Genetic Phenomena Commons^™

Identifiability And Model Selection Frameworks For Models Of High-Grade Glioma Response To Chemoradiation, Khushi C Hiremath, Kenan Atakishi, Ernesto A B F Lima, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D Shanker, Wasif Talpur, Sara Thrower, Jodi Goldman, Caroline Chung, Thomas E Yankeelov, David A Hormuth Ii

Faculty, Staff and Student Publications

We have developed a family of biology-based mathematical models of high-grade glioma (HGG), capturing the key features of tumour growth and response to chemoradiation. We now seek to quantify the accuracy of parameter estimation and determine, when given a virtual patient cohort, which model was used to generate the tumours. In this way, we systematically test both the parameter and model identifiability. Virtual patients are generated from unique growth parameters whose growth dynamics are determined by the model family. We then assessed the ability to recover model parameters and select the model used to generate the tumour. We then evaluated …

Conformal Predictive Intervals In Survival Analysis: A Resampling Approach, Jing Qin, Jin Piao, Jing Ning, Yu Shen

Faculty, Staff and Student Publications

The distribution-free method of conformal prediction has gained considerable attention in computer science, machine learning, and statistics. Candès et al. extended this method to right-censored survival data, addressing right-censoring complexity by creating a covariate shift setting, extracting a subcohort of subjects with censoring times exceeding a fixed threshold. Their approach only estimates the lower prediction bound for type I censoring, where all subjects have available censoring times regardless of their failure status. In medical applications, we often encounter more general right-censored data, observing only the minimum of failure time and censoring time. Subjects with observed failure times have unavailable censoring …

Ven In Combination With 10-Day Dec In Newly Diagnosed Elderly Or Relapsed/Refractory Acute Myeloid Leukemia, And High-Risk Myelodysplastic Syndrome: Long Term Follow-Up Of A Phase 2 Trial, Mahesh Swaminathan, Courtney D Dinardo, Abhishek Maiti, Naveen Pemmaraju, Maro Ohanian, Navel G Daver, Guillermo Garcia-Manero, Ghayas C Issa, Gautam Borthakur, Farhad Ravandi, Guillermo Montalban-Bravo, Tapan M Kadia, Yesid Alvarado, Elias J Jabbour, Nicholas J Short, William G Wierda, Nitin Jain, Steven M Kornblau, Lucia Masarova, Sherry A Pierce, Wei Qiao, Jing Ning, Hagop Kantarjian, Marina Y Konopleva

Faculty, Staff and Student Publications

No abstract provided.

Differentiation Stage Predicts Radiosensitivity In Mesenchymal-Like Pancreatic Cancer, Tingshi Su, Xinjian Yu, Mojtaba Hoseini-Ghahfarokhi, David B Flint, Scott J Bright, Joana I D S Antunes, David K J Martinus, Mandira Manandhar, Mariam Ben Kacem, Poliana C Marinello, Eurico J G Pereira, Hua-Sheng Chiu, Uwe Titt, David R Grosshans, Jan Schuemann, Henning Willers, Harald Paganetti, Pavel Sumazin, Gabriel O Sawakuchi

Faculty, Staff and Student Publications

Purpose: To derive a genomic classifier to predict radiosensitivity of pancreatic cancer cell lines and patients with pancreatic cancer to allow genomic-guided radiation therapy.

Methods and materials: We collected a comprehensive data set of full clonogenic cell survival curves of 45 pancreatic cancer cell lines irradiated with clinical photon and proton beams. We derived classifiers based on data from human embryonic and fetal pancreas single-cell RNA-sequencing to distinguish between epithelial and mesenchymal cells and to predict pancreas cell-line differentiation stage. Independent testing was done with an embryonic mouse pancreas single-cell RNA-sequencing data set. We then used bulk RNA-seq profiles from …

External Validation Of An Algorithm To Detect Vertebral Level Mislabeling And Autocontouring Errors, Tucker J Netherton, Didier Duprez, Tina Patel, Gizem Cifter, Laurence E Court, Christoph Trauernicht, Ajay Aggarwal

Faculty, Staff and Student Publications

Background and purpose: This work performs external validation of a previously developed vertebral body autocontouring tool and investigates a post-processing method to increase performance to clinically acceptable levels.

