Genetic Phenomena Commons^™

Publisher Correction: Comprehensive Molecular Characterization Of Mitochondrial Genomes In Human Cancers, Yuan Yuan, Young Seok Ju, Youngwook Kim, Jun Li, Yumeng Wang, Christopher J Yoon, Yang Yang, Inigo Martincorena, Chad J Creighton, John N Weinstein, Yanxun Xu, Leng Han, Hyung-Lae Kim, Hidewaki Nakagawa, Keunchil Park, Peter J Campbell, Han Liang, Pcawg Consortium

Faculty, Staff and Student Publications

No abstract provided.

Integrated Circulating Tumor Dna And T Cell Repertoire Predict Radiotherapeutic Response And Outcome In Non-Small Cell Lung Cancer Patients With Brain Metastasis, Ling Peng, Yawen Bin, Peng Ding, Lingjuan Chen, Hao Zeng, Zelong Xu, Liyan Ji, Xuan Gao, Pian Liu, Ye Wang, Sheng Zhang, Zhongxing Liao, Xuefeng Xia, Ruiguang Zhang, Fan Tong, Xiaorong Dong

Faculty, Staff and Student Publications

No abstract provided.

Potent Antitumor Activity Of Ensartinib In Met Exon 14 Skipping-Mutated Non-Small Cell Lung Cancer, Yang Xia, Rui Jin, Miao Li, Fen Lan, Hao Zhu, Yinghui Yu, Da Miao, Qiyuan Wang, Yi Zhou, Giovanni Selvaggi, Songmin Ying, Jianjun Zhang, Huahao Shen, Xiuning Le, Wen Li

Faculty, Staff and Student Publications

Met proto-oncogene exon 14 skipping (METex14) mutations are targetable driver genes in approximately 3% of non-small-cell lung cancers (NSCLCs). Ensartinib, a type Ia MET inhibitor, is a multi-kinase inhibitor that has been approved for ALK-positive NSCLCs. Ensartinib was administered for compassionate use (cohort 1) and in a phase II clinical trial (cohort 2) to patients with METex14 mutant NSCLCs, with ORR as a primary endpoint. Molecular simulation was conducted to evaluate ensartinib c-MET interaction, and cell lines, patient-derived organoids (PDOs), and xenograft models were used to test the effectiveness of ensartinib. Among 29 evaluable patients, the ORR and DCR of …

Younger Haploidentical Donor Versus Older Matched Unrelated Donor For Patients With Aml/Mds, Curtis Marcoux, David Marin, Jeremy Ramdial, Gheath Alatrash, Amin M Alousi, Betul Oran, Partow Kebriaei, Uday R Popat, Katayoun Rezvani, Richard E Champlin, Elizabeth J Shpall, Rohtesh S Mehta

Faculty, Staff and Student Publications

Optimal donor selection is fundamental to successful allogeneic hematopoietic cell transplantation (HCT), and donor age influences survival after both matched unrelated donor (MUD) and haploidentical donor HCT. Though recent studies have shown similar outcomes between MUD and haploidentical HCT, it is unknown if outcomes differ following HCT with younger haploidentical donors compared to HCT with older MUDs. Therefore, we performed a retrospective analysis comparing outcomes of myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) patients who underwent HCT with younger (≤35 years) haploidentical donors (n = 494) or older (>35 years) MUDs (n = 1005). Patients in the haploidentical …

Genomic And Transcriptomic Analysis Of Checkpoint Blockade Response In Advanced Non-Small Cell Lung Cancer, Arvind Ravi, Matthew D Hellmann, Monica B Arniella, Mark Holton, Samuel S Freeman, Vivek Naranbhai, Chip Stewart, Ignaty Leshchiner, Jaegil Kim, Yo Akiyama, Aaron T Griffin, Natalie I Vokes, Mustafa Sakhi, Vashine Kamesan, Hira Rizvi, Biagio Ricciuti, Patrick M Forde, Valsamo Anagnostou, Jonathan W Riess, Don L Gibbons, Nathan A Pennell, Vamsidhar Velcheti, Subba R Digumarthy, Mari Mino-Kenudson, Andrea Califano, John V Heymach, Roy S Herbst, Julie R Brahmer, Kurt A Schalper, Victor E Velculescu, Brian S Henick, Naiyer Rizvi, Pasi A Jänne, Mark M Awad, Andrew Chow, Benjamin D Greenbaum, Marta Luksza, Alice T Shaw, Jedd Wolchok, Nir Hacohen, Gad Getz, Justin F Gainor

