Life Sciences Commons^™

Defining The Optimal Radiation-Induced Lymphopenia Metric To Discern Its Survival Impact In Esophageal Cancer, Pim J J Damen, Max Peters, Brian Hobbs, Yiqing Chen, Uwe Titt, Radhe Mohan, Peter S N Van Rossum

Faculty, Staff and Student Publications

Purpose: A detrimental association between radiation-induced lymphopenia (RIL) and oncologic outcomes in patients with esophageal cancer has been established. However, an optimal metric for RIL remains undefined but is important for the application of this knowledge in clinical decision-making and trial designs. The aim of this study was to find the optimal RIL metric discerning survival.

Methods and materials: Patients with esophageal cancer treated with concurrent chemoradiation therapy (CRT; 2004-2022) were selected. Studied metrics included absolute lymphocyte counts (ALCs) and neutrophil counts-and calculated derivatives-at baseline and during CRT. Multivariable Cox regression models for progression-free survival (PFS) and overall survival (OS) …

Air Embolism After Percutaneous Lung Biopsy Or Ablation: A Report Of Six Cases, Rebecca Choi, Haylie Kieu-Mi Phan, Varshana Gurusamy, Rahul A Sheth, Bruno C Odisio, Alda L Tam

Faculty, Staff and Student Publications

Systemic air embolism is a rare but potentially life-threatening complication of percutaneous lung biopsy and ablation. This report describes six patients (four male, two female) with air embolism following CT-guided lung interventions at two institutions between January 2021 and March 2024. Air embolisms were identified in locations such as the pulmonary vein, left ventricle, and coronary arteries, with clinical presentations ranging from asymptomatic to life-threatening events. Prompt intervention, including oxygen therapy, patient repositioning, and intravenous administration of epinephrine in cases of cardiac arrest, resulted in favorable outcomes. This series highlights the importance of early detection of systemic air embolism and …

Impact Of Comorbidities On The Mortality Benefits Of Lung Cancer Screening: A Post-Hoc Analysis Of The Plco And Nlst Trials, Sebastien Gendarme, Ehsan Irajizad, James P Long, Johannes F Fahrmann, Jennifer B Dennison, Seyyed Mahmood Ghasemi, Rongzhang Dou, Robert J Volk, Rafael Meza, Iakovos Toumazis, Florence Canoui-Poitrine, Samir M Hanash, Edwin J Ostrin

Faculty, Staff and Student Publications

Objectives: To evaluate how comorbidities affect mortality benefits of lung cancer screening (LCS) with low-dose computed tomography.

Methods: We developed a comorbidity index (Prostate, Lung, Colorectal, and Ovarian comorbidity index [PLCO-ci]) using LCS-eligible participants' data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) trial (training set) and the National Lung Screening Trial (NLST) (validation set). PLCO-ci predicts five-year non-lung cancer (LC) mortality using a regularized Cox model; with performance evaluated using the area under the receiver operating characteristics curve. In NLST, LC mortality (per original publication) was compared between low-dose computed tomography and chest radiograph arms across the PLCO-ci quintile …

Network-Based Clustering Unveils Interconnected Landscapes Of Genomic And Clinical Features Across Myeloid Malignancies, Fritz Bayer, Marco Roncador, Giusi Moffa, Kiyomi Morita, Koichi Takahashi, Jack Kuipers

Faculty, Staff and Student Publications

Myeloid malignancies exhibit considerable heterogeneity with overlapping clinical and genetic features among subtypes. We present a data-driven approach that integrates mutational features and clinical covariates at diagnosis within networks of their probabilistic relationships, enabling the discovery of patient subgroups. A key strength is its ability to include presumed causal directions in the edges linking clinical and mutational features, and account for them aptly in the clustering. In a cohort of 1323 patients, we identify subgroups that outperform established risk classifications in prognostic accuracy. Our approach generalises well to unseen cohorts with classification based on our subgroups similarly offering advantages in …

Use Of Natural Language Processing To Identify Patients With Inflammatory Breast Cancer Across A Health-Care System, Ramez Kouzy, Megumi Kai, Huong T Le-Petross, Sadia Saleem, Wendy A Woodward

Faculty, Staff and Student Publications

Early identification and referral of inflammatory breast cancer remains challenging within large health-care systems, limiting access to specialized care. We developed and evaluated an artificial intelligence-driven platform integrating natural language processing (NLP) with electronic health records to systematically identify potential inflammatory breast cancer patients across 5 campuses. Our platform analyzed 8 623 494 clinical notes, implementing a sequential review process: NLP screening followed by human validation and multidisciplinary confirmation. Initial NLP screening achieved 55.4% positive predictive value, improving to 78.4% with human-in-the-loop review. Notably, among 255 confirmed patients with inflammatory breast cancer, our system demonstrated 92.2% sensitivity, identifying 57 patients …