Materials and methods: Vertebral bodies within CT scans from two separate institutions (40 from institution A and 41 from institution B) were automatically 1) localized and enumerated, 2) contoured, and 3) screened as a means of quality assurance (QA) for errors. Identification rate, contour acceptability rate, and QA accuracy were calculated to assess the tool's performance. These metrics were compared to those calculated on CTs from the model's original training dataset, and …

Long Term Results Of Venetoclax Combined With Flag-Ida Induction And Consolidation For Newly Diagnosed And Relapsed Or Refractory Acute Myeloid Leukemia, Courtney D Dinardo, Wei-Ying Jen, Koichi Takahashi, Tapan M Kadia, Sanam Loghavi, Naval G Daver, Lianchun Xiao, Patrick K Reville, Ghayas C Issa, Nicholas J Short, Koji Sasaki, Sa A Wang, Jillian K Mullin, Sherry Pierce, Corey Bradley, Gautam Borthakur, Abhishek Maiti, Yesid Alvarado, Naveen Pemmaraju, Alessandra Ferrajoli, Mahesh Swaminathan, Maro Ohanian, Hussein A Abbas, Danielle Hammond, Jan Burger, Fadi Haddad, Guillermo Montalban-Bravo, Kelly Chien, Lucia Masarova, Musa Yilmaz, Nitin Jain, Michael Andreeff, Guillermo Garcia-Manero, Steven Kornblau, Farhad Ravandi, Elias Jabbour, Marina Y Konopleva, Hagop M Kantarjian

Faculty, Staff and Student Publications

Intensive chemotherapy remains the standard for newly diagnosed (ND) acute myeloid leukemia (AML); however, relapse risk remains high. Additionally, most patients with relapsed/refractory (RR) AML have poor outcomes. We report the long-term experience of 138 patients, 77 ND and 61 RR, treated with FLAG-IDA in combination with venetoclax. In the ND cohort, the overall response rate (ORR) was 97%, with a composite complete remission (CRc) rate of 95% and undetectable measurable residual disease (MRD) status by flow cytometry in 90%. The 3-year OS and EFS rates were 66 and 64%, respectively. Outcomes were similar across European LeukemiaNet (ELN) 2022 risk …

Efficacy And Safety Of Denileukin Diftitox-Cxdl, An Improved Purity Formulation Of Denileukin Diftitox, In Patients With Relapsed Or Refractory Cutaneous T-Cell Lymphoma, Francine M Foss, Youn H Kim, H Miles Prince, Oleg E Akilov, Christiane Querfeld, Lucia Seminario-Vidal, David C Fisher, Timothy M Kuzel, Costas K Yannakou, Larisa J Geskin, Tatyana Feldman, Lubomir Sokol, Pamela Blair Allen, Nam Hoang Dang, Fernando Cabanillas, Henry K Wong, Chean Eng Ooi, Dongyuan Xing, Nicholas Sauter, Preeti Singh, Myron Czuczman, Madeleine Duvic

Faculty, Staff and Student Publications

Purpose: Denileukin diftitox (DD)-cxdl is a fusion protein comprising diphtheria toxin fragments A and B and human interleukin-2. This phase III, multicenter, open-label, single-arm registrational trial evaluated the efficacy and safety of DD-cxdl in patients with relapsed/refractory (R/R) cutaneous T-cell lymphoma (CTCL).

Patients and methods: In the main study, which followed a dose-finding lead-in, DD-cxdl was administered intravenously daily (5 days; 9 µg/kg/d once daily) every 21 days for up to eight cycles. Patients in the primary efficacy analysis set (PEAS) were required to have stage IA-IIIB CTCL (mycosis fungoides and/or Sézary syndrome) and at least ≥one previous systemic therapy. …

Evaluation Of A Comprehensive Set Of Normal Tissue Complication Probability Models For Patients With Head And Neck Cancer In An International Cohort, Suzanne P M De Vette, Maria I Van Rijn-Dekker, Lisa Van Den Bosch, Kylie Keijzer, Hendrike Neh, Hung Chu, Yan Li, Mark L Frederiks, Hans Paul Van Der Laan, Jolien Heukelom, Peter Van Luijk, Arjen Van Der Schaaf, Roel J H M Steenbakkers, Nanna M Sijtsema, Katherine A Hutcheson, Clifton D Fuller, Johannes A Langendijk, Amy C Moreno, Lisanne V Van Dijk

Faculty, Staff and Student Publications

Background/purpose: Normal tissue complication probability (NTCP) models can be used to guide radiation therapy (RT) decisions by estimating side-effect risks pretreatment to minimize (late) side-effects. Recently, a comprehensive individual toxicity risk (CITOR) profile of NTCP models addressing common side-effects in head and neck cancer (HNC) patients was developed. This study investigates the generalizability of these models in an international setting, with different treatment approaches and side-effect assessments, promoting their integration into more widespread clinical practice.

