Literature DB >> 22821401

Patient-derived luminal breast cancer xenografts retain hormone receptor heterogeneity and help define unique estrogen-dependent gene signatures.

Peter Kabos1, Jessica Finlay-Schultz, Chunling Li, Enos Kline, Christina Finlayson, Joshua Wisell, Christopher A Manuel, Susan M Edgerton, J Chuck Harrell, Anthony Elias, Carol A Sartorius.   

Abstract

Bypassing estrogen receptor (ER) signaling during development of endocrine resistance remains the most common cause of disease progression and mortality in breast cancer patients. To date, the majority of molecular research on ER action in breast cancer has occurred in cell line models derived from late stage disease. Here we describe patient-derived ER+ luminal breast tumor models for the study of intratumoral hormone and receptor action. Human breast tumor samples obtained from patients post surgery were immediately transplanted into NOD/SCID or NOD/SCID/ILIIrg(-/-) mice under estrogen supplementation. Five transplantable patient-derived ER+ breast cancer xenografts were established, derived from both primary and metastatic cases. These were assessed for estrogen dependency, steroid receptor expression, cancer stem cell content, and endocrine therapy response. Gene expression patterns were determined in select tumors ±estrogen and ±endocrine therapy. Xenografts morphologically resembled the patient tumors of origin, and expressed similar levels of ER (5-99 %), and progesterone and androgen receptors, over multiple passages. Four of the tumor xenografts were estrogen dependent, and tamoxifen or estrogen withdrawal (EWD) treatment abrogated estrogen-dependent growth and/or tumor morphology. Analysis of the ER transcriptome in select tumors revealed notable differences in ER mechanism of action, and downstream activated signaling networks, in addition to identifying a small set of common estrogen-regulated genes. Treatment of a naïve tumor with tamoxifen or EWD showed similar phenotypic responses, but relatively few similarities in estrogen-dependent transcription, and affected signaling pathways. Several core estrogen centric genes were shared with traditional cell line models. However, novel tumor-specific estrogen-regulated potential target genes, such as cancer/testis antigen 45, were uncovered. These results evoke the importance of mapping both conserved and tumor-unique ER programs in breast cancers. Furthermore, they underscore the importance of primary xenografts for improved understanding of ER+ breast cancer heterogeneity and development of personalized therapies.

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Year:  2012        PMID: 22821401      PMCID: PMC3818141          DOI: 10.1007/s10549-012-2164-8

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  63 in total

1.  Genome-wide analysis of estrogen receptor binding sites.

Authors:  Jason S Carroll; Clifford A Meyer; Jun Song; Wei Li; Timothy R Geistlinger; Jérôme Eeckhoute; Alexander S Brodsky; Erika Krasnickas Keeton; Kirsten C Fertuck; Giles F Hall; Qianben Wang; Stefan Bekiranov; Victor Sementchenko; Edward A Fox; Pamela A Silver; Thomas R Gingeras; X Shirley Liu; Myles Brown
Journal:  Nat Genet       Date:  2006-10-01       Impact factor: 38.330

2.  Development of resistance to targeted therapies transforms the clinically associated molecular profile subtype of breast tumor xenografts.

Authors:  Chad J Creighton; Suleiman Massarweh; Shixia Huang; Anna Tsimelzon; Susan G Hilsenbeck; C Kent Osborne; Jiang Shou; Luca Malorni; Rachel Schiff
Journal:  Cancer Res       Date:  2008-09-15       Impact factor: 12.701

3.  Rare steroid receptor-negative basal-like tumorigenic cells in luminal subtype human breast cancer xenografts.

Authors:  Kathryn B Horwitz; Wendy W Dye; Joshua Chuck Harrell; Peter Kabos; Carol A Sartorius
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-07       Impact factor: 11.205

4.  Tamoxifen resistance in breast tumors is driven by growth factor receptor signaling with repression of classic estrogen receptor genomic function.

Authors:  Suleiman Massarweh; C Kent Osborne; Chad J Creighton; Lanfang Qin; Anna Tsimelzon; Shixia Huang; Heidi Weiss; Mothaffar Rimawi; Rachel Schiff
Journal:  Cancer Res       Date:  2008-02-01       Impact factor: 12.701

5.  Molecular signatures of neoadjuvant endocrine therapy for breast cancer: characteristics of response or intrinsic resistance.

Authors:  Djuana M E Harvell; Nicole S Spoelstra; Meenakshi Singh; James L McManaman; Christina Finlayson; Tzu Phang; Susan Trapp; Lawrence Hunter; Wendy W Dye; Virginia F Borges; Anthony Elias; Kathryn B Horwitz; Jennifer K Richer
Journal:  Breast Cancer Res Treat       Date:  2008-03-09       Impact factor: 4.872

Review 6.  Crosstalk between IGF1R and estrogen receptor signaling in breast cancer.

Authors:  Dedra H Fagan; Douglas Yee
Journal:  J Mammary Gland Biol Neoplasia       Date:  2008-11-12       Impact factor: 2.673

7.  Dissociation of estrogen receptor expression and in vivo stem cell activity in the mammary gland.

Authors:  Katherine E Sleeman; Howard Kendrick; David Robertson; Clare M Isacke; Alan Ashworth; Matthew J Smalley
Journal:  J Cell Biol       Date:  2006-12-26       Impact factor: 10.539

8.  Androgen receptor expresion in breast cancer: relationship with clinicopathological characteristics of the tumors, prognosis, and expression of metalloproteases and their inhibitors.

Authors:  Luis O Gonzalez; Maria D Corte; Julio Vazquez; Sara Junquera; Rosario Sanchez; Ana C Alvarez; Juan C Rodriguez; Maria L Lamelas; Francisco J Vizoso
Journal:  BMC Cancer       Date:  2008-05-28       Impact factor: 4.430

9.  Human breast cancer cell lines contain stem-like cells that self-renew, give rise to phenotypically diverse progeny and survive chemotherapy.

