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Joseph M Curry

Publications and source records attributed to Joseph M Curry.

2 recordsLinked to original sources

Accuracy of frozen section for HPV-Associated squamous cell carcinoma of unknown primary.

INTRODUCTION: Current guidelines for the management of metastatic squamous cell carcinoma of unknown primary (SCCUP) recommend submission of suspicious primary sites for frozen section analysis (FSA). This study aims to investigate the diagnostic accuracy of FSA for identification of HPV-associated SCCUP. METHODS: A retrospective cohort study of patients with biopsy-proven p16-positive SCCUP who underwent diagnostic operation at two tertiary care institutions was performed. Sensitivity, specificity, PPV, and NPV of diagnostic FSA were assessed. RESULTS: 77 patients were included in analysis. 66 patients underwent definitive TORS (diagnostic TORS operation with subsequent neck dissection after identification of the occult primary tumor), 7 patients underwent diagnostic TORS (TORS to identify occult primary tumor, no neck dissection), and 4 patients underwent direct laryngoscopy and biopsy only. Primary tumors were identified in 63 patients (82%) with a mean tumor size of 1.1 cm. There was no significant difference in size between patients whose tumor was identified on FSA (mean 1.1 cm) and on permanent only (mean 0.9 cm) (p = 0.26). The sensitivity, specificity, PPV, and NPV of FSA for SCCUP was 86%, 100%, 100%, and 86%, respectively. Diagnostic frozen specimens included 52 direct laryngoscopy biopsies and 69 TORS excisions. In the biopsies, sensitivity was 100% and NPV was 100%, whereas in the TORS-excised specimens, sensitivity was 77% and NPV was 77%. CONCLUSIONS: In this case series of 77 patients with SCCUP, the sensitivity and NPV of FSA for identification of the primary tumor was over 85%. FSA is valuable during diagnostic operation for SCCUP.

Humans

Tumor microenvironment governs the prognostic landscape of immunotherapy for head and neck squamous cell carcinoma: A computational model-guided analysis.

Immune checkpoint inhibition (ICI) has emerged as a critical treatment strategy for squamous cell carcinoma of the head and neck (HNSCC) that halts the immune escape of the tumor cells. Increasing evidence suggests that the onset, progression, and lack of/no response of HNSCC to ICI are emergent properties arising from the interactions within the tumor microenvironment (TME). Deciphering how the diversity of cellular and molecular interactions leads to distinct HNSCC TME subtypes subsequently governing the ICI response remains largely unexplored. We developed a cellular-molecular model of the HNSCC TME that incorporates multiple cell types, cellular states, and transitions, and molecularly mediated paracrine interactions. Simulation across the selected parameter space of the HNSCC TME network shows that distinct mechanistic balances within the TME give rise to the five clinically observed TME subtypes such as immune/non-fibrotic, immune/fibrotic, fibrotic only and immune/fibrotic desert. We predict that the cancer-associated fibroblast, beyond a critical proliferation rate, drastically worsens the ICI response by hampering the accessibility of the CD8 + killer T cells to the tumor cells. Our analysis reveals that while an Interleukin-2 (IL-2) + ICI combination therapy may improve response in the immune desert scenario, Osteopontin (OPN) and Leukemia Inhibition Factor (LIF) knockout with ICI yields the best response in a fibro-dominated scenario. Further, we predict Interleukin-8 (IL-8), and lactate can serve as crucial biomarkers for ICI-resistant HNSCC phenotypes. Overall, we provide an integrated quantitative framework that explains a wide range of TME-mediated resistance mechanisms for HNSCC and predicts TME subtype-specific targets that can lead to an improved ICI outcome.

Tumor Microenvironment