Materials/methods: From a prospective registry study, 407 HNC patients were included who were treated with definitive RT with or without systemic therapy between 2015 and …

Cytokine Storms In Covid-19, Hemophagocytic Lymphohistiocytosis, And Car-T Therapy, James P Long, Rishab Prakash, Paul Edelkamp, Mark Knafl, Anath C Lionel, Ranjit Nair, Sairah Ahmed, Paolo Strati, Luis E Malpica Castillo, Ajlan Al-Zaki, Kelly Chien, Dai Chihara, Jason Westin, Fareed Khawaja, Loretta J Nastoupil, Victor Mulanovich, Andrew Futreal, Scott E Woodman, Naval G Daver, Christopher R Flowers, Sattva Neelapu, Joanna-Grace Manzano, Swaminathan P Iyer

Faculty, Staff and Student Publications

Importance: Cytokine storm (CS) is a hyperinflammatory syndrome causing multiorgan dysfunction and high mortality, especially in patients with malignant hematologic neoplasms. Triggers include malignant neoplasm-associated hemophagocytic lymphohistiocytosis (MN-HLH), cytokine release syndrome from chimeric antigen receptor T-cell therapy (CAR-T CRS), and COVID-19, but the underlying mechanisms of inflammation and their impact on outcomes are poorly understood.

Objective: To delineate the inflammatory patterns characterizing different CS etiologies and their association with clinical outcomes.

Design, setting, and participants: This retrospective cohort study was conducted at the MD Anderson Cancer Center in Houston, Texas, between March 1, 2020, and November 20, 2022, using the …

Self-Reported Cognitive Function In Older Breast Cancer Survivors After Chemotherapy Treatment, Rachel Kim, Julia Peña, Kai-Ping Liao, Susan K Peterson, Liang Li, Daria Zorzi, Holly M Holmes, Mariana Chavez-Macgregor, Sharon H Giordano

Faculty, Staff and Student Publications

Purpose: This study evaluated self-reported cognitive function in older breast cancer survivors and its association with prior chemotherapy.

Materials and methods: Breast cancer survivors aged 65-years and older, diagnosed 2012-2013, with local and regional stage disease, were identified through the linked Texas Cancer Registry-Medicare dataset. Survivors completed the Functional Assessment of Cancer Therapy-Cognitive Function (FACT-CogV3) instrument and provided demographic and clinical data. A PCI--sub-score of less than 54 was used to identify cognitive impairment. Linear regression models were used to examine the FACT-CogV3 primary score, and logistic regression models evaluated the PCI--sub-score.

Results: Of 4448 eligible survivors, 1594 (35.8 %) …

Lysyl Hydroxylase 2 Glucosylates Collagen Vi To Drive Lung Cancer Progression, Shike Wang, Houfu Guo, Reo Fukushima, Masahiko Terajima, Min Liu, Guan-Yu Xiao, Lenka Koudelková, Chao Wu, Xin Liu, Jiang Yu, Emma Burris, Jun Xu, Alvise Schiavinato, William K Russell, Mitsuo Yamauchi, Xiaochao Tan, Jonathan M Kurie

Faculty, Staff and Student Publications

Lysyl hydroxylase 2 (LH2) is highly expressed in multiple tumor types and accelerates disease progression by hydroxylating lysine residues on fibrillar collagen telopeptides to generate stable collagen cross links in tumor stroma. Here, we show that a galactosylhydroxylysyl glucosyltransferase (GGT) domain on LH2-modified type-VI collagen (Col6) to promote lung adenocarcinoma (LUAD) growth and metastasis. In tumors generated by LUAD cells lacking LH2 GGT domain activity, stroma was less stiff, and stable types of collagen cross links were reduced. Mass spectrometric analysis of total and glycosylated peptides in parental and GGT-inactive tumor samples identified Col6 chain α3 (Col6a3), a component of …

Immunotherapy Targeting A Leader Sequence Cathepsin G-Derived Peptide, Chunhua Shi, Ze Tian, Jun Yan, Mao Zhang, Pariya Sukhumalchandra, Edward Chang, Guojun Yang, Junping You, Meng Cui, Qing Shi, Celine Kerros, Anne Philips, Na Qiao, Hiroki Torikai, Sathvik Patchametla, Anna Sergeeva, Lisa St John, Helen He, Dmitri Wiederschain, Benjamin H Lee, Geraldine L C Paulus, Dongxing Zha, Jeffrey Molldrem, Gheath Alatrash

