Mechanism and Immune Function Analysis of SARS-CoV-2 Infection in Hematologic Tumors
NCT ID: NCT05683353
Last Updated: 2025-05-31
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
60 participants
OBSERVATIONAL
2022-12-14
2025-12-31
Brief Summary
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Detailed Description
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Comparative analysis:
1. To compare the immune function of patients with hematologic tumors and those without underlying diseases after infection with SARS-CoV-2.
2. The transcriptomic and proteomic changes of patients with hematologic tumors are compared with those without underlying diseases after infection with SARS-CoV-2.
3. From the perspective of complex (human protein interaction subnetwork), the dynamic change process of SARS-CoV-2-targeted human protein complex (periodic complex) was deeply explored, in order to further analyze its potential dynamic infection mechanism and provide new clues for the discovery of drug targets.
Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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Patients with SARS-CoV-2 positive hematologic tumors
Patients with SARS-CoV-2 positive hematologic tumors over 18 years old excluding patients with severe diseases associated with other systems.
None intervention
None intervention.
People with SARS-CoV-2 positive without underlying diseases
People with SARS-CoV-2 positive without underlying diseases over 18 years old excluding people with severe diseases associated with other systems.
None intervention
None intervention.
Interventions
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None intervention
None intervention.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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Peking University First Hospital
OTHER
Responsible Party
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Yujun DONG
chief of department of hematology
Locations
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Peking University First Hospital
Beijing, Beijing Municipality, China
Countries
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References
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Naranbhai V, Nathan A, Kaseke C, Berrios C, Khatri A, Choi S, Getz MA, Tano-Menka R, Ofoman O, Gayton A, Senjobe F, Zhao Z, St Denis KJ, Lam EC, Carrington M, Garcia-Beltran WF, Balazs AB, Walker BD, Iafrate AJ, Gaiha GD. T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals. Cell. 2022 Mar 17;185(6):1041-1051.e6. doi: 10.1016/j.cell.2022.01.029. Epub 2022 Feb 3.
Bange EM, Han NA, Wileyto P, Kim JY, Gouma S, Robinson J, Greenplate AR, Hwee MA, Porterfield F, Owoyemi O, Naik K, Zheng C, Galantino M, Weisman AR, Ittner CAG, Kugler EM, Baxter AE, Oniyide O, Agyekum RS, Dunn TG, Jones TK, Giannini HM, Weirick ME, McAllister CM, Babady NE, Kumar A, Widman AJ, DeWolf S, Boutemine SR, Roberts C, Budzik KR, Tollett S, Wright C, Perloff T, Sun L, Mathew D, Giles JR, Oldridge DA, Wu JE, Alanio C, Adamski S, Garfall AL, Vella LA, Kerr SJ, Cohen JV, Oyer RA, Massa R, Maillard IP, Maxwell KN, Reilly JP, Maslak PG, Vonderheide RH, Wolchok JD, Hensley SE, Wherry EJ, Meyer NJ, DeMichele AM, Vardhana SA, Mamtani R, Huang AC. CD8+ T cells contribute to survival in patients with COVID-19 and hematologic cancer. Nat Med. 2021 Jul;27(7):1280-1289. doi: 10.1038/s41591-021-01386-7. Epub 2021 May 20.
Ni L, Ye F, Cheng ML, Feng Y, Deng YQ, Zhao H, Wei P, Ge J, Gou M, Li X, Sun L, Cao T, Wang P, Zhou C, Zhang R, Liang P, Guo H, Wang X, Qin CF, Chen F, Dong C. Detection of SARS-CoV-2-Specific Humoral and Cellular Immunity in COVID-19 Convalescent Individuals. Immunity. 2020 Jun 16;52(6):971-977.e3. doi: 10.1016/j.immuni.2020.04.023. Epub 2020 May 3.
Auwul MR, Rahman MR, Gov E, Shahjaman M, Moni MA. Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19. Brief Bioinform. 2021 Sep 2;22(5):bbab120. doi: 10.1093/bib/bbab120.
Yang S, Fu C, Lian X, Dong X, Zhang Z. Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework. mSystems. 2019 Apr 9;4(2):e00303-18. doi: 10.1128/mSystems.00303-18. eCollection 2019 Mar-Apr.
Other Identifiers
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PekingUFH_
Identifier Type: -
Identifier Source: org_study_id
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