Literature DB >> 30487530

Clinical potential of mass spectrometry-based proteogenomics.

Bing Zhang1, Jeffrey R Whiteaker2, Andrew N Hoofnagle3,4, Geoffrey S Baird4,5, Karin D Rodland6,7, Amanda G Paulovich8,9.   

Abstract

Cancer genomics research aims to advance personalized oncology by finding and targeting specific genetic alterations associated with cancers. In genome-driven oncology, treatments are selected for individual patients on the basis of the findings of tumour genome sequencing. This personalized approach has prolonged the survival of subsets of patients with cancer. However, many patients do not respond to the predicted therapies based on the genomic profiles of their tumours. Furthermore, studies pairing genomic and proteomic analyses of samples from the same tumours have shown that the proteome contains novel information that cannot be discerned through genomic analysis alone. This observation has led to the concept of proteogenomics, in which both types of data are leveraged for a more complete view of tumour biology that might enable patients to be more successfully matched to effective treatments than they would using genomics alone. In this Perspective, we discuss the added value of proteogenomics over the current genome-driven approach to the clinical characterization of cancers and summarize current efforts to incorporate targeted proteomic measurements based on selected/multiple reaction monitoring (SRM/MRM) mass spectrometry into the clinical laboratory to facilitate clinical proteogenomics.

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Year:  2019        PMID: 30487530      PMCID: PMC6448780          DOI: 10.1038/s41571-018-0135-7

Source DB:  PubMed          Journal:  Nat Rev Clin Oncol        ISSN: 1759-4774            Impact factor:   66.675


  166 in total

1.  Isotope-labeled protein standards: toward absolute quantitative proteomics.

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Journal:  Mol Cell Proteomics       Date:  2007-09-11       Impact factor: 5.911

Review 2.  Critical Review of Umbrella, Basket, and Platform Designs for Oncology Clinical Trials.

Authors:  Richard Simon
Journal:  Clin Pharmacol Ther       Date:  2017-10-20       Impact factor: 6.875

Review 3.  Collaboration to Accelerate Proteogenomics Cancer Care: The Department of Veterans Affairs, Department of Defense, and the National Cancer Institute's Applied Proteogenomics OrganizationaL Learning and Outcomes (APOLLO) Network.

Authors:  L D Fiore; H Rodriguez; C D Shriver
Journal:  Clin Pharmacol Ther       Date:  2017-05       Impact factor: 6.875

4.  Optimized Protocol for Quantitative Multiple Reaction Monitoring-Based Proteomic Analysis of Formalin-Fixed, Paraffin-Embedded Tissues.

Authors:  Jacob J Kennedy; Jeffrey R Whiteaker; Regine M Schoenherr; Ping Yan; Kimberly Allison; Melissa Shipley; Melissa Lerch; Andrew N Hoofnagle; Geoffrey Stuart Baird; Amanda G Paulovich
Journal:  J Proteome Res       Date:  2016-07-27       Impact factor: 4.466

5.  Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin.

Authors:  Katherine A Hoadley; Christina Yau; Denise M Wolf; Andrew D Cherniack; David Tamborero; Sam Ng; Max D M Leiserson; Beifang Niu; Michael D McLellan; Vladislav Uzunangelov; Jiashan Zhang; Cyriac Kandoth; Rehan Akbani; Hui Shen; Larsson Omberg; Andy Chu; Adam A Margolin; Laura J Van't Veer; Nuria Lopez-Bigas; Peter W Laird; Benjamin J Raphael; Li Ding; A Gordon Robertson; Lauren A Byers; Gordon B Mills; John N Weinstein; Carter Van Waes; Zhong Chen; Eric A Collisson; Christopher C Benz; Charles M Perou; Joshua M Stuart
Journal:  Cell       Date:  2014-08-07       Impact factor: 41.582

6.  Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins.