Faculty, Staff and Student Publications

Myeloid azurophil granules provide a rich source of intracellular leukemia antigens. Cathepsin G (CG) is a serine protease that has higher expression in acute myeloid leukemia (AML) blasts in comparison to normal myeloid progenitors. Based on the unique biology of HLA-A*0201 (HLA-A2), in which presentation of leader sequence (LS)-derived peptides is favored, we focused on the LS-CG-derived peptide CG1 (FLLPTGAEA). We previously detected CG1/HLA-A2 complexes on the surface of primary HLA-A2+ AML blasts and cell lines, and immunity targeting CG1/HLA-A2 in leukemia patients. T cell receptor (TCR)-mimic (m) antibodies are immunotherapeutic antibodies that target peptide-HLA (pHLA) complexes. Here we report …

Insulin-Like Growth Factor 2 As A Driving Force For Exponential Expansion And Differentiation Of The Neonatal Thymus, Seung Woo Kang, Bryan R Helm, Yu Wang, Shiyun Xiao, Wen Zhang, Anusha Vasudev, Ken S Lau, Qi Liu, Ellen R Richie, Laura P Hale, Nancy R Manley

Faculty, Staff and Student Publications

Like all organs, the thymus grows in size and function rapidly during development, but this growth comes to a halt after birth. However, the molecular mechanisms behind such a transition in the thymus remain obscure. Using single-cell RNA sequencing (scRNA-seq) of the murine thymic stroma, we identified that major transcriptomic changes occur in the endothelium and mesenchyme across the transition to homeostasis. Differentially expressed gene and intercellular network analyses of temporally resolved scRNA-seq data revealed fibroblast-derived insulin-like growth factor 2 (IGF2) as a candidate driving neonatal thymic expansion. We demonstrated that IGF2 activity promotes a cortical thymic epithelial cell-specific proliferation …

A New Cure Model Accounting For Longitudinal Data And Flexible Patterns Of Hazard Ratios Over Time, Can Xie, Xuelin Huang, Ruosha Li, Yu Shen, Nicholas J Short, Kapil N Bhalla

Faculty, Staff and Student Publications

With the advancement of medical treatments, many historically incurable diseases have become curable. An accurate estimation of the cure rates is of great interest. When there are no clear biomarker indicators for cure, the estimation of cure rate is intertwined with and influenced by the specification of hazard functions for uncured patients. Consequently, the commonly used proportional hazards (PH) assumption, when violated, may lead to biased cure rate estimation. Meanwhile, longitudinal biomarker measurements for individual patients are usually available. To accommodate non-PH functions and incorporate individual longitudinal biomarker trajectories, we propose a new joint model for cure, survival, and longitudinal …

Diet And Survival After A Diagnosis Of Ovarian Cancer: A Pooled Analysis From The Ovarian Cancer Association Consortium, Christina M Nagle, Torukiri I Ibiebele, Renhua Na, Elisa V Bandera, Daniel Cramer, Jennifer A Doherty, Graham G Giles, Marc T Goodman, Gillian E Hanley, Holly R Harris, Allan Jensen, Susanne K Kjaer, Alice Lee, Valerie Mcguire, Roger L Milne, Bo Qin, Jean Richardson, Naoko Sasamoto, Joellen M Schildkraut, Weiva Sieh, Kathryn L Terry, Linda Titus, Britton Trabert, Nicolas Wentzensen, Anna H Wu, Andrew Berchuck, Malcolm C Pike, Celeste Leigh Pearce, Penelope M Webb, Multidisciplinary Ovarian Cancer Outcomes Group And Ovarian Cancer Association Consortium

Faculty, Staff and Student Publications

Background: Prognosis after a diagnosis of invasive epithelial ovarian cancer is poor. Some studies have suggested modifiable behaviors, like diet, are associated with survival but the evidence is inconsistent.

Objectives: This study aims to pool data from studies conducted around the world to evaluate the relationships among dietary indices, foods, and nutrients from food sources and survival after a diagnosis of ovarian cancer.