The Effects Of Prescribed Medications On Depressive Symptoms And Neurocognitive Performance In People With Hiv, Asante R Kamkwalala, Avery Matthews, Ankita Garg, Upal Roy, Qing Ma, Erin Sundermann, Patricia K Riggs, Mattia Trunfio, Jennifer Blanchard, David J Moore, Leah H Rubin, Scott L Letendre

Faculty, Staff and Student Publications

Background: Alterations in brain function and structure, such as depression and neurocognitive impairment, continue to occur in people with human immunodeficiency virus (HIV, PWH) taking suppressive antiretroviral therapy (ART). The lifespan of PWH has improved but the healthspan remains worse than people without HIV, in part because of aging-related diseases. As a result, polypharmacy is common and increases the risk of drug-drug interactions and adverse reactions.

Methods: This cross-sectional project investigated the relationship between 7 medication-related metrics (including anticholinergic burden), depressive symptoms, and neurocognitive performance in 491 PWH at a single center in the United States. All participants were taking …

Trends In Medicare Payments Within The First Year Of Cervical Cancer Diagnosis, 2010–2019, Mohammad A Karim, Ning Zhang, Hui Zhao, Ya-Chen Tina Shih, Lakshmi S M Kodali, Sanjay Shete

Faculty, Staff and Student Publications

Assessing Medicare payment trends for cervical cancer care is important to mitigate the financial impact on Medicare. This multiyear cross-sectional study included 65 years and older cervical cancer patients in SEER registries diagnosed between 2010 and 2019 who had continuous Part A and B Medicare coverage at least 6 months before diagnosis and at least within the first year of diagnosis and were not enrolled in any Health Maintenance Organization (HMO) in this duration. The main outcomes were trends in total and service-specific mean monthly Medicare payments within the first year of a cervical cancer diagnosis. This study included 2147 …

Investigative Needle Core Biopsies Support Multimodal Deep-Data Generation In Glioblastoma, Kenny K H Yu, Sreyashi Basu, Gerard Baquer, Ryuhjin Ahn, Jennifer Gantchev, Michael S Regan, Michael C Prabhu, Marc J Williams, Alicia D D'Souza, Seth W Malinowski, Kelsey Hopland, Yuval Elhanati, Sylwia A Stopka, Alexei Stortchevoi, Charles Couturier, Zhong He, Jingjing Sun, Yulong Chen, Alexsandra B Espejo, Kin Hoe Chow, Smitha Yerrum, Pei-Lun Kao, Brittany Parker Kerrigan, Lisa Norberg, Douglas Nielsen, Vinay K Puduvalli, Jason Huse, Rameen Beroukhim, Betty Y S Kim, Sangeeta Goswami, Adrienne Boire, Sarah Frisken, Michael J Cima, Matthias Holdhoff, Calixto-Hope G Lucas, Chetan Bettegowda, Stuart S Levine, Tejus A Bale, Cameron Brennan, David A Reardon, Frederick F Lang, E Antonio Chiocca, Keith L Ligon, Forest M White, Padmanee Sharma, Viviane Tabar, Nathalie Y R Agar

Faculty, Staff and Student Publications

Glioblastoma (GBM) is an aggressive primary brain cancer with few effective therapies. Stereotactic needle biopsies are routinely used for diagnosis; however, the feasibility and utility of investigative biopsies to monitor treatment response remains ill-defined. Here, we demonstrate the depth of data generation possible from routine stereotactic needle core biopsies and perform highly resolved multi-omics analyses, including single-cell RNA sequencing, spatial transcriptomics, metabolomics, proteomics, phosphoproteomics, T-cell clonotype analysis, and MHC Class I immunopeptidomics on standard biopsy tissue obtained intra-operatively. We also examine biopsies taken from different locations and provide a framework for measuring spatial and genomic heterogeneity. Finally, we investigate the …