Authors:  Jacob J Kennedy; Susan E Abbatiello; Kyunggon Kim; Ping Yan; Jeffrey R Whiteaker; Chenwei Lin; Jun Seok Kim; Yuzheng Zhang; Xianlong Wang; Richard G Ivey; Lei Zhao; Hophil Min; Youngju Lee; Myeong-Hee Yu; Eun Gyeong Yang; Cheolju Lee; Pei Wang; Henry Rodriguez; Youngsoo Kim; Steven A Carr; Amanda G Paulovich
Journal:  Nat Methods       Date:  2013-12-08       Impact factor: 28.547

7.  Checkpoint blockade cancer immunotherapy targets tumour-specific mutant antigens.

Authors:  Matthew M Gubin; Xiuli Zhang; Heiko Schuster; Etienne Caron; Jeffrey P Ward; Takuro Noguchi; Yulia Ivanova; Jasreet Hundal; Cora D Arthur; Willem-Jan Krebber; Gwenn E Mulder; Mireille Toebes; Matthew D Vesely; Samuel S K Lam; Alan J Korman; James P Allison; Gordon J Freeman; Arlene H Sharpe; Erika L Pearce; Ton N Schumacher; Ruedi Aebersold; Hans-Georg Rammensee; Cornelis J M Melief; Elaine R Mardis; William E Gillanders; Maxim N Artyomov; Robert D Schreiber
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

8.  Proteome Profiling Outperforms Transcriptome Profiling for Coexpression Based Gene Function Prediction.

Authors:  Jing Wang; Zihao Ma; Steven A Carr; Philipp Mertins; Hui Zhang; Zhen Zhang; Daniel W Chan; Matthew J C Ellis; R Reid Townsend; Richard D Smith; Jason E McDermott; Xian Chen; Amanda G Paulovich; Emily S Boja; Mehdi Mesri; Christopher R Kinsinger; Henry Rodriguez; Karin D Rodland; Daniel C Liebler; Bing Zhang
Journal:  Mol Cell Proteomics       Date:  2016-11-11       Impact factor: 5.911

9.  Widespread intronic polyadenylation inactivates tumour suppressor genes in leukaemia.

Authors:  Shih-Han Lee; Irtisha Singh; Sarah Tisdale; Omar Abdel-Wahab; Christina S Leslie; Christine Mayr
Journal:  Nature       Date:  2018-08-27       Impact factor: 49.962

10.  Urine proteomics for discovery of improved diagnostic markers of Kawasaki disease.

Authors:  Alex Kentsis; Andrew Shulman; Saima Ahmed; Eileen Brennan; Michael C Monuteaux; Young-Ho Lee; Susan Lipsett; Joao A Paulo; Fatma Dedeoglu; Robert Fuhlbrigge; Richard Bachur; Gary Bradwin; Moshe Arditi; Robert P Sundel; Jane W Newburger; Hanno Steen; Susan Kim
Journal:  EMBO Mol Med       Date:  2012-12-20       Impact factor: 12.137

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  49 in total

1.  Automated Coupling of Nanodroplet Sample Preparation with Liquid Chromatography-Mass Spectrometry for High-Throughput Single-Cell Proteomics.

Authors:  Sarah M Williams; Andrey V Liyu; Chia-Feng Tsai; Ronald J Moore; Daniel J Orton; William B Chrisler; Matthew J Gaffrey; Tao Liu; Richard D Smith; Ryan T Kelly; Ljiljana Pasa-Tolic; Ying Zhu
Journal:  Anal Chem       Date:  2020-07-22       Impact factor: 6.986

2.  An Integrated Workflow for Global, Glyco-, and Phospho-proteomic Analysis of Tumor Tissues.

Authors:  Yangying Zhou; Tung-Shing Mamie Lih; Ganglong Yang; Shao-Yung Chen; Lijun Chen; Daniel W Chan; Hui Zhang; Qing Kay Li
Journal:  Anal Chem       Date:  2020-01-03       Impact factor: 6.986

3.  Precision Medicine in Pancreatic Disease-Knowledge Gaps and Research Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop.

