Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jillian Dolan"'
Autor:
Clara Grayhack, Palash Asawa, Adriani Cherico, Jillian Dolan, Anuranita Gupta, Shivani Shah, Ryan Sweeney, Amy Whitsel, Ronald Thomas, Rama Bhagavatula, Yazan Samhouri
Publikováno v:
American Journal of Obstetrics and Gynecology. 228:S113
Autor:
Yara Abdou, Jillian Dolan, Shinyoung Park, Sunyoung S. Lee, Seongwon Lee, Jessica Jerez, Andrew Baird
Publikováno v:
Journal of Clinical Oncology. 38:3-3
3 Background: Stroma in the tumor microenvironment (TME) is known to impact prognosis and responses to therapy. Few mathematical models exist to prognosticate patients, based on mRNA expressivity in the TME. Methods: Clinical outcomes data and mRNA-s
Autor:
Sunyoung S. Lee, Shinyoung Park, Andrew Baird, Jillian Dolan, Seongwon Lee, Seok Joon Kwon, Stuart Baird, Renuka Iyer, Ahmed Elkhanany
Publikováno v:
Cancer Research. 79:136-136
The extensive tumor microenvironment (TME) in pancreatic adenocarcinoma (PAD) modulates cancer progression and impact prognosis. Although gene analysis has enhanced understanding of cancer biology, few models exist to model prognosis in association w
Autor:
Jillian Dolan, Andrew Baird, Sunyoung S. Lee, Shinyoung Park, Stuart Baird, Ahmed Elkhanany, Dong Chan Lee
Publikováno v:
Journal of Clinical Oncology. 37:8544-8544
8544 Background: The tumor microenvironment (TME) influences prognosis and response to therapy. The correlation between immune profiles in the TME and cancer DNA mutations is not well established. Methods: Clinical outcomes data, mRNA-seq, and DNA mu
Autor:
Dong Eun Lee, Saby George, Shinyoung Park, Sunyoung S. Lee, Seongwon Lee, Jillian Dolan, Andrew Baird
Publikováno v:
Journal of Clinical Oncology. 37:64-64
64 Background: Stroma in the tumor microenvironment (TME) influences prognosis and response to therapy. Few mathematical models exist to prognosticate patients (pts), based on mRNA expressivity in the TME. Methods: Clinical outcomes data and mRNA-seq
Autor:
Sunyoung S. Lee, Andrew Baird, Dong Eun Lee, Saby George, Jillian Dolan, Seok Joon Kwon, Seongwon Lee, Shinyoung Park
Publikováno v:
Journal of Clinical Oncology. 37:557-557
557 Background: Stroma in the tumor microenvironment (TME) influences prognosis and response to therapy. Few mathematical models exist to prognosticate patients (pts), based on mRNA expressivity in the TME. Methods: Clinical outcomes data and mRNA-se
Autor:
Fateeha Farrukh, Jillian Dolan, Andrew Baird, Sunyoung S. Lee, Stuart Baird, Jessica Jerez, Ahmed Elkhanany
Publikováno v:
Journal of Clinical Oncology. 37:608-608
608 Background: Stromal elements in the tumor microenvironment (TME) impact prognosis and response to therapy. Advances in mRNA-seq improved understanding of gene expressivity, but few models exist to model prognosis in association with mRNA expressi
Publikováno v:
Journal of Clinical Oncology. 36:266-266
266 Background: The characteristic histological feature of pancreatic adenocarcinoma (PAD) is extensive desmoplasia alongside leukocytes and cancer-associated fibroblasts. Desmoplasia is a known barrier to the absorption and penetration of therapeuti