Literature DB >> 29208646

A Serum Protein Signature Associated with Outcome after Anti-PD-1 Therapy in Metastatic Melanoma.

Jeffrey S Weber1, Mario Sznol2, Ryan J Sullivan3, Shauna Blackmon3, Genevieve Boland3, Harriet M Kluger2, Ruth Halaban2, Antonietta Bacchiocchi4, Paolo A Ascierto4, Mariaelena Capone4, Carlos Oliveira5, Krista Meyer5, Julia Grigorieva5, Senait G Asmellash5, Joanna Roder5, Heinrich Roder5.   

Abstract

A mass spectrometry analysis was performed using serum from patients receiving checkpoint inhibitors to define baseline protein signatures associated with outcome in metastatic melanoma. Pretreatment serum was obtained from a development set of 119 melanoma patients on a trial of nivolumab with or without a multipeptide vaccine and from patients receiving pembrolizumab, nivolumab, ipilimumab, or both nivolumab and ipilimumab. Spectra were obtained using matrix-assisted laser desorption/ionization time of flight mass spectrometry. These data combined with clinical data identified patients with better or worse outcomes. The test was applied to five independent patient cohorts treated with checkpoint inhibitors and its biology investigated using enrichment analyses. A signature consisting of 209 proteins or peptides was associated with progression-free and overall survival in a multivariate analysis. The test performance across validation cohorts was consistent with the development set results. A pooled analysis, stratified by set, demonstrated a significantly better overall survival for "sensitive" relative to "resistant" patients, HR = 0.15 (95% confidence interval: 0.06-0.40, P < 0.001). The test was also associated with survival in a cohort of ipilimumab-treated patients. Test classification was found to be associated with acute phase reactant, complement, and wound healing pathways. We conclude that a pretreatment signature of proteins, defined by mass spectrometry analysis and machine learning, predicted survival in patients receiving PD-1 blocking antibodies. This signature of proteins was associated with acute phase reactants and elements of wound healing and the complement cascade. This signature merits further study to determine if it identifies patients who would benefit from PD-1 blockade. Cancer Immunol Res; 6(1); 79-86. ©2017 AACR. ©2017 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 29208646     DOI: 10.1158/2326-6066.CIR-17-0412

Source DB:  PubMed          Journal:  Cancer Immunol Res        ISSN: 2326-6066            Impact factor:   11.151


  28 in total

Review 1.  The role of proteomics in the age of immunotherapies.

Authors:  Sarah A Hayes; Stephen Clarke; Nick Pavlakis; Viive M Howell
Journal:  Mamm Genome       Date:  2018-07-25       Impact factor: 2.957

2.  LAG-3 expression on peripheral blood cells identifies patients with poorer outcomes after immune checkpoint blockade.

Authors:  Ronglai Shen; Michael A Postow; Matthew Adamow; Arshi Arora; Margaret Hannum; Colleen Maher; Phillip Wong; Michael A Curran; Travis J Hollmann; Liwei Jia; Hikmat Al-Ahmadie; Niamh Keegan; Samuel A Funt; Gopa Iyer; Jonathan E Rosenberg; Dean F Bajorin; Paul B Chapman; Alexander N Shoushtari; Allison S Betof; Parisa Momtaz; Taha Merghoub; Jedd D Wolchok; Katherine S Panageas; Margaret K Callahan
Journal:  Sci Transl Med       Date:  2021-08-25       Impact factor: 19.319

3.  Explaining multivariate molecular diagnostic tests via Shapley values.

Authors:  Joanna Roder; Laura Maguire; Robert Georgantas; Heinrich Roder
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-08       Impact factor: 2.796

4.  Checkpoint Blockade: Not Yet NINJA Status in Ovarian Cancer.

Authors:  Rebecca L Porter; Ursula A Matulonis
Journal:  J Clin Oncol       Date:  2021-09-16       Impact factor: 44.544

Review 5.  Cutaneous melanoma dissemination is dependent on the malignant cell properties and factors of intercellular crosstalk in the cancer microenvironment (Review).

Authors:  Ondřej Kodet; Jan Kučera; Karolína Strnadová; Barbora Dvořánková; Jiří Štork; Lukáš Lacina; Karel Smetana
Journal:  Int J Oncol       Date:  2020-06-26       Impact factor: 5.650

6.  Serum interleukin-6 and C-reactive protein are associated with survival in melanoma patients receiving immune checkpoint inhibition.

Authors:  Andressa S Laino; David Woods; Melinda Vassallo; Xiaozhong Qian; Hao Tang; Megan Wind-Rotolo; Jeffrey Weber
Journal:  J Immunother Cancer       Date:  2020-06-23       Impact factor: 13.751

7.  A dropout-regularized classifier development approach optimized for precision medicine test discovery from omics data.

Authors:  Joanna Roder; Carlos Oliveira; Lelia Net; Maxim Tsypin; Benjamin Linstid; Heinrich Roder
Journal:  BMC Bioinformatics       Date:  2019-06-13       Impact factor: 3.169

8.  Blocking IL1 Beta Promotes Tumor Regression and Remodeling of the Myeloid Compartment in a Renal Cell Carcinoma Model: Multidimensional Analyses.

Authors:  David H Aggen; Casey R Ager; Aleksandar Z Obradovic; Nivedita Chowdhury; Ali Ghasemzadeh; Wendy Mao; Matthew G Chaimowitz; Zoila A Lopez-Bujanda; Catherine S Spina; Jessica E Hawley; Matthew C Dallos; Cheng Zhang; Vinson Wang; Hu Li; Xinzheng V Guo; Charles G Drake
Journal:  Clin Cancer Res       Date:  2020-11-04       Impact factor: 13.801

Review 9.  Surface-Enhanced Raman Spectroscopy for Cancer Immunotherapy Applications: Opportunities, Challenges, and Current Progress in Nanomaterial Strategies.

Authors:  Shuvashis Dey; Matt Trau; Kevin M Koo
Journal:  Nanomaterials (Basel)       Date:  2020-06-11       Impact factor: 5.076

Review 10.  Biomarkers for Clinical Benefit of Immune Checkpoint Inhibitor Treatment-A Review From the Melanoma Perspective and Beyond.

Authors:  Kristina Buder-Bakhaya; Jessica C Hassel
Journal:  Front Immunol       Date:  2018-06-28       Impact factor: 7.561

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.