Authors:  Christine M Fillmore; Charlotte Kuperwasser
Journal:  Breast Cancer Res       Date:  2008-03-26       Impact factor: 6.466

10.  The CD44+/CD24- phenotype is enriched in basal-like breast tumors.

Authors:  Gabriella Honeth; Pär-Ola Bendahl; Markus Ringnér; Lao H Saal; Sofia K Gruvberger-Saal; Kristina Lövgren; Dorthe Grabau; Mårten Fernö; Ake Borg; Cecilia Hegardt
Journal:  Breast Cancer Res       Date:  2008-06-17       Impact factor: 6.466

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  75 in total

Review 1.  Patient-Derived Xenograft Models in Breast Cancer Research.

Authors:  Deukchae Na; Hyeong-Gon Moon
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 2.  Examining the utility of patient-derived xenograft mouse models.

Authors:  Samuel Aparicio; Manuel Hidalgo; Andrew L Kung
Journal:  Nat Rev Cancer       Date:  2015-05       Impact factor: 60.716

3.  Molecular characterization of patient-derived human pancreatic tumor xenograft models for preclinical and translational development of cancer therapeutics.

Authors:  Mike Mattie; Ashley Christensen; Mi Sook Chang; William Yeh; Suzanne Said; Yuriy Shostak; Linnette Capo; Alla Verlinsky; Zili An; Ingrid Joseph; Yi Zhang; Sathish Kumar-Ganesan; Karen Morrison; David Stover; Pia Challita-Eid
Journal:  Neoplasia       Date:  2013-10       Impact factor: 5.715

Review 4.  The therapeutic potential of mTOR inhibitors in breast cancer.

Authors:  Linda S Steelman; Alberto M Martelli; Lucio Cocco; Massimo Libra; Ferdinando Nicoletti; Stephen L Abrams; James A McCubrey
Journal:  Br J Clin Pharmacol       Date:  2016-05-10       Impact factor: 4.335

5.  Labeling of Breast Cancer Patient-derived Xenografts with Traceable Reporters for Tumor Growth and Metastasis Studies.

Authors:  Colton Hanna; Letty Kwok; Jessica Finlay-Schultz; Carol A Sartorius; Diana M Cittelly
Journal:  J Vis Exp       Date:  2016-11-30       Impact factor: 1.355

Review 6.  From bench to bedside: What do we know about hormone receptor-positive and human epidermal growth factor receptor 2-positive breast cancer?

Authors:  Victoria Shang Wu; Noriko Kanaya; Chiao Lo; Joanne Mortimer; Shiuan Chen
Journal:  J Steroid Biochem Mol Biol       Date:  2015-05-18       Impact factor: 4.292

7.  Engineered Fibrillar Fibronectin Networks as Three-Dimensional Tissue Scaffolds.

Authors:  Stacy Jordahl; Luis Solorio; Dylan B Neale; Sean McDermott; Jacob H Jordahl; Alexandra Fox; Christopher Dunlay; Annie Xiao; Martha Brown; Max Wicha; Gary D Luker; Joerg Lahann
Journal:  Adv Mater       Date:  2019-09-30       Impact factor: 30.849

8.  Endocrine-therapy-resistant ESR1 variants revealed by genomic characterization of breast-cancer-derived xenografts.

Authors:  Shunqiang Li; Dong Shen; Jieya Shao; Robert Crowder; Wenbin Liu; Aleix Prat; Xiaping He; Shuying Liu; Jeremy Hoog; Charles Lu; Li Ding; Obi L Griffith; Christopher Miller; Dave Larson; Robert S Fulton; Michelle Harrison; Tom Mooney; Joshua F McMichael; Jingqin Luo; Yu Tao; Rodrigo Goncalves; Christopher Schlosberg; Jeffrey F Hiken; Laila Saied; Cesar Sanchez; Therese Giuntoli; Caroline Bumb; Crystal Cooper; Robert T Kitchens; Austin Lin; Chanpheng Phommaly; Sherri R Davies; Jin Zhang; Megha Shyam Kavuri; Donna McEachern; Yi Yu Dong; Cynthia Ma; Timothy Pluard; Michael Naughton; Ron Bose; Rama Suresh; Reida McDowell; Loren Michel; Rebecca Aft; William Gillanders; Katherine DeSchryver; Richard K Wilson; Shaomeng Wang; Gordon B Mills; Ana Gonzalez-Angulo; John R Edwards; Christopher Maher; Charles M Perou; Elaine R Mardis; Matthew J Ellis
Journal:  Cell Rep       Date:  2013-09-19       Impact factor: 9.423

9.  Breast Cancer Suppression by Progesterone Receptors Is Mediated by Their Modulation of Estrogen Receptors and RNA Polymerase III.

Authors:  Jessica Finlay-Schultz; Austin E Gillen; Heather M Brechbuhl; Joshua J Ivie; Shawna B Matthews; Britta M Jacobsen; David L Bentley; Peter Kabos; Carol A Sartorius
Journal:  Cancer Res       Date:  2017-07-20       Impact factor: 12.701

10.  Cooperative Dynamics of AR and ER Activity in Breast Cancer.

Authors:  Nicholas C D'Amato; Michael A Gordon; Beatrice Babbs; Nicole S Spoelstra; Kiel T Carson Butterfield; Kathleen C Torkko; Vernon T Phan; Valerie N Barton; Thomas J Rogers; Carol A Sartorius; Anthony Elias; Jason Gertz; Britta M Jacobsen; Jennifer K Richer
Journal:  Mol Cancer Res       Date:  2016-08-26       Impact factor: 5.852

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