Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
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:
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
| |
| 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| None intervention | Other | None intervention. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Mechanism and Immune Function Analysis of SARS-CoV-2 Infection in Hematologic Tumors | 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. | 1 year |
Not provided
Not provided
Inclusion Criteria:
- Clinical diagnosis of hematologic tumors Clinical diagnosis of SARS-CoV-2 infection
Exclusion Criteria:
- Severe diseases associated with other systems
Not provided
Not provided
Not provided
Hospitalized patients with SARS-CoV-2 positive hematologic tumors over 18 years old.
People with SARS-CoV-2 positive without underlying diseases over 18 years old.
Not provided
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Peking University First Hospital | Beijing | Beijing Municipality | 100034 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35202566 | Background | 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. | |
| 34017137 |
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| D019337 | Hematologic Neoplasms |
| D007938 | Leukemia |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
Not provided
Not provided
Not provided
Not provided
Not provided
Peripheral blood mononuclear cells are extracted to perform RNA-sequencing.
| Background |
| 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. |
| 32413330 | Background | 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. |
| 33839760 | Background | 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. |
| 30984872 | Background | 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. |
| 38752789 | Derived | Yang X, Zhu J, Wang Q, Tang B, Shen Y, Wang B, Ji L, Liu H, Wuchty S, Zhang Z, Dong Y, Liang Z. Comparative analysis of dynamic transcriptomes reveals specific COVID-19 features and pathogenesis of immunocompromised populations. mSystems. 2024 Jun 18;9(6):e0138523. doi: 10.1128/msystems.01385-23. Epub 2024 May 16. |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
| D009370 | Neoplasms by Histologic Type |