Authors:  Mark E Lowe; Dana K Andersen; Richard M Caprioli; Jyoti Choudhary; Zobeida Cruz-Monserrate; Anil K Dasyam; Christopher E Forsmark; Fred S Gorelick; Joe W Gray; Mark Haupt; Kimberly A Kelly; Kenneth P Olive; Sylvia K Plevritis; Noa Rappaport; Holger R Roth; Hanno Steen; S Joshua Swamidass; Temel Tirkes; Aliye Uc; Kirill Veselkov; David C Whitcomb; Aida Habtezion
Journal:  Pancreas       Date:  2019 Nov/Dec       Impact factor: 3.327

Review 4.  Proteomics advances for precision therapy in ovarian cancer.

Authors:  Marilyne Labrie; Nicholas D Kendsersky; Hongli Ma; Lydia Campbell; Jennifer Eng; Koei Chin; Gordon B Mills
Journal:  Expert Rev Proteomics       Date:  2019-09-13       Impact factor: 3.940

5.  Simultaneous and quantitative monitoring transcription factors in human embryonic stem cell differentiation using mass spectrometry-based targeted proteomics.

Authors:  Mengying Xu; Lei Xu; Jianxiang Cao; Yechen Hu; Feifei Xu; Yan Liu; Yun Chen
Journal:  Anal Bioanal Chem       Date:  2021-03-02       Impact factor: 4.142

6.  Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy.

Authors:  Karsten Krug; Eric J Jaehnig; Shankha Satpathy; Lili Blumenberg; Alla Karpova; Meenakshi Anurag; George Miles; Philipp Mertins; Yifat Geffen; Lauren C Tang; David I Heiman; Song Cao; Yosef E Maruvka; Jonathan T Lei; Chen Huang; Ramani B Kothadia; Antonio Colaprico; Chet Birger; Jarey Wang; Yongchao Dou; Bo Wen; Zhiao Shi; Yuxing Liao; Maciej Wiznerowicz; Matthew A Wyczalkowski; Xi Steven Chen; Jacob J Kennedy; Amanda G Paulovich; Mathangi Thiagarajan; Christopher R Kinsinger; Tara Hiltke; Emily S Boja; Mehdi Mesri; Ana I Robles; Henry Rodriguez; Thomas F Westbrook; Li Ding; Gad Getz; Karl R Clauser; David Fenyö; Kelly V Ruggles; Bing Zhang; D R Mani; Steven A Carr; Matthew J Ellis; Michael A Gillette
Journal:  Cell       Date:  2020-11-18       Impact factor: 41.582

7.  Picoflow Liquid Chromatography-Mass Spectrometry for Ultrasensitive Bottom-Up Proteomics Using 2-μm-i.d. Open Tubular Columns.

Authors:  Piliang Xiang; Ying Zhu; Yu Yang; Zhitao Zhao; Sarah M Williams; Ronald J Moore; Ryan T Kelly; Richard D Smith; Shaorong Liu
Journal:  Anal Chem       Date:  2020-03-27       Impact factor: 6.986

Review 8.  Cancer therapies based on targeted protein degradation - lessons learned with lenalidomide.

Authors:  Max Jan; Adam S Sperling; Benjamin L Ebert
Journal:  Nat Rev Clin Oncol       Date:  2021-03-02       Impact factor: 66.675

Review 9.  Platelet Proteomes, Pathways, and Phenotypes as Informants of Vascular Wellness and Disease.

Authors:  Joseph E Aslan
Journal:  Arterioscler Thromb Vasc Biol       Date:  2021-01-14       Impact factor: 8.311

Review 10.  The next horizon in precision oncology: Proteogenomics to inform cancer diagnosis and treatment.

Authors:  Henry Rodriguez; Jean Claude Zenklusen; Louis M Staudt; James H Doroshow; Douglas R Lowy
Journal:  Cell       Date:  2021-04-01       Impact factor: 41.582

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