Genetic Phenomena Commons^™

Pathologist-Read Vs Ai-Driven Assessment Of Tumor-Infiltrating Lymphocytes In Melanoma, Thazin N Aung, Matthew Liu, David Su, Saba Shafi, Ceren Boyaci, Sanna Steen, Nikolaos Tsiknakis, Joan Martinez Vidal, Nigel Maher, Goran Micevic, Samuel X Tan, Matthew D Vesely, Saeed Nourmohammadi, Yalai Bai, Dijana Djureinovic, Pok Fai Wong, Katherine Bates, Nay N N Chan, Niki Gavirelatou, Mengni He, Sneha Burela, Robert Barna, Martina Bosic, Konstantin Bräutigam, Irineu Illabochaca, Zhou Chenhao, Joao Gama, Bianca Kreis, Reka Mohacsi, Nir Pillar, Joao Pinto, Christos Poulios, Maria Angeliki Toli, Evangelos Tzoras, Yadriel Bracero, Francesca Bosisio, Gábor Cserni, Alis Dema, Francesco Fortarezza, Mercedes Solorzano Gonzalez, Irene Gullo, Francisco Javier Queipo Gutiérrez, Ezgi Hacihasanoglu, Viktor Jovic, Bianca Lazar, Maria Olinca, Christina Neppl, Rui Caetano Oliveira, Federica Pezzuto, Daniel Gomes Pinto, Vanda Plotar, Ovidiu Pop, Tilman Rau, Kristijan Skok, Wenwen Sun, Ezgi Dicle Serbes, Wiebke Solass, Olga Stanowska, Marcell Szasz, Krzysztof Szymonski, Franziska Thimm, Danielle Vignati, Alon Vigdorovits, Victor Prieto, Tobias Sinnberg, James Wilmott, Shawn Cowper, Jonathan Warrell, Yvonne Saenger, Johan Hartman, Jasmine Plummer, Iman Osman, David L Rimm, Balazs Acs

Faculty, Staff and Student Publications

Importance: Tumor-infiltrating lymphocytes (TILs) are a provocative biomarker in melanoma, influencing diagnosis, prognosis, and immunotherapy outcomes; however, traditional pathologist-read TIL assessment on hematoxylin and eosin-stained slides is prone to interobserver variability, leading to inconsistent clinical decisions. Therefore, development of newer TIL scoring approaches that produce more reliable and consistent readouts is important.

Objective: To evaluate the analytical and clinical validity of a machine learning algorithm for TIL quantification in melanoma compared with traditional pathologist-read methods.

Design, setting, and participants: This multioperator, global, multi-institutional prognostic study compared TIL scoring reproducibility between traditional pathologist-read methods and an artificial intelligence (AI)-driven approach. The …

Adtnorm: Robust Integration Of Single-Cell Protein Measurement Across Cite-Seq Datasets, Ye Zheng, Daniel P Caron, Ju Yeong Kim, Seong-Hwan Jun, Yuan Tian, Florian Mair, Kenneth D Stuart, Peter A Sims, Raphael Gottardo

Faculty, Staff and Student Publications

Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) enables paired measurement of surface protein and mRNA expression in single cells using antibodies conjugated to oligonucleotide tags. Due to the high copy number of surface protein molecules, sequencing antibody-derived tags (ADTs) allows for robust protein detection, improving cell-type identification. However, variability in antibody staining leads to batch effects in the ADT expression, obscuring biological variation, reducing interpretability, and obstructing cross-study analyses. Here, we present ADTnorm, a normalization and integration method designed explicitly for ADT abundance. Benchmarking against 14 existing scaling and normalization methods, we show that ADTnorm accurately aligns populations …

Spontaneous Tumor Regression And Immunotherapy Response Demonstrate Clonal T-Cell Expansion In Merkel Cell Carcinoma, Patrick Hallaert, John W Roman, Mairead Baker, Natasha T Hill, Jennifer L Marte, James L Gulley, Nicholas Logemann, Courtney W Hudgens, Alexandre Reuben, Isaac Brownell

