Siamab Therapeutics Presents Promising Preclinical Data at 2016 AACR Ovarian Cancer Research Symposium (Seattle) Ovarian Cancer and Us OVARIAN CANCER and US Ovarian Cancer and Us

Blog Archives: Nov 2004 - present

#ovariancancers



Special items: Ovarian Cancer and Us blog best viewed in Firefox

Search This Blog

Wednesday, September 14, 2016

Siamab Therapeutics Presents Promising Preclinical Data at 2016 AACR Ovarian Cancer Research Symposium (Seattle)



financial news

Siamab Therapeutics, Inc., a biotechnology company developing novel cancer immunotherapies, today announced new pre-clinical data that showed its novel ST1 antibody drug conjugates (ADCs) target chemoresistant ovarian cancer cells and demonstrate strong efficacy in ovarian cancer models. These data were presented at the American Association for Cancer Research (AACR)’s 11th Biennial Ovarian Cancer Research Symposium 2016 in Seattle, Wash., on Monday, Sept. 12, 2016.
Siamab’s ST1 ADCs target the cancer associated antigen, sialyl-Tn (STn) with high specificity and affinity. STn is present on multiple solid tumors including ovarian, pancreatic, prostate and colon, while showing little normal tissue expression, and has been implicated in immune suppression, metastasis, and a cancer stem cell phenotype.
“The preclinical results are exciting and show the potential of our antibody approach to target chemoresistant tumors in ovarian cancer,” said Jeff Behrens, president and chief executive officer of Siamab Therapeutics. “We have developed multiple anti-glycan antibodies and ADCs with unprecedented cancer specificity and efficacy in animal models. These findings hold promise for developing new cancer therapeutics for ovarian cancer patients with disease recurrence who have limited treatment options.”
The preclinical data were presented in a poster titled “Targeting a chemoresistant ovarian cancer cell population via the carbohydrate antigen sialyl Tn.” The findings showed that Siamab’s ST1 ADCs significantly reduce tumor volume in a sustained fashion in ovarian cancer models.....

0 comments :

Post a Comment

Your comments?