Biomedical Informatics Commons^™

Whole-Exome Sequencing Uncovers The Genetic Complexity Of Bicuspid Aortic Valve In Families With Early-Onset Complications, Sara Mansoorshahi, Anji T Yetman, Malenka M Bissell, Yuli Y Kim, Hector I Michelena, Julie De Backer, Laura Muiño Mosquera, Dawn S Hui, Anthony Caffarelli, Maria G Andreassi, Ilenia Foffa, Dongchuan Guo, Rodolfo Citro, Margot De Marco, Justin T Tretter, Shaine A Morris, Simon C Body, Jessica X Chong, Michael J Bamshad, Dianna M Milewicz, Siddharth K Prakash

Faculty, Staff and Student Publications

Bicuspid aortic valve (BAV) is the most common congenital heart lesion with an estimated population prevalence of 1%. We hypothesize that specific gene variants predispose to early-onset complications of BAV (EBAV). We analyzed whole-exome sequences (WESs) to identify rare coding variants that contribute to BAV disease in 215 EBAV-affected families. Predicted damaging variants in candidate genes with moderate or strong supportive evidence to cause developmental cardiac phenotypes were present in 107 EBAV-affected families (50% of total), including genes that cause BAV (9%) or heritable thoracic aortic disease (HTAD, 19%). After appropriate filtration, we also identified 129 variants in 54 candidate …

Likelihood Adaptively Incorporated External Aggregate Information With Uncertainty For Survival Data, Ziqi Chen, Yu Shen, Jing Qin, Jing Ning

Faculty, Staff and Student Publications

Population-based cancer registry databases are critical resources to bridge the information gap that results from a lack of sufficient statistical power from primary cohort data with small to moderate sample size. Although comprehensive data associated with tumor biomarkers often remain either unavailable or inconsistently measured in these registry databases, aggregate survival information sourced from these repositories has been well documented and publicly accessible. An appealing option is to integrate the aggregate survival information from the registry data with the primary cohort to enhance the evaluation of treatment impacts or prediction of survival outcomes across distinct tumor subtypes. Nevertheless, for rare …

The Biological Significance Of Tumor Grade, Age, Enhancement, And Extent Of Resection In Idh-Mutant Gliomas: How Should They Inform Treatment Decisions In The Era Of Idh Inhibitors?, Martin J Van Den Bent, Pim J French, Daniel Brat, Joerg C Tonn, Mehdi Touat, Benjamin M Ellingson, Robert J Young, Johan Pallud, Andreas Von Deimling, Felix Sahm, Dominique Figarella Branger, Raymond Y Huang, Michael Weller, Ingo K Mellinghoff, Tim F Cloughsey, Jason T Huse, Kenneth Aldape, Guido Reifenberger, Gilbert Youssef, Philipp Karschnia, Houtan Noushmehr, Katherine B Peters, Francois Ducray, Matthias Preusser, Patrick Y Wen

Faculty, Staff and Student Publications

The 2016 and 2021 World Health Organization 2021 Classification of central nervous system tumors have resulted in a major improvement in the classification of isocitrate dehydrogenase (IDH)-mutant gliomas. With more effective treatments many patients experience prolonged survival. However, treatment guidelines are often still based on information from historical series comprising both patients with IDH wild-type and IDH-mutant tumors. They provide recommendations for radiotherapy and chemotherapy for so-called high-risk patients, usually based on residual tumor after surgery and age over 40. More up-to-date studies give a better insight into clinical, radiological, and molecular factors associated with the outcome of patients with …

The Cochlear Dose And The Age At Radiotherapy Predict Severe Hearing Loss After Passive Scattering Proton Therapy And Cisplatin In Children With Medulloblastoma, Mohammad H Abu-Arja, Austin L Brown, Jack M Su, M Fatih Okcu, Holly B Lindsay, Susan L Mcgovern, Mary Frances Mcaleer, David R Grosshans, Murali M Chintagumpala, Arnold C Paulino

Faculty, Staff and Student Publications

Background: Hearing loss (HL) is associated with worse neurocognitive outcomes among patients with medulloblastoma. We aimed to identify risk factors associated with severe HL and to evaluate the generalizability of a published HL calculator among patients treated with passive scattering proton therapy (PSPT) and cisplatin.

