Literature DB >> 28790197

Breast tumors educate the proteome of stromal tissue in an individualized but coordinated manner.

Xuya Wang1,2, Arshag D Mooradian3, Petra Erdmann-Gilmore3, Qiang Zhang3, Rosa Viner4, Sherri R Davies3, Kuan-Lin Huang3, Ryan Bomgarden5, Brian A Van Tine3,6, Jieya Shao3,6, Li Ding3,6,7, Shunqiang Li3,6, Matthew J Ellis8, John C Rogers5, R Reid Townsend3,6, David Fenyö9,2, Jason M Held10,6,11.   

Abstract

Cancer forms specialized microenvironmental niches that promote local invasion and colonization. Engrafted patient-derived xenografts (PDXs) locally invade and colonize naïve stroma in mice while enabling unambiguous molecular discrimination of human proteins in the tumor from mouse proteins in the microenvironment. To characterize how patient breast tumors form a niche and educate naïve stroma, subcutaneous breast cancer PDXs were globally profiled by species-specific quantitative proteomics. Regulation of PDX stromal proteins by breast tumors was extensive, with 35% of the stromal proteome altered by tumors consistently across different animals and passages. Differentially regulated proteins in the stroma clustered into six signatures, which included both known and previously unappreciated contributors to tumor invasion and colonization. Stromal proteomes were coordinately regulated; however, the sets of proteins altered by each tumor were highly distinct. Integrated analysis of tumor and stromal proteins, a comparison made possible in these xenograft models, indicated that the known hallmarks of cancer contribute pleiotropically to establishing and maintaining the microenvironmental niche of the tumor. Education of the stroma by the tumor is therefore an intrinsic property of breast tumors that is highly individualized, yet proceeds by consistent, nonrandom, and defined tumor-promoting molecular alterations.
Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2017        PMID: 28790197      PMCID: PMC5712229          DOI: 10.1126/scisignal.aam8065

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


  60 in total

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Journal:  J Clin Invest       Date:  2006-08       Impact factor: 14.808

Review 2.  Using tumour phylogenetics to identify the roots of metastasis in humans.

Authors:  Kamila Naxerova; Rakesh K Jain
Journal:  Nat Rev Clin Oncol       Date:  2015-01-20       Impact factor: 66.675

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Journal:  Cell Cycle       Date:  2009-12-05       Impact factor: 4.534

4.  Extracellular matrix signature identifies breast cancer subgroups with different clinical outcome.

Authors:  A Bergamaschi; E Tagliabue; T Sørlie; B Naume; T Triulzi; R Orlandi; H G Russnes; J M Nesland; R Tammi; P Auvinen; V-M Kosma; S Ménard; A-L Børresen-Dale
Journal:  J Pathol       Date:  2008-02       Impact factor: 7.996

Review 5.  Lessons from patient-derived xenografts for better in vitro modeling of human cancer.

Authors:  Stephen Yiu Chuen Choi; Dong Lin; Peter W Gout; Colin C Collins; Yong Xu; Yuzhuo Wang
Journal:  Adv Drug Deliv Rev       Date:  2014-10-13       Impact factor: 15.470

Review 6.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

7.  The matrisome: in silico definition and in vivo characterization by proteomics of normal and tumor extracellular matrices.

Authors:  Alexandra Naba; Karl R Clauser; Sebastian Hoersch; Hui Liu; Steven A Carr; Richard O Hynes
Journal:  Mol Cell Proteomics       Date:  2011-12-09       Impact factor: 5.911

8.  An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer.

Authors:  Andrew E Teschendorff; Ahmad Miremadi; Sarah E Pinder; Ian O Ellis; Carlos Caldas
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

9.  The CRAPome: a contaminant repository for affinity purification-mass spectrometry data.

Authors:  Dattatreya Mellacheruvu; Zachary Wright; Amber L Couzens; Jean-Philippe Lambert; Nicole A St-Denis; Tuo Li; Yana V Miteva; Simon Hauri; Mihaela E Sardiu; Teck Yew Low; Vincentius A Halim; Richard D Bagshaw; Nina C Hubner; Abdallah Al-Hakim; Annie Bouchard; Denis Faubert; Damian Fermin; Wade H Dunham; Marilyn Goudreault; Zhen-Yuan Lin; Beatriz Gonzalez Badillo; Tony Pawson; Daniel Durocher; Benoit Coulombe; Ruedi Aebersold; Giulio Superti-Furga; Jacques Colinge; Albert J R Heck; Hyungwon Choi; Matthias Gstaiger; Shabaz Mohammed; Ileana M Cristea; Keiryn L Bennett; Mike P Washburn; Brian Raught; Rob M Ewing; Anne-Claude Gingras; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2013-07-07       Impact factor: 28.547

