Gencel‐Augusto, Jovanka Minaya, Natasha J Johnson, Daniel E Grandis, Jennifer R
Despite ongoing efforts to increase the number of women in science, technology, engineering, and mathematics (STEM) and in medicine, Hispanic women remain severely underrepresented in these fields. This disparity not only hinders scientific innovation and the delivery of culturally competent medical care but also perpetuates a systemic exclusion. R...
Meher, Niranjan Bidkar, Anil P Wadhwa, Anju Bobba, Kondapa Naidu Dhrona, Suchi Dasari, Chandrashekhar Mu, Changhua Fong, Cyril OY Cámara, Juan A Ali, Umama
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The enhanced permeability and retention (EPR) effect controls passive nanodrug uptake in tumors and may provide a high tumor payload with prolonged retention for cancer treatment. However, EPR-mediated tumor uptake and distribution vary by cancer phenotype. Thus, we hypothesized that a companion PET imaging surrogate may benefit EPR-mediated therap...
O’Donnell, Edmond Muñoz, Maria Davis, Ryan Bergonio, Jessica Randall, R Lor Tepper, Clifford Carr-Ascher, Janai
High-grade soft tissue sarcomas (STS) are a heterogeneous and aggressive set of cancers. Failure to respond anthracycline chemotherapy, standard first-line treatment, is associated with poor outcomes. We investigated the contribution of STS cancer stem cells (STS-CSCs) to doxorubicin resistance. We identified a positive correlation between CSC abun...
Oshima, Sonoko Yao, Jingwen Bobholz, Samuel Nagaraj, Raksha Raymond, Catalina Teraishi, Ashley Guenther, Anna-Marie Kim, Asher Sanvito, Francesco Cho, Nicholas S
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Aim: A radio-pathomic machine learning (ML) model has been developed to estimate tumor cell density, cytoplasm density (Cyt) and extracellular fluid density (ECF) from multimodal MR images and autopsy pathology. In this multicenter study, we implemented this model to test its ability to predict survival in patients with recurrent glioblastoma (rGBM...
Sears, Timothy J Pagadala, Meghana S Castro, Andrea Lee, Ko-han Kong, JungHo Tanaka, Kairi Lippman, Scott M Zanetti, Maurizio Carter, Hannah
Immune checkpoint blockade (ICB) has revolutionized cancer treatment; however, the mechanisms determining patient response remain poorly understood. Here, we used machine learning to predict ICB response from germline and somatic biomarkers and interpreted the learned model to uncover putative mechanisms driving superior outcomes. Patients with hig...
Tao, Ye Chen, Zhongping
Background: Effective drug delivery of nanomedicines to targeted sites remains challenging. Given that hypobaric hypoxia and hyperbaric oxygen exposure can significantly change pharmacokinetics of drugs, it is interesting to determine whether they can regulate tissue distribution of nanomedicine, especially in tumor, for enhanced cancer therapy. Re...
Nee, Ashley Haslam, Alyson Prasad, Vinay
ObjectiveTo evaluate the factors associated with Medicare spending on newly approved anticancer drugs in the US from 2012 through 2021.Patient and methodsUsing a cross-sectional analysis, we searched US FDA new oncology drug approvals (2012-2021). We analyzed clinical attributes and institutional factors influencing the annual cost of new anticance...
Morales, Pavel Brown, Abbigale J Sangaré, Lamba Omar Yang, Sheng Kuihon, Simon VNP Chen, Baoyu Saeij, Jeroen PJ
The obligate intracellular parasite Toxoplasma gondii causes life-threatening toxoplasmosis to immunocompromised individuals. The pathogenesis of Toxoplasma relies on its swift dissemination to the central nervous system through a 'Trojan Horse' mechanism using infected leukocytes as carriers. Previous work found TgWIP, a protein secreted from Toxo...
Drayson, Olivia GG Melemenidis, Stavros Katila, Nikita Viswanathan, Vignesh Kramár, Enikö A Zhang, Richard Kim, Rachel Ru, Ning Petit, Benoit Dutt, Suparna
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Background and purposeUltra-high dose-rate radiotherapy (FLASH) has been shown to mitigate normal tissue toxicities associated with conventional dose rate radiotherapy (CONV) without compromising tumor killing in preclinical models. A prominent challenge in preclinical radiation research, including FLASH, is validating both the physical dosimetry a...
Milam, Joel Kim, Yoonji Roth, Michael Freyer, David R
Lifelong, guideline-based monitoring for late effects is recommended for childhood cancer survivors (CCS). We examined rates of receiving surveillance tests among at-risk young adult CCS in a population-based study (n = 253; 50% Hispanic/Latino; mean post-treatment interval 14.5 years, range: 5-22). Adherence rates were 36.1%, 31.9%, and 36.4% amon...