Faculty, Staff and Student Publications

Merkel cell carcinoma (MCC) is a rare and aggressive neuroendocrine skin cancer that is responsive to immune checkpoint inhibitors (ICI). On rare occasion, MCC spontaneously regresses. It is speculated that this regression occurs when biopsy-induced antigen shedding precipitates an immune response. Here, we demonstrate the activation of an adaptive immune response in a patient whose tumor underwent spontaneous regression after biopsy. To evaluate the tumor immune microenvironment during regression, we performed quantitative immunohistochemical analysis and T-cell receptor (TCR) sequencing. Relative to baseline, the regressing tumor showed evidence of an activated cytotoxic T-cell response together with increased TCR clonality, greater representation …

Feasibility Of Monte Carlo-Based Patient-Specific Quality Assurance In 15 Tesla Magnetic Resonance-Guided Online Adaptive Radiotherapy: A Multi-Institutional Study, Ruiqi Li, Yao Zhao, Jingying Lin, Tsuicheng Chiu, Weiguo Lu, Jinzhong Yang, Mu-Han Lin

Faculty, Staff and Student Publications

Introduction: To evaluate the feasibility of Monte Carlo (MC)-based patient-specific quality assurance (PSQA) for MR-guided online adaptive radiotherapy and to explore the potential to eliminate the post-delivery measurement-based PSQA.

Material and methods: A total of 113 cases from two institutions, treated on MR-Linac machines, were included in the study. A customized GPU-accelerated, Monte Carlo-based secondary dose verification software (ART2Dose) was developed and integrated into the QA workflow, accounting for a 1.5 Tesla magnetic field. PSQA included ArcCheck (AC) delivery QA and online MC calculation-based QA. Reference plans underwent offline validation with AC and MC, while adapt-to-shape (ATS) plans were processed …

The Landmark Series: Therapeutic Cancer Vaccine Strategies For Cold Tumors, Alex B Blair, Lei Zheng, Kevin C Soares

Faculty, Staff and Student Publications

Immunologically cold tumors present a significant challenge in cancer treatment due to their limited baseline immune infiltration and resistance to immunotherapy. Cancer vaccines offer a promising strategy to overcome this barrier by introducing high-quality, tumor-relevant antigens that can stimulate an effective anti-tumor immune response. Therapeutic cancer vaccines are being explored in the neoadjuvant, adjuvant, and minimal residual disease contexts to enhance immune activation and promote immune cell infiltration and function, with the goal to eradicate malignant cells and improve patient survival. Critical hurdles remain in optimizing antigen selection, determining the most effective vaccine formulations, and defining the ideal clinical setting …

Image-Based Mandibular And Maxillary Parcellation And Annotation Using Computed Tomography (Impact): A Deep Learning-Based Clinical Tool For Orodental Dose Estimation And Osteoradionecrosis Assessment, Laia Humbert-Vidan, Austin H Castelo, Renjie He, Lisanne V Van Dijk, Dong Joo Rhee, Congjun Wang, He C Wang, Kareem A Wahid, Sonali Joshi, Parshan Gerafian, Natalie West, Zaphanlene Kaffey, Sarah Mirbahaeddin, Jaqueline Curiel, Samrina Acharya, Amal Shekha, Praise Oderinde, Alaa M S Ali, Andrew Hope, Erin Watson, Ruth Wesson-Aponte, Steven J Frank, Carly E A Barbon, Kristy K Brock, Mark S Chambers, Muhammad Walji, Katherine A Hutcheson, Stephen Y Lai, Clifton D Fuller, Mohamed A Naser, Amy C Moreno, Opc-Survivor Program, Md Anderson Head And Neck Cancer Symptom Working Group

Faculty, Staff and Student Publications

Background and purpose: Accurate delineation of orodental structures on radiotherapy computed tomography (CT) images is essential for dosimetric assessment and dental decisions. We propose a deep-learning (DL) auto-segmentation framework for individual teeth and mandible/maxilla sub-volumes aligned with the ClinRad osteoradionecrosis staging system.

Materials and methods: Mandible and maxilla sub-volumes were manually defined on simulation CT images from 60 clinical cases, differentiating alveolar from basal regions; teeth were labelled individually. For each task, a DL segmentation model was independently trained. A Swin UNETR-based model was used for mandible sub-volumes. For smaller structures (e.g., teeth and maxilla sub-volumes) a two-stage model first …

The Evolution Of Multidisciplinary Head And Neck Cancer Treatment, Kevin J Contrera, Pooja D Reddy, Vanessa Helou, Jeffrey N Myers, Heath D Skinner, Renata Ferrarotto, Eugene N Myers

Faculty, Staff and Student Publications

Objective: The management of head and neck squamous cell carcinoma (HNSCC) has substantially changed over the past two centuries. This review explores the historical progression of HNSCC management focusing on the multidisciplinary treatment paradigm.

