Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Carolina Schinke and Timothy Ashby.
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Connection Strength |
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1.320 |
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Schinke C, Boyle EM, Ashby C, Wang Y, Lyzogubov V, Wardell C, Qu P, Hoering A, Deshpande S, Ryan K, Thanendrarajan S, Mohan M, Yarlagadda N, Khan M, Choudhury SR, Zangari M, van Rhee F, Davies F, Barlogie B, Morgan G, Walker BA. Genomic analysis of primary plasma cell leukemia reveals complex structural alterations and high-risk mutational patterns. Blood Cancer J. 2020 06 19; 10(6):70.
Score: 0.184
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Ashby C, Tytarenko RG, Wang Y, Weinhold N, Johnson SK, Bauer M, Wardell CP, Schinke C, Thanendrarajan S, Zangari M, van Rhee F, Davies FE, Sawyer JR, Morgan GJ, Walker BA. Poor overall survival in hyperhaploid multiple myeloma is defined by double-hit bi-allelic inactivation of TP53. Oncotarget. 2019 Jan 22; 10(7):732-737.
Score: 0.167
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Sabol HM, Ashby C, Adhikari M, Anloague A, Kaur J, Khan S, Choudhury SR, Schinke C, Palmieri M, Barnes CL, Ambrogini E, Nookaew I, Delgado-Calle J. A NOTCH3-CXCL12-driven myeloma-tumor niche signaling axis promotes chemoresistance in multiple myeloma. Haematologica. 2024 08 01; 109(8):2606-2618.
Score: 0.061
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Guo W, Strouse C, Mery D, Siegel ER, Munshi MN, Ashby TC, Cheng Y, Sun F, Wanchai V, Zhang Z, Bailey C, Alapat DV, Peng H, Al Hadidi S, Thanendrarajan S, Schinke C, Zangari M, van Rhee F, Tricot G, Shaughnessy JD, Zhan F. A Risk Stratification System in Myeloma Patients with Autologous Stem Cell Transplantation. Cancers (Basel). 2024 Mar 11; 16(6).
Score: 0.060
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Guo W, Zhan Y, Mery D, Siegel ER, Sun F, Cheng Y, Ashby TC, Zhang Z, Bailey C, Alapat DV, Peng H, Hadidi SA, Thanendrarajan S, Schinke C, Zangari M, van Rhee F, Tricot G, Shaughnessy JD, Zhan F. Prognostic value of ferritin in ASCT MM patients: integration with GEP models and ISS series systems. Blood Cancer J. 2024 02 14; 14(1):30.
Score: 0.059
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Sun F, Cheng Y, Wanchai V, Guo W, Mery D, Xu H, Gai D, Siegel E, Bailey C, Ashby C, Al Hadidi S, Schinke C, Thanendrarajan S, Ma Y, Yi Q, Orlowski RZ, Zangari M, van Rhee F, Janz S, Bishop G, Tricot G, Shaughnessy JD, Zhan F. Bispecific BCMA/CD24 CAR-T cells control multiple myeloma growth. Nat Commun. 2024 Jan 19; 15(1):615.
Score: 0.059
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Cheng Y, Sun F, Alapat DV, Wanchai V, Mery D, Guo W, Cao H, Zhu Y, Ashby C, Bauer MA, Nookaew I, Siegel ER, Ying J, Chen JR, Gai D, Peng B, Xu H, Bailey C, Al Hadidi S, Schinke C, Thanendrarajan S, Zangari M, Chesi M, Bergsagel PL, van Rhee F, Janz S, Tricot G, Shaughnessy JD, Zhan F. High NEK2 expression in myeloid progenitors suppresses T?cell immunity in multiple myeloma. Cell Rep Med. 2023 10 17; 4(10):101214.
Score: 0.058
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Sun F, Cheng Y, Ying J, Mery D, Al Hadidi S, Wanchai V, Siegel ER, Xu H, Gai D, Ashby TC, Bailey C, Chen JR, Schinke C, Thanendrarajan S, Zangari M, Janz S, Barlogie B, Van Rhee F, Tricot G, Shaughnessy JD, Zhan F. A gene signature can predict risk of MGUS progressing to multiple myeloma. J Hematol Oncol. 2023 06 29; 16(1):70.
Score: 0.057
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Mohan M, Gong Z, Ashby TC, Al Hadidi S, Thanendrarajan S, Schinke C, Alapat D, Shaughnessy JD, Zhan F, van Rhee F, Sawyer JR, Tian E, Zangari M. Concomitant deletion of the short arm (del(1p13.3)) and amplification or gain (1q21) of chromosome 1 by fluorescence in situ hybridization are associated with a poor clinical outcome in multiple myeloma. Cancer. 2023 08 15; 129(16):2491-2498.
Score: 0.057
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Gai D, Chen JR, Stewart JP, Nookaew I, Habelhah H, Ashby C, Sun F, Cheng Y, Li C, Xu H, Peng B, Garg TK, Schinke C, Thanendrarajan S, Zangari M, Chen F, Barlogie B, van Rhee F, Tricot G, Shaughnessy JD, Zhan F. CST6 suppresses osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation. J Clin Invest. 2022 09 15; 132(18).
