L
Lacey E. Dobrolecki
Researcher at Baylor College of Medicine
Publications - 70
Citations - 3059
Lacey E. Dobrolecki is an academic researcher from Baylor College of Medicine. The author has contributed to research in topics: Cancer & Breast cancer. The author has an hindex of 20, co-authored 38 publications receiving 2114 citations.
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Journal ArticleDOI
Mutual regulation of tumour vessel normalization and immunostimulatory reprogramming
Lin Tian,Amit Goldstein,Hai Wang,Hin Ching Lo,Ik Sun Kim,Thomas Welte,Kuanwei Sheng,Lacey E. Dobrolecki,Xiaomei Zhang,Nagireddy Putluri,Thuy L. Phung,Sendurai A. Mani,Fabio Stossi,Arun Sreekumar,Michael A. Mancini,William K. Decker,Chenghang Zong,Michael T. Lewis,Xiang Zhang +18 more
TL;DR: It is shown that type 1 T helper (TH1) cells play a crucial role in vessel normalization, and may be a marker and a determinant of both immune checkpoint blockade and anti-angiogenesis efficacy.
Journal ArticleDOI
A Renewable Tissue Resource of Phenotypically Stable, Biologically and Ethnically Diverse, Patient-Derived Human Breast Cancer Xenograft Models
Xiaomei Zhang,Sofie Claerhout,Aleix Prat,Lacey E. Dobrolecki,Ivana Petrovic,Qing Lai,Melissa D. Landis,Lisa Wiechmann,Rachel Schiff,Mario Giuliano,Helen Wong,Suzanne W. A. Fuqua,Alejandro Contreras,Carolina Gutierrez,Jian Huang,Jian Huang,Sufeng Mao,Anne Pavlick,A. Froehlich,Meng Fen Wu,Anna Tsimelzon,Susan G. Hilsenbeck,Edward S. Chen,Pavel Zuloaga,Chad A. Shaw,Mothaffar F. Rimawi,Charles M. Perou,Gordon B. Mills,Jenny C. Chang,Michael T. Lewis +29 more
TL;DR: Serially passaged xenografts show biologic consistency with the tumor of origin, are phenotypically stable across multiple transplant generations at the histologic, transcriptomic, proteomic, and genomic levels, and show comparable treatment responses as those observed clinically.
Journal ArticleDOI
Fatty Acid Oxidation-Driven Src Links Mitochondrial Energy Reprogramming and Oncogenic Properties in Triple-Negative Breast Cancer
Jun Hyoung Park,Sajna Antony Vithayathil,Santosh Kumar,Pi Lin Sung,Pi Lin Sung,Lacey E. Dobrolecki,Vasanta Putluri,Vadiraja B. Bhat,Salil Kumar Bhowmik,Vineet Gupta,Kavisha Arora,Danli Wu,Efrosini Tsouko,Yiqun Zhang,Suman Maity,Taraka R. Donti,Brett H. Graham,Daniel E. Frigo,Daniel E. Frigo,Cristian Coarfa,Patricia Yotnda,Nagireddy Putluri,Arun Sreekumar,Michael T. Lewis,Chad J. Creighton,Lee-Jun C. Wong,Benny Abraham Kaipparettu +26 more
TL;DR: Analysis of cybrids and established breast cancer cell lines showed that metastatic TNBC maintains high levels of ATP through fatty acid β oxidation (FAO) and activates Src oncoprotein through autophosphorylation at Y419, and confirmed the role of mitochondrial FAO in Src activation and metastasis.
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Preclinical and clinical studies of gamma secretase inhibitors with docetaxel on human breast tumors
Anne F. Schott,Melissa D. Landis,Gabriela Dontu,Kent A. Griffith,Rachel M. Layman,Ian E. Krop,Lacey A. Paskett,Helen Wong,Lacey E. Dobrolecki,Michael T. Lewis,A. Froehlich,Jaya Paranilam,Daniel F. Hayes,Max S. Wicha,Jenny C. Chang,Jenny C. Chang +15 more
TL;DR: Preclinical data show that pharmacologic inhibition of the Notch pathway can reduce BCSCs in breast tumorgraft models and encourage further study of Notch pathways inhibitors in combination with chemotherapy in breast cancer.
Journal ArticleDOI
Patient-derived xenograft (PDX) models in basic and translational breast cancer research
Lacey E. Dobrolecki,Susie Airhart,D Alferez,Samuel Aparicio,Fariba Behbod,Mohamed Bentires-Alj,Cathrin Brisken,Carol J. Bult,Shirong Cai,Robert Clarke,Heidi Dowst,Matthew J. Ellis,Eva González-Suárez,Richard Iggo,Peter Kabos,Shunqiang Li,Geoffrey J. Lindeman,Geoffrey J. Lindeman,Geoffrey J. Lindeman,Elisabetta Marangoni,Aaron McCoy,Funda Meric-Bernstam,Helen Piwnica-Worms,Marie-France Poupon,Jorge S. Reis-Filho,Carol A. Sartorius,Valentina Scabia,George Sflomos,Yizheng Tu,François Vaillant,François Vaillant,Jane E. Visvader,Jane E. Visvader,Alana L. Welm,Max S. Wicha,Michael T. Lewis +35 more
TL;DR: This review summarizes current experiences related to PDX generation across participating groups, efforts to develop data standards for annotation and dissemination of patient clinical information that does not compromise patient privacy, and progress toward “credentialing” of PDX models as surrogates to represent individual patients for use in preclinical and co-clinical translational research.