Data sources: This review synthesizes data from historical and current clinical trials, books, scientific reports, public documents, and other written material relevant to HNSCC management.

Review methods: Historical review.

Results: Although surgery was initially the only treatment available, radiation, chemotherapy, and immunotherapy have expanded the treatment landscape for HNSCC. Despite continuous evolution, modern treatment of HNSCC remains rooted in a multidisciplinary, personalized approach. This review highlights …

Liger-Hn Phase Iii Trials Of Petosemtamab + Pembrolizumab And Petosemtamab Monotherapy In Recurrent Or Metastatic Hnscc, Jean-Pascal Machiels, Jérôme Fayette, Robert Haddad, Douglas Adkins, Maura Gillison, Kevin J Harrington, Sung-Bae Kim, Christophe Le Tourneau, Amanda Psyrri, Ari Rosenberg, Lillian L Siu, Makoto Tahara, William N William, Jim Ford, Shekeab Jauhari, Rebecca Pyle, Yu-Ming Shen, David Yao, Fabian Zohren, Everett Vokes

Faculty, Staff and Student Publications

Patients with recurrent/metastatic (r/m) head and neck squamous cell carcinoma (HNSCC) have limited treatment options and a dismal prognosis, especially when their cancer is resistant to standard treatments like anti-programmed cell death protein 1 and platinum-based therapies. Petosemtamab - a human, common light chain, bispecific antibody with enhanced antibody-dependent cellular cytotoxicity targeting epidermal growth factor receptor (EGFR) and leucine-rich repeat-containing G-protein coupled receptor 5 (LGR5) - demonstrated antitumor activity in r/m HNSCC. In many tumor types, including HNSCC, EGFR is an oncogenic driver, while LGR5 is upregulated. LGR5 can potentiate the wingless-type integration site (WNT)/β-catenin signaling pathway in response to …

Developing Reference Plans For Evaluating Global Clinical Trials Credentialing And Psqa Systems, Fre'etta M D Brooks, Mohammad Hussein, Jessica Lye, Christopher L Nelson, Nakamura Mitsuhiro, Mallory C Glenn, Patricia Diez, Rushil Patel, Maddison Shaw, Ileana Silvestre Patallo, Miriam Barry, Catharine H Clark, Joerg Lehmann, Stephen F Kry

Faculty, Staff and Student Publications

Purpose: To develop a practical framework for creating a diverse set of validated reference plans (varying in complexity) and implement a workflow to introduce beam modeling, calibration, and delivery errors into the reference cohort to test and compare various dosimetry audit methodologies.

Methods: Sixteen IMRT and VMAT reference plans were created, using RayStation software, for four phantom geometries based on established credentialing cases from participating Global Harmonization Group (GHG) members. These reference plans were first validated in a multi-ion-chamber phantom. Nine dosimetric errors (perturbations) were introduced into the plans by modifying beam model and/or delivery parameters (MLC-offset, MLC-transmission, leaf-tip-width, PDD, …

Progress And Challenges Of Artificial Intelligence In Lung Cancer Clinical Translation, Erjia Zhu, Amgad Muneer, Jianjun Zhang, Yang Xia, Xiaomeng Li, Caicun Zhou, John V Heymach, Jia Wu, Xiuning Le

Faculty, Staff and Student Publications

Artificial intelligence (AI) algorithms, such as convolutional neural networks and transformers, have significantly impacted cancer care. For lung cancer, AI holds great potential in addressing smoking cessation, personalized screening, and imaging genomics. And these data could be incorporated to optimize treatment selection. This review highlights the transformative impact of AI in lung cancer management, discusses crucial barriers such as model bias and fairness, and outlines future directions for clinical application.

