Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Jon M Davison"'
Autor:
Chunyang Bao, Richard W. Tourdot, Gregory J. Brunette, Chip Stewart, Lili Sun, Hideo Baba, Masayuki Watanabe, Agoston T. Agoston, Kunal Jajoo, Jon M. Davison, Katie S. Nason, Gad Getz, Kenneth K. Wang, Yu Imamura, Robert Odze, Adam J. Bass, Matthew D. Stachler, Cheng-Zhong Zhang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-22 (2023)
Abstract The progression of precancerous lesions to malignancy is often accompanied by increasing complexity of chromosomal alterations but how these alterations arise is poorly understood. Here we perform haplotype-specific analysis of chromosomal c
Externí odkaz:
https://doaj.org/article/283f7ed4b40c43818c5d64ef72721c07
Autor:
Adam J. Bass, Jon M. Davison, Scott J. Rodig, Gordon J. Freeman, Michael S. Goldberg, Ewa Sicinska, Jie Bin Liu, Kevin X. Liu, Matthew D. Stachler, Xiaoyun Liao, Katie S. Nason, Sarah Derks
Supplementary Figure Legend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1395930727f9048ec518bba8f95008d7
https://doi.org/10.1158/2326-6066.22537540
https://doi.org/10.1158/2326-6066.22537540
Autor:
Adam J. Bass, Jon M. Davison, Scott J. Rodig, Gordon J. Freeman, Michael S. Goldberg, Ewa Sicinska, Jie Bin Liu, Kevin X. Liu, Matthew D. Stachler, Xiaoyun Liao, Katie S. Nason, Sarah Derks
Esophageal adenocarcinoma is an increasingly common disease with a dismal 5-year survival rate of 10% to 15%. In the first systematic evaluation of the PD-1 pathway in esophageal adenocarcinoma, we identify expression of PD-L2 in cancer cells in 51.7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dff5b083508553830a757f4bc9f3426
https://doi.org/10.1158/2326-6066.c.6548467.v1
https://doi.org/10.1158/2326-6066.c.6548467.v1
Autor:
Adam J. Bass, Jon M. Davison, Scott J. Rodig, Gordon J. Freeman, Michael S. Goldberg, Ewa Sicinska, Jie Bin Liu, Kevin X. Liu, Matthew D. Stachler, Xiaoyun Liao, Katie S. Nason, Sarah Derks
PD-L2 expression in patient derived xenografts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d1fc4d7d56921edbd57bed50b3f5317
https://doi.org/10.1158/2326-6066.22537537.v1
https://doi.org/10.1158/2326-6066.22537537.v1
Autor:
Adam J. Bass, Jon M. Davison, Scott J. Rodig, Gordon J. Freeman, Michael S. Goldberg, Ewa Sicinska, Jie Bin Liu, Kevin X. Liu, Matthew D. Stachler, Xiaoyun Liao, Katie S. Nason, Sarah Derks
Supplementary Methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d24b56429791aa1542c58844db6ad9a
https://doi.org/10.1158/2326-6066.22537531
https://doi.org/10.1158/2326-6066.22537531
Autor:
Gary W. Falk, Anil Rustgi, Jacques J.G.H.M. Bergman, Lucas C. Duits, Ali H. Zaidi, Blair A. Jobe, Tyler Foxwell, Maureen DeMarshall, Gregory G. Ginsberg, Nirag C. Jhala, David L. Diehl, Jinhong Li, Kathleen Repa, Yi Zhang, Lia M. Reese, Jeffrey W. Prichard, Jon M. Davison, Rebecca J. Critchley-Thorne
Table S1. 15 Image Analysis Features Utilized by the Risk Classifier Table S2. Performance of Risk Classes Predicted by Test vs. Pathologic Diagnosis in Stratifying BE Patients with Prevalent HGD/EAC from Non-Progressor BE Patients. Figure S1. Repres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b80914c7a023e225530485d09ca4a39a
https://doi.org/10.1158/1055-9965.22436215
https://doi.org/10.1158/1055-9965.22436215
Autor:
Gary W. Falk, Jacques J.G.H.M. Bergman, Anil K. Rustgi, D. Lansing Taylor, Ali H. Zaidi, Tyler Foxwell, Maureen DeMarshall, Gregory Ginsberg, Nirag C. Jhala, David L. Diehl, Jinhong Li, Lia M. Reese, Kathleen A. Repa, Yi Zhang, Bruce B. Campbell, Blair A. Jobe, Jon M. Davison, Jeffrey W. Prichard, Lucas C. Duits, Rebecca J. Critchley-Thorne
Table S1. Summary of Progression Endpoints in Incident Progressor Patients. Table S2. Correlation Among Quantitative Image Analysis Features Derived from the Same Candidate Biomarkers. Table S3. Comparison of Predictive Performance of Risk Classes Pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48e97cebf51bb4c076aea75af5a0021a
https://doi.org/10.1158/1055-9965.22438599.v1
https://doi.org/10.1158/1055-9965.22438599.v1
Autor:
Gary W. Falk, Anil Rustgi, Jacques J.G.H.M. Bergman, Lucas C. Duits, Ali H. Zaidi, Blair A. Jobe, Tyler Foxwell, Maureen DeMarshall, Gregory G. Ginsberg, Nirag C. Jhala, David L. Diehl, Jinhong Li, Kathleen Repa, Yi Zhang, Lia M. Reese, Jeffrey W. Prichard, Jon M. Davison, Rebecca J. Critchley-Thorne
Background: There is a need for improved tools to detect high-grade dysplasia (HGD) and esophageal adenocarcinoma (EAC) in patients with Barrett's esophagus. In previous work, we demonstrated that a 3-tier classifier predicted risk of incident progre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::559b29abbff874c7ff9988ebbcca40b3
https://doi.org/10.1158/1055-9965.c.6515284.v1
https://doi.org/10.1158/1055-9965.c.6515284.v1
Autor:
Gary W. Falk, Jacques J.G.H.M. Bergman, Anil K. Rustgi, D. Lansing Taylor, Ali H. Zaidi, Tyler Foxwell, Maureen DeMarshall, Gregory Ginsberg, Nirag C. Jhala, David L. Diehl, Jinhong Li, Lia M. Reese, Kathleen A. Repa, Yi Zhang, Bruce B. Campbell, Blair A. Jobe, Jon M. Davison, Jeffrey W. Prichard, Lucas C. Duits, Rebecca J. Critchley-Thorne
Background: Better methods are needed to predict risk of progression for Barrett's esophagus. We aimed to determine whether a tissue systems pathology approach could predict progression in patients with nondysplastic Barrett's esophagus, indefinite f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41fc3fc4f9346d5fb548b5841811eed4
https://doi.org/10.1158/1055-9965.c.6516444.v1
https://doi.org/10.1158/1055-9965.c.6516444.v1
Publikováno v:
Disease Models & Mechanisms, Vol 7, Iss 1, Pp 93-106 (2014)
Dysregulated phosphatidylinositol (PI) signaling has been implicated in human gastrointestinal (GI) malignancies and inflammatory states, underlining the need to study pathophysiological roles of PI in an in vivo genetic model. Here, we study the sig
Externí odkaz:
https://doaj.org/article/756afe2e610742248b68226809d3d786