Genetic Phenomena Commons^™

Cross-Dataset Single-Cell Analysis Identifies Temporal Alterations In Cell Populations Of Primary Pancreatic Tumor And Liver Metastasis, Daowei Yang, Rohan Moniruzzaman, Hua Wang, Huamin Wang, Yang Chen

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) has a unique tumor microenvironment composed of various cell populations such as cancer cells, cancer-associated fibroblasts (CAFs), immune cells, and endothelial cells. Recently, single-cell RNA-sequencing analysis (scRNA-seq) has systemically revealed the genomic profiles of these cell populations in PDAC. However, the direct comparison of cell population composition and genomic profile between primary tumors (at both early- and late-stage) and metastatic tumors of PDAC is still lacking. In this study, we combined and analyzed recent scRNA-seq datasets of transgenic KPC mouse models with autochthonous PDAC and matched liver metastasis, revealing the unique tumor ecosystem and cell composition …

Identifying Signatures Of Ev Secretion In Metastatic Breast Cancer Through Functional Single-Cell Profiling, Mohsen Fathi, Melisa Martinez-Paniagua, Ali Rezvan, Melisa J Montalvo, Vakul Mohanty, Ken Chen, Sendurai A Mani, Navin Varadarajan

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) regulate the tumor microenvironment by facilitating transport of biomolecules. Despite extensive investigation, heterogeneity in EV secretion among cancer cells and the mechanisms that support EV secretion are not well characterized. We developed an integrated method to identify individual cells with differences in EV secretion and performed linked single-cell RNA-sequencing on cloned single cells from the metastatic breast cancer cells. Differential gene expression analyses identified a four-gene signature of breast cancer EV secretion: HSP90AA1, HSPH1, EIF5, and DIAPH3. We functionally validated this gene signature by testing it across cell lines with different metastatic potential …

Development And Validation Of A Prediction Model For Kidney Failure In Long-Term Survivors Of Childhood Cancer, Natalie L Wu, Yan Chen, Bryan V Dieffenbach, Matthew J Ehrhardt, Sangeeta Hingorani, Rebecca M Howell, John L Jefferies, Daniel A Mulrooney, Kevin C Oeffinger, Leslie L Robison, Brent R Weil, Yan Yuan, Yutaka Yasui, Melissa M Hudson, Wendy M Leisenring, Gregory T Armstrong, Eric J Chow

Faculty, Staff and Student Publications

Purpose: Kidney failure is a rare but serious late effect following treatment for childhood cancer. We developed a model using demographic and treatment characteristics to predict individual risk of kidney failure among 5-year survivors of childhood cancer.

Methods: Five-year survivors from the Childhood Cancer Survivor Study (CCSS) without history of kidney failure (n = 25,483) were assessed for subsequent kidney failure (ie, dialysis, kidney transplantation, or kidney-related death) by age 40 years. Outcomes were identified by self-report and linkage with the Organ Procurement and Transplantation Network and the National Death Index. A sibling cohort (n = 5,045) served as a …

Development And Characterization Of Inducible Astrocyte-Specific Aromatase Knockout Mice, Jing Wang, Uday P Pratap, Yujiao Lu, Gangadhara R Sareddy, Rajeshwar R Tekmal, Ratna K Vadlamudi, Darrell W Brann

Faculty, Staff and Student Publications

17β-estradiol (E2) is produced in the brain as a neurosteroid, in addition to being an endocrine signal in the periphery. The current animal models for studying brain-derived E2 include global and conditional non-inducible knockout mouse models. The aim of this study was to develop a tamoxifen (TMX)-inducible astrocyte-specific aromatase knockout mouse line (GFAP-ARO-iKO mice) to specifically deplete the E2 synthesis enzymes and aromatase in astrocytes after their development in adult mice. The characterization of the GFAP-ARO-iKO mice revealed a specific and robust depletion in the aromatase expressions of their astrocytes and a significant decrease in their hippocampal E2 levels after …

Assessment And Prediction Of Glioblastoma Therapy Response: Challenges And Opportunities, Dan Qi, Jing Li, C Chad Quarles, Ekokobe Fonkem, Erxi Wu

