Literature DB >> 34315926

Combined detection of peripheral blood VEGF and inflammation biomarkers to evaluate the clinical response and prognostic prediction of non-operative ESCC.

Yuanyuan Ma1, Xinyu Su1, Xin Li1, Xiaohui Zhi1, Kan Jiang1, Jianhong Xia1, Hongliang Li1, Chen Yan1, Liqing Zhou2.   

Abstract

An association between angiogenesis/inflammation status and tumor has been reported in various types of cancer. This study sought to assess the role of peripheral blood VEGF and some inflammation biomarkers in evaluating clinical response and prognosis in patients with non-operative esophageal squamous cell carcinoma (ESCC). Peripheral blood of 143 patients with non-operative ESCC at our institute was dynamically collected at 5 time points including 1 day before radiotherapy, during radiotherapy (15f), at the end of radiotherapy, 1 month after radiotherapy, and 3 months after radiotherapy. VEGF expression in the peripheral blood was detected and related inflammation biomarkers such as GPS, CAR and CLR were counted. Logistic regression and Cox regression were implemented respectively to analyze the correlation of each predictor with clinical response and prognosis. The performance of combined testing was estimated using AUCs. Based on independent predictors, a nomogram prediction model was established to predict the probabilities of 1- and 2-year PFS of patients. The effectiveness of the nomogram model was characterized by C-index, AUC, calibration curves and DCA. VEGF and CLR levels at the end of radiotherapy were independent predictors of clinical response, while VEGF and GPS levels at 3 months after radiotherapy were independent prognostic predictors. The efficacy of combined detection of VEGF and CLR is superior to the single detection in evaluating clinical response and prognosis. The nomogram showed excellent accuracy in predicting PFS. The combined detection of VEGF and CLR at the end of radiotherapy can be used to evaluate the clinical response of patients with non-operative ESCC, and the combined detection of VEGF and GPS 3 months after radiotherapy can be used to predict the prognosis. Implemented by nomogram model, it is expected to provide practical and reliable method to evaluate the clinical response and prognosis of patients with non-operative ESCC tool.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34315926     DOI: 10.1038/s41598-021-94329-8

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  31 in total

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Journal:  Cancer Metastasis Rev       Date:  2008-03       Impact factor: 9.264

2.  Expression of hypoxia-inducible factor (HIF)-1alpha is associated with vascular endothelial growth factor expression and tumour angiogenesis in human oesophageal squamous cell carcinoma.

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Journal:  Eur J Cancer       Date:  2004-08       Impact factor: 9.162

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Authors:  Haifeng Xia; Ji Shen; Shaomu Chen; Haitao Huang; Yaozeng Xu; Haitao Ma
Journal:  Cancer Biomark       Date:  2016-06-24       Impact factor: 4.388

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Authors:  Franco Scaldaferri; Stefania Vetrano; Miquel Sans; Vincenzo Arena; Giuseppe Straface; Egidio Stigliano; Alessandro Repici; Andreas Sturm; Alberto Malesci; Julian Panes; Seppo Yla-Herttuala; Claudio Fiocchi; Silvio Danese
Journal:  Gastroenterology       Date:  2008-10-07       Impact factor: 22.682

5.  Prognostic Value of Preoperative Systemic Immunoinflammatory Measures in Patients with Esophageal Cancer.

Authors:  Yusuke Ishibashi; Hironori Tsujimoto; Shuichi Hiraki; Isao Kumano; Yoshihisa Yaguchi; Hiroyuki Horiguchi; Shinsuke Nomura; Nozomi Ito; Eiji Shinto; Suefumi Aosasa; Junji Yamamoto; Hideki Ueno
Journal:  Ann Surg Oncol       Date:  2018-07-17       Impact factor: 5.344

Review 6.  Angiogenic factors: role in esophageal cancer, a brief review.

Authors:  Kátia Ladeira; Filipa Macedo; Adhemar Longatto-Filho; Sandra F Martins
Journal:  Esophagus       Date:  2017-12-16       Impact factor: 4.230

7.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

Review 8.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

Review 9.  The tumor microenvironment in esophageal cancer.

Authors:  E W Lin; T A Karakasheva; P D Hicks; A J Bass; A K Rustgi
Journal:  Oncogene       Date:  2016-02-29       Impact factor: 9.867

10.  Lymphocyte-C-reactive Protein Ratio as Promising New Marker for Predicting Surgical and Oncological Outcomes in Colorectal Cancer.

Authors:  Yoshinaga Okugawa; Yuji Toiyama; Akira Yamamoto; Tsunehiko Shigemori; Shozo Ide; Takahito Kitajima; Hiroyuki Fujikawa; Hiromi Yasuda; Junichiro Hiro; Shigeyuki Yoshiyama; Takeshi Yokoe; Susumu Saigusa; Koji Tanaka; Yumiko Shirai; Minako Kobayashi; Masaki Ohi; Toshimitsu Araki; Donald C McMillan; Chikao Miki; Ajay Goel; Masato Kusunoki
Journal:  Ann Surg       Date:  2020-08       Impact factor: 12.969

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  2 in total

1.  Role of vascular endothelial growth factor in radiotherapy resistance to esophageal squamous cell carcinoma.

Authors:  Xin Li; Xinyu Su; Chen Yan; Yuanyuan Ma; Heng Li; Jianhong Xia; Hongliang Li; Qian Jiang; Liqing Zhou; Zhengyun Zou
Journal:  J Cancer Res Clin Oncol       Date:  2022-06-29       Impact factor: 4.553

2.  In Vitro and In Vivo Evaluation of a Cyclic LyP-1-Modified Nanosystem for Targeted Endostatin Delivery in a KYSE-30 Cell Xenograft Athymic Nude Mice Model.

Authors:  Samson A Adeyemi; Yahya E Choonara
Journal:  Pharmaceuticals (Basel)       Date:  2022-03-14
  2 in total

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