Genetic Phenomena Commons^™

Ramucirumab Plus Erlotinib Versus Placebo Plus Erlotinib In Previously Untreated Egfr-Mutated Metastatic Non-Small-Cell Lung Cancer (Relay): Exploratory Analysis Of Next-Generation Sequencing Results, E B Garon, M Reck, K Nishio, J V Heymach, M Nishio, S Novello, L Paz-Ares, S Popat, S Ponce Aix, H Graham, B D Butts, C Visseren-Grul, K Nakagawa

Faculty, Staff and Student Publications

Background: Ramucirumab plus erlotinib (RAM + ERL) demonstrated superior progression-free survival (PFS) over placebo + ERL (PBO + ERL) in the phase III RELAY study of patients with epidermal growth factor receptor (EGFR)-mutated metastatic non-small-cell lung cancer (EGFR+ mNSCLC; NCT02411448). Next-generation sequencing (NGS) was used to identify clinically relevant alterations in circulating tumor DNA (ctDNA) and explore their impact on treatment outcomes.

Patients and methods: Eligible patients with EGFR+ mNSCLC were randomized 1 : 1 to ERL (150 mg/day) plus RAM (10 mg/kg)/PBO every 2 weeks. Liquid biopsies were to be prospectively collected at baseline, cycle 4 (C4), and …

Poziotinib In Treatment-Naive Nsclc Harboring Her2 Exon 20 Mutations: Zenith20-4, A Multicenter, Multicohort, Open-Label, Phase 2 Trial (Cohort 4), Robin Cornelissen, Arsela Prelaj, Sophie Sun, Christina Baik, Mirjana Wollner, Eric B Haura, Hirva Mamdani, Jonathan W Riess, Federico Cappuzzo, Marina C Garassino, John V Heymach, Mark A Socinski, Szu-Yun Leu, Gajanan Bhat, Francois Lebel, Xiuning Le, Zenith20-4 Investigators

Faculty, Staff and Student Publications

Introduction: ERBB2 or HER2 alterations are found in approximately 2% to 5% of NSCLCs; most are exon 20 insertion mutations. The efficacy and safety of poziotinib, an oral tyrosine kinase inhibitor, were assessed in patients with treatment-naive NSCLC whose tumors harbor HER2 exon 20 insertions.

Methods: ZENITH20 is an open-label, multicohort, multicenter, global, phase 2 trial. ZENITH20-C4 enrolled treatment-naive patients with NSCLC with tumors harboring HER2 exon 20 insertions. Poziotinib was administered 16 mg once daily (QD) or 8 mg twice daily (BID). The primary end point was objective response rate (ORR) by independent central review. Secondary and exploratory end …

Vincristine Enhances The Efficacy Of Mek Inhibitors In Preclinical Models Of Kras-Mutant Colorectal Cancer, Susmita Ghosh, Fan Fan, Reid T Powell, Jason Roszik, Yong Sung Park, Clifford Stephan, Manu Sebastian, Lin Tan, Alexey V Sorokin, Philip L Lorenzi, Scott Kopetz, Lee M Ellis, Rajat Bhattacharya

Faculty, Staff and Student Publications

Mutations in KRAS are found in more than 50% of tumors from patients with metastatic colorectal cancer (mCRC). However, direct targeting of most KRAS mutations is difficult; even the recently developed KRASG12C inhibitors failed to show significant benefit in patients with mCRC. Single agents targeting mitogen-activated protein kinase kinase (MEK), a downstream mediator of RAS, have also been ineffective in colorectal cancer. To identify drugs that can enhance the efficacy of MEK inhibitors, we performed unbiased high-throughput screening using colorectal cancer spheroids. We used trametinib as the anchor drug and examined combinations of trametinib with the NCI-approved Oncology Library version …

Development And Validation Of An Automated Image-Based Deep Learning Platform For Sarcopenia Assessment In Head And Neck Cancer, Zezhong Ye, Anurag Saraf, Yashwanth Ravipati, Frank Hoebers, Paul J Catalano, Yining Zha, Anna Zapaishchykova, Jirapat Likitlersuang, Christian Guthier, Roy B Tishler, Jonathan D Schoenfeld, Danielle N Margalit, Robert I Haddad, Raymond H Mak, Mohamed Naser, Kareem A Wahid, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Antti A Mäkitie, Clifton D Fuller, Hugo J W L Aerts, Benjamin H Kann

Faculty, Staff and Student Publications

Importance: Sarcopenia is an established prognostic factor in patients with head and neck squamous cell carcinoma (HNSCC); the quantification of sarcopenia assessed by imaging is typically achieved through the skeletal muscle index (SMI), which can be derived from cervical skeletal muscle segmentation and cross-sectional area. However, manual muscle segmentation is labor intensive, prone to interobserver variability, and impractical for large-scale clinical use.