Faculty, Staff and Student Publications

Glioblastoma is the most aggressive type of primary adult brain tumour. The median survival of patients with glioblastoma remains approximately 15 months, and the 5-year survival rate is < 10%. Current treatment options are limited, and the standard of care has remained relatively constant since 2011. Over the last decade, a range of different treatment regimens have been investigated with very limited success. Tumour recurrence is almost inevitable with the current treatment strategies, as glioblastoma tumours are highly heterogeneous and invasive. Additionally, another challenging issue facing patients with glioblastoma is how to distinguish between tumour progression and treatment effects, especially when relying on routine diagnostic imaging techniques in the clinic. The specificity of routine imaging for identifying tumour progression early or in a timely manner is poor due to the appearance similarity of post-treatment effects. Here, we concisely describe the current status and challenges in the assessment and early prediction of therapy response and the early detection of tumour progression or recurrence. We also summarize and discuss studies of advanced approaches such as quantitative imaging, liquid biomarker discovery and machine intelligence that hold exceptional potential to aid in the therapy monitoring of this malignancy and early prediction of therapy response, which may decisively transform the conventional detection methods in the era of precision medicine.

The Non-Coding Rna Journal Club: Highlights On Recent Papers—12, Patrick K T Shiu, Mirolyuba Ilieva, Anja Holm, Shizuka Uchida, Johanna K Distefano, Agnieszka Bronisz, Ling Yang, Yoh Asahi, Ajay Goel, Liuqing Yang, Ashok Nuthanakanti, Alexander Serganov, Suresh K Alahari, Chunru Lin, Barbara Pardini, Alessio Naccarati, Jing Jin, Beshoy Armanios, Xiao-Bo Zhong, Nikolaos Sideris, Salih Bayraktar, Leandro Castellano, André P Gerber, He Lin, Simon J Conn, Doha Magdy Mostafa Sleem, Lisa Timmons

Faculty, Staff and Student Publications

We are delighted to share with you our twelfth Journal Club and highlight some of the most interesting papers published recently [...].

Phase I Study Of Sapanisertib With Carboplatin And Paclitaxel In Mtor Pathway Altered Solid Malignancies, Omar Alhalabi, Roman Groisberg, Ralph Zinner, Andrew W Hahn, Aung Naing, Shizhen Zhang, Apostolia M Tsimberidou, Jordi Rodon, Siqing Fu, Timothy A Yap, David S Hong, Ming Sun, Yunfang Jiang, Shubham Pant, Amishi Y Shah, Amado Zurita, Nizar M Tannir, Raghunandan Vikram, Jason Roszik, Funda Meric-Bernstam, Vivek Subbiah

Faculty, Staff and Student Publications

Pre-clinically, the mTORC1/2 inhibitor sapanisertib restored sensitivity to platinums and enhanced paclitaxel-induced cancer cell killing. NCT03430882 enrolled patients with mTOR pathway aberrant tumors to receive sapanisertib, carboplatin and paclitaxel. Primary objective was safety and secondary objectives were clinical response and survival. One patient had a dose-limiting toxicity at dose level 4. There were no unanticipated toxicities. Grade 3-4 treatment-related adverse events included anemia (21%), neutropenia (21%), thrombocytopenia (10.5%), and transaminitis (5%). Of 17 patients evaluable for response, 2 and 11 patients achieved partial response and stable disease, respectively. Responders included a patient with unclassified renal cell carcinoma harboring EWSR1-POU5F1 fusion …

Distinct Astrocytic Modulatory Roles In Sensory Transmission During Sleep, Wakefulness, And Arousal States In Freely Moving Mice, Fushun Wang, Wei Wang, Simeng Gu, Dan Qi, Nathan A Smith, Weiguo Peng, Wei Dong, Jiajin Yuan, Binbin Zhao, Ying Mao, Peng Cao, Qing Richard Lu, Lee A Shapiro, S Stephen Yi, Erxi Wu, Jason H Huang

Faculty, Staff and Student Publications

Despite extensive research on astrocytic Ca2+ in synaptic transmission, its contribution to the modulation of sensory transmission during different brain states remains largely unknown. Here, by using two-photon microscopy and whole-cell recordings, we show two distinct astrocytic Ca2+ signals in the murine barrel cortex: a small, long-lasting Ca2+ increase during sleep and a large, widespread but short-lasting Ca2+ spike when aroused. The large Ca2+ wave in aroused mice was inositol trisphosphate (IP3)-dependent, evoked by the locus coeruleus-norepinephrine system, and enhanced sensory input, contributing to reliable sensory transmission. However, the small Ca2+ transient was IP3-independent and contributed to decreased extracellular K+, …

Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images, Zhuoyu Wen, Yu-Hsuan Lin, Shidan Wang, Naoto Fujiwara, Ruichen Rong, Kevin W Jin, Donghan M Yang, Bo Yao, Shengjie Yang, Tao Wang, Yang Xie, Yujin Hoshida, Hao Zhu, Guanghua Xiao

Faculty, Staff and Student Publications

Polyploidy, the duplication of the entire genome within a single cell, is a significant characteristic of cells in many tissues, including the liver. The quantification of hepatic ploidy typically relies on flow cytometry and immunofluorescence (IF) imaging, which are not widely available in clinical settings due to high financial and time costs. To improve accessibility for clinical samples, we developed a computational algorithm to quantify hepatic ploidy using hematoxylin-eosin (H&E) histopathology images, which are commonly obtained during routine clinical practice. Our algorithm uses a deep learning model to first segment and classify different types of cell nuclei in H&E images. …

Molecular Disparity Of Hla-Dpb1 Is Associated With The Development Of Subsequent Solid Cancer After Allogeneic Hematopoietic Stem Cell Transplantation, Jun Zou, Piyanuch Kongtim, Betül Oran, Samer A Srour, Uri Greenbaum, Yudith Carmazzi, Gabriela Rondon, Stefan O Ciurea, Qing Ma, Elizabeth J Shpall, Richard E Champlin, Kai Cao

Faculty, Staff and Student Publications

Background: An increased incidence of subsequent solid cancers (SSCs) has been reported in long-term survivors of allogeneic hematopoietic stem cell transplantation (allo-HSCT), and SSC is associated with inferior mortality and morbidity. Previous studies showed that the incidence of SSC is significantly higher in those who underwent allo-HSCT from HLA-mismatched donors, suggesting that persistent alloimmunity may predispose patients to SSCs. It was recently reported that, in a cohort of patients who received allo-HSCT from an unrelated donor matched at HLA-A, -B, -C, -DRB1/3/4/5, and -DQB1 loci, HLA-DPB1 alloimmunity determined by high mismatched eplets (MEs) and Predicted Indirectly Recognizable HLA Epitopes (PIRCHE) …

Bayesian Adaptive Model Selection Design For Optimal Biological Dose Finding In Phase I/Ii Clinical Trials, Ruitao Lin, Guosheng Yin, Haolun Shi

Faculty, Staff and Student Publications

Identification of the optimal dose presents a major challenge in drug development with molecularly targeted agents, immunotherapy, as well as chimeric antigen receptor T-cell treatments. By casting dose finding as a Bayesian model selection problem, we propose an adaptive design by simultaneously incorporating the toxicity and efficacy outcomes to select the optimal biological dose (OBD) in phase I/II clinical trials. Without imposing any parametric assumption or shape constraint on the underlying dose-response curves, we specify curve-free models for both the toxicity and efficacy endpoints to determine the OBD. By integrating the observed data across all dose levels, the proposed design …

The Abscopal Effect In Patients With Cancer Receiving Immunotherapy, Blessie Elizabeth Nelson, Jacob J Adashek, Steven H Lin, Vivek Subbiah

Faculty, Staff and Student Publications

Interest in the abscopal effect has been rekindled over the past decade with the advent of immunotherapy. Although purportedly elusive, this phenomenon is being increasingly reported. Venturing further using a multimodality approach with an array of systemic agents and unconventional modalities is direly needed. In this perspective, we describe the fundamentals of abscopal responses (ARs), explore combinations with systemic therapies that hold promise in eliciting ARs, and reconnoiter unconventional modalities that may induce ARs. Finally, we scrutinize prospective agents and modalities that exhibit preclinical ability to elicit ARs and discuss prognostic biomarkers, their limitations, and pathways of abscopal resistance for …

Antibody-Drug Conjugates For Multiple Myeloma: Just The Beginning, Or The Beginning Of The End?, Upasana Ray, Robert Z Orlowski