Methods: We identified patients aged 3-21 years who were treated at our centers between 2007 and 2022. Audiograms were graded using the International Society of Pediatric Oncology (SIOP) Boston scale. Time to grades 3-4 HL was evaluated using Kaplan-Meier and multivariable Cox models to estimate hazard ratios and 95% confidence intervals (CI).

Results: Seventy-nine patients …

Identification Of A Single-Dose, Low-Flip-Angle-Based Cbv Threshold For Fractional Tumor Burden Mapping In Recurrent Glioblastoma, Aliya Anil, Ashley M Stokes, John P Karis, Laura C Bell, Jennifer Eschbacher, Kristofer Jennings, Melissa A Prah, Leland S Hu, Jerrold L Boxerman, Kathleen M Schmainda, C Chad Quarles

Faculty, Staff and Student Publications

Background and purpose: DSC-MR imaging can be used to generate fractional tumor burden (FTB) maps via application of relative CBV thresholds to spatially differentiate glioblastoma recurrence from posttreatment radiation effects (PTRE). Image-localized histopathology was previously used to validate FTB maps derived from a reference DSC-MR imaging protocol by using preload, a moderate flip angle (MFA, 60°), and postprocessing leakage correction. Recently, a DSC-MR imaging protocol with a low flip angle (LFA, 30°) with no preload was shown to provide leakage-corrected relative CBV (rCBV) equivalent to the reference protocol. This study aimed to identify the rCBV thresholds for the LFA protocol …

Synergic Activity Of Fgfr2 And Mek Inhibitors In The Treatment Of Fgfr2-Amplified Cancers Of Unknown Primary, Andrea Cavazzoni, Irene Salamon, Claudia Fumarola, Giulia Gallerani, Noemi Laprovitera, Francesco Gelsomino, Mattia Riefolo, Karim Rihawi, Elisa Porcellini, Tania Rossi, Martina Mazzeschi, Maria Naddeo, Salvatore Serravalle, Elisabetta Broseghini, Federico Agostinis, Olivier Deas, Roberta Roncarati, Giorgio Durante, Ilaria Pace, Mattia Lauriola, Ingrid Garajova, George A Calin, Massimiliano Bonafè, Antonia D'Errico, Pier Giorgio Petronini, Stefano Cairo, Andrea Ardizzoni, Gabriele Sales, Manuela Ferracin

Faculty, Staff and Student Publications

Patients with cancer of unknown primary (CUP) carry the double burden of an aggressive disease and reduced access to therapies. Experimental models are pivotal for CUP biology investigation and drug testing. We derived two CUP cell lines (CUP#55 and #96) and corresponding patient-derived xenografts (PDXs), from ascites tumor cells. CUP cell lines and PDXs underwent histological, immune-phenotypical, molecular, and genomic characterization confirming the features of the original tumor. The tissue-of-origin prediction was obtained from the tumor microRNA expression profile and confirmed by single-cell transcriptomics. Genomic testing and fluorescence in situ hybridization analysis identified FGFR2 gene amplification in both models, in …

Synergic Activity Of Fgfr2 And Mek Inhibitors In The Treatment Of Fgfr2-Amplified Cancers Of Unknown Primary, Andrea Cavazzoni, Irene Salamon, Claudia Fumarola, Giulia Gallerani, Noemi Laprovitera, Francesco Gelsomino, Mattia Riefolo, Karim Rihawi, Elisa Porcellini, Tania Rossi, Martina Mazzeschi, Maria Naddeo, Salvatore Serravalle, Elisabetta Broseghini, Federico Agostinis, Olivier Deas, Roberta Roncarati, Giorgio Durante, Ilaria Pace, Mattia Lauriola, Ingrid Garajova, George A Calin, Massimiliano Bonafè, Antonia D'Errico, Pier Giorgio Petronini, Stefano Cairo, Andrea Ardizzoni, Gabriele Sales, Manuela Ferracin