Objective: To develop and externally validate a fully automated image-based deep learning platform for cervical vertebral muscle segmentation and SMI calculation and evaluate associations with survival and treatment toxicity outcomes.

Design, setting, and participants: For this prognostic study, …

Myelodysplastic Syndromes: 2023 Update On Diagnosis, Risk-Stratification, And Management, Guillermo Garcia-Manero

Faculty, Staff and Student Publications

Disease overview: The myelodysplastic syndromes (MDS) are a very heterogeneous group of myeloid disorders characterized by peripheral blood cytopenias and increased risk of transformation to acute myelogenous leukemia (AML). MDS occurs more frequently in older males and in individuals with prior exposure to cytotoxic therapy.

Diagnosis: Diagnosis of MDS is based on morphological evidence of dysplasia upon visual examination of a bone marrow aspirate and biopsy. Information obtained from additional studies such as karyotype, flow cytometry, and molecular genetics is usually complementary and may help refine diagnosis. A new WHO classification of MDS was proposed in 2022. Under this classification, …

Pitfalls In Machine Learning-Based Assessment Of Tumor-Infiltrating Lymphocytes In Breast Cancer: A Report Of The International Immuno-Oncology Biomarker Working Group On Breast Cancer, Jeppe Thagaard, Glenn Broeckx, David B Page, Chowdhury Arif Jahangir, Sara Verbandt, Zuzana Kos, Rajarsi Gupta, Reena Khiroya, Khalid Abduljabbar, Gabriela Acosta Haab, Balazs Acs, Guray Akturk, Jonas S Almeida, Isabel Alvarado-Cabrero, Mohamed Amgad, Farid Azmoudeh-Ardalan, Sunil Badve, Nurkhairul Bariyah Baharun, Eva Balslev, Enrique R Bellolio, Vydehi Bheemaraju, Kim Rm Blenman, Luciana Botinelly Mendonça Fujimoto, Najat Bouchmaa, Octavio Burgues, Alexandros Chardas, Maggie Chon U Cheang, Francesco Ciompi, Lee Ad Cooper, An Coosemans, Germán Corredor, Anders B Dahl, Flavio Luis Dantas Portela, Frederik Deman, Sandra Demaria, Johan Doré Hansen, Sarah N Dudgeon, Thomas Ebstrup, Mahmoud Elghazawy, Claudio Fernandez-Martín, Stephen B Fox, William M Gallagher, Jennifer M Giltnane, Sacha Gnjatic, Paula I Gonzalez-Ericsson, Anita Grigoriadis, Niels Halama, Matthew G Hanna, Aparna Harbhajanka, Steven N Hart, Johan Hartman, Søren Hauberg, Stephen Hewitt, Akira I Hida, Hugo M Horlings, Zaheed Husain, Evangelos Hytopoulos, Sheeba Irshad, Emiel Am Janssen, Mohamed Kahila, Tatsuki R Kataoka, Kosuke Kawaguchi, Durga Kharidehal, Andrey I Khramtsov, Umay Kiraz, Pawan Kirtani, Liudmila L Kodach, Konstanty Korski, Anikó Kovács, Anne-Vibeke Laenkholm, Corinna Lang-Schwarz, Denis Larsimont, Jochen K Lennerz, Marvin Lerousseau, Xiaoxian Li, Amy Ly, Anant Madabhushi, Sai K Maley, Vidya Manur Narasimhamurthy, Douglas K Marks, Elizabeth S Mcdonald, Ravi Mehrotra, Stefan Michiels, Fayyaz Ul Amir Afsar Minhas, Shachi Mittal, David A Moore, Shamim Mushtaq, Hussain Nighat, Thomas Papathomas, Frederique Penault-Llorca, Rashindrie D Perera, Christopher J Pinard, Juan Carlos Pinto-Cardenas, Giancarlo Pruneri, Lajos Pusztai, Arman Rahman, Nasir Mahmood Rajpoot, Bernardo Leon Rapoport, Tilman T Rau, Jorge S Reis-Filho, Joana M Ribeiro, David Rimm, Anne Roslind, Anne Vincent-Salomon, Manuel Salto-Tellez, Joel Saltz, Shahin Sayed, Ely Scott, Kalliopi P Siziopikou, Christos Sotiriou, Albrecht Stenzinger, Maher A Sughayer, Daniel Sur, Susan Fineberg, Fraser Symmans, Sunao Tanaka, Timothy Taxter, Sabine Tejpar, Jonas Teuwen, E Aubrey Thompson, Trine Tramm, William T Tran, Jeroen Van Der Laak, Paul J Van Diest, Gregory E Verghese, Giuseppe Viale, Michael Vieth, Noorul Wahab, Thomas Walter, Yannick Waumans, Hannah Y Wen, Wentao Yang, Yinyin Yuan, Reena Md Zin, Sylvia Adams, John Bartlett, Sibylle Loibl, Carsten Denkert, Peter Savas, Sherene Loi, Roberto Salgado, Elisabeth Specht Stovgaard