Improved Overall Survival In An Anti-Pd-L1 Treated Cohort Of Newly Diagnosed Glioblastoma Patients Is Associated With Distinct Immune, Mutation, And Gut Microbiome Features: A Single Arm Prospective Phase I/Ii Trial, Shiao-Pei Weathers, Xiqi Li, Haifeng Zhu, Ashish V Damania, Mark Knafl, Heather Lin, Nazanin K Majd, Barbara J O'Brien, Marta Penas-Prado, Monica Loghin, Carlos Kamiya-Matsuoka, W K Alfred Yung, Luisa M Solis Soto, Dipen M Maru, Ignacio Wistuba, Edwin R Parra Cuentas, Sharia Hernandez, Andrew Futreal, Jennifer A Wargo, Katja Schulze, Walter C Darbonne, Nadim J Ajami, Scott E Woodman, John F De Groot

Faculty, Staff and Student Publications

This phase I/II trial aims to evaluate the efficacy of concurrent atezolizumab with radiation therapy and temozolomide (TMZ) followed by adjuvant atezolizumab and TMZ in newly diagnosed glioblastoma (GBM) patients and to identify pre-treatment correlates with outcome (N = 60). Trial number: NCT03174197. The primary outcome was overall survival (OS) whereas secondary outcomes were retrospective global-omics analyses to identify pre-treatment immune and genetic tumor features that correlated with survival. Concurrent use of atezolizumab with radiation and TMZ demonstrated OS in line with published trials for newly diagnosed GBM. Tumor genomic (WES and/or targeted NGS panel), transcriptomic (RNAseq) and tissue microenvironment …

Building A Pre-Surgical Multiparametric-Mri-Based Morphologic, Qualitative, Semiquantitative, First And High-Order Radiomic Predictive Treatment Response Model For Undifferentiated Pleomorphic Sarcoma To Replace Recist, Raul F Valenzuela, Elvis Duran-Sierra, Mathew Antony, Behrang Amini, Sam Lo, Robert S Benjamin, Ken-Pin Hwang, R Jason Stafford, Dejka Araujo, Andrew J Bishop, Ravin Ratan, Wei-Lien Wang, Jossue Espinoza, Pia V Valenzuela, Chengyue Wu, John E Madewell, William A Murphy, Colleen M Costelloe

Faculty, Staff and Student Publications

Background: Undifferentiated pleomorphic sarcoma (UPS) is the largest subgroup of soft-tissue sarcomas. It demonstrates post-therapeutic hemosiderin deposition, granulation tissue formation, fibrosis, and calcification. Our research aims to establish the multiparametric MRI (mp-MRI) value for predicting UPS treatment response.

Methods: An IRB-approved retrospective study included 33 extremity UPS patients with pre-operative mp-MRI, including diffusion-weighted imaging (DWI), contrast-enhanced susceptibility-weighted imaging (CE-SWI), and perfusion-weighted imaging with dynamic contrast-enhancement (PWI/DCE), and surgical resection between February 2021 and May 2023. Lesions were visually classified on CE-SWI into one of 6 morphology patterns. On PWI/DCE, lesions were classified into one of 6 patterns, and time-intensity curves …

Distinct Adipose Progenitor Cells Emerging With Age Drive Active Adipogenesis, Guan Wang, Gaoyan Li, Anying Song, Yutian Zhao, Jiayu Yu, Yifan Wang, Wenting Dai, Martha Salas, Hanjun Qin, Leonard Medrano, Joan Dow, Aimin Li, Brian Armstrong, Patrick T Fueger, Hua Yu, Yi Zhu, Mengle Shao, Xiwei Wu, Lei Jiang, Judith Campisi, Xia Yang, Qiong A Wang

Children’s Nutrition Research Center Staff Publications

Starting at middle age, adults often suffer from visceral adiposity and associated adverse metabolic disorders. Lineage tracing in mice revealed that adipose progenitor cells (APCs) in visceral fat undergo extensive adipogenesis during middle age. Thus, despite the low turnover rate of adipocytes in young adults, adipogenesis is unlocked during middle age. Transplantations quantitatively showed that APCs in middle-aged mice exhibited high adipogenic capacity cell-autonomously. Single-cell RNA sequencing identified a distinct APC population, the committed preadipocyte, age-enriched (CP-A), emerging at this age. CP-As demonstrated elevated proliferation and adipogenesis activity. Pharmacological and genetic manipulations indicated that leukemia inhibitory factor receptor signaling was …

A Pioneering Artificial Intelligence Tool To Predict Treatment Outcomes In Ovarian Cancer Via Diagnostic Laparoscopy, Xiaotian Ma, Yu-Chun Hsu, Amma Asare, Kai Zhang, Deanna Glassman, Katherine Foster, Shannon Westin, Amir Jazaeri, Nicole D Fleming, Pratip K Bhattacharya, Xiaoqian Jiang, Anil K Sood, Shayan Shams