Faculty, Staff and Student Publications

Anti-PD-1/PD-L1 agents have transformed the treatment landscape of advanced non-small cell lung cancer (NSCLC). To expand our understanding of the molecular features underlying response to checkpoint inhibitors in NSCLC, we describe here the first joint analysis of the Stand Up To Cancer-Mark Foundation cohort, a resource of whole exome and/or RNA sequencing from 393 patients with NSCLC treated with anti-PD-(L)1 therapy, along with matched clinical response annotation. We identify a number of associations between molecular features and outcome, including (1) favorable (for example, ATM altered) and unfavorable (for example, TERT amplified) genomic subgroups, (2) a prominent association between expression of …

Prioritizing Clinical Trial Quality Assurance For Photons And Protons: A Failure Modes And Effects Analysis (Fmea) Comparison, Paige A Taylor, Elizabeth Miles, Lone Hoffmann, Sarah M Kelly, Stephen F Kry, Ditte Sloth Møller, Hugo Palmans, Kamal Akbarov, Marianne C Aznar, Enrico Clementel, Coreen Corning, Rachel Effeney, Brendan Healy, Alisha Moore, Mitsuhiro Nakamura, Samir Patel, Maddison Shaw, Markus Stock, Joerg Lehmann, Catharine H Clark

Faculty, Staff and Student Publications

Background and purpose: The Global Clinical Trials RTQA Harmonization Group (GHG) set out to evaluate and prioritize clinical trial quality assurance.

Methods: The GHG compiled a list of radiotherapy quality assurance (QA) tests performed for proton and photon therapy clinical trials. These tests were compared between modalities to assess whether there was a need for different types of assessments per modality. A failure modes and effects analysis (FMEA) was performed to assess the risk of each QA failure.

Results: The risk analysis showed that proton and photon therapy shared four out of five of their highest-risk failures (end-to-end anthropomorphic phantom …

Vestigial-Like 1 (Vgll1): An Ancient Co-Transcriptional Activator Linking Wing, Placenta, And Tumor Development, Heather M Sonnemann, Barbara Pazdrak, Dinler A Antunes, Jason Roszik, Gregory Lizée

Faculty, Staff and Student Publications

Vestigial-like 1 (VGLL1) is a recently discovered driver of proliferation and invasion that is expressed in many aggressive human malignancies and is strongly associated with poor prognosis. The VGLL1 gene encodes for a co-transcriptional activator that shows intriguing structural similarity to key activators in the hippo pathway, providing important clues to its functional role. VGLL1 binds to TEAD transcription factors in an analogous fashion to YAP1 but appears to activate a distinct set of downstream gene targets. In mammals, VGLL1 expression is found almost exclusively in placental trophoblasts, cells that share many hallmarks of cancer. Due to its role as …

