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NCT Number: NCT05636605

Analysis of the Microenvironment of Lung Cancer and Exploration of the Mechanism of Resistance to Immunotherapy

The investigators plan to conduct a multiomics analysis(such as, Genomics, proteomics, single cell RNA sequencing, space transcriptomics)of tumor tissue and blood, aiming at analyzing tumor heterogeneity, mapping the microenvironment map of lung cancer and exploring the mechanism of sensitivity and resistance to anti-PD1/PD-L1 antibodies.

Recruiting

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Key information

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Observational

Primary location

About this study

Lung cancer is a highly heterogeneous disease. Cancer cells and cells within the tumor microenvironment together determine disease progression, as well as response to or escape from treatment. Tumor ecosystems are comprised of cancer cells, infiltrating immune cells, stromal cells, and other cell types together with noncellular tissue components, which interact and collectively determine disease progression as well as response to therapy. It is well known that cancer patients elicit very individualized responses to different treatments, demanding better characterization of the whole tumor ecosystem beyond currently applied clinical typing of somatic mutations in cancer cells.

Immune checkpoint blockers (ICBs) have revolutionized the management of patients with lung cancer. Blocking the interaction between the programmed cell death protein 1 (PD-1) receptor and its primary ligand (PD-L1) has demonstrated remarkable anticancer activity, and anti-PD-1/PD-L1 drugs have been approved both as single agents or in combination with cytotoxic chemotherapy. However, most patients receiving anti-PD-1/PD-L1 monoclonal antibodies do not derive benefit. Hence, there is a crucial need to identify reliable predictive biomarkers of the response to anti-PD-1/PD-L1 agents to develop precision medicine for NSCLC immunotherapy as well as to identify novel mechanisms underlying resistance to ICBs.

To map the cell type-specific landscape of cancer cells and their tumor microenvironment in lung cancer, the investigators plan to conduct a multiomics analysis(such as, Genomics, proteomics, single cell RNA sequencing, space transcriptomics)of tumor tissue and blood, aiming at analyzing tumor heterogeneity, mapping the microenvironment map of lung cancer and exploring the mechanism of sensitivity and resistance to anti-PD1/PD-L1 antibodies.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Histopathology or hemology diagnostics of lung cancer
  • Patients have never received any antineoplastic therapy

Exclusion criteria

  • Within 5 years or at the same time, there are other active malignancies
  • Currently participating in interventional clinical research treatment, or received other research drugs or used research devices within 4 weeks before the first administration
  • Active autoimmune diseases requiring systemic treatment (such as the use of disease relieving drugs, glucocorticoids or immunosuppressants) occurred within 2 years before the first administration
  • The study was receiving systemic glucocorticoid treatment (excluding local glucocorticoids by nasal spray, inhalation or other means) or any other form of immunosuppressive therapy within 7 days before the first administration; Note: It is allowed to use glucocorticoid with physiological dose (prednisone ≤ 10mg/day or equivalent)
  • Known history of allogeneic organ transplantation and allogeneic hematopoietic stem cell transplantation

Treatment and study plan

Multiomics analysis

Diagnostic Test

Genome, proteomics, single cell RNA sequencing, and space transcriptome sequencing,etc

Primary outcomes

  1. objective response rate

    Time frame: three years

    Refers to the proportion of patients whose tumor shrinkage reaches a certain amount and remains for a certain period of time, including CR + PR cases

  2. Major Pathologic Response

    Time frame: three-four months

    <10% viable tumor in resected lung and lymph nodes

  3. progression-free survival

    Time frame: three years

    Patients with oncological diseases have a period of time from the start of treatment to the observation of disease progression or death due to any cause

Study contacts

Contact information is provided by the study sponsor or research team.

Jiangnan Zhao, PhD

CONTACT

[email protected]

18267098035

Kai Wang, PhD

CONTACT

[email protected]

13957158572

Sponsors and collaborators

Lead sponsor

The Fourth Affiliated Hospital of Zhejiang University School of Medicine

Other

Collaborators

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

Registry information

Important dates

Study start
2018
Primary completion
2023
Study completion
2028
First posted
Dec 5, 2022
Registry last updated
Dec 20, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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