Publications by authors named "I K Puzanov"

Solid tumors vary by the immunogenic potential of the tumor microenvironment (TME) and the likelihood of response to immunotherapy. The emerging literature has identified key immune cell populations that significantly impact immune activation or suppression within the TME. This study investigated candidate T-cell populations and their differential infiltration within different tumor types as estimated from mRNA co-expression levels of the corresponding cellular markers.

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Article Synopsis
  • The study investigates how resistance to PD-L1 inhibitors affects interferon (IFN) signaling and influences secretory changes in tumor cells.
  • It identifies a specific tumor secretome (PTIS) induced by anti-PD-L1 treatment, which can suppress T cell activation and reduce the effectiveness of immune response against tumors.
  • The research emphasizes the need for in vivo resistance models to better understand treatment failures, as the tumor's adaptive secretory changes regulated by type I IFNs play a significant role in evading immune attacks.
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Introduction: Racial and ethnic disparities in the presentation and outcomes of lung cancer are widely known. To evaluate potential factors contributing to these observations, we measured systemic immune parameters in Black and White patients with lung cancer.

Methods: Patients scheduled to receive cancer immunotherapy were enrolled in a multi-institutional prospective biospecimen collection registry.

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Purpose: Minoritized racial/ethnic groups are historically under-represented in cancer clinical trials, which may be exacerbated in recent trials on immune checkpoint inhibitors (ICIs). We examined the representation and reporting of the racial/ethnic composition of participants in clinical trials on ICIs.

Methods: We examined English full-text trials on ICIs published from 2007 to 2022.

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Background: Cancer initiation, progression, and immune evasion depend on the tumor microenvironment (TME). Thus, understanding the TME immune architecture is essential for understanding tumor metastasis and therapy response. This study aimed to create an immune cell states (CSs) atlas using bulk RNA-seq data enriched by eco-type analyses to resolve the complex immune architectures in the TME.

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