Publications by authors named "B U Shanthappa"

Background: Treatments after anti-PD-1 therapy for patients with recurrent, metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) are limited. Blocking phosphatidylinositol 3-kinase (PI3K) signaling may lead to tumor immunomodulation and enhanced taxane sensitivity. This phase 2 trial evaluated dual, selective PI3Kδ/γ inhibition with docetaxel in patients with anti-PD-1 refractory R/M HNSCC.

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Article Synopsis
  • Invasive melanoma is a dangerous skin cancer, and in 2021, many people (101,110 cases) were expected to be diagnosed with it.
  • Researchers studied patient samples to understand gene fusions (changes in genes) in melanoma and found that 2.6% of cases had these fusions, which could be important for treatment.
  • The study shows that these gene fusions activate a specific pathway (MAPK) that could help doctors target therapy better, meaning they might have new ways to treat patients with this type of cancer.
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Drug-induced resistance, or tolerance, is an emerging yet poorly understood failure of anticancer therapy. The interplay between drug-tolerant cancer cells and innate immunity within the tumor, the consequence on tumor growth, and therapeutic strategies to address these challenges remain undescribed. Here, we elucidate the role of taxane-induced resistance on natural killer (NK) cell tumor immunity in triple-negative breast cancer (TNBC) and the design of spatiotemporally controlled nanomedicines, which boost therapeutic efficacy and invigorate "disabled" NK cells.

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Ex vivo human tumor models have emerged as promising, yet complex tools to study cancer immunotherapy response dynamics. Here, we present a strategy that integrates empirical data from an ex vivo human system with computational models to interpret the response dynamics of a clinically prescribed PD-1 inhibitor, nivolumab, in head and neck squamous cell carcinoma (HNSCC) biopsies (N = 50). Using biological assays, we show that drug-induced variance stratifies samples by T helper type 1 (Th1)-related pathways.

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Predicting clinical response to anticancer drugs remains a major challenge in cancer treatment. Emerging reports indicate that the tumour microenvironment and heterogeneity can limit the predictive power of current biomarker-guided strategies for chemotherapy. Here we report the engineering of personalized tumour ecosystems that contextually conserve the tumour heterogeneity, and phenocopy the tumour microenvironment using tumour explants maintained in defined tumour grade-matched matrix support and autologous patient serum.

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