Faculty, Staff and Student Publications

The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results. We review state-of-the-art approaches and identify pitfalls and challenges of automated TIL evaluation by studying the root cause of ML discordances in comparison to manual TIL quantification. …

Spatial Analyses Of Immune Cell Infiltration In Cancer: Current Methods And Future Directions: A Report Of The International Immuno-Oncology Biomarker Working Group On Breast Cancer, David B Page, Glenn Broeckx, Chowdhury Arif Jahangir, Sara Verbandt, Rajarsi R Gupta, Jeppe Thagaard, Reena Khiroya, Zuzana Kos, Khalid Abduljabbar, Gabriela Acosta Haab, Balazs Acs, Guray Akturk, Jonas S Almeida, Isabel Alvarado-Cabrero, Farid Azmoudeh-Ardalan, Sunil Badve, Nurkhairul Bariyah Baharun, Enrique R Bellolio, Vydehi Bheemaraju, Kim Rm Blenman, Luciana Botinelly Mendonça Fujimoto, Najat Bouchmaa, Octavio Burgues, Maggie Chon U Cheang, Francesco Ciompi, Lee Ad Cooper, An Coosemans, Germán Corredor, Flavio Luis Dantas Portela, Frederik Deman, Sandra Demaria, Sarah N Dudgeon, Mahmoud Elghazawy, Scott Ely, Claudio Fernandez-Martín, Susan Fineberg, Stephen B Fox, William M Gallagher, Jennifer M Giltnane, Sacha Gnjatic, Paula I Gonzalez-Ericsson, Anita Grigoriadis, Niels Halama, Matthew G Hanna, Aparna Harbhajanka, Alexandros Hardas, Steven N Hart, Johan Hartman, Stephen Hewitt, Akira I Hida, Hugo M Horlings, Zaheed Husain, Evangelos Hytopoulos, Sheeba Irshad, Emiel Am Janssen, Mohamed Kahila, Tatsuki R Kataoka, Kosuke Kawaguchi, Durga Kharidehal, Andrey I Khramtsov, Umay Kiraz, Pawan Kirtani, Liudmila L Kodach, Konstanty Korski, Anikó Kovács, Anne-Vibeke Laenkholm, Corinna Lang-Schwarz, Denis Larsimont, Jochen K Lennerz, Marvin Lerousseau, Xiaoxian Li, Amy Ly, Anant Madabhushi, Sai K Maley, Vidya Manur Narasimhamurthy, Douglas K Marks, Elizabeth S Mcdonald, Ravi Mehrotra, Stefan Michiels, Fayyaz Ul Amir Afsar Minhas, Shachi Mittal, David A Moore, Shamim Mushtaq, Hussain Nighat, Thomas Papathomas, Frederique Penault-Llorca, Rashindrie D Perera, Christopher J Pinard, Juan Carlos Pinto-Cardenas, Giancarlo Pruneri, Lajos Pusztai, Arman Rahman, Nasir Mahmood Rajpoot, Bernardo Leon Rapoport, Tilman T Rau, Jorge S Reis-Filho, Joana M Ribeiro, David Rimm, Anne Vincent-Salomon, Manuel Salto-Tellez, Joel Saltz, Shahin Sayed, Kalliopi P Siziopikou, Christos Sotiriou, Albrecht Stenzinger, Maher A Sughayer, Daniel Sur, Fraser Symmans, Sunao Tanaka, Timothy Taxter, Sabine Tejpar, Jonas Teuwen, E Aubrey Thompson, Trine Tramm, William T Tran, Jeroen Van Der Laak, Paul J Van Diest, Gregory E Verghese, Giuseppe Viale, Michael Vieth, Noorul Wahab, Thomas Walter, Yannick Waumans, Hannah Y Wen, Wentao Yang, Yinyin Yuan, Sylvia Adams, John Mark Seaverns Bartlett, Sibylle Loibl, Carsten Denkert, Peter Savas, Sherene Loi, Roberto Salgado, Elisabeth Specht Stovgaard

