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

Обзор

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.

Подробное описание

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.

Вмешательства

• Диагностический тест Multiomics analysis
  Genome, proteomics, single cell RNA sequencing, and space transcriptome sequencing，etc

Первичные конечные точки

• objective response rate [Срок оценки: three years]
• Major Pathologic Response [Срок оценки: three-four months]
• progression-free survival [Срок оценки: three years]

Критерии участия

Критерии включения

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

Критерии исключения

• 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

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Модель наблюдения

Когортное

Центры проведения

Китай · 1 центр

• The Fourth Affiliated Hospital of Zhejiang University — Yiwu

Идентификаторы

NCT: NCT05636605 · K2022179

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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