Mutation Dynamics From Diagnosis To Relapse In Acute Myeloid Leukemia With Chromosomal 7 Deletions, Eitan Kugler, Enes Dasdemir, Alex Bataller, Bofei Wang, Courtney D Dinardo, Naval Daver, Musa Yilmaz, Nicholas J Short, Gautam Borthakur, Tapan M Kadia, Koji Sasaki, Danielle Hammond, Alexandre Bazinet, Ehsan Irajizad, Beenu Thakral, Sherry Pierce, Patrick Reville, Farhad Ravandi, Hussein A Abbas

Faculty, Staff and Student Publications

Monosomy 7 and 7q deletions (-7/del(7q)) are the most common adverse cytogenetic event in acute myeloid leukemia (AML), linked to high relapse rates. We analyzed 115 AML patients with -7/del(7q) who achieved remission after induction therapy to characterize the mutational landscape from diagnosis to relapse. Median overall survival (OS) was 10.4 months, with improved survival in patients without TP53 mutation (13.04 vs. 8.6 months) or complex karyotype (12.4 vs. 8.6 months). TP53 mutations were most frequent (67% of cases at diagnosis) and persisted in 97% of patients at relapse. At time of relapse, patients with TP53 mutations had fewer co-occurring …

A Visual-Omics Foundation Model To Bridge Histopathology With Spatial Transcriptomics, Weiqing Chen, Pengzhi Zhang, Tu N Tran, Yiwei Xiao, Shengyu Li, Vrutant V Shah, Hao Cheng, Kristopher W Brannan, Keith Youker, Li Lai, Longhou Fang, Yu Yang, Nhat-Tu Le, Jun-Ichi Abe, Shu-Hsia Chen, Qin Ma, Ken Chen, Qianqian Song, John P Cooke, Guangyu Wang

Faculty, Staff and Student Publications

Artificial intelligence has revolutionized computational biology. Recent developments in omics technologies, including single-cell RNA sequencing and spatial transcriptomics, provide detailed genomic data alongside tissue histology. However, current computational models focus on either omics or image analysis, lacking their integration. To address this, we developed OmiCLIP, a visual-omics foundation model linking hematoxylin and eosin images and transcriptomics using tissue patches from Visium data. We transformed transcriptomic data into 'sentences' by concatenating top-expressed gene symbols from each patch. We curated a dataset of 2.2 million paired tissue images and transcriptomic data across 32 organs to train OmiCLIP integrating histology and transcriptomics. Building …

Local Control After Adjuvant Radiosurgery For Spinal Metastasis Treated With Decompression And Posterior Segmental Stabilization: A Comparison Between Carbon Fiber/Polyetheretherketone-Based And Metallic Implants, Romulo A Andrade-Almeida, Francisco Call-Orellana, Juan P Zuluaga-Garcia, Esteban Ramirez-Ferrer, Gil Kimchi, Brian S De, Alexandre B Guimaraes, Christopher A Alvarez-Breckenridge, Jing Li, Amol J Ghia, Laurence Rhines, Martin C Tom, Chenyang Wang, Thomas H Beckham, Behrang Amini, Robert Y North, Claudio E Tatsui

Faculty, Staff and Student Publications

Purpose: Carbon fiber-reinforced polyetheretherketone (CFRP) spinal implants are gaining popularity in the surgical management of spinal metastasis because of their physical and radiographic properties, which facilitate adjuvant radiation planning and tumor surveillance. Their impact on clinical outcomes is still under investigation. We evaluated the role of hardware material (CFRP vs titanium) in local control and hardware durability in metastatic cases receiving decompressive surgery and adjuvant spinal stereotactic radiosurgery (SSRS).

Methods and materials: This single-institution, retrospective cohort study was approved by the local institutional review board. Patients who underwent decompressive surgery with posterior segmental instrumentation followed by treatment with SSRS for …

Blood Bacterial Dna Signatures In A Prospective Cohort Of Patients With Masld Cirrhosis, Suet-Ying Kwan, Lillian I Dolapchiev, Caren I Sanchez, Tiffany L Calderone, Jessica I Sanchez, Megha B Bhongade, Ahmed El Sabagh, Darrel W Cleere, Nakul Gupta, Prasun K Jalal, David W Victor, Laura Beretta

Faculty, Staff and Student Publications

Background: Predictive biomarkers are needed to identify individuals with metabolic dysfunction-associated steatotic liver disease (MASLD), at high risk for HCC. Our study aimed to determine whether the detection of circulating bacterial DNA could be associated with HCC development in MASLD patients with liver cirrhosis.