Faculty, Staff and Student Publications

Multiple myeloma is a malignancy of immunoglobulin-secreting plasma cells that is now often treated in the newly diagnosed and relapsed and/or refractory settings with monoclonal antibodies targeting lineage-specific markers used either alone or in rationally designed combination regimens. Among these are the anti-CD38 antibodies daratumumab and isatuximab, and the anti-Signaling lymphocytic activation molecule family member 7 antibody elotuzumab, all of which are used in their unconjugated formats. Single-chain variable fragments from antibodies also form a key element of the chimeric antigen receptors (CARs) in the B-cell maturation antigen (BCMA)-targeted CAR T-cell products idecabtagene vicleucel and ciltacabtagene autoleucel, which are approved …

Antibody-Drug Conjugates For Multiple Myeloma: Just The Beginning, Or The Beginning Of The End?, Upasana Ray, Robert Z Orlowski

Faculty, Staff and Student Publications

Multiple myeloma is a malignancy of immunoglobulin-secreting plasma cells that is now often treated in the newly diagnosed and relapsed and/or refractory settings with monoclonal antibodies targeting lineage-specific markers used either alone or in rationally designed combination regimens. Among these are the anti-CD38 antibodies daratumumab and isatuximab, and the anti-Signaling lymphocytic activation molecule family member 7 antibody elotuzumab, all of which are used in their unconjugated formats. Single-chain variable fragments from antibodies also form a key element of the chimeric antigen receptors (CARs) in the B-cell maturation antigen (BCMA)-targeted CAR T-cell products idecabtagene vicleucel and ciltacabtagene autoleucel, which are approved …

Feature Selection For Support Vector Regression Using A Genetic Algorithm, Shannon B Mckearnan, David M Vock, G Elisabeta Marai, Guadalupe Canahuate, Clifton D Fuller, Julian Wolfson

Faculty, Staff and Student Publications

Support vector regression (SVR) is particularly beneficial when the outcome and predictors are nonlinearly related. However, when many covariates are available, the method's flexibility can lead to overfitting and an overall loss in predictive accuracy. To overcome this drawback, we develop a feature selection method for SVR based on a genetic algorithm that iteratively searches across potential subsets of covariates to find those that yield the best performance according to a user-defined fitness function. We evaluate the performance of our feature selection method for SVR, comparing it to alternate methods including LASSO and random forest, in a simulation study. We …

Mmp9 Clears The Way For Metastatic Cell Penetration Across The Blood-Brain Barrier, Joseph H Mccarty

Faculty, Staff and Student Publications

Although brain metastases are 10-fold more prevalent than primary brain cancers, relatively little is understood about the genes and pathways that promote metastatic cell entry, growth, and survival in the brain. Hence, determining how metastatic tumors colonize the brain and thrive within the neural microenvironment is a topic of both fundamental importance and direct clinical relevance. In this issue, a report by Karreman and colleagues explores pathways that are exploited by metastatic tumor cells to arrest in the circulation, cross the endothelial blood-brain barrier (BBB), and thrive in the brain microenvironment. The authors used elegant imaging tools including intravital fluorescence …

Antibody-Drug Conjugates For Multiple Myeloma: Just The Beginning, Or The Beginning Of The End?, Upasana Ray, Robert Z Orlowski

Faculty, Staff and Student Publications

Multiple myeloma is a malignancy of immunoglobulin-secreting plasma cells that is now often treated in the newly diagnosed and relapsed and/or refractory settings with monoclonal antibodies targeting lineage-specific markers used either alone or in rationally designed combination regimens. Among these are the anti-CD38 antibodies daratumumab and isatuximab, and the anti-Signaling lymphocytic activation molecule family member 7 antibody elotuzumab, all of which are used in their unconjugated formats. Single-chain variable fragments from antibodies also form a key element of the chimeric antigen receptors (CARs) in the B-cell maturation antigen (BCMA)-targeted CAR T-cell products idecabtagene vicleucel and ciltacabtagene autoleucel, which are approved …

Pancreatic Cancer: Advances And Challenges, Christopher J Halbrook, Costas A Lyssiotis, Marina Pasca Di Magliano, Anirban Maitra

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest cancers. Significant efforts have largely defined major genetic factors driving PDAC pathogenesis and progression. Pancreatic tumors are characterized by a complex microenvironment that orchestrates metabolic alterations and supports a milieu of interactions among various cell types within this niche. In this review, we highlight the foundational studies that have driven our understanding of these processes. We further discuss the recent technological advances that continue to expand our understanding of PDAC complexity. We posit that the clinical translation of these research endeavors will enhance the currently dismal survival rate of this recalcitrant …

