Clinical trial · Observational
Mechanism and Immune Function Analysis of SARS-CoV-2 Infection in Hematologic Tumors
Mechanism and Immune Function Analysis of SARS-CoV-2 Infection in Hematologic Tumors and Discovery of Potential Drug Targets
NCT05683353CI-TRIAL-00090404active not recruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 17, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260917-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Hematologic Malignancy | Hematopoietic and Lymphoid Cell Neoplasm | ALIAS | 0.90 |
| SARS-CoV-2 Infection | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| None intervention | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- Patients with SARS-CoV-2 positive hematologic tumors
- description
- Patients with SARS-CoV-2 positive hematologic tumors over 18 years old excluding patients with severe diseases associated with other systems.
- interventionNames
- Other: None intervention
- label
- People with SARS-CoV-2 positive without underlying diseases
- description
- People with SARS-CoV-2 positive without underlying diseases over 18 years old excluding people with severe diseases associated with other systems.
- interventionNames
- Other: None intervention
Primary outcomes (1)
- measure
- Mechanism and Immune Function Analysis of SARS-CoV-2 Infection in Hematologic Tumors
- timeFrame
- 1 year
- description
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: \- Clinical diagnosis of hematologic tumors Clinical diagnosis of SARS-CoV-2 infection Exclusion Criteria: \- Severe diseases associated with other systems
References
Publications (7)
- BACKGROUNDNaranbhai 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. PMID 35202566
- BACKGROUNDBange 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. PMID 34017137
- BACKGROUNDNi 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. PMID 32413330
- BACKGROUNDAuwul 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. PMID 33839760
- BACKGROUNDYang 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.