Faculty, Staff and Student Publications

Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described clinical …

Generative Pre-Trained Transformers (Gpt) And Space Health: A Potential Frontier In Astronaut Health During Exploration Missions, Ethan Waisberg, Joshua Ong, Mouayad Masalkhi, Nasif Zaman, Sharif Amit Kamran, Prithul Sarker, Andrew G Lee, Alireza Tavakkoli

Faculty, Staff and Student Publications

In anticipation of space exploration where astronauts are traveling away from Earth, and for longer durations with an increasing communication lag, artificial intelligence (AI) frameworks such as large language learning models (LLMs) that can be trained on Earth can provide real-time answers. This emerging technology may be helpful for acute medical emergencies, particularly in austere and distant space environments. In this manuscript, we provide an overview of generative pre-trained transformer (GPT) technology, a rapidly emerging AI technology, and implications, considerations, and limitations of such technology for space health.

Predictive Model Of Liver Toxicity To Aid The Personalized Selection Of Proton Versus Photon Therapy In Hepatocellular Carcinoma, Ibrahim Chamseddine, Yejin Kim, Brian De, Issam El Naqa, Dan G Duda, John A Wolfgang, Jennifer Pursley, Jennifer Y Wo, Theodore S Hong, Harald Paganetti, Eugene J Koay, Clemens Grassberger

Faculty, Staff and Student Publications

Purpose: Our objective was to develop an externally validated model for predicting liver toxicity after radiation therapy in patients with hepatocellular carcinoma (HCC) that can integrate both photon and proton dose distributions with patient-specific characteristics.

Methods and materials: Training data consisted of all patients with HCC treated between 2008 and 2019 at our institution (n = 117, 60%/40% photon/proton). We developed a shallow convolutional neural network (CNN) to predict posttreatment liver dysfunction from the differential dose-volume histogram (DVH) and baseline liver metrics. To reduce bias and improve robustness, we used ensemble learning (CNNE). After a preregistered study analysis plan, we …

Ultrasensitive Ngs Mrd Assessment In Ph+ All: Prognostic Impact And Correlation With Rt-Pcr For Bcr::Abl1, Nicholas J Short, Elias Jabbour, Walid Macaron, Farhad Ravandi, Nitin Jain, Rashmi Kanagal-Shamanna, Keyur P Patel, Sanam Loghavi, Fadi G Haddad, Musa Yilmaz, Ghayas C Issa, Partow Kebriaei, Steven M Kornblau, Sarah Pelletier, Wilmer Flores, Jairo Matthews, Rebecca Garris, Hagop Kantarjian

Faculty, Staff and Student Publications

Reverse transcription polymerase chain reaction (RT-PCR) for BCR::ABL1 is the most common and widely accepted method of measurable residual disease (MRD) assessment in Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph+ ALL); however, RT-PCR may not be an optimal measure of MRD in many cases of Ph+ ALL. We evaluated the clinical impact of a highly sensitive next-generation sequencing (NGS) MRD assay (sensitivity of 10-6 ) and its correlation with RT-PCR for BCR::ABL1 in patients with Ph+ ALL. Overall, 32% of patients had a discordance between MRD assessment by RT-PCR and NGS, and 31% of patients who achieved NGS MRD negativity were …

Ddx41 Mutations In Patients With Non-Myeloid Hematologic Neoplasms, Fatima Zahra Jelloul, Mark J Routbort, Courtney D Dinardo, Carlos E Bueso-Ramos, Rashmi Kanagal-Shamanna, Beenu Thakral, Zhuang Zuo, C Cameron Yin, Sanam Loghavi, Chi Young Ok, Sa A Wang, Zhenya Tang, M James You, Keyur P Patel, L Jeffrey Medeiros, Andrés E Quesada

Faculty, Staff and Student Publications

No abstract provided.

Artificial Mirnas Derived From Mir-181 Family Members Have Potential In Cancer Therapy Due To An Altered Spectrum Of Target Mrnas, Sergiu Chira, Cristina Ciocan, Cecilia Bica, George A Calin, Ioana Berindan-Neagoe

Faculty, Staff and Student Publications

miRNAs are a class of noncoding RNAs with gene regulation properties, and they function as key factors in cell homeostasis. The interaction of miRNAs with their target mRNAs is largely considered to rely on sequence complementarity; however, some evidence indicates that mature miRNAs can adopt diverse conformations with implications for their function. Using the oncogenic miR-181 family as a study model, we suggest that a potential relationship between the primary sequence and secondary structure of miRNAs may have an impact on the number and spectrum of targeted cellular transcripts. We further emphasize that specific alterations in miR-181 primary sequences might …