Immune Checkpoint Therapy-Current Perspectives And Future Directions, Padmanee Sharma, Sangeeta Goswami, Deblina Raychaudhuri, Bilal A Siddiqui, Pratishtha Singh, Ashwat Nagarajan, Jielin Liu, Sumit K Subudhi, Candice Poon, Kristal L Gant, Shelley M Herbrich, Swetha Anandhan, Shajedul Islam, Moran Amit, Gayathri Anandappa, James P Allison

Faculty, Staff and Student Publications

Immune checkpoint therapy (ICT) has dramatically altered clinical outcomes for cancer patients and conferred durable clinical benefits, including cure in a subset of patients. Varying response rates across tumor types and the need for predictive biomarkers to optimize patient selection to maximize efficacy and minimize toxicities prompted efforts to unravel immune and non-immune factors regulating the responses to ICT. This review highlights the biology of anti-tumor immunity underlying response and resistance to ICT, discusses efforts to address the current challenges with ICT, and outlines strategies to guide the development of subsequent clinical trials and combinatorial efforts with ICT.

Hypoxia Increases Atx Expression By Histone Crotonylation In A Hif-2Α-Dependent Manner, Mengxia Qu, Yang Long, Yuqin Wang, Nan Yin, Xiaotian Zhang, Junjie Zhang

Faculty, Staff and Student Publications

Autotaxin (ATX), the key enzyme that generates lysophosphatidic acid (LPA) from lysophosphatidylcholine (LPC), is involved in tumorigenesis through the ATX-LPA axis and is regarded as a valuable target in tumor therapy. Hypoxia is a major feature of solid tumors and contributes to tumor development with striking alterations in the gene expression profile. Here, we show that hypoxia induces ATX expression in a hypoxia-inducible factor (HIF) 2α-dependent fashion in human colon cancer SW480 cells. HIF-2α is directly bound to specific hypoxia response elements (HREs) in the ATX promoter. Under hypoxic conditions, knockout or inhibition of ATX suppressed the migration of SW480 …

Mutation-Agnostic Detection Of Colorectal Cancer Using Liquid Biopsy-Based Methylation-Specific Signatures, Mohamed A Gouda, Dzifa Y Duose, Morten Lapin, Stephanie Zalles, Helen J Huang, Yuanxin Xi, Xiaofeng Zheng, Amira I Aldesoky, Alshimaa M Alhanafy, Mohamed A Shehata, Jing Wang, Scott Kopetz, Funda Meric-Bernstam, Ignacio I Wistuba, Rajyalakshmi Luthra, Filip Janku

Faculty, Staff and Student Publications

Detection of methylation patterns in circulating tumor DNA (ctDNA) can offer a novel approach for cancer diagnostics given the unique signature for each tumor type. We developed a next-generation sequencing (NGS)-based assay targeting 32 CpG sites to detect colorectal cancer-specific ctDNA. NGS was performed on bisulfite-converted libraries and status dichotomization was done using median methylation ratios at all targets. We included plasma samples from patients with metastatic colorectal (n = 20) and non-colorectal cancers (n = 8); and healthy volunteers (n = 4). Median methylation ratio was higher in colorectal cancer compared with non-colorectal cancers (P = .001) and normal …

A Distinct Pattern Of Growth And Rac1 Signaling In Melanoma Brain Metastasis Cells, Ioana Stejerean-Todoran, Phyllis A Gimotty, Andrea Watters, Patricia Brafford, Clemens Krepler, Tetiana Godok, Haiyin Li, Zuriñe Bonilla Del Rio, Anke Zieseniss, Dörthe M Katschinski, Sinem M Sertel, Silvio O Rizzoli, Bradley Garman, Katherine L Nathanson, Xiaowei Xu, Qing Chen, Jack H Oswald, Michal Lotem, Gordon B Mills, Michael A Davies, Michael P Schön, Ivan Bogeski, Meenhard Herlyn, Adina Vultur

Faculty, Staff and Student Publications

Background: Melanoma, the deadliest of skin cancers, has a high propensity to form brain metastases that are associated with a markedly worsened prognosis. In spite of recent therapeutic advances, melanoma brain lesions remain a clinical challenge, biomarkers predicting brain dissemination are not clear and differences with other metastatic sites are poorly understood.