Gwas And Meta-Analysis Identifies 49 Genetic Variants Underlying Critical Covid-19, Erola Pairo-Castineira, Konrad Rawlik, Andrew D Bretherick, Ting Qi, Yang Wu, Isar Nassiri, Glenn A Mcconkey, Marie Zechner, Lucija Klaric, Fiona Griffiths, Wilna Oosthuyzen, Athanasios Kousathanas, Anne Richmond, Jonathan Millar, Clark D Russell, Tomas Malinauskas, Ryan Thwaites, Kirstie Morrice, Sean Keating, David Maslove, Alistair Nichol, Malcolm G Semple, Julian Knight, Manu Shankar-Hari, Charlotte Summers, Charles Hinds, Peter Horby, Lowell Ling, Danny Mcauley, Hugh Montgomery, Peter J M Openshaw, Colin Begg, Timothy Walsh, Albert Tenesa, Carlos Flores, José A Riancho, Augusto Rojas-Martinez, Pablo Lapunzina, Genomicc Investigators, Scourge Consortium, Isaricc Investigators, 23andme Covid-19 Team, Jian Yang, Chris P Ponting, James F Wilson, Veronique Vitart, Malak Abedalthagafi, Andre D Luchessi, Esteban J Parra, Raquel Cruz, Angel Carracedo, Angie Fawkes, Lee Murphy, Kathy Rowan, Alexandre C Pereira, Andy Law, Benjamin Fairfax, Sara Clohisey Hendry, J Kenneth Baillie

Faculty, Staff and Student Publications

Critical illness in COVID-19 is an extreme and clinically homogeneous disease phenotype that we have previously shown1 to be highly efficient for discovery of genetic associations2. Despite the advanced stage of illness at presentation, we have shown that host genetics in patients who are critically ill with COVID-19 can identify immunomodulatory therapies with strong beneficial effects in this group3. Here we analyse 24,202 cases of COVID-19 with critical illness comprising a combination of microarray genotype and whole-genome sequencing data from cases of critical illness in the international GenOMICC (11,440 cases) study, combined with other studies recruiting hospitalized patients with a …

Current Treatment Strategies And Risk Stratification For Oral Carcinoma, Issa Mohamad, Mica D E Glaun, Kumar Prabhash, Ahmed Busheri, Stephen Y Lai, Vanita Noronha, Ali Hosni

Faculty, Staff and Student Publications

Management of oral cavity squamous cell carcinoma (OSCC) involves a multidisciplinary team approach. Surgery is ideally the primary treatment option for nonmetastatic OSCC, and less invasive curative surgical approaches are preferred in early-stage disease to minimize surgical-related morbidity. For patients at high risk of recurrence, adjuvant treatment using radiation therapy or chemoradiation is often used. Systemic therapy may also be used in the neoadjuvant setting (for advanced-stage disease with the intent of mandibular preservation) or in the palliative setting (for nonsalvageable locoregional recurrence and/or distant metastases). Patient involvement in treatment decision is the key for patient-driven management, particularly in clinical …

Pirtobrutinib And Venetoclax Combination Overcomes Resistance To Targeted And Chimeric Antigen Receptor T-Cell Therapy In Aggressive Mantle Cell Lymphoma, Yang Liu, Fangfang Yan, Vivian Changying Jiang, Yijing Li, Yuxuan Che, Joseph Mcintosh, Alexa Jordan, Ian Hou, Lei Nie, Jingling Jin, Wei Wang, Heng-Huan Lee, Yixin Yao, Michael Wang

Faculty, Staff and Student Publications

No abstract provided.

Utilization Of Indoor Tanning: A Cross-Sectional Study Using Mobile Device Data, Mackenzie R Wehner, Yao Li, Ashna A Sethi, Candice L Hinkston, Nasim Khalfe, Carly F Stender, Malgorzata K Nowakowska, Olivia G Cohen, Sharon H Giordano, Eleni Linos

Faculty, Staff and Student Publications

No abstract provided.

Understanding Cardiac Senescence One Cell Type At A Time, Payel Sen, Priyatansh Gurha

Faculty, Staff and Student Publications

No abstract provided.

Association Of Cumulative Colorectal Surgery Hospital Costs, Readmissions, And Emergency Department/Observation Stays With Insurance Type, Michael A Jacobs, Jasmine C Tetley, Jeongsoo Kim, Susanne Schmidt, Bradley B Brimhall, Virginia Mika, Chen-Pin Wang, Laura S Manuel, Paul Damien, Paula K Shireman

Faculty, Staff and Student Publications

Background/purpose: Medicare's Hospital Readmission Reduction Program disproportionately penalizes safety-net hospitals (SNH) caring for vulnerable populations. This study assessed the association of insurance type with 30-day emergency department visits/observation stays (EDOS), readmissions, and cumulative costs in colorectal surgery patients.