Rewiring Cancer Drivers To Activate Apoptosis, Sai Gourisankar, Andrey Krokhotin, Wenzhi Ji, Xiaofan Liu, Chiung-Ying Chang, Samuel H Kim, Zhengnian Li, Wendy Wenderski, Juste M Simanauskaite, Haopeng Yang, Hannes Vogel, Tinghu Zhang, Michael R Green, Nathanael S Gray, Gerald R Crabtree

Faculty, Staff and Student Publications

Genes that drive the proliferation, survival, invasion and metastasis of malignant cells have been identified for many human cancers1-4. Independent studies have identified cell death pathways that eliminate cells for the good of the organism5,6. The coexistence of cell death pathways with driver mutations suggests that the cancer driver could be rewired to activate cell death using chemical inducers of proximity (CIPs). Here we describe a new class of molecules called transcriptional/epigenetic CIPs (TCIPs) that recruit the endogenous cancer driver, or a downstream transcription factor, to the promoters of cell death genes, thereby activating their expression. We focused on diffuse …

Durable Control Of Metastases In An Hla-A2+ Patient With Refractory Melanoma After Low-Dose Radiotherapy In Combination With Mage-A4 T Cell Therapy: A Case Report, Kewen He, David S Hong, Danxia Ke, Partow Kebriaei, Tianjiao Wang, Hassan Danesi, Genevieve Bertolet, Carola Leuschner, Nahum Puebla-Osorio, Tiffany A Voss, Quan Lin, Elliot Norry, Paula M Fracasso, James W Welsh

Faculty, Staff and Student Publications

There is no currently approved adoptive cellular therapy for solid tumors. Pre-clinical and clinical studies have demonstrated that low-dose radiotherapy (LDRT) can enhance intratumoral T cell infiltration and efficacy. This case report describes a 71-year-old female patient with rectal mucosal melanoma that had developed metastases to liver, lung, mediastinum, axillary nodes, and brain. After systemic therapies had failed, she enrolled in the radiation sub-study of our phase-I clinical trial exploring the safety and efficacy of afamitresgene autoleucel (afami-cel), genetically engineered T cells with a T cell receptor (TCR) targeting the MAGE-A4 tumor antigen in patients with advanced malignancies (NCT03132922). Prior …

Statin Use And Chemoradiation In Esophageal Squamous Cell Carcinomas: Ready For Prime Time?, Steven H Lin

Faculty, Staff and Student Publications

No abstract provided.

Single-Cell Transcriptomic Analysis Uncovers Intratumoral Heterogeneity And Drug-Tolerant Persister In Alk-Rearranged Lung Adenocarcinoma, Hoi-Hin Kwok, Huiyu Li, Jiashuang Yang, Junyang Deng, Nerissa Chui-Mei Lee, Timmy Wing-Kuk Au, Alva Ko-Yung Sit, Michael Kuan-Yew Hsin, Stephanie Kwai-Yee Ma, Lydia Wai-Ting Cheung, Luc Girard, Junya Fujimoto, Ignacio Ivan Wistuba, Boning Gao, John Dorrance Minna, David Chi-Leung Lam

Faculty, Staff and Student Publications

No abstract provided.

Zeb1 Is Regulated By K811 Acetylation To Promote Stability, Nurd Complex Interactions, Emt, And Nsclc Metastasis, Mabel Perez-Oquendo, Roxsan Manshouri, Yanhua Tian, Jared J Fradette, B Leticia Rodriguez, Samrat T Kundu, Don L Gibbons

Faculty, Staff and Student Publications

Epithelial-to-mesenchymal transition results in loss of specialized epithelial cell contacts and acquisition of mesenchymal invasive capacity. The transcription repressor zinc finger E-box-binding homeobox 1 (ZEB1) binds to E-boxes of gene promoter regions to suppress the expression of epithelial genes. ZEB1 has inconsistent molecular weights, which have been attributed to posttranslational modifications (PTM). We performed mass spectrometry and identified K811 acetylation as a novel PTM in ZEB1. To define the role of ZEB1 acetylation in regulating function, we generated ZEB1 acetyl-mimetic (K811Q) and acetyl-deficient (K811R) mutant-expressing non-small cell lung cancer cell lines (NSCLC). We demonstrate that the K811R ZEB1 (125 kDa) …

