Construction of a prognostic model for radical esophagectomy based on immunohistochemical prognostic markers combined with clinicopathological factors

Author:

Wang Bo12,Su Anna3,Li Mengyan1,Wang Xuecheng4,Gao Yongmei1,Su Liping1,Li Wan1,Ma Yuqing1ORCID

Affiliation:

1. Department of Pathology, The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China

2. Xinjiang Medical University, Urumqi, China

3. Internal Medicine, Urumqi First People’s Hospital, Urumqi, China

4. Thoracic Surgery, The Fifth Affiliated Hospital, Xinjiang Medical University, Urumqi, China.

Abstract

Esophageal squamous cell carcinoma (ESCC) has a poor prognosis and lacks effective biomarkers to evaluate prognosis and treatment. Glycoprotein nonmetastatic melanoma protein B (GPNMB) is a protein highly expressed in ESCC tissues screened by isobaric tags for relative and absolute quantitation proteomics, which has significant prognostic value in a variety of malignant tumors, but its relationship with ESCC remains unclear. By immunohistochemical staining of 266 ESCC samples, we analyzed the relationship between GPNMB and ESCC. To explore how to improve the ability of ESCC prognostic assessment, we established a prognostic model of GPNMB and clinicopathological features. The results suggest that GPNMB expression is generally positive in ESCC tissues and is significantly associated with poorer differentiation, more advanced American Joint Council on Cancer (AJCC) stage, and higher tumor aggressiveness (P < .05). Multivariate Cox analysis indicated that GPNMB expression was an independent risk factor for ESCC patients. A total of 188 (70%) patients were randomly selected from the training cohort and the four variables were automatically screened by stepwise regression based on the AIC principle: GPNMB expression, nation, AJCC stage and nerve invasion. Through the weighted term, we calculate the risk score of each patient, and by drawing the receiver operating characteristic curve, we show that the model has good prognostic evaluation performance. The stability of the model was verified by test cohort. Conclusion: GPNMB is a prognostic marker consistent with the characteristics of tumor therapeutic targets. For the first time, we constructed a prognostic model combining immunohistochemical prognostic markers and clinicopathological features in ESCC, which showed higher prognostic efficacy than AJCC staging system in predicting the prognosis of ESCC patients in this region.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Reference30 articles.

1. A multi-kinase inhibitor APG-2449 enhances the antitumor effect of ibrutinib in esophageal squamous cell carcinoma via EGFR/FAK pathway inhibition.;Luo;Biochem Pharmacol,2021

2. Understanding esophageal cancer: the challenges and opportunities for the next decade.;Yang;Front Oncol,2020

3. Proteomic profiling of plasma exosomes reveals CD82 involvement in the development of esophageal squamous cell carcinoma.;Yang;J Proteomics,2022

4. Hypermethylation of miR-34b/c is associated with early clinical stages and tumor differentiation in Hazakh patients with esophageal squamous cell carcinoma.;Wang;Int J Clin Exp Path,2019

5. GPNMB silencing suppresses the proliferation and metastasis of osteosarcoma cells by blocking the PI3K/Akt/mTOR signaling pathway.;Jin;Oncol Rep,2018

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