Tissue protein biomarker candidates to predict progression of esophageal squamous cell carcinoma and precancerous lesions

Wang, Meng; Smith, Jennifer S.; Wei, Wenqiang

doi:10.1111/nyas.13863

Cited by 27 publications

(23 citation statements)

References 48 publications

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“…Some studies had successfully validated protein prognostic model in malignancies, such as bladder cancer, lung adenocarcinoma and diffuse large B-cell lymphoma [22][23][24]. The protein models demonstrated vital role for predicting prognosis, which including bladder cancer, esophageal squamous cell carcinoma and pancreatic ductal adenocarcinoma [25][26][27]. Abnormal expression of various protein biomarkers in cancer cells or inflammatory cells demonstrated prediction potential in cancers [21,28,29].…”

Section: Discussionmentioning

confidence: 99%

Construction and Validation of a Protein Prognostic Model for Lung Squamous Cell Carcinoma

Fang¹,

Liu²,

Weng³

et al. 2020

Int. J. Med. Sci.

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Lung squamous cell carcinoma (LUSCC), as the major type of lung cancer, has high morbidity and mortality rates. The prognostic markers for LUSCC are much fewer than lung adenocarcinoma. Besides, protein biomarkers have advantages of economy, accuracy and stability. The aim of this study was to construct a protein prognostic model for LUSCC. The protein expression data of LUSCC were downloaded from The Cancer Protein Atlas (TCPA) database. Clinical data of LUSCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. A total of 237 proteins were identified from 325 cases of LUSCC patients based on the TCPA and TCGA database. According to Kaplan-Meier survival analysis, univariate and multivariate Cox analysis, a prognostic prediction model was established which was consisted of 6 proteins (CHK1_pS345, CHK2, IRS1, PAXILLIN, BRCA2 and BRAF_pS445). After calculating the risk values of each patient according to the coefficient of each protein in the risk model, the LUSCC patients were divided into high risk group and low risk group. The survival analysis demonstrated that there was significant difference between these two groups (p= 4.877e−05). The area under the curve (AUC) value of the receiver operating characteristic (ROC) curve was 0.699, which suggesting that the prognostic risk model could effectively predict the survival of LUSCC patients. Univariate and multivariate analysis indicated that this prognostic model could be used as independent prognosis factors for LUSCC patients. Proteins co-expression analysis showed that there were 21 proteins co-expressed with the proteins in the risk model. In conclusion, our study constructed a protein prognostic model, which could effectively predict the prognosis of LUSCC patients.

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Section: Discussionmentioning

confidence: 99%

Construction and Validation of a Protein Prognostic Model for Lung Squamous Cell Carcinoma

Fang¹,

Liu²,

Weng³

et al. 2020

Int. J. Med. Sci.

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“…Proteins, which are upregulated in tumor tissues (as compared to negative controls), have the potential of being valuable biomarkers for the diagnosis of cancer. However, the studies in this regard only offer preliminary proof‐of‐concept and have several limitations, for example, studies on a single center, enrollment of small sample size, cross‐sectional or retrospective studies . MicroRNAs (miRNAs), a group of 19 to 22 nucleotides, are small, single‐stranded and conserved noncoding RNAs.…”

Section: Biomarkers In Oscc and Esccmentioning

confidence: 99%

“…On the contrary, circulating body fluids, for example, blood, plasma, and serum, provides the major biomarker panels in ESCC. Upregulated proteins in tumor tissues (as compared to negative controls) possess the potential of being valuable biomarkers for the diagnosis of cancer . Some of the salivary proteins (chemerin and MMP9) showcased excellent sensitivity and specificity in the early‐stage OSCC detection.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Autophagy modulators for the treatment of oral and esophageal squamous cell carcinomas