Effective Methods For Bulk Rna-Seq Deconvolution Using Scnrna-Seq Transcriptomes, Francisco Avila Cobos, Mohammad Javad Najaf Panah, Jessica Epps, Xiaochen Long, Tsz-Kwong Man, Hua-Sheng Chiu, Elad Chomsky, Evgeny Kiner, Michael J Krueger, Diego Di Bernardo, Luis Voloch, Jan Molenaar, Sander R Van Hooff, Frank Westermann, Selina Jansky, Michele L Redell, Pieter Mestdagh, Pavel Sumazin

Faculty, Staff and Students Publications

Background: RNA profiling technologies at single-cell resolutions, including single-cell and single-nuclei RNA sequencing (scRNA-seq and snRNA-seq, scnRNA-seq for short), can help characterize the composition of tissues and reveal cells that influence key functions in both healthy and disease tissues. However, the use of these technologies is operationally challenging because of high costs and stringent sample-collection requirements. Computational deconvolution methods that infer the composition of bulk-profiled samples using scnRNA-seq-characterized cell types can broaden scnRNA-seq applications, but their effectiveness remains controversial.

Results: We produced the first systematic evaluation of deconvolution methods on datasets with either known or scnRNA-seq-estimated compositions. Our analyses revealed …

Islet: Individual-Specific Reference Panel Recovery Improves Cell-Type-Specific Inference, Hao Feng, Guanqun Meng, Tong Lin, Hemang Parikh, Yue Pan, Ziyi Li, Jeffrey Krischer, Qian Li

Faculty, Staff and Student Publications

We propose a statistical framework ISLET to infer individual-specific and cell-type-specific transcriptome reference panels. ISLET models the repeatedly measured bulk gene expression data, to optimize the usage of shared information within each subject. ISLET is the first available method to achieve individual-specific reference estimation in repeated samples. Using simulation studies, we show outstanding performance of ISLET in the reference estimation and downstream cell-type-specific differentially expressed genes testing. We apply ISLET to longitudinal transcriptomes profiled from blood samples in a large observational study of young children and confirm the cell-type-specific gene signatures for pancreatic islet autoantibody. ISLET is available at https://bioconductor.org/packages/ISLET …

Dual Targeting Of Cdk4/6 And Bcl-2 Exhibits A Potent Antitumor Effect On Mantle Cell Lymphoma, Yuxuan Che, Yang Liu, Yijing Li, Joseph M Mcintosh, Alexa Jordan, Fangfang Yan, Wei Wang, Lei Nie, Heng-Huan Lee, Jingling Jin, Yixin Yao, Zhongming Zhao, Vivian Changying Jiang, Michael Wang

Faculty, Staff and Student Publications

No abstract provided.

Asian Americans In Stem Are Not A Monolith, Zer Vue, Chia Vang, Neng Vue, Vijayvardhan Kamalumpundi, Taylor Barongan, Bryanna Shao, Sunny Huang, Larry Vang, Mein Vue, Nancy Vang, Jianqiang Shao, Coohleenann Coombes, Prasanna Katti, Kaihua Liu, Kailee Yoshimura, Michelle Biete, Dao-Fu Dai, Mark A Phillips, Richard R Behringer

Faculty, Staff and Student Publications

Despite tremendous diversity, Asian Americans in STEM are grouped and viewed as a homogeneous monolith, facing stereotypes and disparities. We propose solutions that include disaggregating the Asian American grouping and recognizing the diverse individual ethnic subgroups that comprise Americans of Asian ancestry to implement change within the STEM field.

Metastatic Infiltration Of Nervous Tissue And Periosteal Nerve Sprouting In Multiple Myeloma-Induced Bone Pain In Mice And Human, Marta Diaz-Delcastillo, Oana Palasca, Tim T Nemler, Didde M Thygesen, Norma A Chávez-Saldaña, Juan A Vázquez-Mora, Lizeth Y Ponce Gomez, Lars Juhl Jensen, Holly Evans, Rebecca E Andrews, Aritri Mandal, David Neves, Patrick Mehlen, James P Caruso, Patrick M Dougherty, Theodore J Price, Andrew Chantry, Michelle A Lawson, Thomas L Andersen, Juan M Jimenez-Andrade, Anne-Marie Heegaard

Faculty, Staff and Student Publications

Multiple myeloma (MM) is a neoplasia of B plasma cells that often induces bone pain. However, the mechanisms underlying myeloma-induced bone pain (MIBP) are mostly unknown. Using a syngeneic MM mouse model, we show that periosteal nerve sprouting of calcitonin gene-related peptide (CGRP+) and growth associated protein 43 (GAP43+) fibers occurs concurrent to the onset of nociception and its blockade provides transient pain relief. MM patient samples also showed increased periosteal innervation. Mechanistically, we investigated MM induced gene expression changes in the dorsal root ganglia (DRG) innervating the MM-bearing bone of male mice and found alterations in pathways associated with …