Faculty, Staff and Student Publications

Patients with cancer of unknown primary (CUP) carry the double burden of an aggressive disease and reduced access to therapies. Experimental models are pivotal for CUP biology investigation and drug testing. We derived two CUP cell lines (CUP#55 and #96) and corresponding patient-derived xenografts (PDXs), from ascites tumor cells. CUP cell lines and PDXs underwent histological, immune-phenotypical, molecular, and genomic characterization confirming the features of the original tumor. The tissue-of-origin prediction was obtained from the tumor microRNA expression profile and confirmed by single-cell transcriptomics. Genomic testing and fluorescence in situ hybridization analysis identified FGFR2 gene amplification in both models, in …

Calibrating Tumor Growth And Invasion Parameters With Spectral Spatial Analysis Of Cancer Biopsy Tissues, Stefano Pasetto, Michael Montejo, Mohammad U Zahid, Marilin Rosa, Robert Gatenby, Pirmin Schlicke, Roberto Diaz, Heiko Enderling

Faculty, Staff and Student Publications

The reaction-diffusion equation is widely used in mathematical models of cancer. The calibration of model parameters based on limited clinical data is critical to using reaction-diffusion equation simulations for reliable predictions on a per-patient basis. Here, we focus on cell-level data as routinely available from tissue biopsies used for clinical cancer diagnosis. We analyze the spatial architecture in biopsy tissues stained with multiplex immunofluorescence. We derive a two-point correlation function and the corresponding spatial power spectral distribution. We show that this data-deduced power spectral distribution can fit the power spectrum of the solution of reaction-diffusion equations that can then identify …

Clinical Outcome-Guided Deep Temporal Clustering For Disease Progression Subtyping, Dulin Wang, Xiaotian Ma, Paul E Schulz, Xiaoqian Jiang, Yejin Kim

Faculty, Staff and Student Publications

Objective: Complex diseases exhibit heterogeneous progression patterns, necessitating effective capture and clustering of longitudinal changes to identify disease subtypes for personalized treatments. However, existing studies often fail to design clustering-specific representations or neglect clinical outcomes, thereby limiting the interpretability and clinical utility.

Method: We design a unified framework for subtyping longitudinal progressive diseases. We focus on effectively integrating all data from disease progressions and improving patient representation for downstream clustering. Specifically, we propose a clinical Outcome-Guided Deep Temporal Clustering (OG-DTC) that generates representations informed by clustering and clinical outcomes. A GRU-based seq2seq architecture captures the temporal dynamics, and the model …

Sex Differences In Metabolic Adaptation In Infants With Cyanotic Congenital Heart Disease, Tina O Findley, Ana Carolina Palei, Kyung Serk Cho, Zhongming Zhao, Caleb Shi, Gouri Mahajan, Antonio Francesco Corno, Jorge Salazar, Louise Mccullough

Faculty, Staff and Student Publications

BACKGROUND: Female infants with congenital heart disease (CHD) face significantly higher postoperative mortality rates after adjusting for cardiac complexity. Sex differences in metabolic adaptation to cardiac stressors may be an early contributor to cardiac dysfunction. In adult diseases, hypoxic/ischemic cardiomyocytes undergo a cardioprotective metabolic shift from oxidative phosphorylation to glycolysis which appears to be regulated in a sexually dimorphic manner. We hypothesize sex differences in cardiac metabolism are present in cyanotic CHD and detectable as early as the infant period.

