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Connection

Brian Stevenson to Cancer Vaccines

This is a "connection" page, showing publications Brian Stevenson has written about Cancer Vaccines.
Connection Strength

0.403
  1. Sarivalasis A, Boudousqui? C, Balint K, Stevenson BJ, Gannon PO, Iancu EM, Rossier L, Martin Lluesma S, Mathevet P, Sempoux C, Coukos G, Dafni U, Harari A, Bassani-Sternberg M, Kandalaft LE. A Phase I/II trial comparing autologous dendritic cell vaccine pulsed either with personalized peptides (PEP-DC) or with tumor lysate (OC-DC) in patients with advanced high-grade ovarian serous carcinoma. J Transl Med. 2019 11 26; 17(1):391.
    View in: PubMed
    Score: 0.159
  2. Tanyi JL, Bobisse S, Ophir E, Tuyaerts S, Roberti A, Genolet R, Baumgartner P, Stevenson BJ, Iseli C, Dangaj D, Czerniecki B, Semilietof A, Racle J, Michel A, Xenarios I, Chiang C, Monos DS, Torigian DA, Nisenbaum HL, Michielin O, June CH, Levine BL, Powell DJ, Gfeller D, Mick R, Dafni U, Zoete V, Harari A, Coukos G, Kandalaft LE. Personalized cancer vaccine effectively mobilizes antitumor T cell immunity in ovarian cancer. Sci Transl Med. 2018 04 11; 10(436).
    View in: PubMed
    Score: 0.142
  3. Huber F, Arnaud M, Stevenson BJ, Michaux J, Benedetti F, Thevenet J, Bobisse S, Chiffelle J, Gehert T, M?ller M, Pak H, Kr?mer AI, Altimiras ER, Racle J, Taillandier-Coindard M, Muehlethaler K, Auger A, Saugy D, Murgues B, Benyagoub A, Gfeller D, Laniti DD, Kandalaft L, Rodrigo BN, Bouchaab H, Tissot S, Coukos G, Harari A, Bassani-Sternberg M. A comprehensive proteogenomic pipeline for neoantigen discovery to advance personalized cancer immunotherapy. Nat Biotechnol. 2025 Aug; 43(8):1360-1372.
    View in: PubMed
    Score: 0.056
  4. Mohsen MO, Speiser DE, Michaux J, Pak H, Stevenson BJ, Vogel M, Inchakalody VP, de Brot S, Dermime S, Coukos G, Bassani-Sternberg M, Bachmann MF. Bedside formulation of a personalized multi-neoantigen vaccine against mammary carcinoma. J Immunother Cancer. 2022 01; 10(1).
    View in: PubMed
    Score: 0.046
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.