Impact Of Mir196a-2 Genotypes On Colorectal Cancer Risk In Taiwan, Te-Cheng Yueh, Yun-Chi Wang, Yu-Ting Chin, Yi-Chih Hung, Mei-Chin Mong, Ya-Chen Yang, Jen-Sheng Pei, Jian Gu, Chia-Wen Tsai, Da-Tian Bau, Wen-Shin Chang

Faculty, Staff and Student Publications

We aimed to investigate the association between genotypes for

Phase 1b Study Of Combined Selinexor And Eribulin For The Treatment Of Advanced Solid Tumors And Triple-Negative Breast Cancer, Blessie Elizabeth Nelson, Sadia Saleem, Senthil Damodaran, Neeta Somaiah, Sarina Piha-Paul, Julia Ann Moore, Bulent Yilmaz, Deby Ogbonna, Daniel D Karp, Ecaterina Dumbrava, Apostolia M Tsimberidou, David S Hong, Jordi Rodon Ahnert, Denái R Milton, Xiaofeng Zheng, Daniel J Booser, Nuhad K Ibrahim, Anthony P Conley, Priya Bhosale, Cristhiam M Rojas Hernandez, Debasish Tripathy, Aung Naing, Funda Meric-Bernstam

Faculty, Staff and Student Publications

BACKGROUND: Selinexor (KPT-330) is a potent inhibitor of exportin 1 (XPO1), in turn inhibiting tumor growth. Selinexor enhances the antitumor efficacy of eribulin in triple-negative breast cancer (TNBC) in vitro and in vivo. Given the unmet medical need in TNBC and sarcoma, the authors explored the safety and efficacy of this combination.

METHODS: The authors conducted a phase 1b trial of combined selinexor and eribulin using a 3 + 3 dose-escalation design in patients who had advanced solid tumors and in those who had TNBC in a dose-expansion cohort.

RESULTS: Patients with TNBC (N = 19), sarcoma (N = 9), …

Unique Transcriptional Profiles Underlie Osteosarcomagenesis Driven By Different P53 Mutants, Dhruv Chachad, Lalit R Patel, Carlos Vera Recio, Rasoul Pourebrahim, Elizabeth M Whitley, Wenyi Wang, Xiaoping Su, An Xu, Dung-Fang Lee, Guillermina Lozano

Faculty, Staff and Student Publications

Missense mutations in the DNA binding domain of p53 are characterized as structural or contact mutations based on their effect on the conformation of the protein. These mutations show gain-of-function (GOF) activities, such as promoting increased metastatic incidence compared with p53 loss, often mediated by the interaction of mutant p53 with a set of transcription factors. These interactions are largely context specific. To understand the mechanisms by which p53 DNA binding domain mutations drive osteosarcoma progression, we created mouse models, in which either the p53 structural mutant p53R172H or the contact mutant p53R245W are expressed specifically in osteoblasts, yielding osteosarcoma …

Mettl3-Mediated M6a Modification Of Linc00839 Maintains Glioma Stem Cells And Radiation Resistance By Activating Wnt/Β-Catenin Signaling, Jianxing Yin, Fangshu Ding, Zhangchun Cheng, Xin Ge, Yanhui Li, Ailiang Zeng, Junxia Zhang, Wei Yan, Zhumei Shi, Xu Qian, Yongping You, Zhiliang Ding, Jing Ji, Xiefeng Wang

Faculty, Staff and Student Publications

Long noncoding RNAs (lncRNAs) are involved in glioma initiation and progression. Glioma stem cells (GSCs) are essential for tumor initiation, maintenance, and therapeutic resistance. However, the biological functions and underlying mechanisms of lncRNAs in GSCs remain poorly understood. Here, we identified that LINC00839 was overexpressed in GSCs. A high level of LINC00839 was associated with GBM progression and radiation resistance. METTL3-mediated m6A modification on LINC00839 enhanced its expression in a YTHDF2-dependent manner. Mechanistically, LINC00839 functioned as a scaffold promoting c-Src-mediated phosphorylation of β-catenin, thereby inducing Wnt/β-catenin activation. Combinational use of celecoxib, an inhibitor of Wnt/β-catenin signaling, greatly sensitized GSCs to …

Brentuximab Vedotin After Autologous Transplantation In Pediatric Patients With Relapsed/Refractory Hodgkin Lymphoma, Christopher J Forlenza, Jaclyn Rosenzweig, Audrey Mauguen, Ilia Buhtoiarov, Branko Cuglievan, Hema Dave, Rebecca J Deyell, Jamie E Flerlage, Anna K Franklin, Jennifer Krajewski, Kasey J Leger, Lianna J Marks, Robin E Norris, Martha Pacheco, Faye Willen, Adam Paul Yan, Paul D Harker-Murray, Lisa Giulino-Roth