METHODS: RNA sequencing was performed on blood samples (cyanotic CHD cases, n = 11; controls, n = 11) and analyzed …

Mr-Linac-Guided Stereotactic Radiotherapy For Ct-Indiscernible Intravascular Renal Cell Carcinoma Tumours, Mihir D Shanker, Zhiqian Henry Yu, Jinzhong Yang, Surena Matin, Matthew T Campbell, Pavlos Msaouel, Nizar Tannir, Surendra Prajapati, Yao Ding, Belinda Lee, Angela Sobremonte, Chad Tang

Faculty, Staff and Student Publications

Inferior vena cava tumour thrombus (IVC‐TT) is a life‐threatening complication of advanced renal cell carcinoma (RCC) occurring in 10%–25% of patients with RCC with one third of patients having concurrent distant metastatic disease. ¹ , ² Surgical resection in the form of radical nephrectomy and caval thrombectomy is the established option for obtaining local control of the disease and is associated with long‐term oncologic control; however, only 50% of patients are operative candidates at time of diagnosis. ³ , ⁴ Untreated RCC IVC‐TT has a poor natural history, with a median survival of 5 months with a 1‐year disease‐specific survival …

Physical Exercise-Related Manifestations Of Long Covid: A Systematic Review And Meta-Analysis, Chen Zheng, Jun-Jie Chen, Zi-Han Dai, Ke-Wen Wan, Feng-Hua Sun, Jun-Hao Huang, Xiang-Ke Chen

Faculty, Staff and Student Publications

OBJECTIVE: This study aims to systematically assess physical exercise-related symptoms of post-acute sequelae of SARS-CoV-2 infection (PASC or long COVID) in coronavirus disease 2019 (COVID-19) survivors.

METHODS: Eight databases were systematically searched on March 03, 2024. Original studies that compared physical exercise-related parameters measured by exercise testing between COVID-19 survivors who recovered from SARS-CoV-2 infection over 3 months and non-COVID-19 controls were included. A random-effects model was utilized to determine the mean differences (MDs) or standardized MDs in the meta-analysis.

RESULTS: A total of 40 studies with 6241 COVID-19 survivors were included. The 6-min walk test, maximal oxygen consumption (VO …

Medical Students’ Self-Perceived Knowledge And Clinical Comfort With Genetics In Pakistan, Maheen Arshad, Angela Trepanier, S Shahrukh Hashmi, Rizwan Naeem, Saqib Mehmood, Myla Ashfaq

Faculty, Staff and Student Publications

Pakistan has a high rate of genetic disorders and neonatal mortality concurrent with noted lack of genetic counselors and geneticists. To meet the needs of the patient population, the responsibility of providing clinical genetic services falls on general and specialty physicians. However, their education regarding these essential services is not standardized in medical school curricula nor has it ever been evaluated. The purpose of this work is to describe the self-perceived knowledge, clinical comfort, and perspectives of Pakistani medical students toward their medical genetics' education. A web-based survey was distributed electronically to medical schools around the country. The survey comprised …

Pre-Diagnosis Tea And Coffee Consumption And Survival After A Diagnosis Of Ovarian Cancer: Results From The Ovarian Cancer Association Consortium, Christina M Nagle, Torukiri I Ibiebele, 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 W Lee, Roger L Milne, Bo Qin, Jean Richardson, Naoko Sasamoto, Weiva Sieh, Kathryn L Terry, Linda Titus, Britton Trabert, Nicolas Wentzensen, Anna H Wu, Andrew Berchuck, Malcolm Pike, Celeste Leigh Pearce, Penelope M Webb

Faculty, Staff and Student Publications

BACKGROUND: Tea and coffee are the most frequently consumed beverages in the world. Green tea in particular contains compounds with potential anti-cancer effects, but its association with survival after ovarian cancer is uncertain.

METHODS: We investigated the associations between tea and coffee consumption before diagnosis and survival using data from 10 studies in the Ovarian Cancer Association Consortium. Data on tea (green, black, herbal), coffee and caffeine intake were available for up to 5724 women. We used Cox proportional hazards regression to estimate adjusted hazard ratios (aHR) and 95% confidence intervals (CI).