Methods: Retrospective inpatient cohort study using the National Surgical Quality Improvement Program (2013-2019) with cost data in a SNH. The odds of EDOS and readmissions and cumulative variable (index hospitalization and all 30-day EDOS and readmissions) costs were modeled adjusting for frailty, case status, presence of a stoma, and open versus laparoscopic surgery.

Results: The cohort had 245 private, 195 Medicare, and …

Molecular Identity Changes Of Tumor-Associated Macrophages And Microglia After Magnetic Resonance Imaging-Guided Focused Ultrasound-Induced Blood-Brain Barrier Opening In A Mouse Glioblastoma Model, Yanrong Zhang, Jing Wang, Sara Natasha Ghobadi, Haiyan Zhou, Ai Huang, Marco Gerosa, Qingyi Hou, Olivier Keunen, Anna Golebiewska, Frezghi G Habte, Gerald A Grant, Ramasamy Paulmurugan, Kevin S Lee, Max Wintermark

Faculty, Staff and Student Publications

An orthotopically allografted mouse GL26 glioma model (Ccr2^RFP/wt-Cx3cr1^GFP/wt) was used to evaluate the effect of transient, focal opening of the Blood Brain Barrier (BBB) on the composition of tumor-associated macrophages and microglia (TAMs). BBB Opening was induced by Magnetic Resonance Imaging (MRI)-guided focused ultrasound (MRgFUS) combined with microbubbles. CX3CR1-GFP cells and CCR2-RFP cells in brain tumors were quantified in microscopic images. Tumors in animals treated with a single session of MRgFUS did not show significant changes in cell numbers when compared to tumors in animals not receiving FUS. However, tumors that received two or three sessions …

Towards A Better Mucolytic, Burton F Dickey, Christopher M Evans

Faculty, Staff and Student Publications

No abstract provided.

Author Correction: Comprehensive Molecular Characterization Of Mitochondrial Genomes In Human Cancers, Yuan Yuan, Young Seok Ju, Youngwook Kim, Jun Li, Yumeng Wang, Christopher J Yoon, Yang Yang, Inigo Martincorena, Chad J Creighton, John N Weinstein, Yanxun Xu, Leng Han, Hyung-Lae Kim, Hidewaki Nakagawa, Keunchil Park, Peter J Campbell, Han Liang

Faculty, Staff and Student Publications

No abstract provided.

Development And Validation Of A Patient-Reported Outcome Measure To Assess Symptom Burden After Chimeric Antigen Receptor T-Cell Therapy, Xin Shelley Wang, Samer A Srour, Tito Mendoza, Meagan Whisenant, Ishwaria Subbiah, Elizabeth Gonzalez, Mona Kamal, Shu-En Shen, Charles Cleeland, Partow Kebriaei, Katayoun Rezvani, Sattva Neelapu, Sairah Ahmed, Elizabeth Shpall

Faculty, Staff and Student Publications

This cross-sectional study aimed to develop and validate a patient-reported outcomes (PROs) assessment tool to assess symptom burden and daily functioning in patients after chimeric antigen receptor (CAR) T-cell therapy, the MD Anderson Symptom Inventory (MDASI-CAR). The items were generated based on literature review, content elicitation interviews with patients, and clinician's review. The patients completed the MDASI core and module, single-item quality-of-life (QoL) measure and Patient-Reported Outcomes Measurement Information System-29 (PROMIS-29). The psychometric validation analysis was based on the acceptability after item reduction process. The final 10 MDASI-CAR module items included tremors, fever/chills, headache, balance, dizziness, attention, difficulty speaking, coughing, …