Khan

Relitti

Brindisi

et al. 2019

Medicinal Research Reviews

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Oral squamous cell carcinomas (OSCC) and esophageal squamous cell carcinomas (ESCC) exhibit a survival rate of less than 60% and 40%, respectively. Late-stage diagnosis and lack of effective treatment strategies make both OSCC and ESCC a significant health burden. Autophagy, a lysosome-dependent catabolic process, involves the degradation of intracellular components to maintain cell homeostasis. Targeting autophagy has been highlighted as a feasible therapeutic strategy with clinical utility in cancer treatment, although its associated regulatory mechanisms remain elusive. The detection of relevant biomarkers in biological fluids has been anticipated to facilitate early diagnosis and/or prognosis for these tumors. In this context, recent studies have indicated the presence of specific proteins and small RNAs, detectable in circulating plasma and serum, as biomarkers. Interestingly, the interplay between biomarkers (eg, exosomal microRNAs) and autophagic processes could be exploited in the quest for targeted and more effective therapies for OSCC and ESCC. In this review, we give an overview of the available biomarkers and innovative targeted therapeutic strategies, including the application of autophagy modulators in OSCC and ESCC.Additionally, we provide a viewpoint on the state of the art Tuhina Khan and Nicola Relitti contributed equally to this work. and on future therapeutic perspectives combining the early detection of relevant biomarkers with drug discovery for the treatment of OSCC and ESCC. K E Y W O R D S autophagy, autophagy modulators, biomarkers, esophageal squamous cell carcinoma, exosomes, oral squamous cell carcinoma, targeted therapy 1 | INTRODUCTION Oral squamous cell carcinoma (OSCC) is the predominant malignant neoplasm of the oral cavity followed by verrucous carcinoma, undifferentiated carcinoma, and small salivary adenocarcinoma. 1 Esophageal squamous cell carcinoma (ESCC) is the first histological type and accounts for 80% of cases of esophageal cancer. 2 OSCC and ESCC are indicated as one of the most common cancers by the International Union Against Cancer with an annual incidence of 275 000 and 456 000 cases worldwide, respectively. 3,4 The primary etiology in both OSCC and ESCC is attributed to the environmental factors (tobacco abuse, alcohol consumption), genetic factors (eg, mutations in enzymes), viral factors (human papilloma virus [HPV] infection), and/or the coexistence of these factors. Alcohol intake and tobacco use are responsible for at least 75% of these carcinomas. The underlying initiation and progression mechanisms of OSCC and ESCC are generally characterized by the accumulation of serial epigenetic and genetic alterations, which eventually lead to uncontrolled proliferation of the mutated cells, followed by vigorous cell division. 5,7 Early-stage OSCC detection displays an 80% survival rate at 5 years, while detection at advanced stage leads to survival rates ranging from 20% to 40%. 6 In ESCC, the 5-year survival rate for early-stage detection may reach 85%, whereas a dr...

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“…Human esophageal squamous cell carcinoma (ESCC) is a major disease threatening human life and health, which is prevalent worldwide. 1 Owing to insufficient screening for early esophageal cancer, most patients are diagnosed in advanced stages. The overall 5-year survival rate of esophageal cancer is less than 20% because of the local invasion, metastasis, recurrence, and limitation of current treatments of advanced esophageal neoplasms.…”

Section: Introductionmentioning

confidence: 99%

Low expression level of ASK1-interacting protein-1 correlated with tumor angiogenesis and poor survival in patients with esophageal squamous cell cancer

Sun

Chen

et al. 2018

OTT

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ObjectiveTo investigate the expression of tumor suppressor protein ASK1-interacting protein-1 (AIP1) in human esophageal squamous cell carcinoma (ESCC) and its role in tumor progression, angiogenesis, and prognosis.MethodsA total of 117 biopsy samples were obtained from ESCC patients. None of the patients had distant metastasis before surgery, and did not receive preoperative chemotherapy or radiotherapy. Immunohistochemistry was used to detect the expression of AIP1 protein and vascular endothelial growth factor receptor 2 (VEGFR2) in ESCC specimens collected from 117 patients who underwent esophageal cancer radical surgery. Microvessel density (MVD) was evaluated by immunohistochemical staining of vascular endothelial CD34. The correlation between AIP1 protein and clinicopathological characteristics, tumor angiogenesis, and prognosis was analyzed.ResultsThe downregulation of AIP1 protein in esophageal carcinoma tissues was detected in 63 cases. This downregulation significantly correlated with lymph node metastasis, clinicopathological staging, and tumor MVD (P<0.05). Survival analysis showed that ESCC patients with a low expression of AIP1, a high expression of VEGFR2, and a high level of MVD had a lower 5-year survival rate (P<0.05). Multivariate analysis confirmed that the downregulation of AIP1 significantly affected patient survival.ConclusionThe downregulation of AIP1 correlated with ESCC progression, tumor angiogenesis, and poor prognosis. AIP1 could be a promising biomarker for predicting ESCC prognosis and a potential target for anti-angiogenic therapy.

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Tissue protein biomarker candidates to predict progression of esophageal squamous cell carcinoma and precancerous lesions

Cited by 27 publications

References 48 publications

Construction and Validation of a Protein Prognostic Model for Lung Squamous Cell Carcinoma

Construction and Validation of a Protein Prognostic Model for Lung Squamous Cell Carcinoma

Autophagy modulators for the treatment of oral and esophageal squamous cell carcinomas

Low expression level of ASK1-interacting protein-1 correlated with tumor angiogenesis and poor survival in patients with esophageal squamous cell cancer

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