RESULTS: Compared with women who did not drink …

Molecular Architecture And Functional Dynamics Of The Pre-Incision Complex In Nucleotide Excision Repair, Jina Yu, Chunli Yan, Tanmoy Paul, Lucas Brewer, Susan E Tsutakawa, Chi-Lin Tsai, Samir M Hamdan, John A Tainer, Ivaylo Ivanov

Faculty, Staff and Student Publications

Nucleotide excision repair (NER) is vital for genome integrity. Yet, our understanding of the complex NER protein machinery remains incomplete. Combining cryo-EM and XL-MS data with AlphaFold2 predictions, we build an integrative model of the NER pre-incision complex(PInC). Here TFIIH serves as a molecular ruler, defining the DNA bubble size and precisely positioning the XPG and XPF nucleases for incision. Using simulations and graph theoretical analyses, we unveil PInC's assembly, global motions, and partitioning into dynamic communities. Remarkably, XPG caps XPD's DNA-binding groove and bridges both junctions of the DNA bubble, suggesting a novel coordination mechanism of PInC's dual incision. …

Superior Antitumor Immune Response Achieved With Proton Over Photon Immunoradiotherapy Is Amplified By The Nanoradioenhancer Nbtxr3, Yun Hu, Sébastien Paris, Narayan Sahoo, Qi Wang, Qianxia Wang, Hampartsoum B Barsoumian, Ailing Huang, Jordan Da Silva, Célia Bienassis, Claudia S Kettlun Leyton, Tiffany A Voss, Fatemeh Masrorpour, Thomas Riad, Carola Leuschner, Nahum Puebla-Osorio, Saumil Gandhi, Quynh-Nhu Nguyen, Jing Wang, Maria Angelica Cortez, James W Welsh

Faculty, Staff and Student Publications

Recent findings suggest that immunoradiotherapy (IRT), combining photon radiotherapy (XRT) or proton radiotherapy (PRT) with immune checkpoint blockade, can enhance systemic tumor control. However, the comparative efficacy of XRT and PRT in IRT remains understudied. To address this, we compared outcomes between XRT + αPD1 and PRT + αPD1 in murine αPD1-resistant lung cancer (344SQR). We also assessed the impact of the nanoparticle radioenhancer NBTXR3 on both XRT + αPD1 and PRT + αPD1 for tumor control and examined the tumor immune microenvironment using single-cell RNA sequencing (scRNAseq). Additionally, mice cured by NBTXR3 + PRT + αPD1 were rechallenged with …

Preventive Treatment With A Cd73 Small Molecule Inhibitor Enhances Immune Surveillance In K-Ras Mutant Pancreatic Intraepithelial Neoplasia, Lincoln N Strickland, Wendao Liu, Usama Hussein, Nicolette Mardik, Xian Chen, Tingting Mills, Lana A Vornik, Michelle I Savage, Shizuko Sei, John Clifford, Holger K Eltzschig, Powel H Brown, Zhongming Zhao, Florencia Mcallister, Jennifer M Bailey-Lundberg

Faculty, Staff and Student Publications

Immunoprevention is an emerging consideration for solid tumors, including pancreatic ductal adenocarcinoma (PDAC). We and others have shown that Kras mutations in genetic models of spontaneous pancreatic intraepithelial neoplasia (PanIN), which is a precursor to PDAC, results in CD73 expression in the neoplastic epithelium and some populations of infiltrating immune cells, including macrophages and CD8 T cells. CD73 is an ecto-enzyme that converts extracellular adenosine monophosphate to adenosine, a critical immune inhibitory molecule in PDAC. We hypothesized inhibition of CD73 would reduce the incidence of PanIN formation and alter the immune microenvironment. To test our hypothesis, we used the KrasG12D; …

Dcis Knowledge Of Women Choosing Between Active Surveillance And Surgery For Low-Risk Dcis, E G Engelhardt, R S J M Schmitz, M A Gerritsma, C M T Sondermeijer, E Verschuur, J H E Houtzager, R Griffioen, N Bijker, R M Mann, V Retèl, F H Van Duijnhoven, J Wesseling, E M A Bleiker

