Mechanism and Immune Function Analysis of SARS-CoV-2 Infection in Hematologic Tumors
Study Details
Study Description
Brief Summary
The goal of this observational study is to compare the immune function and infection mechanism of patients with hematologic tumors and those people without underlying diseases after infection with SARS-CoV-2. Clinical characteristics, treatment options and responses will be collected. Peripheral blood will be collected from patients with hematologic tumors infected with SARS-CoV-2 and those people without underlying diseases infected with SARS-CoV-2.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
To establish a retrospective and prospective cohort of patients with hematologic tumors infected with SARS-CoV-2 and people without underlying diseases infected with SARS-CoV-2. Firstly, peripheral blood samples will be collected at infection time points and after SARS-CoV-2 nucleic acid testing turns negative. Subsequently, the transcriptome sequencing and immunological experiments will be performed to analyze the differentially expressed genes, immune function of cells, etc.
Comparative analysis:
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To compare the immune function of patients with hematologic tumors and those without underlying diseases after infection with SARS-CoV-2.
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The transcriptomic and proteomic changes of patients with hematologic tumors are compared with those without underlying diseases after infection with SARS-CoV-2.
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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.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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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. |
Other: None intervention
None intervention.
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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. |
Other: None intervention
None intervention.
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Outcome Measures
Primary Outcome Measures
- Mechanism and Immune Function Analysis of SARS-CoV-2 Infection in Hematologic Tumors [1 year]
To compare the infection mechanism and immune function of patients with hematologic tumors infected with SARS-CoV-2 and people infected with SARS-CoV-2 without underlying diseases.
Eligibility Criteria
Criteria
Inclusion Criteria:
- Clinical diagnosis of hematologic tumors Clinical diagnosis of SARS-CoV-2 infection
Exclusion Criteria:
- Severe diseases associated with other systems
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Peking University First Hospital | Beijing | Beijing | China | 100034 |
Sponsors and Collaborators
- Peking University First Hospital
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
- 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.
- 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.
- 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. Erratum In: Cell. 2022 Mar 31;185(7):1259.
- 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.
- 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.
- PekingUFH_