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SARS-CoV-2 InfectionNCT05683353

Mechanism and Immune Function Analysis of SARS-CoV-2 Infection in Hematologic Tumors

An observational study of SARS-CoV-2 Infection and Hematologic Malignancy, run by Peking University First Hospital at 1 site in China.

Active, not recruiting

Under way, not looking for participants. Everyone needed has enrolled. The study is still running.

Official record
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Trial 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. Read more about this study

Who is it for?
Ages 18 years and olderHealthy volunteers can take part
Conditions the study is for
SARS-CoV-2 Infection, Hematologic Malignancy
What is being tested?
None intervention
How many people
60 participants
Where
1 siteChina
Study dates
14 Dec 2022to Dec 2027
Phase
Observational
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Study population: 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.

Who may be able to join

  • Clinical diagnosis of hematologic tumors Clinical diagnosis of SARS-CoV-2 infection

Who cannot join

  • Severe diseases associated with other systems

Trial locations and contacts

1 site in 1 country.

China1 site
  • Peking University First Hospital

    Beijing, Beijing Municipality, 100034

Other trials in China

About this study

Official title: Mechanism and Immune Function Analysis of SARS-CoV-2 Infection in Hematologic Tumors and Discovery of Potential Drug Targets

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.

Read the 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:

  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.
Being tested
None intervention
Keywords
SARS-CoV-2 infection, hematologic malignancy, leukemia, interaction, immune function, network analysis
Medical subject headings
COVID-19, Hematologic Neoplasms, Leukemia

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • None interventionOther

    None intervention.

Study groups in NCT05683353
Study groupRoleWhat they receive
Patients with SARS-CoV-2 positive hematologic tumorsPatients with SARS-CoV-2 positive hematologic tumors over 18 years old excluding patients with severe diseases associated with other systems.
Receives: Other: None intervention
People with SARS-CoV-2 positive without underlying diseasesPeople with SARS-CoV-2 positive without underlying diseases over 18 years old excluding people with severe diseases associated with other systems.
Receives: Other: None intervention

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. 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.

    Measured: 1 year

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted13 Jan 2023
  2. Study start14 Dec 2022
  3. Primary completionDec 2027 (estimated)
  4. Study completionDec 2027 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Case-control
Time perspective
Prospective
Enrolment
60 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT05683353
Sponsor's protocol ID
PekingUFH_
Status last verified
Sep 2026
First submitted
4 Jan 2023
Last updated
16 Sep 2026
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No

Publications

  • 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.

    PubMed 35202566
  • 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.

    PubMed 34017137
  • 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.

    PubMed 32413330
  • 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.

    PubMed 33839760
  • 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.

    PubMed 30984872
  • Tang B, Yang X, Tian W, Zhu J, Liu W, Di M, Liu H, Liang Z, Chen Y, Dong Y. Proteomic analysis identifies pathways related to immune dysregulation in patients with hematologic malignancies after COVID-19 infection. Microbiol Spectr. 2026 Aug 4;14(8):e0399625. doi: 10.1128/spectrum.03996-25. Epub 2026 Jul 15.

    PubMed 42454903
  • 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.

    PubMed 38752789

Questions about this trial

What is this clinical trial studying?

An observational study of SARS-CoV-2 Infection and Hematologic Malignancy, run by Peking University First Hospital at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: under way, not looking for participants, as of the sponsor's last update on 16 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Mechanism and Immune Function Analysis of SARS-CoV-2 Infection in Hematologic Tumors (time frame: 1 year). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT05683353, which also lists 7 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Sep 2026.

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