Greehey CCRI News & Events Archive


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Business Wire: Lantern Pharma Reports Second Quarter 2022 Financial Results and Operational Highlights, Scientific Collaborations Updates (Houghton)

August 9, 2022

During Childhood Cancer Awareness Month in September, Lantern will host a KOL webinar featuring Dr. Peter Houghton, Ph.D., a leading expert in childhood cancers at the Greehey Children’s Cancer Institute at the University of Texas San Antonio Health Sc …

Molecular Cancer Theraputics: Trastuzumab Deruxtecan, Antibody–Drug Conjugate Targeting HER2, Is Effective in Pediatric Malignancies: A Report by the Pediatric Preclinical Testing Consortium (Houghton, Kurmasheva)

August 3, 2022

Pooja Hingorani Wendong Zhang; Zhongting Zhang; Zhaohui Xu; Wei-Lien Wang; Michael E. Roth Yifei Wang; Jonathan B. Gill Douglas J. Harrison; Beverly A. Teicher; Stephen W. Erickson Gregory Gatto; Edward A. Kolb Malcolm A. Smith Raushan T. Kurmasheva Pe …

Clinical Cancer Research: Regulation of TORC1 by MAPK Signaling Determines Sensitivity and Acquired Resistance to Trametinib in Pediatric BRAFV600E Brain Tumor Models (Houghton & Kurmasheva)

August 1, 2022

Fuyang Li; Kathryn M. Bondra; Samson Ghilu; Adam Studebaker; Qianqian Liu Joel E. Michalek Mari Kogiso; Xiao-Nan Li John A. Kalapurakal; C. David James; Sandeep Burma; Raushan T. Kurmasheva Peter J. Houghton Abstract Purpose: We investigated why three …

Non-Coding RNA: Systematic Analysis of Long Non-Coding RNA Genes in Nonalcoholic Fatty Liver Disease (Bishop Lab)

July 27, 2022

Mirolyuba Ilieva James Dao Henry E. Miller Jens Hedelund Madsen Alexander J. R. Bishop Sakari Kauppinen Shizuka Uchida   Abstract The largest solid organ in humans, the liver, performs a variety of functions to sustain life. When damaged, cells in the …

Neuro – Oncology: ELF4 is a critical component of a miRNA-transcription factor network and is a bridge regulator of glioblastoma receptor signaling and lipid dynamics (Penalva Lab)

July 22, 2022

Adam Kosti, Jennifer Chiou, Gabriela D A Guardia, Xiufen Lei, Henriette Balinda, Tesha Landry, Xiyuan Lu, Mei Qiao, Andrea Gilbert, Andrew Brenner … Show more Abstract Background The loss of neurogenic tumor suppressor microRNAs miR-124, miR-128, and …

Cell Reports Medicine: A RET::GRB2 fusion in pheochromocytoma defies the classic paradigm of RET oncogenic fusions (Wang)

July 21, 2022

Cynthia M.Estrada-Zuniga18  Zi-MingCheng18  PurushothEthiraj18  QianjinGuo1  HectorGonzalez-Cantú1  ElainaAdderley2  HectorLopez1  Bethany N.Landry1  AbirZainal2  NeilAronin2  YanliDing3  XiaojingWang45  Ricardo C.T.Aguiar167  Patricia L.M.Dahia169 Hig …

International Journal of Molecular Sciences: Therapeutic Targeting of Ovarian Cancer Stem Cells Using Estrogen Receptor Beta Agonist (Lai)

July 12, 2022

Yi He 1,2, Salvador  Alejo 1, Prabhakar Pitta Venkata 1, Jessica D. Johnson 1, Ilanna Loeffel 1, Uday P. Pratap 1, Yi Zou 3, Zhao Lai 3, Rajeshwar R. Tekmal 1,4, Edward R. Kost 1 and Gangadhara R. Sareddy 1,4,* Abstract Ovarian cancer (OCa) is the dead …

Nucleic Acids Research: Quality-controlled R-loop meta-analysis reveals the characteristics of R-loop consensus regions (Bishop Lab)

June 27, 2022

Henry E Miller, Daniel Montemayor, Jebriel Abdul, Anna Vines, Simon A Levy, Stella R Hartono, Kumar Sharma, Bess Frost, Frédéric Chédin, Alexander J R Bishop Abstract R-loops are three-stranded nucleic acid structures formed from the hybridization of R …

Raushan Kurmasheva Received the CURE Childhood Cancer Award

June 24, 2022

Abstract Atypical teratoid/rhabdoid tumors (AT/RT) of the brain and malignant rhabdoid tumors of the kidney (RTK) compose a group of highly malignant pediatric cancers known as malignant rhabdoid tumors (MRT). Both subtypes are characterized by the bia …

BMC Med Informatics & Decision Making: On the Role of Deep Learning Model Complexity in Adversarial Robustness for Medical Images (Chen Lab)

June 21, 2022

David Rodriguez, Tapsya Nayak, Yidong Chen, Ram Krishnan & Yufei Huang Abstract Deep learning (DL) models are highly vulnerable to adversarial attacks for medical image classification. An adversary could modify the input data in imperceptible ways …

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