Score: 0.054
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Rasche L, Schinke C, Maura F, Bauer MA, Ashby C, Deshpande S, Poos AM, Zangari M, Thanendrarajan S, Davies FE, Walker BA, Barlogie B, Landgren O, Morgan GJ, van Rhee F, Weinhold N. The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states. Nat Commun. 2022 08 03; 13(1):4517.
Score: 0.053
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Mikulasova A, Kent D, Trevisan-Herraz M, Karataraki N, Fung KTM, Ashby C, Cieslak A, Yaccoby S, van Rhee F, Zangari M, Thanendrarajan S, Schinke C, Morgan GJ, Asnafi V, Spicuglia S, Brackley CA, Corcoran AE, Hambleton S, Walker BA, Rico D, Russell LJ. Epigenomic translocation of H3K4me3 broad domains over oncogenes following hijacking of super-enhancers. Genome Res. 2022 07; 32(7):1343-1354.
Score: 0.051
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Boyle EM, Rosenthal A, Ghamlouch H, Wang Y, Farmer P, Rutherford M, Ashby C, Bauer M, Johnson SK, Wardell CP, Wang Y, Hoering A, Schinke C, Thanendrarajan S, Zangari M, Barlogie B, Dhodapkar MV, Davies FE, Morgan GJ, van Rhee F, Walker BA. Plasma cells expression from smouldering myeloma to myeloma reveals the importance of the PRC2 complex, cell cycle progression, and the divergent evolutionary pathways within the different molecular subgroups. Leukemia. 2022 02; 36(2):591-595.
Score: 0.050
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Boyle EM, Rosenthal A, Wang Y, Farmer P, Rutherford M, Ashby C, Bauer M, Johnson SK, Wardell CP, Hoering A, Schinke C, Thanendrarajan S, Zangari M, Barlogie B, Davies FE, Walker BA, van Rhee F, Morgan GJ. High-risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse. Br J Haematol. 2021 10; 195(2):283-286.
Score: 0.050
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Boyle EM, Deshpande S, Tytarenko R, Ashby C, Wang Y, Bauer MA, Johnson SK, Wardell CP, Thanendrarajan S, Zangari M, Facon T, Dumontet C, Barlogie B, Arbini A, Rustad EH, Maura F, Landgren O, Zhan F, van Rhee F, Schinke C, Davies FE, Morgan GJ, Walker BA. The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma. Nat Commun. 2021 01 12; 12(1):293.
Score: 0.048
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Deshpande S, Tytarenko RG, Wang Y, Boyle EM, Ashby C, Schinke CD, Thanendrarajan S, Zangari M, Zhan F, Davies FE, Morgan GJ, van Rhee F, Walker BA. Monitoring treatment response and disease progression in myeloma with circulating cell-free DNA. Eur J Haematol. 2021 Feb; 106(2):230-240.
Score: 0.047
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Choudhury SR, Ashby C, Tytarenko R, Bauer M, Wang Y, Deshpande S, Den J, Schinke C, Zangari M, Thanendrarajan S, Davies FE, van Rhee F, Morgan GJ, Walker BA. The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma. J Hematol Oncol. 2020 08 06; 13(1):108.
Score: 0.046
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Boyle EM, Ashby C, Tytarenko RG, Deshpande S, Wang H, Wang Y, Rosenthal A, Sawyer J, Tian E, Flynt E, Hoering A, Johnson SK, Rutherford MW, Wardell CP, Bauer MA, Dumontet C, Facon T, Thanendrarajan S, Schinke CD, Zangari M, van Rhee F, Barlogie B, Cairns D, Jackson G, Thakurta A, Davies FE, Morgan GJ, Walker BA. BRAF and DIS3 Mutations Associate with Adverse Outcome in a Long-term Follow-up of Patients with Multiple Myeloma. Clin Cancer Res. 2020 05 15; 26(10):2422-2432.
Score: 0.045
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Boyle EM, Ashby C, Wardell CP, Rowczenio D, Sachchithanantham S, Wang Y, Johnson SK, Bauer MA, Weinhold N, Kaiser MF, Johnson DC, Jones JR, Pawlyn C, Proszek P, Schinke C, Facon T, Dumontet C, Davies FE, Morgan GJ, Walker BA, Wechalekar AD. The genomic landscape of plasma cells in systemic light chain amyloidosis. Blood. 2018 12 27; 132(26):2775-2777.
Score: 0.041
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Thanendrarajan S, Tian E, Qu P, Mathur P, Schinke C, van Rhee F, Zangari M, Rasche L, Weinhold N, Alapat D, Bellamy W, Ashby C, Mattox S, Epstein J, Yaccoby S, Barlogie B, Hoering A, Bauer M, Walker BA, Davies FE, Morgan GJ. The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma. Haematologica. 2017 09; 102(9):e364-e367.
Score: 0.037
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Weinhold N, Ashby C, Rasche L, Chavan SS, Stein C, Stephens OW, Tytarenko R, Bauer MA, Meissner T, Deshpande S, Patel PH, Buzder T, Molnar G, Peterson EA, van Rhee F, Zangari M, Thanendrarajan S, Schinke C, Tian E, Epstein J, Barlogie B, Davies FE, Heuck CJ, Walker BA, Morgan GJ. Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma. Blood. 2016 09 29; 128(13):1735-44.
Score: 0.035
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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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