Methods: This analysis from the Multidisciplinary Ovarian Cancer Outcomes Group within the Ovarian Cancer Association Consortium included 13 studies with 7700 individuals with ovarian cancer, who completed food-frequency questionnaires regarding their prediagnosis diet. Adjusted hazard ratios (aHRs) …

Crowd-Sourced Benchmarking Of Single-Sample Tumor Subclonal Reconstruction, Adriana Salcedo, Maxime Tarabichi, Alex Buchanan, Shadrielle M G Espiritu, Hongjiu Zhang, Kaiyi Zhu, Tai-Hsien Ou Yang, Ignaty Leshchiner, Dimitris Anastassiou, Yuanfang Guan, Gun Ho Jang, Mohammed F E Mootor, Kerstin Haase, Amit G Deshwar, William Zou, Imaad Umar, Stefan Dentro, Jeff A Wintersinger, Kami Chiotti, Jonas Demeulemeester, Clemency Jolly, Lesia Sycza, Minjeong Ko, Pcawg Evolution And Heterogeneity Working Group, Smc-Het Participants, David C Wedge, Quaid D Morris, Kyle Ellrott, Peter Van Loo, Paul C Boutros

Faculty, Staff and Student Publications

Subclonal reconstruction algorithms use bulk DNA sequencing data to quantify parameters of tumor evolution, allowing an assessment of how cancers initiate, progress and respond to selective pressures. We launched the ICGC-TCGA (International Cancer Genome Consortium-The Cancer Genome Atlas) DREAM Somatic Mutation Calling Tumor Heterogeneity and Evolution Challenge to benchmark existing subclonal reconstruction algorithms. This 7-year community effort used cloud computing to benchmark 31 subclonal reconstruction algorithms on 51 simulated tumors. Algorithms were scored on seven independent tasks, leading to 12,061 total runs. Algorithm choice influenced performance substantially more than tumor features but purity-adjusted read depth, copy-number state and read mappability …

Concurrent Bone Marrow Acute Undifferentiated Leukemia And Mediastinal T‐Lymphoblastic Lymphoma With Identical Set::Nup214 Fusion And Phf6 And Ezh2 Mutations, Qing Wei, Fatima Z Jelloul, Sa A Wang, Guilin Tang, Shaoying Li, Pei Lin, Sanam Loghavi, Huan-You Wang, L Jeffrey Medeiros, Jie Xu

Faculty, Staff and Student Publications

Acute undifferentiated leukemia (AUL) is a rare hematologic malignancy lacking lineage‐specific markers. Concurrent, clonally related AUL and T‐lymphoblastic lymphoma (T‐LBL) has not been reported previously. Here we describe a patient who was diagnosed with AUL in the bone marrow and T‐LBL in the mediastinum after a thorough immunophenotyping by flow cytometry and immunohistochemistry. Despite their immunophenotypic differences, the AUL and T‐LBL showed identical genetic alterations: SET::NUP214 fusion, PHF6, and EZH2 mutations. The patient achieved and remained in complete remission after chemotherapy and stem cell transplantation. This case underscores the value of comprehensive immunophenotyping and genetic analysis in rare hematologic …

Nicotinic Acetylcholine Receptor Expression In Merkel Cell Carcinoma Is Associated With Clinical And Histopathologic Parameters, Christopher R Cunningham, Yiannis P Dimopoulos, Ian M García-Quiñones, Denái R Milton, Manuel Delgado-Vélez, Woo Cheal Cho, Victor G Prieto, José A Lasalde-Dominicci, Leomar Y Ballester, Phyu P Aung

Faculty, Staff and Student Publications

Background: Merkel cell carcinoma (MCC) is a rare, aggressive cutaneous malignancy with neuroendocrine differentiation. Several molecular pathways have been implicated in MCC development and multiple cell-of-origin candidates have been proposed, including neural crest cells, which express acetylcholine receptors (AChRs). The role of nicotinic acetylcholine receptors (nAChRs) in MCC has not been explored. In this study, we investigated if MCC expresses nAChRs and if nAChR expression correlates with patient characteristics.

Methods: The study included 71 MCC cases diagnosed with sufficient tissue available to perform immunohistochemical analysis. The median follow-up was 29.8 months (range, 2.7-234.1). We performed immunohistochemistry using antibodies against the …

Nicotinic Acetylcholine Receptor Expression In Merkel Cell Carcinoma Is Associated With Clinical And Histopathologic Parameters, Christopher R Cunningham, Yiannis P Dimopoulos, Ian M García-Quiñones, Denái R Milton, Manuel Delgado-Vélez, Woo Cheal Cho, Victor G Prieto, José A Lasalde-Dominicci, Leomar Y Ballester, Phyu P Aung

Faculty, Staff and Student Publications

Background: Merkel cell carcinoma (MCC) is a rare, aggressive cutaneous malignancy with neuroendocrine differentiation. Several molecular pathways have been implicated in MCC development and multiple cell-of-origin candidates have been proposed, including neural crest cells, which express acetylcholine receptors (AChRs). The role of nicotinic acetylcholine receptors (nAChRs) in MCC has not been explored. In this study, we investigated if MCC expresses nAChRs and if nAChR expression correlates with patient characteristics.