Specific Causes Of Excess Late Mortality And Association With Modifiable Risk Factors Among Survivors Of Childhood Cancer: A Report From The Childhood Cancer Survivor Study Cohort, Stephanie B Dixon, Qi Liu, Eric J Chow, Kevin C Oeffinger, Paul C Nathan, Rebecca M Howell, Wendy M Leisenring, Matthew J Ehrhardt, Kirsten K Ness, Kevin R Krull, Ann C Mertens, Melissa M Hudson, Leslie L Robison, Yutaka Yasui, Gregory T Armstrong

Faculty, Staff and Student Publications

Background: 5-year survival after childhood cancer does not fully describe life-years lost due to childhood cancer because there are a large number of deaths occurring beyond 5-years (late mortality) related to cancer and cancer treatment. Specific causes of health-related (non-recurrence, non-external) late mortality and risk reduction through modifiable lifestyle and cardiovascular risk factors are not well described. Through using a well-characterised cohort of 5-year survivors of the most common childhood cancers, we evaluated specific health-related causes of late mortality and excess deaths compared with the general US population and identified targets to reduce future risk.

Methods: In this multi-institutional, hospital-based, …

Consensus Proposal For Revised International Working Group 2023 Response Criteria For Higher-Risk Myelodysplastic Syndromes, Amer M Zeidan, Uwe Platzbecker, Jan Philipp Bewersdorf, Maximilian Stahl, Lionel Adès, Uma Borate, David Bowen, Rena Buckstein, Andrew Brunner, Hetty E Carraway, Naval Daver, Maria Díez-Campelo, Theo De Witte, Amy E Dezern, Fabio Efficace, Guillermo Garcia-Manero, Jacqueline S Garcia, Ulrich Germing, Aristoteles Giagounidis, Elizabeth A Griffiths, Robert P Hasserjian, Eva Hellström-Lindberg, Marcelo Iastrebner, Rami Komrokji, Austin G Kulasekararaj, Luca Malcovati, Yasushi Miyazaki, Olatoyosi Odenike, Valeria Santini, Guillermo Sanz, Phillip Scheinberg, Reinhard Stauder, Arjan A Van De Loosdrecht, Andrew H Wei, Mikkael A Sekeres, Pierre Fenaux

Faculty, Staff and Student Publications

Myelodysplastic syndromes/myelodysplastic neoplasms (MDS) are associated with variable clinical presentations and outcomes. The initial response criteria developed by the International Working Group (IWG) in 2000 have been used in clinical practice, clinical trials, regulatory reviews, and drug labels. Although the IWG criteria were revised in 2006 and 2018 (the latter focusing on lower-risk disease), limitations persist in their application to higher-risk MDS (HR-MDS) and their ability to fully capture the clinical benefits of novel investigational drugs or serve as valid surrogates for longer-term clinical end points (eg, overall survival). Further, issues related to the ambiguity and practicality of some criteria …

Positive Selection Of Somatically Mutated Clones Identifies Adaptive Pathways In Metabolic Liver Disease, Zixi Wang, Shijia Zhu, Yuemeng Jia, Yunguan Wang, Naoto Kubota, Naoto Fujiwara, Ruth Gordillo, Cheryl Lewis, Min Zhu, Tripti Sharma, Lin Li, Qiyu Zeng, Yu-Hsuan Lin, Meng-Hsiung Hsieh, Purva Gopal, Tao Wang, Matt Hoare, Peter Campbell, Yujin Hoshida, Hao Zhu

Faculty, Staff and Student Publications

Somatic mutations in nonmalignant tissues accumulate with age and injury, but whether these mutations are adaptive on the cellular or organismal levels is unclear. To interrogate genes in human metabolic disease, we performed lineage tracing in mice harboring somatic mosaicism subjected to nonalcoholic steatohepatitis (NASH). Proof-of-concept studies with mosaic loss of Mboat7, a membrane lipid acyltransferase, showed that increased steatosis accelerated clonal disappearance. Next, we induced pooled mosaicism in 63 known NASH genes, allowing us to trace mutant clones side by side. This in vivo tracing platform, which we coined MOSAICS, selected for mutations that ameliorate lipotoxicity, including mutant genes …

