 Connection
Yong-Chen Lu to Antigens, Neoplasm
This is a "connection" page, showing publications Yong-Chen Lu has written about Antigens, Neoplasm.
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Connection Strength |
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4.351 |
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Lu YC, Zheng Z, Lowery FJ, Gartner JJ, Prickett TD, Robbins PF, Rosenberg SA. Direct identification of neoantigen-specific TCRs from tumor specimens by high-throughput single-cell sequencing. J Immunother Cancer. 2021 07; 9(7).
Score: 0.728
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Leko V, McDuffie LA, Zheng Z, Gartner JJ, Prickett TD, Apolo AB, Agarwal PK, Rosenberg SA, Lu YC. Identification of Neoantigen-Reactive Tumor-Infiltrating Lymphocytes in Primary Bladder Cancer. J Immunol. 2019 06 15; 202(12):3458-3467.
Score: 0.626
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Lu YC, Zheng Z, Robbins PF, Tran E, Prickett TD, Gartner JJ, Li YF, Ray S, Franco Z, Bliskovsky V, Fitzgerald PC, Rosenberg SA. An Efficient Single-Cell RNA-Seq Approach to Identify Neoantigen-Specific T Cell Receptors. Mol Ther. 2018 02 07; 26(2):379-389.
Score: 0.564
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Lu YC, Parker LL, Lu T, Zheng Z, Toomey MA, White DE, Yao X, Li YF, Robbins PF, Feldman SA, van der Bruggen P, Klebanoff CA, Goff SL, Sherry RM, Kammula US, Yang JC, Rosenberg SA. Treatment of Patients With Metastatic Cancer Using a Major Histocompatibility Complex Class II-Restricted T-Cell Receptor Targeting the Cancer Germline Antigen MAGE-A3. J Clin Oncol. 2017 Oct 10; 35(29):3322-3329.
Score: 0.557
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Lu YC, Robbins PF. Cancer immunotherapy targeting neoantigens. Semin Immunol. 2016 02; 28(1):22-7.
Score: 0.494
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Lu YC, Yao X, Crystal JS, Li YF, El-Gamil M, Gross C, Davis L, Dudley ME, Yang JC, Samuels Y, Rosenberg SA, Robbins PF. Efficient identification of mutated cancer antigens recognized by T cells associated with durable tumor regressions. Clin Cancer Res. 2014 Jul 01; 20(13):3401-10.
Score: 0.448
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Lowery FJ, Krishna S, Yossef R, Parikh NB, Chatani PD, Zacharakis N, Parkhurst MR, Levin N, Sindiri S, Sachs A, Hitscherich KJ, Yu Z, Vale NR, Lu YC, Zheng Z, Jia L, Gartner JJ, Hill VK, Copeland AR, Nah SK, Masi RV, Gasmi B, Kivitz S, Paria BC, Florentin M, Kim SP, Hanada KI, Li YF, Ngo LT, Ray S, Shindorf ML, Levi ST, Shepherd R, Toy C, Parikh AY, Prickett TD, Kelly MC, Beyer R, Goff SL, Yang JC, Robbins PF, Rosenberg SA. Molecular signatures of antitumor neoantigen-reactive T cells from metastatic human cancers. Science. 2022 02 25; 375(6583):877-884.
Score: 0.190
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Pasetto A, Lu YC. Single-Cell TCR and Transcriptome Analysis: An Indispensable Tool for Studying T-Cell Biology and Cancer Immunotherapy. Front Immunol. 2021; 12:689091.
Score: 0.181
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Lo W, Parkhurst M, Robbins PF, Tran E, Lu YC, Jia L, Gartner JJ, Pasetto A, Deniger D, Malekzadeh P, Shelton TE, Prickett T, Ray S, Kivitz S, Paria BC, Kriley I, Schrump DS, Rosenberg SA. Immunologic Recognition of a Shared p53 Mutated Neoantigen in a Patient with Metastatic Colorectal Cancer. Cancer Immunol Res. 2019 04; 7(4):534-543.
Score: 0.154
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Yao X, Lu YC, Parker LL, Li YF, El-Gamil M, Black MA, Xu H, Feldman SA, van der Bruggen P, Rosenberg SA, Robbins PF. Isolation and Characterization of an HLA-DPB1*04: 01-restricted MAGE-A3 T-Cell Receptor for Cancer Immunotherapy. J Immunother. 2016 06; 39(5):191-201.
Score: 0.128
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Lu YC, Robbins PF. Targeting neoantigens for cancer immunotherapy. Int Immunol. 2016 07; 28(7):365-70.
Score: 0.128
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Robbins PF, Lu YC, El-Gamil M, Li YF, Gross C, Gartner J, Lin JC, Teer JK, Cliften P, Tycksen E, Samuels Y, Rosenberg SA. Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells. Nat Med. 2013 Jun; 19(6):747-52.
Score: 0.103
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Kim SP, Vale NR, Zacharakis N, Krishna S, Yu Z, Gasmi B, Gartner JJ, Sindiri S, Malekzadeh P, Deniger DC, Lowery FJ, Parkhurst MR, Ngo LT, Ray S, Li YF, Hill V, Florentin M, Masi RV, Paria BC, Levin N, Bera A, Hedges EA, Choi A, Chatani PD, Parikh AY, Levi S, Seitter S, Lu YC, Zheng Z, Prickett TD, Jia L, Hernandez JM, Hoang CD, Robbins PF, Goff SL, Sherry RM, Yang JC, Rosenberg SA. Adoptive Cellular Therapy with Autologous Tumor-Infiltrating Lymphocytes and T-cell Receptor-Engineered T Cells Targeting Common p53 Neoantigens in Human Solid Tumors. Cancer Immunol Res. 2022 08 03; 10(8):932-946.
Score: 0.049
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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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