Faculty, Staff and Student Publications

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assessment of tumor localization can be used for treatment planning in newly diagnosed high-grade serous ovarian carcinoma (HGSOC). While spread to multiple intra-abdominal areas is correlated with worse outcomes, whether other morphological tumor differences are also associated with patient outcomes is unknown. Given the large volume of visual information in laparoscopic videos, we investigated whether deep-learning models can capture implicit features and predict treatment outcomes. We developed a novel deep-learning framework using pre-treatment laparoscopic images to assess clinical outcomes following upfront standard treatment, defined as short progression-free …

High-Grade Astrocytoma With Piloid Features: A Single-Institution Case Series And Literature Review, Eric A Goethe, Subhiksha Srinivasan, Swaminathan Kumar, Sujit S Prabhu, Maria A Gubbiotti

Faculty, Staff and Student Publications

High-grade astrocytoma with piloid features (HGAP) is a recently described primary brain tumor and the first requiring a specific methylation pattern for diagnosis, as its histologic features are often compatible with other tumors such as glioblastoma (GBM). Characterized by molecular alterations in CDKN2A/B, NF1, BRAF, FGFR1, and ATRX, they may be located anywhere in the CNS but show a predilection for the posterior fossa. Reports are limited to retrospective case series, and the standard of care is not yet established. We performed a retrospective review of electronic medical records of all patients with HGAP at our institution. Records were queried …

Development And Validation Of A Dynamic Real-Time Risk Prediction Model For Intensive Care Units Patients Based On Longitudinal Irregular Data: Multicenter Retrospective Study, Lan Lan, Xiaobo Zhou, Xiaoyan Yang, Shixin Huang

Faculty, Staff and Student Publications

Background: Timely and accurate prediction of short-term mortality is critical in intensive care units (ICUs), where patients' conditions change rapidly. Traditional scoring systems, such as the Simplified Acute Physiology Score and Acute Physiology and Chronic Health Evaluation, rely on static variables collected within the first 24 hours of admission and do not account for continuously evolving clinical states. These systems lack real-time adaptability, interpretability, and generalizability. With the increasing availability of high-frequency electronic medical record (EMR) data, machine learning (ML) approaches have emerged as powerful tools to model complex temporal patterns and support dynamic clinical decision-making. However, existing models are …

Functional Protein Biomarkers Based On Distributions Of Expression Levels In Single-Cell Imaging Data, Misung Yi, Tingting Zhan, Hallgeir Rui, Inna Chervoneva

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

MOTIVATION: The intra-tumor heterogeneity of protein expression is well recognized and may provide important information for cancer prognosis and predicting treatment responses. Analytic methods that account for spatial heterogeneity remain methodologically complex and computationally demanding for single-cell protein expression. For many functional proteins, single-cell expressions vary independently of spatial localization in a substantial proportion of the tumor tissues, and incorporation of spatial information may not affect the prognostic value of such protein biomarkers.

RESULTS: We developed a new framework for using the distributions of functional single-cell protein expression levels as cancer biomarkers. The quantile functions of single-cell expressions are used …

Rnase1-Driven Alk-Activation Is An Oncogenic Driver And Therapeutic Target In Non-Small Cell Lung Cancer, Zhengyu Zha, Chunxiao Liu, Meisi Yan, Cong Chen, Cheng Yu, Chenhao Zhou, Yi-Chuan Li, Hiro Yamaguchi, Leiguang Ye, Tong Liu, Ying-Nai Wang, Heng-Huan Lee, Wen-Hao Yang, Li-Chuan Chan, Baozhen Ke, Jennifer L Hsu, Lieming Ding, Dong Ji, Peng Pan, Yiran Meng, Yue Pu, Lunxu Liu, Mien-Chie Hung

Faculty, Staff and Student Publications

Targeted therapy has achieved significant success in the treatment of non-small cell lung cancer (NSCLC), particularly in patients harboring common oncogenic driver mutations such as EGFR, KRAS, and ALK rearrangement. However, ~35-50% of NSCLC patients without tyrosine kinase mutation or rearrangement (non-mutated) cannot benefit from these targeted treatments, highlighting the urgent need for novel therapeutic strategies for this patient population. In this study, we report a non-canonical role of human secretory ribonuclease 1 (RNase1), which binds to and activates wild-type ALK in lung cancer cells, thereby triggering its downstream signaling pathway. RNase1-driven ALK-activation (RDAA) cells exhibit enhanced cell proliferation, migration, …