10.  Proteogenomics connects somatic mutations to signalling in breast cancer.

Authors:  Philipp Mertins; D R Mani; Kelly V Ruggles; Michael A Gillette; Karl R Clauser; Pei Wang; Xianlong Wang; Jana W Qiao; Song Cao; Francesca Petralia; Emily Kawaler; Filip Mundt; Karsten Krug; Zhidong Tu; Jonathan T Lei; Michael L Gatza; Matthew Wilkerson; Charles M Perou; Venkata Yellapantula; Kuan-lin Huang; Chenwei Lin; Michael D McLellan; Ping Yan; Sherri R Davies; R Reid Townsend; Steven J Skates; Jing Wang; Bing Zhang; Christopher R Kinsinger; Mehdi Mesri; Henry Rodriguez; Li Ding; Amanda G Paulovich; David Fenyö; Matthew J Ellis; Steven A Carr
Journal:  Nature       Date:  2016-05-25       Impact factor: 49.962

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  13 in total

Review 1.  Redox Systems Biology: Harnessing the Sentinels of the Cysteine Redoxome.

Authors:  Jason M Held
Journal:  Antioxid Redox Signal       Date:  2019-09-09       Impact factor: 8.401

2.  gpGrouper: A Peptide Grouping Algorithm for Gene-Centric Inference and Quantitation of Bottom-Up Proteomics Data.

Authors:  Alexander B Saltzman; Mei Leng; Bhoomi Bhatt; Purba Singh; Doug W Chan; Lacey Dobrolecki; Hamssika Chandrasekaran; Jong M Choi; Antrix Jain; Sung Y Jung; Michael T Lewis; Matthew J Ellis; Anna Malovannaya
Journal:  Mol Cell Proteomics       Date:  2018-08-09       Impact factor: 5.911

Review 3.  Monitoring protein communities and their responses to therapeutics.

Authors:  Hanna G Budayeva; Donald S Kirkpatrick
Journal:  Nat Rev Drug Discov       Date:  2020-03-05       Impact factor: 84.694

4.  High-Dimensional Precision Medicine From Patient-Derived Xenografts.

Authors:  Naim U Rashid; Daniel J Luckett; Jingxiang Chen; Michael T Lawson; Longshaokan Wang; Yunshu Zhang; Eric B Laber; Yufeng Liu; Jen Jen Yeh; Donglin Zeng; Michael R Kosorok
Journal:  J Am Stat Assoc       Date:  2020-11-12       Impact factor: 5.033

5.  BCMA (TNFRSF17) Induces APRIL and BAFF Mediated Breast Cancer Cell Stemness.

Authors:  Vasiliki Pelekanou; George Notas; Paraskevi Athanasouli; Konstantinos Alexakis; Fotini Kiagiadaki; Nikolaos Peroulis; Konstantina Kalyvianaki; Errika Kampouri; Hara Polioudaki; Panayiotis Theodoropoulos; Andreas Tsapis; Elias Castanas; Marilena Kampa
Journal:  Front Oncol       Date:  2018-08-07       Impact factor: 6.244

6.  A mouse SWATH-mass spectrometry reference spectral library enables deconvolution of species-specific proteomic alterations in human tumour xenografts.

Authors:  Lukas Krasny; Philip Bland; Jessica Burns; Nadia Carvalho Lima; Peter T Harrison; Laura Pacini; Mark L Elms; Jian Ning; Victor Garcia Martinez; Yi-Ru Yu; Sophie E Acton; Ping-Chih Ho; Fernando Calvo; Amanda Swain; Beatrice A Howard; Rachael C Natrajan; Paul H Huang
Journal:  Dis Model Mech       Date:  2020-07-14       Impact factor: 5.758

7.  Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemia.

Authors:  Jeffrey M Granja; Sandy Klemm; Lisa M McGinnis; Arwa S Kathiria; Anja Mezger; M Ryan Corces; Benjamin Parks; Eric Gars; Michaela Liedtke; Grace X Y Zheng; Howard Y Chang; Ravindra Majeti; William J Greenleaf
Journal:  Nat Biotechnol       Date:  2019-12-02       Impact factor: 54.908

8.  Direct molecular dissection of tumor parenchyma from tumor stroma in tumor xenograft using mass spectrometry-based glycoproteomics.

Authors:  Xiaoying Ye; Brian T Luke; Bih-Rong Wei; Jan A Kaczmarczyk; Jadranka Loncarek; Jennifer E Dwyer; Donald J Johann; Richard G Saul; Dwight V Nissley; Frank McCormick; Gordon R Whiteley; Josip Blonder
Journal:  Oncotarget       Date:  2018-05-29

9.  Methods to Evaluate Cell Growth, Viability, and Response to Treatment in a Tissue Engineered Breast Cancer Model.

Authors:  Kayla F Goliwas; Jillian R Richter; Hawley C Pruitt; Lita M Araysi; Nicholas R Anderson; Rajeev S Samant; Susan M Lobo-Ruppert; Joel L Berry; Andra R Frost
Journal:  Sci Rep       Date:  2017-10-26       Impact factor: 4.379

10.  ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis.

Authors:  Arshag D Mooradian; Sjoerd van der Post; Kristen M Naegle; Jason M Held
Journal:  PLoS Comput Biol       Date:  2020-03-09       Impact factor: 4.475

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