Resolution Of Cisplatin-Induced Fatigue Does Not Require Endogenous Interleukin-10 In Male Mice, Kiersten Scott, Nabila Boukelmoune, Cullen Taniguchi, A Phillip West, Cobi J Heijnen, Robert Dantzer

Faculty, Staff and Student Publications

Based on previous results showing a pivotal role of endogenous interleukin-10 (IL-10) in the recovery from cisplatin-induced peripheral neuropathy, the present experiments were carried out to determine whether this cytokine plays any role in the recovery from cisplatin-induced fatigue in male mice. Fatigue was measured by decreased voluntary wheel running in mice trained to run in a wheel in response to cisplatin. Mice were treated with a monoclonal neutralizing antibody (IL-10na) administered intranasally during the recovery period to neutralize endogenous IL-10. In the first experiment, mice were treated with cisplatin (2.83 mg/kg/day) for five days and IL-10na (12 μg/day for …

Bridging Clinic And Wildlife Care With Ai-Powered Pan-Species Computational Pathology, Khalid Abduljabbar, Simon P Castillo, Katherine Hughes, Hannah Davidson, Amy M Boddy, Lisa M Abegglen, Lucia Minoli, Selina Iussich, Elizabeth P Murchison, Trevor A Graham, Simon Spiro, Carlo C Maley, Luca Aresu, Chiara Palmieri, Yinyin Yuan

Faculty, Staff and Student Publications

Cancers occur across species. Understanding what is consistent and varies across species can provide new insights into cancer initiation and evolution, with significant implications for animal welfare and wildlife conservation. We build a pan-species cancer digital pathology atlas (panspecies.ai) and conduct a pan-species study of computational comparative pathology using a supervised convolutional neural network algorithm trained on human samples. The artificial intelligence algorithm achieves high accuracy in measuring immune response through single-cell classification for two transmissible cancers (canine transmissible venereal tumour, 0.94; Tasmanian devil facial tumour disease, 0.88). In 18 other vertebrate species (mammalia = 11, reptilia = 4, aves …

Armo: Automated And Reliable Multi-Objective Model For Lymph Node Metastasis Prediction In Head And Neck Cancer, Zhiguo Zhou, Liyuan Chen, Michael Dohopolski, David Sher, Jing Wang

Faculty, Staff and Student Publications

Objective:

Accurate diagnosis of lymph node metastasis (LNM) is critical in treatment management for patients with head & neck cancer. Positron emission tomography (PET) and computed tomography (CT) are routinely used for identifying LNM status. However, for small or less fluorodeoxyglucose (FDG) avid nodes, there are always uncertainties in LNM diagnosis. We are aiming to develop a reliable prediction model is for identifying LNM.

Approach:

In this study, a new automated and reliable multi-objective learning model (ARMO) is proposed. In ARMO, a multi-objective model is introduced to obtain balanced sensitivity and specificity. Meanwhile, confidence is calibrated by introducing individual reliability, …

Machine Learning Models For The Identification Of Prognostic And Predictive Cancer Biomarkers: A Systematic Review, Qasem Al-Tashi, Maliazurina B Saad, Amgad Muneer, Rizwan Qureshi, Seyedali Mirjalili, Ajay Sheshadri, Xiuning Le, Natalie I Vokes, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

The identification of biomarkers plays a crucial role in personalized medicine, both in the clinical and research settings. However, the contrast between predictive and prognostic biomarkers can be challenging due to the overlap between the two. A prognostic biomarker predicts the future outcome of cancer, regardless of treatment, and a predictive biomarker predicts the effectiveness of a therapeutic intervention. Misclassifying a prognostic biomarker as predictive (or vice versa) can have serious financial and personal consequences for patients. To address this issue, various statistical and machine learning approaches have been developed. The aim of this study is to present an in-depth …

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 …

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 …

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 [...].