Methods: We developed a multicenter prospective cohort of patients with cirrhosis undergoing surveillance for HCC by contrast-enhanced magnetic resonance imaging. In a nested cohort study, we performed 16S rRNA sequencing of cell-free DNA extracted from 343 longitudinal plasma samples collected from 151 MASLD patients with cirrhosis. Among the 151 patients, 25 developed HCC during follow-up.

Results: …

A Method For Sensitivity Analysis Of Automatic Contouring Algorithms Across Different Contrast Weightings Using Synthetic Magnetic Resonance Imaging, Lucas Mccullum, Zayne Belal, Warren Floyd, Alaa Mohamed Shawky Ali, Natalie West, Samuel Mulder, Yao Ding, Jiaofeng Xu, Dan Thill, Nicolette O'Connell, Joseph Stancanello, Kareem A Wahid, David T Fuentes, Ken-Pin Hwang, Clifton D Fuller

Faculty, Staff and Student Publications

Background and purpose: A majority of institution-specific automatic magnetic resonance imaging (MRI)-based contouring algorithms utilize one contrast-weighting (i.e., T2-weighted), however their performance within this contrast-weighting (i.e., across different repetition time, TR, and echo time, TE) is under-investigated and poorly understood. The purpose of this study was to develop a method to evaluate the robustness of automatic contouring algorithms to varying MRI contrast-weightings.

Materials and methods: One healthy volunteer and one patient were scanned using the multi-delay multi-echo (MDME) scan on a 3T MRI. The parotid and submandibular glands in these subjects were contoured using an automatic contouring algorithm trained on …

Technical Development And In Silico Implementation Of Syntheticmr In Head And Neck Adaptive Radiation Therapy: A Prospective R-Ideal Stage 0/1 Technology Development Report, Lucas Mccullum, Samuel L Mulder, Natalie A West, Robert Aghoghovbia, Alaa Mohamed Shawky Ali, Hayden Scott, Travis C Salzillo, Yao Ding, Alex Dresner, Ergys Subashi, Dan Ma, R Jason Stafford, Ken-Pin Hwang, Clifton D Fuller

Faculty, Staff and Student Publications

Background: SyntheticMR has the capability of generating quantitative relaxometry maps and synthetic contrast-weighted MRI images in rapid acquisition times. Recently, it has gained attention in the diagnostic community, however, no studies have investigated its feasibility on the MR-Simulation or MR-Linac systems, especially as part of the head and neck adaptive radiation oncology workflow.

Purpose: Demonstrating its feasibility will facilitate rapid quantitative biomarker extraction, which can be leveraged to guide adaptive radiation therapy decision making.

Methods: Two phantoms, two healthy volunteers, and one patient were scanned using SyntheticMR on the MR-Simulation and MR-Linac devices with scan times between 4 to 6 …

Long-Term Transfusion Independence With Luspatercept Versus Epoetin Alfa In Erythropoiesis-Stimulating Agent-Naive, Lower-Risk Myelodysplastic Syndromes In The Commands Trial, Guillermo Garcia-Manero, Valeria Santini, Amer M Zeidan, Rami S Komrokji, Veronika Pozharskaya, Shelonitda Rose, Karen Keeperman, Yinzhi Lai, Sameer Kalsekar, Barkha Aggarwal, Dimana Miteva, David Valcárcel, Pierre Fenaux, Jake Shortt, Matteo Giovanni Della Porta, Uwe Platzbecker

Faculty, Staff and Student Publications

Introduction: The efficacy of erythropoiesis-stimulating agents (ESAs) for transfusion-dependent (TD) anemia in lower-risk myelodysplastic syndromes (LR-MDS) is limited. Luspatercept achieved significantly greater rates of red blood cell (RBC) transfusion independence (TI) versus epoetin alfa (an ESA) in the phase 3 COMMANDS trial. This analysis assessed long-term RBC-TI, cumulative response, and safety with luspatercept in COMMANDS.