Faculty, Staff and Student Publications

Outcomes for children and adolescents with relapsed and refractory Hodgkin lymphoma (HL) are poor, with ∼50% of patients experiencing a subsequent relapse. The anti-CD30 antibody-drug conjugate brentuximab vedotin improved progression-free survival (PFS) when used as consolidation after autologous stem cell transplantation (ASCT) in adults with high-risk relapsed/refractory HL. Data on brentuximab vedotin as consolidative therapy after ASCT in pediatric patients with HL are extremely limited, with data of only 11 patients reported in the literature. We performed a retrospective analysis of 67 pediatric patients who received brentuximab vedotin as consolidation therapy after ASCT for the treatment of relapsed/refractory HL to …

Propensity Score Analysis With Local Balance, Yan Li, Liang Li

Faculty, Staff and Student Publications

Most propensity score (PS) analysis methods rely on a correctly specified parametric PS model, which may result in biased estimation of the average treatment effect (ATE) when the model is misspecified. More flexible nonparametric models for treatment assignment alleviate this issue, but they do not always guarantee covariate balance. Methods that force balance in the means of covariates and their transformations between the treatment groups, termed global balance in this article, do not always lead to unbiased estimation of ATE. Their estimated propensity scores only ensure global balance but not the balancing property, which is defined as the conditional independence …

Accumulation Of Chronic Disease Among Survivors Of Childhood Cancer Predicts Early Mortality, Adam J Esbenshade, Lu Lu, Debra L Friedman, Kevin C Oeffinger, Gregory T Armstrong, Kevin R Krull, Joseph P Neglia, Wendy M Leisenring, Rebecca Howell, Robyn Partin, Amy Sketch, Leslie L Robison, Kirsten K Ness

Faculty, Staff and Student Publications

Purpose: Cancer survivors develop cancer and treatment-related morbidities at younger than normal ages and are at risk for early mortality, suggestive of an aging phenotype. The Cumulative Illness Rating Scale for Geriatrics (CIRS-G) is specifically designed to describe the accumulation of comorbidities over time with estimates of severity such as total score (TS) which is a sum of possible conditions weighted by severity. These severity scores can then be used to predict future mortality.

Methods: CIRS-G scores were calculated in cancer survivors and their siblings from Childhood Cancer Survivor Study cohort members from two time points 19 years apart and …

Feasibility And Safety Of Personalized, Multi-Target, Adoptive Cell Therapy (Ima101): First-In-Human Clinical Trial In Patients With Advanced Metastatic Cancer, Apostolia M Tsimberidou, Kerstin Guenther, Borje S Andersson, Regina Mendrzyk, Amir Alpert, Claudia Wagner, Anna Nowak, Katrin Aslan, Arun Satelli, Fabian Richter, Sabrina Kuttruff-Coqui, Oliver Schoor, Jens Fritsche, Zoe Coughlin, Ali S Mohamed, Kerry Sieger, Becky Norris, Rita Ort, Jennifer Beck, Henry Hiep Vo, Franziska Hoffgaard, Manuel Ruh, Linus Backert, Ignacio I Wistuba, David Fuhrmann, Nuhad K Ibrahim, Van Karlyle Morris, Bryan K Kee, Daniel M Halperin, Graciela M Nogueras-Gonzalez, Partow Kebriaei, Elizabeth J Shpall, David Vining, Patrick Hwu, Harpreet Singh, Carsten Reinhardt, Cedrik M Britten, Norbert Hilf, Toni Weinschenk, Dominik Maurer, Steffen Walter

Faculty, Staff and Student Publications

IMA101 is an actively personalized, multi-targeted adoptive cell therapy (ACT), whereby autologous T cells are directed against multiple novel defined peptide-HLA (pHLA) cancer targets. HLA-A*02:01-positive patients with relapsed/refractory solid tumors expressing ≥1 of 8 predefined targets underwent leukapheresis. Endogenous T cells specific for up to 4 targets were primed and expanded in vitro. Patients received lymphodepletion (fludarabine, cyclophosphamide), followed by T-cell infusion and low-dose IL2 (Cohort 1). Patients in Cohort 2 received atezolizumab for up to 1 year (NCT02876510). Overall, 214 patients were screened, 15 received lymphodepletion (13 women, 2 men; median age, 44 years), and 14 were treated with …