A Novel Association Between Human Papillomavirus and Thyroid Eye Disease.

Context: Thyroid eye disease (TED) is an autoimmune disease characterized by orbital inflammation and tissue remodeling. TED pathogenesis is poorly understood but is linked to autoantibodies to thyroid-stimulating hormone receptor (TSHR) and insulin-like growth factor 1 receptor (IGF-1R). Objective: To explore the potential involvement of viral infections in TED pathogenesis. Methods: Using NCBI BLAST, we compared human TSHR and IGF-1R proteins to various viral proteomes, including Papillomaviridae , Paramyxoviridae , Herpesviridae , Enterovirus , Polyomaviridae , and Rhabdoviridae . Enzyme-linked immunoassays (ELISAs) were performed on orbital adipose tissue samples from 22 TED patients and controls to quantify antiviral antibody titers. Demographics and clinical data were reviewed. Results: Homology analysis revealed conserved motifs between TSHR and IGF-1R with several viral proteins, particularly the human papillomavirus 18 (HPV18) L1 capsid protein. Basic demographic and clinical information between the cohorts were comparable. ELISAs showed statistically significant differences in the average HPV18 L1 IgG normalized optical density levels among tissues of control ( M = 0.9387, SD = 0.3548), chronic TED ( M = 2.305, SD = 1.064), and active acute TED ( M = 4.087, SD = 2.034) patients. These elevated HPV18 L1 IgG titers did not statistically correlate with TSH, T4, or TSI levels, and were elevated in TED patients irrespective of treatment with teprotumumab, indicating a direct immunological response to HPV. Conclusions: This study presents the first molecular evidence linking HPV and TED, highlighting molecular mimicry between HPV capsid protein and key autoimmunity targets in TED. This suggests an immunological link contributing to TED's pathogenesis, opening new avenues for understanding and managing the disease.

Rank aggregation of independent genetic screen results highlights new strategies for adoptive cellular transfer therapy of cancer.

Efficient intratumoral infiltration of adoptively transferred cells is a significant barrier to effectively treating solid tumors with adoptive cellular transfer (ACT) therapies. Our recent forward genetic, whole-genome screen identified T cell-intrinsic gene candidates that may improve tumor infiltration of T cells. Here, results are combined with five independent genetic screens using rank aggregation to improve rigor. This resulted in a combined total of 1,523 candidate genes - including 1,464 genes not currently being evaluated as therapeutic targets - that may improve tumor infiltration of T cells. Gene set enrichment analysis of a published human dataset shows that these gene candidates are differentially expressed in tumor infiltrating compared to circulating T cells, supporting translational potential. Importantly, adoptive transfer of T cells overexpressing gain-of-function candidates (AAK1ΔN125, SPRR1B, and EHHADH) into tumor-bearing mice resulted in increased T cell infiltration into tumors. These novel gene candidates may be considered as potential therapeutic candidates that can aid adoptive cellular therapy in improving T cell infiltration into solid tumors.

Antibody-Based Therapeutics for the Treatment of Renal Cell Carcinoma: Challenges and Opportunities.

Renal cell carcinoma (RCC) is among the top 10 most common cancers in both men and women with an estimated 75 000 cases each year in the US. Over the last decade, the therapeutic landscape for patients with metastatic RCC has significantly evolved, with immunotherapy emerging as the new front-line therapy. Despite significant improvement in toxicity profile and survival outcomes, key concerns such as patient selection, treatment sequencing, and intrinsic and acquired resistance remain unresolved. Emerging options such as antibody-based therapeutics (eg, anti-CD70, anti-CA9, and anti-ENPP3) are being explored in clinical trials for patients with cancer resistant or refractory to current immunotherapies. Despite positive results for hematological cancers, breast cancer, and more recently bladder cancer, most antibody-based therapies failed to improve the outcomes in patients with advanced RCC. This underscores the need to understand the underlying causes of failed responses to this treatment class, which will ultimately support the rational design of more effective and tolerable treatments. In this review, we summarize the evolving landscape of RCC therapeutics and describe recent clinical trials with emerging antibody-based therapeutics. We also describe the challenges that need to be overcome for the successful creation of therapeutic antibodies for treating RCC.

A fast and efficient method to compensate for brain shift for tumor resection therapies measured between preoperative and postoperative tomograms.

In this paper, an efficient paradigm is presented to correct for brain shift during tumor resection therapies. For this study, high resolution preoperative (pre-op) and postoperative (post-op) MR images were acquired for eight in vivo patients, and surface/subsurface shift was identified by manual identification of homologous points between the pre-op and immediate post-op tomograms. Cortical surface deformation data were then used to drive an inverse problem framework. The manually identified subsurface deformations served as a comparison toward validation. The proposed framework recaptured 85% of the mean subsurface shift. This translated to a subsurface shift error of 0.4 +/- 0.4 mm for a measured shift of 3.1 +/- 0.6 mm. The patient's pre-op tomograms were also deformed volumetrically using displacements predicted by the model. Results presented allow a preliminary evaluation of correction both quantitatively and visually. While intraoperative (intra-op) MR imaging data would be optimal, the extent of shift measured from pre- to post-op MR was comparable to clinical conditions. This study demonstrates the accuracy of the proposed framework in predicting full-volume displacements from sparse shift measurements. It also shows that the proposed framework can be extended and used to update pre-op images on a time scale that is compatible with surgery.