Sharada Sawant1, Chetan Ahire1, Harsh Dongre2, Shriya Joshi1, Sayli Jamghare1, Pallavi Rane3, Shubhada Kane4, Devendra Chaukar5. 1. Vaidya Laboratory, Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India. 2. Department of Clinical Medicine and Centre for Cancer Biomarkers, Haukeland University Hospital, University of Bergen, Bergen, Norway. 3. Epidemiology and Clinical Trials Unit, Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India. 4. Department of Pathology, Tata Memorial Hospital (TMH), Mumbai, India. 5. Oral Surgery, Head and Neck Unit, Tata Memorial Hospital, Mumbai, Maharashtra, India.
Abstract
BACKGROUND: Availability of reliable methods distinguishing high-risk recurrent tumours from regressive tumours prior to surgery could help in better management of the disease. This study was aimed to estimate pre-surgical serum CD44 concentration and assess the possibility of using it as a non-invasive prognostic tool in oral cancer. METHODS: ELISA was performed on pre-surgical serum samples from 64 primary oral cancer patients and 16 healthy individuals to estimate soluble CD44 levels. Immunohistochemistry was performed on parallel 64 solid tumours and 10 recurrent tumours. All patients clinically followed up for median period of 19.2 months and obtained prognostic information correlated with CD44 concentration in serum as well as in tumours. RESULTS: Serum CD44 concentration was found significantly high in patients as compared to healthy individuals (P < .001) and also in patients whose disease locally recurred as compared to those did not recur (P = 0026). High serum CD44 concentration inversely affected on patients survival (P = .032). CD44v6 staining intensity was detected significantly high in recurrent tumours as compared to primary tumours (P < .001), and it also correlated with poor survival (P < .001). Furthermore, in combination, patients with increased CD44 concentration in serum and CD44v6 expression in tumours significantly correlated with local recurrence (P < .001) and poor survival (P < .001). CONCLUSION: Our data suggest that the ELISA-based estimation of pre-surgical serum CD44 concentration could be a non-invasive reliable method distinguishing high-risk recurrent tumours which can further assist in post-surgery treatment planning.
BACKGROUND: Availability of reliable methods distinguishing high-risk recurrent tumours from regressive tumours prior to surgery could help in better management of the disease. This study was aimed to estimate pre-surgical serum CD44 concentration and assess the possibility of using it as a non-invasive prognostic tool in oral cancer. METHODS: ELISA was performed on pre-surgical serum samples from 64 primary oral cancerpatients and 16 healthy individuals to estimate soluble CD44 levels. Immunohistochemistry was performed on parallel 64 solid tumours and 10 recurrent tumours. All patients clinically followed up for median period of 19.2 months and obtained prognostic information correlated with CD44 concentration in serum as well as in tumours. RESULTS: Serum CD44 concentration was found significantly high in patients as compared to healthy individuals (P < .001) and also in patients whose disease locally recurred as compared to those did not recur (P = 0026). High serum CD44 concentration inversely affected on patients survival (P = .032). CD44v6 staining intensity was detected significantly high in recurrent tumours as compared to primary tumours (P < .001), and it also correlated with poor survival (P < .001). Furthermore, in combination, patients with increased CD44 concentration in serum and CD44v6 expression in tumours significantly correlated with local recurrence (P < .001) and poor survival (P < .001). CONCLUSION: Our data suggest that the ELISA-based estimation of pre-surgical serum CD44 concentration could be a non-invasive reliable method distinguishing high-risk recurrent tumours which can further assist in post-surgery treatment planning.
Authors: Vinata B Lokeshwar; Daley S Morera; Sarrah L Hasanali; Travis J Yates; Marie C Hupe; Judith Knapp; Soum D Lokeshwar; Jiaojiao Wang; Martin J P Hennig; Rohitha Baskar; Diogo O Escudero; Ronny R Racine; Neetika Dhir; Andre R Jordan; Kelly Hoye; Ijeoma Azih; Murugesan Manoharan; Zachary Klaassen; Sravan Kavuri; Luis E Lopez; Santu Ghosh; Bal L Lokeshwar Journal: Clin Cancer Res Date: 2020-02-24 Impact factor: 12.531
Authors: Niklas Mueller; Daniel Wicklein; Gregor Eisenwort; Mohamad Jawhar; Daniela Berger; Gabriele Stefanzl; Georg Greiner; Alexandra Boehm; Christoph Kornauth; Leonhard Muellauer; Susanne Sehner; Gregor Hoermann; Wolfgang R Sperr; Philipp B Staber; Ulrich Jaeger; Johannes Zuber; Michel Arock; Udo Schumacher; Andreas Reiter; Peter Valent Journal: Blood Date: 2018-07-17 Impact factor: 22.113