Kras Mutation Detection By Liquid Biopsy For Pancreatic Ductal Adenocarcinoma, Mahmoud Yousef, Abdelrahman Yousef, Mark W Hurd, Ashwathy Pillai, Saikat Chowdhury, Mark Knafl, Paul M Roy, Mohammad Fanaeian, Sali Albarouki, Luca F Castelnovo, Jennifer Peterson, Brandon G Smaglo, Robert A Wolff, Shubham Pant, Jason Willis, Ryan Huey, Michael Overman, Ching-Wei Tzeng, Michael P Kim, Naruhiko Ikoma, Jess E Maxwell, Matthew H G Katz, Huamin Wang, Anirban Maitra, Eugene Koay, Ethan B Ludmir, Anthony Chen, Camila Lopez, Haoqiang Ying, John Paul Shen, Dan Zhao

Faculty, Staff and Student Publications

The clinical utility of liquid biopsy (LB) for pancreatic ductal adenocarcinoma (PDAC) remain understudied. Our single-institution cohort of 311 PDAC patients with non-tumor tissues informed LB found 81.2% positivity (N = 186) in metastatic cases and in 52.4% (N = 43) of localized disease. KRAS mutations were detected in 64.6% (N = 148) of metastatic cases and 16% (N = 13) for localized disease. Positive LB, especially KRAS mutation detection, is associated with worse overall survival (OS) in metastatic PDAC (median 14.5 vs. 31.3 months, HR = 2.7, 95%CI = 1.7-4.3, P <  0.0001). The positive concordance rates of KRAS and TP53 mutations were 63% and 68% in metastatic disease but only 7% (KRAS) and 33% (TP53) in localized disease, respectively. Among the 41 patients who underwent serial liquid biopsy testing, 25% tested positive after an initial negative result. LB detects therapeutically targetable mutations in 58.5% of PDAC patients and is associated with OS.

Reduced Venetoclax Exposure To 7 Days Vs Standard Exposure With Hypomethylating Agents In Newly Diagnosed Aml Patients, Christophe Willekens, Alexandre Bazinet, Samy Chraibi, Alex Bataller, Justine Decroocq, Benjamin Carpentier, Delphine Lebon, Abhishek Maiti, Nicolas Gauthier, Nicholas Short, Sarah Bonnet, Koji Sasaki, Sabine Khalife-Hachem, Mahesh Swaminathan, Jean-Baptiste Micol, Florence Pasquier, Christophe Marzac, Damien Roos-Weil, Laurent Pascal, Naval Daver, Tapan Kadia, Didier Bouscary, Farhad Ravandi, Arnaud Pages, Hagop Kantarjian, Stéphane De Botton, Courtney Dinardo

Faculty, Staff and Student Publications

Hypomethylating agent (HMA) plus venetoclax (VEN) regimens are standard of care in patients with acute myeloid leukemia (AML) ineligible for intensive chemotherapy. While the VEN label recommends continuous 28-day cycles, shortened VEN durations may induce similar response rates and improve tolerability. It is unknown how a VEN exposure reduced to 7 days during cycles compares to standard HMA + VEN. We retrospectively compared newly diagnosed AML patients treated with azacitidine (AZA) x 7 days plus VEN x 7 days ("7 + 7" regimen) from the first cycle (n = 82) vs patients treated with standard dose HMA + VEN (std-HMA/VEN) …

Evolution Of The Tumor Immune Landscape During Treatment With Tebentafusp, A T Cell Receptor-Cd3 Bispecific, Joseph Sacco, Peter Kirk, Emma Leach, Alexander Shoushtari, Richard Carvajal, Camille Britton-Rivet, Sophie Khakoo, Laura Collins, Luis De La Cruz-Merino, Zeynep Eroglu, Alexandra Ikeguchi, Paul Nathan, Omid Hamid, Marcus Butler, Sarah Stanhope, Koustubh Ranade, Takami Sato

Department of Medical Oncology Faculty Papers

Metastatic uveal melanoma is an aggressive disease with poor outcome, which is refractory to immune checkpoint inhibitors. A T cell receptor (TCR)-based CD3 bispecific, tebentafusp, delivers clinical benefit in patients with metastatic uveal melanoma. Understanding the molecular basis for the anti-tumor activity of tebentafusp in an indication where checkpoint inhibitors are ineffective could aid in identification of other solid tumor indications where CD3 bispecifics may serve an unmet need. By analyzing tumor biopsies taken prior to treatment, early on-treatment, and at progression (NCT02570308), using RNA sequencing (RNA-seq) and immunohistochemistry (IHC), we show that expression of interferon-related genes in the tumor …