Methods: The study included 71 MCC cases diagnosed with sufficient tissue available to perform immunohistochemical analysis. The median follow-up was 29.8 months (range, 2.7-234.1). We performed immunohistochemistry using antibodies against the …

Characterization Of A Time-Resolved, Real-Time Scintillation Dosimetry System For Ultra-High Dose-Rate Radiation Therapy Applications, Alexander Baikalov, Daline Tho, Kevin Liu, Stefan Bartzsch, Sam Beddar, Emil Schüler

Faculty, Staff and Student Publications

Purpose: Scintillation dosimetry has promising qualities for ultra-high-dose-rate (UHDR) radiation therapy (RT), but no system has shown compatibility with mean dose rates (DR¯) above 100 Gy/s and doses per pulse (Dp) exceeding 1.5 Gy typical of UHDR (FLASH)-RT. The aim of this study was to characterize a novel scintillation dosimetry system with the potential of accommodating UHDRs.

Methods and materials: We undertook a thorough dosimetric characterization of the system on an UHDR electron beamline. The system's response as a function of dose, DR¯, Dp, and the pulse dose-rate (DRp) was investigated, as was the system's dose sensitivity (signal per unit …

Lesion Classification By Model-Based Feature Extraction: A Differential Affine Invariant Model Of Soft Tissue Elasticity In Ct Images, Weiguo Cao, Marc J Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F Abbasi, Perry J Pickhardt

Faculty, Staff and Student Publications

The elasticity of soft tissues has been widely considered a characteristic property for differentiation of healthy and lesions and, therefore, motivated the development of several elasticity imaging modalities, for example, ultrasound elastography, magnetic resonance elastography, and optical coherence elastography to directly measure the tissue elasticity. This paper proposes an alternative approach of modeling the elasticity for prior knowledge-based extraction of tissue elastic characteristic features for machine learning (ML) lesion classification using computed tomography (CT) imaging modality. The model describes a dynamic non-rigid (or elastic) soft tissue deformation in differential manifold to mimic the tissues’ elasticity under wave fluctuation in vivo. …

Vitamin D-Related Genetic Variants And Prostate Cancer Risk In Black Men, Tracy M Layne, Joseph H Rothstein, Xiaoyu Song, Shaneda Warren Andersen, Emma K T Benn, Weiva Sieh, Robert J Klein

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Background: The relationship between vitamin D and prostate cancer has primarily been characterized among White men. Black men, however, have higher prostate cancer incidence and mortality rates, chronically low circulating vitamin D levels, and ancestry-specific genetic variants in vitamin D-related genes. Here, we examine critical genes in the vitamin D pathway and prostate cancer risk in Black men.

Methods: We assessed a total of 73 candidate variants in genes (namely GC, CYP27A1, CYP27B1, CYP24A1, VDR, and RXRA) including functional variants previously associated with prostate cancer and circulating 25(OHD) in White men. Associations with prostate cancer risk were examined using genome-wide …

Daratumumab/Lenalidomide/Dexamethasone In Transplant-Ineligible Newly Diagnosed Myeloma: Maia Long-Term Outcomes, Thierry Facon, Philippe Moreau, Katja Weisel, Hartmut Goldschmidt, Saad Z Usmani, Ajai Chari, Torben Plesner, Robert Z Orlowski, Nizar Bahlis, Supratik Basu, Cyrille Hulin, Hang Quach, Michael O'Dwyer, Aurore Perrot, Caroline Jacquet, Christopher P Venner, Noopur Raje, Mourad Tiab, Margaret Macro, Laurent Frenzel, Xavier Leleu, Gordon Cook, George Wang, Huiling Pei, Maria Krevvata, Robin Carson, Fredrik Borgsten, Shaji K Kumar