Faculty, Staff and Student Publications

BACKGROUND: Ductal carcinoma in situ (DCIS) can progress to invasive breast cancer (IBC), but often never will. As we cannot predict accurately which DCIS-lesions will or will not progress to IBC, almost all women with DCIS undergo breast-conserving surgery supplemented with radiotherapy, or even mastectomy. In some countries, endocrine treatment is prescribed as well. This implies many women with non-progressive DCIS undergo overtreatment. To reduce this, the LORD patient preference trial (LORD-PPT) tests whether mammographic active surveillance (AS) is safe by giving women with low-risk DCIS a choice between treatment and AS. For this, sufficient knowledge about DCIS is crucial. …

Genomic Biomarkers To Predict Response To Atezolizumab Plus Bevacizumab Immunotherapy In Hepatocellular Carcinoma: Insights From The Imbrave150 Trial, Sun Young Yim, Sung Hwan Lee, Seung-Woo Baek, Bohwa Sohn, Yun Seong Jeong, Sang-Hee Kang, Kena Park, Hyewon Park, Sunyoung S Lee, Ahmed O Kaseb, Young Nyun Park, Sun-Hee Leem, Michael A Curran, Ji Hoon Kim, Ju-Seog Lee

Faculty, Staff and Student Publications

Background/aims: Combination immunotherapy, exemplified by atezolizumab plus bevacizumab, has become the standard of care for inoperable hepatocellular carcinoma (HCC). However, the lack of predictive biomarkers and limited understanding of response mechanisms remain a challenge.

Methods: Using data from the IMbrave150plus cohort, we applied an immune signature score (ISS) predictor to stratify HCC patients treated with atezolizumab plus bevacizumab or with sorafenib alone into potential high and low response groups. By applying multiple statistical approaches including a Bayesian covariate prediction algorithm, we refined the signature to 10 key genes (ISS10) for clinical use while maintaining similar predictive power to the full …

Feasibility Of Quantitative Relaxometry For Prostate Target Localization And Response Assessment In Magnetic Resonance-Guided Online Adaptive Stereotactic Body Radiotherapy, Ergys Subashi, Eve Locastro, Sarah Burleson, Aditya Apte, Michael Zelefsky, Neelam Tyagi

Faculty, Staff and Student Publications

Purpose: Multiparametric magnetic resonance imaging (MRI) is known to provide predictors for malignancy and treatment outcome. The inclusion of these datasets in workflows for online adaptive planning remains under investigation. We demonstrate the feasibility of longitudinal relaxometry in online MR-guided adaptive stereotactic body radiotherapy (SBRT) to the prostate and dominant intra-prostatic lesion (DIL).

Methods: Fifty patients with intermediate-risk prostate cancer were included in the study. The clinical target volume (CTV) was defined as the prostate gland plus 1 cm of seminal vesicles. The gross tumor volume (GTV) was defined as the DIL identified on multiparametric MRI. Online adaptive radiotherapy was …

Small-Molecule Ccr4 Antagonists In Cutaneous T-Cell Lymphoma, José S Enriquez, Xiaohong Wang, Loka Reddy Velatooru, Wei Han, Pedram Bijani, Xiao Ni

Faculty, Staff and Student Publications

Mycosis fungoides (MF) and Sézary syndrome (SS) are two most common types of cutaneous T-cell lymphoma (CTCL). Despite advances in understanding the pathogenesis of MF and SS, effective treatments remain limited. CC chemokine receptor-4 (CCR4) is highly expressed on CTCL cells and serves as a great therapeutic target. Mogamulizumab, an FDA-approved anti-CCR4 antibody, has shown efficacy in treating MF/SS; however, its side effects have raised concerns, underscoring the need for more effective and less toxic CCR4-targeted therapies. Although small-molecule CCR4 antagonists have been studied in other diseases involving CCR4⁺ Th2 cells and regulatory T cells, their effects in CTCL …

Evaluating Dynamic And Predictive Discrimination For Recurrent Event Models: Use Of A Time-Dependent C-Index, Jian Wang, Xinyang Jiang, Jing Ning