Methods: Eligible patients aged ≥ 18 years, with ESA-naive, RBC TD LR-MDS were randomized 1:1 to receive luspatercept (1.0 mg/kg, titration to 1.75 mg/kg permitted) or epoetin alfa (450 IU/kg, titration to 1050 IU/kg). Disease assessment was carried out at week 24 (day 169) and …

Long-Term Follow-Up And Combined Phase 2 Results Of Eprenetapopt And Azacitidine In Patients With Tp53 Mutant Mds/Aml, David A Sallman, Rami S Komrokji, Amy E Dezern, Marie Sebert, Guillermo Garcia-Manero, Ramy Rahmé, Eric S Winer, Jacqueline Lehmann-Che, Gail J Roboz, Isabelle Madelaine, Mikkael A Sekeres, Pierre Peterlin, Onyee Chan, Odile Beyne-Rauzy, Andrew Kuykendall, Christian Recher, Amy Mclemore, Aspasia Stamatoullas, Ling Zhang, Lise Willems, Qianxing Mo, Emmanuel Raffoux, Lisa Nardelli, Céline Berthon, Najla H Al Ali, Bruno Quesnel, Eric Padron, Hagop M Kantarjian, Alan F List, Lionel Ades, Jeffrey E Lancet, Pierre Fenaux, Thomas Cluzeau

Faculty, Staff and Student Publications

TP53 gene mutations (mTP53) represent a distinct molecular cohort with poor outcomes. Eprenetapopt (APR-246) is a novel, first-in-class small molecule that reactivates p53 and targets cellular redox balance, ultimately inducing apoptosis and ferroptosis in mTP53 cancer cells. This is a multicenter, international collaboration of the US myelodysplastic syndromes/neoplasms (MDS) clinical research symposium and the Groupe Francophone des Myelodysplasies (GFM) of hypomethylating agents-naïve mTP53 higher risk MDS and oligoblastic acute myeloid leukemia (AML; ≤30% blasts; NCT03072043/NCT03588078). Patients received eprenetapopt 4500 mg iv (Days 1-4) + azacitidine 75 mg/m2 sc/iv × 7 days in 28-day cycles. The …

Impacts Of Radiation On Metabolism And Vascular Cell Senescence, Junichi Abe, Khanh Chau, Anahita Mojiri, Guangyu Wang, Masayoshi Oikawa, Venkata S K Samanthapudi, Abigail M Osborn, Keila C Ostos-Mendoza, Karla N Mariscal-Reyes, Tammay Mathur, Abhishek Jain, Joerg Herrmann, Syed Wamique Yusuf, Sunil Krishnan, Anita Deswal, Steven H Lin, Sivareddy Kotla, John P Cooke, Nhat-Tu Le

Faculty, Staff and Student Publications

Significance: This review investigates how radiation therapy (RT) increases the risk of delayed cardiovascular disease (CVD) in cancer survivors. Understanding the mechanisms underlying radiation-induced CVD is essential for developing targeted therapies to mitigate these effects and improve long-term outcomes for patients with cancer.

Recent Advances: Recent studies have primarily focused on metabolic alterations induced by irradiation in various cancer cell types. However, there remains a significant knowledge gap regarding the role of chronic metabolic alterations in normal cells, particularly vascular cells, in the progression of CVD after RT.

Critical Issues: This review centers on RT-induced metabolic alterations in vascular cells …

Heat Shock Induces Alternative Polyadenylation Through Dynamic Dna Methylation And Chromatin Looping, Emily E Fink, Yi Zhang, Briana Santo, Anwita Siddavatam, Rosie Ou, Vishal Nanavaty, Byron H Lee, Angela H Ting

Faculty, Staff and Student Publications

Alternative cleavage and polyadenylation (APA) is a gene regulatory mechanism used by cells under stress to upregulate proteostasis-promoting transcripts, but how cells achieve this remains poorly understood. Previously, we elucidated a DNA methylation-regulated APA mechanism, in which gene body DNA methylation enhances distal poly(A) isoform expression by blocking CCCTC-binding factor (CTCF) binding and chromatin loop formation at APA control regions. We hypothesized that DNA methylation-regulated APA is one mechanism cells employ to induce proteostasis-promoting poly(A) isoforms. At the DNAJB6 cochaperone locus, acute heat shock resulted in binding of stress response transcription factors heat shock factor 1, ATF6, and YY1 at …