Faculty, Staff and Student Publications

In the MAIA study, daratumumab plus lenalidomide and dexamethasone (D-Rd) improved progression-free survival (PFS) and overall survival (OS) versus lenalidomide and dexamethasone (Rd) alone in transplant-ineligible patients with newly diagnosed multiple myeloma (NDMM). We report updated efficacy and safety from MAIA (median follow-up, 64.5 months), including a subgroup analysis by patient age (< 70, ≥70 to < 75, ≥75, and ≥80 years). Overall, 737 transplant-ineligible patients with NDMM were randomized 1:1 to D-Rd or Rd. The primary endpoint, PFS, was improved with D-Rd versus Rd (median, 61.9 vs 34.4 months; hazard ratio [HR], 0.55; 95% confidence interval [CI], 0.45-0.67; P <  0.0001). Median OS was not reached in the D-Rd group versus 65.5 months in the Rd group (HR, 0.66; 95% CI, 0.53-0.83; P = 0.0003); estimated 60-month OS rates were 66.6% and 53.6%, respectively. D-Rd achieved higher rates of complete response or better (≥CR; 51.1% vs 30.1%), minimal residual disease (MRD) negativity (32.1% vs 11.1%), and sustained MRD negativity (≥18 months: 16.8% vs 3.3%) versus Rd (all P <  0.0001). D-Rd demonstrated clinically meaningful efficacy benefits across age groups. No new safety concerns were observed. Updated results (median follow-up, >5 years) continue to support frontline use of D-Rd in transplant-ineligible patients with NDMM.

Il13rα2-Targeting Antibodies For Immuno-Pet In Solid Malignancies, Leah Gajecki, Irina V Lebedeva, Yu-Rou Liao, Daisy Ambriz, Lukas M Carter, Melina Kumpf, Samantha Lovibond, Justin S Hachey, Maya S Graham, Michael Postow, Jason S Lewis, David P Andrew, Manuel Baca, Heiko Schöder, Steven M Larson, Darren R Veach, Simone Krebs

Faculty, Staff and Student Publications

Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor frequently expressed in solid malignancies, such as glioblastoma and melanoma, with limited expression in healthy tissue, rendering it an ideal target for noninvasive and specific tumor delineation. In this study, we report the development of 5 novel IL13Rα2-targeted human monoclonal antibodies (mAbs) KLG-1-5; in subsequent in vitro and in vivo studies after radiolabeling with 89Zr, we evaluate their performance to identify a lead candidate.

Methods: Five novel human anti-IL13Rα2 mAbs KLG-1-5 were developed and in vitro binding properties and target specificity assessed. In vivo 89Zr-immuno-PET using KLG-1-5 was conducted in a …

Role Of Peripheral Amyloid-Β Aggregates In Alzheimer's Disease: Mechanistic, Diagnostic, And Therapeutic Implications, Nazaret Gamez, Rodrigo Morales

Faculty, Staff and Student Publications

No abstract provided.

In Vivo Antibody Labeling Route And Fluorophore Dictate Labeling Efficiency, Sensitivity, And Longevity, Natalie B Hagan, Charles Inaku, Nikesh Kunder, Tayleur White, Thierry Iraguha, Anna Meyer, Kristen E Pauken, Jason M Schenkel

Faculty, Staff and Student Publications

Leukocytes migrate through the blood and extravasate into organs to surveil the host for infection or cancer. Recently, we demonstrated that intravenous (IV) anti-CD45.2 antibody labeling allowed for precise tracking of leukocyte migration. However, the narrow labeling window can make this approach challenging for tracking rare migration events. Here, we show that altering antibody administration route and fluorophore can significantly extend the antibody active labeling time. We found that while both IV and intraperitoneal (IP) anti-CD45.2 antibody labeled circulating leukocytes after injection, they had different kinetic properties that impacted labeling time and intensity. Quantification of circulating antibody revealed that while …

Circulating Short-Chain And Branched Short-Chain Fatty Acids And The Risk Of Incident Type 2 Diabetes: Findings From The 4c Study, Shuangyuan Wang, Hong Lin, Xiaojing Jia, Yiting Lin, Chunyan Hu, Mian Li, Yu Xu, Min Xu, Jie Zheng, Xinjie Zhao, Yanli Li, Lulu Chen, Tianshu Zeng, Ruying Hu, Zhen Ye, Lixin Shi, Qing Su, Yuhong Chen, Xuefeng Yu, Li Yan, Tiange Wang, Zhiyun Zhao, Guijun Qin, Qin Wan, Gang Chen, Meng Dai, Di Zhang, Bihan Qiu, Xiaoyan Zhu, Ruixin Liu, Xiao Wang, Xulei Tang, Zhengnan Gao, Feixia Shen, Xuejiang Gu, Zuojie Luo, Yingfen Qin, Li Chen, Xinguo Hou, Yanan Huo, Qiang Li, Guixia Wang, Yinfei Zhang, Chao Liu, Youmin Wang, Shengli Wu, Tao Yang, Huacong Deng, Jiajun Zhao, Yiming Mu, Guowang Xu, Shenghan Lai, Donghui Li, Guang Ning, Weiqing Wang, Yufang Bi, Jieli Lu