Faculty, Staff and Student Publications

Interest in analyzing recurrent event data has increased over the past few decades. One essential aspect of a risk prediction model for recurrent event data is to accurately distinguish individuals with different risks of developing a recurrent event. Although the concordance index (C-index) effectively evaluates the overall discriminative ability of a regression model for recurrent event data, a local measure is also desirable to capture dynamic performance of the regression model over time. Therefore, in this study, we propose a time-dependent C-index measure for inferring the model's discriminative ability locally. We formulated the C-index as a function of time using …

Mhc Hammer Reveals Genetic And Non-Genetic Hla Disruption In Cancer Evolution, Clare Puttick, Thomas P Jones, Michelle M Leung, Felipe Galvez-Cancino, Jiali Liu, Manuel Varas-Godoy, Andrew Rowan, Oriol Pich, Carlos Martinez-Ruiz, Robert Bentham, Krijn K Dijkstra, James R M Black, Rachel Rosenthal, Nnennaya Kanu, Kevin Litchfield, Roberto Salgado, David A Moore, Peter Van Loo, Mariam Jamal-Hanjani, Sergio A Quezada, Tracerx Consortium, Charles Swanton, Nicholas Mcgranahan

Faculty, Staff and Student Publications

Disruption of the class I human leukocyte antigen (HLA) molecules has important implications for immune evasion and tumor evolution. We developed major histocompatibility complex loss of heterozygosity (LOH), allele-specific mutation and measurement of expression and repression (MHC Hammer). We identified extensive variability in HLA allelic expression and pervasive HLA alternative splicing in normal lung and breast tissue. In lung TRACERx and lung and breast TCGA cohorts, 61% of lung adenocarcinoma (LUAD), 76% of lung squamous cell carcinoma (LUSC) and 35% of estrogen receptor-positive (ER+) cancers harbored class I HLA transcriptional repression, while HLA tumor-enriched alternative splicing occurred in 31%, 11% …

Biomarker Trajectory For Earlier Detection Of Lung Cancer, Ehsan Irajizad, Johannes F Fahrmann, Iakovos Toumazis, Jody Vykoukal, Jennifer B Dennison, Yu Shen, Kim-Anh Do, Edwin J Ostrin, Ziding Feng, Samir Hanash

Faculty, Staff and Student Publications

Background: To determine whether an algorithm based on repeated measurements of a panel of four circulating protein biomarkers (4 MP) for lung cancer risk assessment results in improved performance over a single time measurement.

Methods: We conducted data analysis of the 4 MP consisting of the precursor form of surfactant protein B, cancer antigen 125, carcinoembryonic antigen, and cytokeratin-19 fragment in pre-diagnostic sera from 2483 ever-smoker participants (389 cases and 2094 randomly selected non-cases) in the Prostate, Lung, Colorectal, Ovarian (PLCO) Study who had at least two sequential blood collections over 6 years. A parametric empirical Bayes (PEB) algorithm, which …

Meta-Analysis Of Censored Adverse Events, Xinyue Qi, Shouhao Zhou, Christine B Peterson, Yucai Wang, Xinying Fang, Michael L Wang, Chan Shen

Faculty, Staff and Student Publications

Meta-analysis is a powerful tool for assessing drug safety by combining treatment-related toxicological findings across multiple studies, as clinical trials are typically underpowered for detecting adverse drug effects. However, incomplete reporting of adverse events (AEs) in published clinical studies is frequently encountered, especially if the observed number of AEs is below a pre-specified study-dependent threshold. Ignoring the censored AE information, often found in lower frequency, can significantly bias the estimated incidence rate of AEs. Despite its importance, this prevalent issue in meta-analysis has received little statistical or analytic attention in the literature. To address this challenge, we propose a Bayesian …

Cross-Silo Federated Learning With Record-Level Personalized Differential Privacy, Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng

Faculty, Staff and Student Publications

Federated learning (FL) enhanced by differential privacy has emerged as a popular approach to better safeguard the privacy of client-side data by protecting clients’ contributions during the training process. Existing solutions typically assume a uniform privacy budget for all records and provide one-size-fits-all solutions that may not be adequate to meet each record’s privacy requirement. In this paper, we explore the uncharted territory of cross-silo FL with record-level personalized differential privacy. We devise a novel framework named rPDP-FL, employing a two-stage hybrid sampling scheme with both uniform client-level sampling and non-uniform record-level sampling to accommodate varying privacy requirements.

