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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Todd Pitts and Brian Freed.

 
Connection Strength
 
 
 
0.351
 
  1. Lang J, Leal AD, Mar?n-Jim?nez JA, Hartman SJ, Shulman J, Navarro NM, Lewis MS, Capasso A, Bagby SM, Yacob BW, MacBeth M, Freed BM, Eckhardt SG, Jordan K, Blatchford PJ, Pelanda R, Lieu CH, Messersmith WA, Pitts TM. Cabozantinib sensitizes microsatellite stable colorectal cancer to immune checkpoint blockade by immune modulation in human immune system mouse models. Front Oncol. 2022; 12:877635.
    View in: PubMed
    Score: 0.217
  2. Mar?n-Jim?nez JA, Capasso A, Lewis MS, Bagby SM, Hartman SJ, Shulman J, Navarro NM, Yu H, Rivard CJ, Wang X, Barkow JC, Geng D, Kar A, Yingst A, Tufa DM, Dolan JT, Blatchford PJ, Freed BM, Torres RM, Davila E, Slansky JE, Pelanda R, Eckhardt SG, Messersmith WA, Diamond JR, Lieu CH, Verneris MR, Wang JH, Kiseljak-Vassiliades K, Pitts TM, Lang J. Testing Cancer Immunotherapy in a Human Immune System Mouse Model: Correlating Treatment Responses to Human Chimerism, Therapeutic Variables and Immune Cell Phenotypes. Front Immunol. 2021; 12:607282.
    View in: PubMed
    Score: 0.048
  3. Lang J, Capasso A, Jordan KR, French JD, Kar A, Bagby SM, Barbee J, Yacob BW, Head LS, Tompkins KD, Freed BM, Somerset H, Clark TJ, Pitts TM, Messersmith WA, Eckhardt SG, Wierman ME, Leong S, Kiseljak-Vassiliades K. Development of an Adrenocortical Cancer Humanized Mouse Model to Characterize Anti-PD1 Effects on Tumor Microenvironment. J Clin Endocrinol Metab. 2020 01 01; 105(1).
    View in: PubMed
    Score: 0.044
  4. Capasso A, Lang J, Pitts TM, Jordan KR, Lieu CH, Davis SL, Diamond JR, Kopetz S, Barbee J, Peterson J, Freed BM, Yacob BW, Bagby SM, Messersmith WA, Slansky JE, Pelanda R, Eckhardt SG. Characterization of immune responses to anti-PD-1 mono and combination immunotherapy in hematopoietic humanized mice implanted with tumor xenografts. J Immunother Cancer. 2019 02 08; 7(1):37.
    View in: PubMed
    Score: 0.042
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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