Integrated Analysis Of Molecular And Clinical Features Associated With Overall Survival In Melanoma Patients With Brain Metastasis, Swaminathan Kumar, Meredith S Pelster, Merve Hasanov, Renato A Guerrieri, Courtney W Hudgens, Fuchenchu Wang, Julie M Simon, Lauren E Haydu, Kalman V Katlowitz, Y N Vashisht Gopal, Jennifer L Mcquade, Lawrence N Kwong, Jason T Huse, Alexander J Lazar, Michael T Tetzlaff, Jeffrey E Gershenwald, Aron Y Joon, Ken Chen, Ziyi Li, Prahlad T Ram, Sherise D Ferguson, Michael A Davies

Faculty, Staff and Student Publications

Melanoma brain metastases (MBMs) are diagnosed in up to 60% of metastatic melanoma patients. Previous studies have identified clinical factors that correlate with overall survival (OS) after MBM diagnosis. However, molecular and immune features associated with OS are poorly understood. An improved understanding of the molecular and immune correlates of OS could provide insights into MBM patient outcomes and guide therapeutic development. Thus, we analyzed clinical features and outcomes of 74 melanoma patients who underwent surgical resection (via craniotomy) between 1991 and 2015 at our institution with RNA-seq data generated from their MBMs. The median post-operative OS was 8.6 months …

Single-Cell Analyses Reveal A Functionally Heterogeneous Exhausted Cd8+ T-Cell Subpopulation That Is Correlated With Response To Checkpoint Therapy In Melanoma, Kelly M Mahuron, Osmaan Shahid, Prachi Sao, Clinton Wu, Alexandra M Haugh, Lauren S Levine, Michael Alvarado, Markee Micu, Katy K Tsai, Melissa Chow, Meromit Singer, Jason M Schenkel, Arlene H Sharpe, Michael D Rosenblum, Kristen E Pauken, Adil I Daud

Faculty, Staff and Student Publications

PD-1 pathway inhibitors have revolutionized cancer therapy. However, most patients do not durably benefit, highlighting the need for biomarkers to stratify patients as responders or nonresponders. Although CD8+ tumor-infiltrating lymphocytes (TIL) have been associated with immune checkpoint therapy response, there is no consensus on which CD8+ TIL subpopulations have the most prognostic value. Preclinical studies have focused on progenitor-like exhausted CD8+ T cells (TPEX) because TPEX proliferate more in response to PD-1 inhibitors than other exhausted T-cell (TEX) subpopulations. However, immune checkpoint inhibitor treatment drives TPEX differentiation into other TEX populations that can mediate antitumor immunity. These data complicate the …

Results Of The Phase I/Ii Study And Preliminary B-Cell Gene Signature Of Combined Inhibition Of Glutamine Metabolism And Egfr In Colorectal Cancer, Kristen K Ciombor, Seong-Woo Bae, Jennifer G Whisenant, Gregory D Ayers, Quanhu Sheng, Gary T Smith, Saikat Chowdhury, Preeti Kanikarla Marie, Alexey Sorokin, Allison S Cohen, Laura W Goff, Dana B Cardin, John Paul Shen, Scott Kopetz, Cathy Eng, Yu Shyr, Jordan Berlin, H Charles Manning

Faculty, Staff and Student Publications

Purpose: EGFR-targeting mAbs are essential for managing rat sarcoma virus wild-type metastatic colorectal cancer (mCRC), but their limited efficacy necessitates exploring immunologic and metabolic factors influencing response. This study evaluated glutamine metabolism targeting with EGFR inhibition to identify response biomarkers in patients with prior anti-EGFR treatment progression.

Patients and methods: We conducted a phase I/II trial in patients with KRAS wild-type mCRC, combining panitumumab (6 mg/kg) and CB-839 (600 mg/kg or 800 mg/kg), hypothesizing that the dual inhibition of glutamine metabolism and MAPK signaling would enhance outcomes. As study correlatives, we investigated the B-cell activation signature "B-score" and glutamine PET …

A Cluster Randomized Trial Of Xylitol Chewing Gum For Prevention Of Preterm Birth: The Ppax Trial, Gregory C Valentine, Kathleen M Antony, Haleh Sangi-Haghpeykar, Alexis C Wood, Rose Chirwa, Saukani Petro, Mary Dumba, Deborah Nanthuru, Cynthia Shope, Jesse Mlotha-Namarika, Jeffrey Wilkinson, Joshua Aagaard, Ellen J Aagaard, Maxim D Seferovic, Judy Levison, Peter Kazembe, Kjersti M Aagaard

Children’s Nutrition Research Center Staff Publications

Background: Maternal periodontal disease is associated with preterm and low-birthweight deliveries, but randomized trials of likely efficacious treatments (e.g., dental scaling and root planing) during pregnancy have not reduced these adverse outcomes. As an alternative, we hypothesized that periconception initiation of xylitol chewing gum would reduce the occurrence of preterm or low-birthweight deliveries among a historical high-prevalence population in Malawi.

