High resolution spatial transcriptomics and machine learning to identify mechanisms responsible for the immunosuppressive tumor microenvironment in HIV+ lung cancer patients (Immuno/Microenvironment)

NIH RePORTER · NIH · P30 · $249,999 · view on reporter.nih.gov ↗

Abstract

Project Summary After accounting for potential confounders such as age, sex, and smoking, HIV has been identified as an independent risk factor for lung cancer. Lung cancer (adenocarcinoma) emerging as the primary cause of cancer-related deaths in individuals with HIV. HIV+ individuals diagnosed with lung cancer typically exhibit limited survival and disease-free survival, and poor quality of life with additional clinical complications associated with chem/radio therapies. Therefore, research endeavors to discover mechanisms responsible for worse prognosis of lung cancer in HIV+ individuals, will significantly impact patient lives. A common belief is that HIV patients have damage specifically to immune cells in the microenvironments. Within the TME from HIV+ tumors, there is a comparable level of infiltration of lymphocytes and tumor-associated macrophages (TAMs) compared to non-HIV tumors. A comprehensive examination of data reveals distinctive features of a modified tumor microenvironment (TME) in HIV-positive lung cancer patients, exhibiting compromised anti-tumor responses. We aim to identify the cellular, transcriptomic, and mechanistic changes in tumor microenvironment (TME) cells of the HIV+ lung cancer (LC) affected individuals. We have collected unique set of non-HIV and HIV+ LC samples from patients and their normal lung tissue samples. These samples are distributed for males and females, less than 60 and more than 60 years of age, and matched for comorbidities, which helps us understand mechanistic differences in the transcriptome of TME cells in relation with HIV+ and non-HIV status. Our lab published a seminal article with Nature, which demonstrated that competitive and non-cell autonomous interactions between the cancer cells and the various cell types in the TME is a key process which defines oncogenic fate during early and late stages of cancer, including the metastatic probabilities. Our high impact demonstrates the role of competitive and non-cell autonomous interactions on cellular fate of tumor microenvironment cells in lung cancer. And there is evidence of competitive interactions and Flower Win and Lose system is found in the TME of LC samples. We propose key role of non- cell autonomous and competitive interactions in the formation of non-responsive and immunosuppressive TME in HIV+ LC patients. Our aims are to perform ultra-high resolution spatial transcriptomics on non-HIV and HIV+ lung cancer samples with age <60 and >60 years. And to use ultra-high resolution spatial transcriptomics to decipher competitive and non-cell autonomous mechanisms which regulate the fate of the tumor microenvironment and cancer cells in HIV+ lung cancer samples.

Key facts

NIH application ID
11048045
Project number
3P30CA016059-42S4
Recipient
VIRGINIA COMMONWEALTH UNIVERSITY
Principal Investigator
Robert A. Winn
Activity code
P30
Funding institute
NIH
Fiscal year
2024
Award amount
$249,999
Award type
3
Project period
1995-12-01 → 2028-04-30