Connection
Sharmilan Thanendrarajan to Prognosis
This is a "connection" page, showing publications Sharmilan Thanendrarajan has written about Prognosis.
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Connection Strength |
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0.460 |
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Akhtar OS, Szabo A, Bhatlapenumarthi V, Forsberg M, Balev M, Patwari A, Cheruvalath H, Bhutani D, Thanendrarajan S, Dhakal B, Zangari M, Patel T, Shrestha A, Al-Hadidi S, Cooper D, Lentzsch S, van Rhee F, Shah MR, Bag A, D'Souza A, Schinke C, Chakraborty R, Shah N, Mohan M. Immune prognostic score predicts the risk of infection and survival outcomes in patients with relapsed multiple myeloma treated with bispecific antibodies. Br J Haematol. 2024 Nov; 205(5):1830-1834.
Score: 0.041
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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: 0.040
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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: 0.038
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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: 0.033
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Mohan M, Szabo A, Yarlagadda N, Gundarlapalli S, Thanendrarajan S, Kendrick S, Schinke C, Alapat D, Sawyer J, Tian E, Tricot G, van Rhee F, Zangari M. Persistent bone marrow minimal residual disease as a "high-risk" disease feature in multiple myeloma. Am J Hematol. 2021 09 01; 96(9):E341-E344.
Score: 0.033
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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: 0.032
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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: 0.030
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Sawyer JR, Tian E, Walker BA, Wardell C, Lukacs JL, Sammartino G, Bailey C, Schinke CD, Thanendrarajan S, Davies FE, Morgan GJ, Barlogie B, Zangari M, van Rhee F. An acquired high-risk chromosome instability phenotype in multiple myeloma: Jumping 1q Syndrome. Blood Cancer J. 2019 08 09; 9(8):62.
Score: 0.029
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Rasche L, Kumar M, Gershner G, Samant R, Van Hemert R, Heidemeier A, Lapa C, Bley T, Buck A, McDonald J, Hillengass J, Epstein J, Thanendrarajan S, Schinke C, van Rhee F, Zangari M, Barlogie B, Davies FE, Morgan GJ, Weinhold N. Lack of Spleen Signal on Diffusion Weighted MRI is associated with High Tumor Burden and Poor Prognosis in Multiple Myeloma: A Link to Extramedullary Hematopoiesis? Theranostics. 2019; 9(16):4756-4763.
Score: 0.029
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Rasche L, Alapat D, Kumar M, Gershner G, McDonald J, Wardell CP, Samant R, Van Hemert R, Epstein J, Williams AF, Thanendrarajan S, Schinke C, Bauer M, Ashby C, Tytarenko RG, van Rhee F, Walker BA, Zangari M, Barlogie B, Davies FE, Morgan GJ, Weinhold N. Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma. Leukemia. 2019 07; 33(7):1713-1722.
Score: 0.028
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Davies FE, Rosenthal A, Rasche L, Petty NM, McDonald JE, Ntambi JA, Steward DM, Panozzo SB, van Rhee F, Zangari M, Schinke CD, Thanendrarajan S, Walker B, Weinhold N, Barlogie B, Hoering A, Morgan GJ. Treatment to suppression of focal lesions on positron emission tomography-computed tomography is a therapeutic goal in newly diagnosed multiple myeloma. Haematologica. 2018 06; 103(6):1047-1053.
Score: 0.026
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Schinke C, Qu P, Mehdi SJ, Hoering A, Epstein J, Johnson SK, van Rhee F, Zangari M, Thanendrarajan S, Barlogie B, Davies FE, Yaccoby S, Morgan GJ. The Pattern of Mesenchymal Stem Cell Expression Is an Independent Marker of Outcome in Multiple Myeloma. Clin Cancer Res. 2018 06 15; 24(12):2913-2919.
Score: 0.026
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Mohan M, Buros A, Mathur P, Gokden N, Singh M, Susanibar S, Jo Kamimoto J, Hoque S, Radhakrishnan M, Matin A, Davis C, Grazziutti M, Thanendrarajan S, van Rhee F, Zangari M, Davies F, Morgan G, Epstein J, Barlogie B, Schinke C. Clinical characteristics and prognostic factors in multiple myeloma patients with light chain deposition disease. Am J Hematol. 2017 Aug; 92(8):739-745.
Score: 0.025
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Chavan SS, He J, Tytarenko R, Deshpande S, Patel P, Bailey M, Stein CK, Stephens O, Weinhold N, Petty N, Steward D, Rasche L, Bauer M, Ashby C, Peterson E, Ali S, Ross J, Miller VA, Stephens P, Thanendrarajan S, Schinke C, Zangari M, van Rhee F, Barlogie B, Mughal TI, Davies FE, Morgan GJ, Walker BA. Bi-allelic inactivation is more prevalent at relapse in multiple myeloma, identifying RB1 as an independent prognostic marker. Blood Cancer J. 2017 02 24; 7(2):e535.
Score: 0.025
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McDonald JE, Kessler MM, Gardner MW, Buros AF, Ntambi JA, Waheed S, van Rhee F, Zangari M, Heuck CJ, Petty N, Schinke C, Thanendrarajan S, Mitchell A, Hoering A, Barlogie B, Morgan GJ, Davies FE. Assessment of Total Lesion Glycolysis by 18F FDG PET/CT Significantly Improves Prognostic Value of GEP and ISS in Myeloma. Clin Cancer Res. 2017 04 15; 23(8):1981-1987.
Score: 0.024
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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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