Methods: We conducted an open-label, parallel-enrollment, matched-pair, cluster-randomized, controlled clinical trial across eight health centers (sites) in and around Lilongwe, Malawi. Sites were paired by anticipated delivery volume and randomized to prenatal and oral health education alone (active control) or …

Natural Killer Cells’ Functional Impairment Drives The Immune Escape Of Pre-Malignant Clones In Early-Stage Myelodysplastic Syndromes, Juan Jose Rodriguez-Sevilla, Irene Ganan-Gomez, Bijender Kumar, Natthakan Thongon, Feiyang Ma, Yi J Kim, Sanam Loghavi, Roselyn Tan, Vera Adema, Zongrui Li, Tomoyuki Tanaka, Hidetaka Uryu, Rashmi Kanagal-Shamanna, Gheath Al-Atrash, Rafael Bejar, Pinaki Prosad Banerjee, Sophia Lynn Cha, Guillermo Montalban-Bravo, Max Dougherty, Maria Claudina Fernandez Laurita, Noelle Wheeler, Baosen Jia, Eirini P Papapetrou, Franco Izzo, Daniela E Dueñas, Salome Mcallen, Yiqian Gu, Gabriele Todisco, Francesca Ficara, Matteo Giovanni Della Porta, Abhinav Jain, Koichi Takahashi, Karen Clise-Dwyer, Stephanie Halene, Maria Teresa Sabrina Bertilaccio, Guillermo Garcia-Manero, May Daher, Simona Colla

Faculty, Staff and Student Publications

Dissecting the preneoplastic disease states' biological mechanisms that precede tumorigenesis can lead to interventions that can slow down disease progression and/or mitigate disease-related comorbidities. Myelodysplastic syndromes (MDS) cannot be cured by currently available pharmacological therapies, which fail to eradicate aberrant hematopoietic stem cells (HSCs), most of which are mutated by the time of diagnosis. Here, we sought to elucidate how MDS HSCs evade immune surveillance and expand in patients with clonal cytopenias of undetermined significance (CCUS), the pre-malignant stage of MDS. We used multi-omic single-cell approaches and functional in vitro studies to show that immune escape at disease initiation is …

Her2-Selective Tyrosine Kinase Inhibitor, Zongertinib (Bi 1810631), In Patients With Advanced/Metastatic Solid Tumors With Her2 Alterations: A Phase Ia Dose-Escalation Study, John V Heymach, Frans Opdam, Minal Barve, Hai-Yan Tu, Yi-Long Wu, Lukas Schröter, Behbood Sadrolhefazi, Josep Serra, Kiyotaka Yoh, Noboru Yamamoto

Faculty, Staff and Student Publications

Purpose: Human epidermal growth factor receptor 2 (HER2) alterations occur in many solid cancers, including non-small cell lung cancer (NSCLC). Beamion LUNG-1 (ClinicalTrials.gov identifier: NCT04886804) is assessing the safety/efficacy of zongertinib (BI 1810631), a novel HER2-selective tyrosine kinase inhibitor that spares epidermal growth factor receptor, in patients with HER2-altered solid tumors.

Materials and methods: Beamion LUNG-1 is an ongoing multicenter, multicohort phase Ia/Ib trial. Phase Ia assessed zongertinib administered twice a day (15-150 mg) or once daily (60-360 mg) in pretreated patients with various tumors, including NSCLC. Primary end points were maximum tolerated dose (MTD) and dose-limiting toxicities (DLTs); …

