4.3 Review

Recent advances in mass spectrometry based clinical proteomics: applications to cancer research

Journal

CLINICAL PROTEOMICS
Volume 17, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12014-020-09283-w

Keywords

Clinical proteomics; Mass spectrometry; Cancer; Biomarker discovery; Targeted assay; Proteogenomics

Funding

  1. National Cancer Institute Early Detection Research Network [1U01CA214194-01]
  2. Ontario Ministry of Health and Long-Term Care

Ask authors/readers for more resources

Cancer biomarkers have transformed current practices in the oncology clinic. Continued discovery and validation are crucial for improving early diagnosis, risk stratification, and monitoring patient response to treatment. Profiling of the tumour genome and transcriptome are now established tools for the discovery of novel biomarkers, but alterations in proteome expression are more likely to reflect changes in tumour pathophysiology. In the past, clinical diagnostics have strongly relied on antibody-based detection strategies, but these methods carry certain limitations. Mass spectrometry (MS) is a powerful method that enables increasingly comprehensive insights into changes of the proteome to advance personalized medicine. In this review, recent improvements in MS-based clinical proteomics are highlighted with a focus on oncology. We will provide a detailed overview of clinically relevant samples types, as well as, consideration for sample preparation methods, protein quantitation strategies, MS configurations, and data analysis pipelines currently available to researchers. Critical consideration of each step is necessary to address the pressing clinical questions that advance cancer patient diagnosis and prognosis. While the majority of studies focus on the discovery of clinically-relevant biomarkers, there is a growing demand for rigorous biomarker validation. These studies focus on high-throughput targeted MS assays and multi-centre studies with standardized protocols. Additionally, improvements in MS sensitivity are opening the door to new classes of tumour-specific proteoforms including post-translational modifications and variants originating from genomic aberrations. Overlaying proteomic data to complement genomic and transcriptomic datasets forges the growing field of proteogenomics, which shows great potential to improve our understanding of cancer biology. Overall, these advancements not only solidify MS-based clinical proteomics' integral position in cancer research, but also accelerate the shift towards becoming a regular component of routine analysis and clinical practice.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Biochemical Research Methods

Addressing Cellular Heterogeneity in Cancer through Precision Proteomics

Matthew Waas, Thomas Kislinger

JOURNAL OF PROTEOME RESEARCH (2020)

Article Biochemical Research Methods

Targeted Mass Spectrometry of a Clinically Relevant PSA Variant from Post-DRE Urines for Quantitation and Genotype Determination

Joseph J. Otto, Vanessa L. Correll, Hampus A. Engstroem, Naomi L. Hitefield, Brian P. Main, Brenna Albracht, Teresa Johnson-Pais, Li Fang Yang, Michael Liss, Paul C. Boutros, Thomas Kislinger, Robin J. Leach, Oliver J. Semmes, Julius O. Nyalwidhe

PROTEOMICS CLINICAL APPLICATIONS (2020)

Article Multidisciplinary Sciences

Functionally selective activation of the dopamine receptor D2 is mirrored by the protein expression profiles

Deborah Wenk, Vladimir Ignatchenko, Andrew Macklin, Harald Huebner, Peter Gmeiner, Dorothee Weikert, Monika Pischetsrieder, Thomas Kislinger

Summary: The study found that biased and balanced dopamine D-2 receptor agonists and antagonists can impact the global protein expression in cells, with antagonists affecting exocytosis and peroxisome function, while balanced agonists leading to downregulation of proteins involved in synaptic signaling.

SCIENTIFIC REPORTS (2021)

Article Biochemical Research Methods

Rat Sciatic Nerve Axoplasm Proteome Is Enriched with Ribosomal Proteins during Regeneration Processes

Andres Di Paolo, Joaquina Farias, Joaquin Garat, Andrew Macklin, Vladimir Ignatchenko, Thomas Kislinger, Jose Sotelo Silveira

Summary: In this study, proteomic analysis was used to investigate axons in adult rat sciatic nerves, revealing an increase in ribosomal proteins after injury and newly synthesized axonal proteins. The results suggest that proteomics profiling is an effective method for interrogating axons, and that ribosomal proteins may play an important role during injury.

JOURNAL OF PROTEOME RESEARCH (2021)

Article Multidisciplinary Sciences

A clinically applicable integrative molecular classification of meningiomas

Farshad Nassiri, Jeff Liu, Vikas Patil, Yasin Mamatjan, Justin Z. Wang, Rupert Hugh-White, Andrew M. Macklin, Shahbaz Khan, Olivia Singh, Shirin Karimi, Rosario I. Corona, Lydia Y. Liu, Caroline Y. Chen, Ankur Chakravarthy, Qingxia Wei, Bharati Mehani, Suganth Suppiah, Andrew Gao, Adriana M. Workewych, Ghazaleh Tabatabai, Paul C. Boutros, Gary D. Bader, Daniel D. de Carvalho, Thomas Kislinger, Kenneth Aldape, Gelareh Zadeh

Summary: Meningiomas, the most common primary intracranial tumor in adults, often require surgery due to lack of effective medical therapies. This study introduced four consensus molecular groups of meningioma, which accurately predicted clinical outcomes and informed therapeutic options. Single-cell RNA sequencing revealed inter-individual variations in meningioma biology, highlighting the importance of molecular classification in guiding treatment strategies.