Methods: We examined a genetically diverse panel of human-derived melanoma brain metastasis (MBM) and extracranial cell lines using targeted sequencing, a Reverse Phase Protein Array, protein expression analyses, and functional studies in vitro and in vivo.

Results: Brain-specific genetic alterations were not detected; however, MBM cells in vitro …

An Expedited Strategy For Accurate And Timely Integrated Molecular Diagnosis Of Gliomas, Timothy A Gregory, Garret L Williford, Jacob M Maronge, Kristin Alfaro, Gregory N Fuller, John De Groot, Vinay K Puduvalli, Leomar Y Ballester, Nazanin K Majd

Faculty, Staff and Student Publications

No abstract provided.

Longitudinal Global Transcriptomic Profiling Of Preclinical Systemic Sclerosis Reveals Molecular Changes Associated With Disease Progression, Chiara Bellocchi, Lorenzo Beretta, Xuan Wang, Marka A Lyons, Maurizio Marchini, Maurizio Lorini, Vincenzo Carbonelli, Nicola Montano, Shervin Assassi

Faculty, Staff and Student Publications

Objective: To investigate peripheral blood cell (PBCs) global gene expression profile of SSc at its preclinical stage (PreSSc) and to characterize the molecular changes associated with progression to a definite disease over time.

Material and methods: Clinical data and PBCs of 33 participants with PreSSc and 16 healthy controls (HCs) were collected at baseline and follow-up (mean 4.2 years). Global gene expression profiling was conducted by RNA sequencing and a modular analysis was performed.

Results: Comparison of baseline PreSSc to HCs revealed 2889 differentially expressed genes. Interferon signalling was the only activated pathway among top over-represented pathways. Moreover, 10 modules …

A Deep-Learning-Based Dose Verification Tool Utilizing Fluence Maps For A Cobalt-60 Compensator-Based Intensity-Modulated Radiation Therapy System, Kyuhak Oh, Mary P Gronberg, Tucker J Netherton, Bishwambhar Sengupta, Carlos E Cardenas, Laurence E Court, Eric C Ford

Faculty, Staff and Student Publications

Background and purpose: A novel cobalt-60 compensator-based intensity-modulated radiation therapy (IMRT) system was developed for a resource-limited environment but lacked an efficient dose verification algorithm. The aim of this study was to develop a deep-learning-based dose verification algorithm for accurate and rapid dose predictions.

Materials and methods: A deep-learning network was employed to predict the doses from static fields related to beam commissioning. Inputs were a cube-shaped phantom, a beam binary mask, and an intersecting volume of the phantom and beam binary mask, while output was a 3-dimensional (3D) dose. The same network was extended to predict patient-specific doses for …

Prediction Of Survival With Lower Intensity Therapy Among Older Patients With Acute Myeloid Leukemia, Koji Sasaki, Farhad Ravandi, Tapan M Kadia, Gautam Borthakur, Nicholas J Short, Nitin Jain, Naval G Daver, Elias J Jabbour, Guillermo Garcia-Manero, Sanam Loghavi, Keyur P Patel, Guillermo Montalban-Bravo, Lucia Masarova, Courtney D Dinardo, Hagop M Kantarjian

Faculty, Staff and Student Publications

BACKGROUND: The aim of this study was to develop a prognostic model for survival in older/unfit patients with newly diagnosed acute myeloid leukemia (AML) who were treated with lower-intensity chemotherapy regimens.

METHODS: The authors reviewed all older/unfit patients with newly diagnosed AML who received lower-intensity chemotherapy from 2000 until 2020 at their institution. A total of 1462 patients were included. They were divided (3:1 basis) into a training (n = 1088) and a validation group (n = 374).

RESULTS: In the training cohort of 1088 patients (median age, 72 years), the multivariate analysis identified 11 consistent independent adverse factors associated …

The Outcomes Of Patients With Chronic Myeloid Leukemia Treated With Third-Line Bcr::Abl1 Tyrosine Kinase Inhibitors, Elias J Jabbour, Koji Sasaki, Fadi G Haddad, Ghayas C Issa, Guillermo Garcia-Manero, Tapan M Kadia, Nitin Jain, Musa Yilmaz, Courtney D Dinardo, Keyur P Patel, Rashmi Kanagal-Shamanna, Richard Champlin, Issa F Khouri, Sara Dellasala, Sherry A Pierce, Hagop Kantarjian