A …

Enhanced Privacy Bound For Shuffle Model With Personalized Privacy, Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen

Faculty, Staff and Student Publications

The shuffle model of Differential Privacy (DP) is an enhanced privacy protocol which significantly amplifies the central DP guarantee by anonymizing and shuffling the local randomized data. Yet, deriving a tight privacy bound is challenging due to its complicated randomization protocol. While most existing works focused on uniform local privacy settings, this work focuses on a more practical personalized privacy setting. To bound the privacy after shuffling, we need to capture the probability of each user generating clones of the neighboring data points and quantify the indistinguishability between two distributions of the number of clones on neighboring datasets. Existing works …

Precurious: How Innocent Pre-Trained Language Models Turn Into Privacy Traps, Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong

Faculty, Staff and Student Publications

The pre-training and fine-tuning paradigm has demonstrated its effectiveness and has become the standard approach for tailoring language models to various tasks. Currently, community-based platforms offer easy access to various pre-trained models, as anyone can publish without strict validation processes. However, a released pre-trained model can be a privacy trap for fine-tuning datasets if it is carefully designed. In this work, we propose PreCurious framework to reveal the new attack surface where the attacker releases the pre-trained model and gets a black-box access to the final fine-tuned model. PreCurious aims to escalate the general privacy risk of both membership inference …

Neoadjuvant And Adjuvant Treatments For Early Stage Resectable Nsclc: Consensus Recommendations From The International Association For The Study Of Lung Cancer, Jonathan D Spicer, Tina Cascone, Murry W Wynes, Myung-Ju Ahn, Sanja Dacic, Enriqueta Felip, Patrick M Forde, Kristin A Higgins, Mark G Kris, Tetsuya Mitsudomi, Mariano Provencio, Suresh Senan, Benjamin J Solomon, Ming Sound Tsao, Masahiro Tsuboi, Heather A Wakelee, Yi-Long Wu, James Chih-Hsin Yang, Caicun Zhou, David H Harpole, Karen L Kelly

Faculty, Staff and Student Publications

Advances in the multidisciplinary care of early stage resectable NSCLC (rNSCLC) are emerging at an unprecedented pace. Numerous phase 3 trials produced results that have transformed patient outcomes for the better, yet these findings also require important modifications to the patient treatment journey trajectory and reorganization of care pathways. Perhaps, most notably, the need for multispecialty collaboration for this patient population has never been greater. These rapid advances have inevitably left us with important gaps in knowledge for which definitive answers will only become available in several years. To this end, the International Association for the Study of Lung Cancer …

Mutational Characteristics And Clinical Outcomes For Lung Adenocarcinoma With Egfr Germline Mutations, Kelsey Pan, Jennifer Owens, Yasir Elamin, Charles Lu, Mark Routbort, Jianjun Zhang, Frank Fossella, Marcelo V Negrao, Mehmet Altan, Jenny Pozadzides, Ferdinandos Skoulidis, Anne Tsao, Tina Cascone, John V Heymach, Edwin Ostrin, Xiuning Le

Faculty, Staff and Student Publications

Introduction: Germline mutations driving lung cancer have been infrequently reported in the literature, with EGFR T790M being a known germline mutation identified in 1% of NSCLCs. Typically, a somatic EGFR mutation is acquired to develop lung adenocarcinoma. Osimertinib has become a standard-of-care treatment for EGFR T790M-positive lung cancer.

Methods: We perform a retrospective analysis through the Lung Cancer Moon Shot GEMINI database at the University of Texas MD Anderson Cancer Center. Of the patients that underwent cell-free DNA analysis, germline mutations were identified by those with high variant allelic fraction approximating 50%, followed by further confirmation on genetic testing.

Results: …