Faculty, Staff and Student Publications

Previous studies suggested that fecal short-chain fatty acids (SCFAs) and branched short-chain fatty acids (BCFAs) are associated with glucose regulation. However, the potential relationship between circulating SCFAs and BCFAs with incident diabetes risk in both men and women remains unidentified in prospective cohort studies. In this study, we examined a panel of nine serum SCFAs and BCFAs in 3414 subjects with incident diabetes, and matched normoglycemic controls from the China Cardiometabolic Disease and Cancer Cohort study. In fully adjusted conditional logistic regression models, total SCFAs, total BCFAs, and isovaleric acid were significantly associated with incident type 2 diabetes mellitus (T2DM) …

Staged Screening Identifies People With Biomarkers Related To Neuronal Alpha-Synuclein Disease, Ethan G Brown, Lana M Chahine, Andrew Siderowf, Caroline Gochanour, Ryan Kurth, Micah J Marshall, Chelsea Caspell-Garcia, Michael C Brumm, Craig E Stanley, Monica Korell, Bridget Mcmahon, Maggie Kuhl, Kimberly Fabrizio, Laura Heathers, Luis Concha-Marambio, Claudio Soto, Sohini Chowdhury, Christopher S Coffey, Tatiana M Foroud, Tanya Simuni, Kenneth Marek, Caroline M Tanner

Faculty, Staff and Student Publications

Objective: Remote identification of individuals with severe hyposmia may enable scalable recruitment of participants with underlying alpha-synuclein aggregation. We evaluated the performance of a staged screening paradigm using remote smell testing to enrich for abnormal dopamine transporter single-photon emission computed tomography imaging (DAT-SPECT) and alpha-synuclein aggregation.

Methods: The Parkinson's Progression Markers Initiative (PPMI) recruited participants for the prodromal cohort who were 60-years and older without a Parkinson's disease diagnosis. Participants were invited to complete a University of Pennsylvania Smell Identification Test (UPSIT) independently through an online portal. Hyposmic participants were invited to complete DAT-SPECT, which determined eligibility for enrollment in …

Uncertainty-Guided Pancreatic Tumor Auto-Segmentation With Tversky Ensemble, Cenji Yu, Skylar S Gay, Aashish C Gupta, Rachael M Martin-Paulpeter, Ethan B Ludmir, Yao Zhao, Jack Duryea, Xinru Chen, Carlos E Cardenas, Jinzhong Yang, Albert C Koong, Tucker J Netherton, Dong Joo Rhee, Laurence E Court

Faculty, Staff and Student Publications

Background and purpose: Pancreatic gross tumor volume (GTV) delineation is challenging due to their variable morphology and uncertain ground truth. Previous deep learning-based auto-segmentation methods have struggled to handle tasks with uncertain ground truth and have not accommodated stylistic customizations. We aim to develop a human-in-the-loop pancreatic GTV segmentation tool using Tversky ensembles by leveraging uncertainty estimation techniques.

Material and methods: In this study, we utilized a total of 282 patients from the pancreas task of the Medical Segmentation Decathlon. Thirty patients were randomly selected to form an independent test set, while the remaining 252 patients were divided into an …

Manual Therapy For Fibrosis-Related Late Effect Dysphagia In Head And Neck Cancer Survivors: The Mantle Nonrandomized Clinical Trial, Holly Mcmillan, Carla L Warneke, Sheila Buoy, Christine Porsche, Kiara Savage, Stephen Y Lai, Clifton D Fuller, Katherine A Hutcheson

Faculty, Staff and Student Publications

Importance: Late radiation-associated dysphagia (RAD) after head and neck cancer (HNC) treatment is challenging and commonly treatment refractory, with fibrosis stiffening connective tissues and compressing peripheral nerve tracts, contributing to diminished strength and possibly denervation of swallowing muscles. Manual therapy (MT), while common for cancer-related pain and other indications, remains largely unstudied for fibrosis-related late RAD.

Objective: To determine the feasibility and safety of MT, estimate effect size and durability of MT for associated improvements in cervical range of motion (CROM), and examine functional outcomes after MT in survivors of HNC with fibrosis-related late RAD.

Design, setting, and participants: This …