Faculty, Staff and Student Publications

The BCR::ABL1 tyrosine kinase inhibitors (TKIs) have improved the outcomes of patients with chronic myeloid leukemia (CML). After failing second-generation TKI (2G-TKI), the optimal third-line therapy in chronic phase CML (CML-CP) is not well established. We analyzed 354 patients with CML-CP treated with a third-line BCR::ABL1 TKI at our institution, and in the PACE and OPTIC trials, and evaluated the outcome after alternate 2G-TKIs or ponatinib. We performed a propensity score matching analysis to compare outcomes and multivariate analysis to identify variables associated with survival. One hundred seventy-three (49%) patients received 2G-TKIs and 181 (51%) ponatinib. Patients in the ponatinib …

Inconsistent Partitioning And Unproductive Feature Associations Yield Idealized Radiomic Models, Mishka Gidwani, Ken Chang, Jay Biren Patel, Katharina Viktoria Hoebel, Syed Rakin Ahmed, Praveer Singh, Clifton David Fuller, Jayashree Kalpathy-Cramer

Faculty, Staff and Student Publications

Background Radiomics is the extraction of predefined mathematic features from medical images for the prediction of variables of clinical interest. While some studies report superlative accuracy of radiomic machine learning (ML) models, the published methodology is often incomplete, and the results are rarely validated in external testing data sets. Purpose To characterize the type, prevalence, and statistical impact of methodologic errors present in radiomic ML studies. Materials and Methods Radiomic ML publications were reviewed for the presence of performance-inflating methodologic flaws. Common flaws were subsequently reproduced with randomly generated features interpolated from publicly available radiomic data sets to demonstrate the …

Advancing Car T Cell Therapy Through The Use Of Multidimensional Omics Data, Jingwen Yang, Yamei Chen, Ying Jing, Michael R Green, Leng Han

Faculty, Staff and Student Publications

Despite the notable success of chimeric antigen receptor (CAR) T cell therapies in the treatment of certain haematological malignancies, challenges remain in optimizing CAR designs and cell products, improving response rates, extending the durability of remissions, reducing toxicity and broadening the utility of this therapeutic modality to other cancer types. Data from multidimensional omics analyses, including genomics, epigenomics, transcriptomics, T cell receptor-repertoire profiling, proteomics, metabolomics and/or microbiomics, provide unique opportunities to dissect the complex and dynamic multifactorial phenotypes, processes and responses of CAR T cells as well as to discover novel tumour targets and pathways of resistance. In this Review, …

Genomic-Transcriptomic Evolution In Lung Cancer And Metastasis, Carlos Martínez-Ruiz, James R M Black, Clare Puttick, Mark S Hill, Jonas Demeulemeester, Elizabeth Larose Cadieux, Kerstin Thol, Thomas P Jones, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Antonia Toncheva, Paulina Prymas, Andrew Rowan, Sophia Ward, Laura Cubitt, Foteini Athanasopoulou, Oriol Pich, Takahiro Karasaki, David A Moore, Roberto Salgado, Emma Colliver, Carla Castignani, Michelle Dietzen, Ariana Huebner, Maise Al Bakir, Miljana Tanić, Thomas B K Watkins, Emilia L Lim, Ali M Al-Rashed, Danny Lang, James Clements, Daniel E Cook, Rachel Rosenthal, Gareth A Wilson, Alexander M Frankell, Sophie De Carné Trécesson, Philip East, Nnennaya Kanu, Kevin Litchfield, Nicolai J Birkbak, Allan Hackshaw, Stephan Beck, Peter Van Loo, Mariam Jamal-Hanjani, Charles Swanton, Nicholas Mcgranahan

Faculty, Staff and Student Publications

Intratumour heterogeneity (ITH) fuels lung cancer evolution, which leads to immune evasion and resistance to therapy1. Here, using paired whole-exome and RNA sequencing data, we investigate intratumour transcriptomic diversity in 354 non-small cell lung cancer tumours from 347 out of the first 421 patients prospectively recruited into the TRACERx study2,3. Analyses of 947 tumour regions, representing both primary and metastatic disease, alongside 96 tumour-adjacent normal tissue samples implicate the transcriptome as a major source of phenotypic variation. Gene expression levels and ITH relate to patterns of positive and negative selection during tumour evolution. We observe frequent copy number-independent allele-specific expression …