Molecular Subtyping Of Hypertensive Disorders Of Pregnancy, Michal Elovitz, Elaine Gee, Nathaniel Delaney-Busch, Alison Moe, Mitsu Reddy, Arkady Khodursky, Johnny La, Ilma Abbas, Kay Mekaru, Hunter Collins, Farooq Siddiqui, Rory Nolan, Rupsa Boelig, Daniel Kiefer, Pamela Simmons, George Saade, Antonio Saad, Ebony Carter, Thomas Mcelrath, Stephen Quake, Mark Depristo, Carrie Haverty, Manfred Lee, Eugeni Namsaraev, Vincenzo Berghella, Ai-Ris Collier, Antonia Frolova, Esther Park-Hwang, Luis Pacheco, Elizabeth Sutton, Maneesh Jain, Kara Rood, William A Grobman, Joseph Biggio, Cynthia Gyamfi-Bannerman, Arun Jeyabalan, Morten Rasmussen

Department of Obstetrics and Gynecology Faculty Papers

Hypertensive disorders of pregnancy (HDP), including preeclampsia, affect 1 in 6 pregnancies, are major contributors to maternal morbidity and mortality, yet lack precision medicine strategies. Analyzing transcriptomic data from a prospectively-collected diverse cohort (n = 9102), this study reveals distinct RNA subtypes in maternal blood, reclassifying clinical HDP phenotypes like early/late-onset preeclampsia. The placental gene PAPPA2 strongly predicts the most severe forms of preeclampsia in individuals without pre-existing high risk factors, months before symptoms, and its overexpression correlates with earlier delivery in a dose-dependent manner. Further, molecular subtypes characterized by immune genes are upregulated in less severe forms of HDP. …

Phase 2 Trial Of Ibrutinib And Nivolumab In Patients With Relapsed Cns Lymphomas, Dai Chihara, Raphael E Steiner, Ranjit Nair, Lei Feng, Sairah Ahmed, Luis Malpica, Shivon A Mathew, Wirt Montinez, Gita Masand, Felipe Samaniego, Maria A Rodriguez, Fredrick B Hagemeister, Luis E Fayad, Swaminathan P Iyer, Loretta J Nastoupil, Sattva S Neelapu, Christopher R Flowers, Jason R Westin

Faculty, Staff and Student Publications

Treatment options are limited for both relapsed/refractory primary and secondary central nervous system (CNS) lymphoma and the prognosis remains poor. Previous studies have shown the activity of Bruton tyrosine kinase inhibitors and programmed death-1-targeted therapies in CNS lymphoma, and studies suggested potential synergy. Therefore, we conducted a phase 2 trial that combined ibrutinib with nivolumab for patients with relapsed/refractory CNS lymphoma. Patients received 560 mg oral ibrutinib daily with 240 mg IV nivolumab every 14 days (28 days per cycle). Patients who had partial or complete response after 6 cycles of treatment could continue therapy for up to 2 years …

Identifying The Human Olfactory And Chemosignaling Neural Networks Using Event Related Fmri And Graph Theory, Saideh Ferdowsi, Tom Foulsham, Alireza Rahmani, Dimitri Ognibene, Luca Citi

Faculty, Staff and Student Publications

This study aims to characterize and compare the functional neural networks associated with different olfactory stimuli, including air, non-social odours, and human body odours. We introduce a novel processing pipeline based on event-related functional magnetic resonance imaging (fMRI) and graph theory for network identification. To ensure the stability and small worldness of the characterized networks, we conduct statistical validations, network modularity assessments, and robustness measurement against local attacks. The key hypothesis is that human body odours (so-called social odours) and non-social odours engage distinct neural networks, particularly in regions responsible for social processing. We found that the posterior medial orbitofrontal …

A Phase Ii Trial Of Sitravatinib + Nivolumab After Progression On Immune Checkpoint Inhibitor In Patients With Metastatic Clear Cell Rcc, Andrew W Hahn, Nabil Adra, Ulka Vaishampayan, Lianchun Xiao, Nazli Dizman, Sagar S Mukhida, Jianjun Gao, Amado J Zurita, Eric Jonasch, Nizar M Tannir, Amishi Y Shah, Pavlos Msaouel

Faculty, Staff and Student Publications

Background: Sitravatinib, an oral multi-kinase inhibitor targeting VEGFR, TAM, and MET, has been shown to resensitize the tumor microenvironment to immune checkpoint inhibitors (ICI) by reducing immune-suppressive myeloid cells in metastatic clear cell RCC (ccRCC). ICI is the standard first-line (1L) treatment of metastatic ccRCC, and there is unmet need for improved treatment outcomes after progression on ICI. We hypothesized that sitravatinib plus nivolumab would revert an immunosuppressive tumor microenvironment (TME) to improve clinical outcomes.

Methods: In this investigator-initiated, phase II, multicenter trial (NCT04904302), patients with progressive metastatic ccRCC after 1-2 lines of treatment were enrolled into 3 …

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 …