Trending With Impact: Protein-Based Risk Model Predicts Esophageal Cancer Recurrence

Listen to a blog summary of a trending research paper published by Oncotarget, entitled, "Prediction of recurrence free survival for esophageal cancer patients using a protein signature based risk model." _________________________________________ Esophageal cancer is the sixth most common cause of death from cancer worldwide. The two main types of esophageal cancer are adenocarcinoma and esophageal squamous cell carcinoma (ESCC). ESCC arises from the cells lining the esophagus, and it is most common in areas of the world where tobacco use and alcohol consumption are high. “Biomarkers to predict the risk of disease recurrence in Esophageal squamous cell carcinoma (ESCC) patients are urgently needed to improve treatment.” Researchers Raghibul Hasan, Gunjan Srivastava, Akram Alyass, Rinu Sharma, Anoop Saraya, Tushar K. Chattopadhyay, Siddartha DattaGupta, Paul G. Walfish, Shyam S. Chauhan, and Ranju Ralhan from All India Institute of Medical Sciences, Mount Sinai Hospital Toronto, McMaster University, Guru Gobind Singh Indraprastha University, and the University of Toronto conducted a new study on the protein expression-based risk model they developed to predict recurrence-free survival for ESCC patients. On September 14, 2022, their research paper was published in Oncotarget’s Volume 13, and entitled, “Prediction of recurrence free survival for esophageal cancer patients using a protein signature based risk model.” “Our study is important because: (i) it is based on changes in expression levels of the biomarker proteins in different subcellular compartments and is not limited to alterations in the overall protein expression levels; (ii) investigates the comprehensive clinical relevance of subcellular alterations in expression of multiple key components of Wnt pathway in the same ESCC patients’ cohort; (iii) correlates these findings with disease outcome and (iv) develops a Biomarker risk score for defining the risk of recurrence of ESCCs.” Full blog - https://www.oncotarget.org/2022/09/23/protein-based-risk-model-predicts-esophageal-cancer-recurrence/ DOI - https://doi.org/10.18632/oncotarget.10656 Correspondence to - Ranju Ralhan - rralhan@mtsinai.on.ca, Shyam S. Chauhan - s_s_chauhan@hotmail.com Sign up for free Altmetric alerts about this article - https://oncotarget.altmetric.com/details/email_updates?id=10.18632%2Foncotarget.10656 Keywords - esophageal cancer, wnt proteins, disheveled, molecular markers, prognosis About Oncotarget Oncotarget is a primarily oncology-focused, peer-reviewed, open access journal. Papers are published continuously within yearly volumes in their final and complete form, and then quickly released to Pubmed. To learn more about Oncotarget, please visit https://www.oncotarget.com and connect with us: SoundCloud - https://soundcloud.com/oncotarget Facebook - https://www.facebook.com/Oncotarget/ Twitter - https://twitter.com/oncotarget Instagram - https://www.instagram.com/oncotargetjrnl/ YouTube - https://www.youtube.com/OncotargetYouTube LinkedIn - https://www.linkedin.com/company/oncotarget Pinterest - https://www.pinterest.com/oncotarget/ Reddit - https://www.reddit.com/user/Oncotarget/ Media Contact MEDIA@IMPACTJOURNALS.COM 18009220957