu LiuDepartment of Obstetrics and Gynecology, Handan Central Hospital, Handan, China.
Lina ZhangDepartment of Obstetrics and Gynecology, Handan Central Hospital, Handan, China.
Liping YangDepartment of Obstetrics and Gynecology, Handan Central Hospital, Handan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometrial cancer (EC) is one of the most common malignant tumors in female reproductive system. The incidence of lymph node metastasis (LNM) is only about 10% in clinically suspected early-stage EC patients. Discovering prognostic models and effective biomarkers for early diagnosis is important to reduce the mortality rate.

methodsA least absolute shrinkage and selection operator (LASSO) regression was conducted to identify the characteristic dimension decrease and distinguish porgnostic LNM related genes signature. Subsequently, a novel prognosis-related nomogram was constructed to predict overall survival (OS). Survival analysis was carried out to explore the individual prognostic significance of the risk model and key gene was validated in vitro.

resultsIn total, 89 lymph node related genes (LRGs) were identified. Based on the LASSO Cox regression, 11 genes were selected for the development of a risk evaluation model. The Kaplan-Meier curve indicated that patients in the low-risk group had considerably better OS (p = 3.583e-08). The area under the ROC curve (AUC) of this model was 0.718 at 5 years of OS. Then, we developed an OS-associated nomogram that included the risk score and clinicopathological features. The concordance index of the nomogram was 0.769. The survival verification performed in three subgroups from the nomogram demonstrated the validity of the model. The AUC of the nomogram was 0.787 at 5 years OS. Proliferation and metastasis of HMGB3 were explored in EC cell line. External validation with 30 patients in our hospital showed that patients with low-risk scores had a longer OS (p-value = 0.03). Finally, we revealed that the most frequently mutated genes in the low-risk and high-risk groups are PTEN and TP53, respectively.

conclusionsOur results suggest that LNM plays an important role in the prognosis, and HMGB3 was potential as a biomarker for EC patients.

Indexed as

Endometrial NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesNomogramsPrognosisTranscription FactorsTranscription Factorsendometrial cancerHMGB3lymph node metastasismutationrisk signature

Identifiers

PMID35778922
PMCPMC9741985

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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.