NATURE (2021)

Review Urology & Nephrology

Proteomic discovery of non-invasive biomarkers of localized prostate cancer using mass spectrometry

Amanda Khoo, Lydia Y. Liu, Julius O. Nyalwidhe, O. John Semmes, Danny Vesprini, Michelle R. Downes, Paul C. Boutros, Stanley K. Liu, Thomas Kislinger

Summary: Prostate cancer patients urgently need biomarkers to improve risk stratification, as current clinical prognostic tools are not accurate enough. Mass spectrometry technologies enable systematic discovery and validation of protein-based biomarkers in relevant fluids. Existing protein biomarkers for diagnosis, prognosis, and relapse-monitoring in localized prostate cancer are predominantly centered around PSA and its variants.

NATURE REVIEWS UROLOGY (2021)

Article Biochemical Research Methods

A proteomic investigation of isogenic radiation resistant prostate cancer cell lines

Natalie Kurganovs, Hanzhi Wang, Xiaoyong Huang, Vladimir Ignatchenko, Andrew Macklin, Shahbaz Khan, Michelle R. Downes, Paul C. Boutros, Stanley K. Liu, Thomas Kislinger

Summary: Proteomic analysis of DU145 prostate cancer cells revealed over 400 differentially expressed proteins in radiation resistant cell lines, with enrichment in pathways such as epithelial to mesenchymal transition, glycolysis, and hypoxia. The cell surface protein CD44 was identified as a potential therapeutic target in the glycolysis and epithelial to mesenchymal transition pathways among the radiation resistant protein candidates.

PROTEOMICS CLINICAL APPLICATIONS (2021)

Article Biochemistry & Molecular Biology

Spatially confined sub-tumor microenvironments in pancreatic cancer

Barbara T. Grunwald, Antoine Devisme, Geoffroy Andrieux, Foram Vyas, Kazeera Aliar, Curtis W. McCloskey, Andrew Macklin, Gun Ho Jang, Robert Denroche, Joan Miguel Romero, Prashant Bavi, Peter Bronsert, Faiyaz Notta, Grainne O'Kane, Julie Wilson, Jennifer Knox, Laura Tamblyn, Molly Udaskin, Nikolina Radulovich, Sandra E. Fischer, Melanie Boerries, Steven Gallinger, Thomas Kislinger, Rama Khokha

Summary: Through large-scale integration of histology-guided regional multiOMICs with clinical data and patient-derived preclinical models, we identified distinct subTMEs in the human pancreatic tumor microenvironment (TME) that are linked to tumor immunity, subtypes, differentiation, and treatment response. Reactive subTMEs rich in coordinated fibroblast communities were immune hot, while matrix-rich deserted subTMEs harbored fewer activated fibroblasts but showed chemoprotective features. These subTMEs originated in fibroblast differentiation trajectories and produced patient-specific heterogeneity tightly linked to malignant biology.
Article Oncology

DNA methylation-based prognostic subtypes of chordoma tumors in tissue and plasma

Jeffrey A. Zuccato, Vikas Patil, Sheila Mansouri, Jeffrey C. Liu, Farshad Nassiri, Yasin Mamatjan, Ankur Chakravarthy, Shirin Karimi, Joao Paulo Almeida, Anne-Laure Bernat, Mohammed Hasen, Olivia Singh, Shahbaz Khan, Thomas Kislinger, Namita Sinha, Sebastien Froelich, Homa Adle-Biassette, Kenneth D. Aldape, Daniel D. De Carvalho, Gelareh Zadeh

Summary: This study identifies prognostic epigenetic chordoma subtypes using plasma methylomes and may transform patient management by balancing treatment aggressiveness with patient risk according to prognosis. Plasma methylomes can distinguish chordomas from other clinical diagnoses and accurately classify tumors based on plasma methylation data.

NEURO-ONCOLOGY (2022)

Article Oncology

CD70 as an actionable immunotherapeutic target in recurrent glioblastoma and its microenvironment

Mathieu Seyfrid, William Thomas Maich, Vaseem Muhammad Shaikh, Nazanin Tatari, Deepak Upreti, Deween Piyasena, Minomi Subapanditha, Neil Savage, Dillon McKenna, Nicholas Mikolajewicz, Hong Han, Chirayu Chokshi, Laura Kuhlmann, Amanda Khoo, Sabra Khalid Salim, Blessing Archibong-Bassey, William Gwynne, Kevin Brown, Nadeem Murtaza, David Bakhshinyan, Parvez Vora, Chitra Venugopal, Jason Moffat, Thomas Kislinger, Sheila Singh

Summary: This study identifies CD70 as a potential therapeutic target for recurrent glioblastoma stem cells (CSCs). Targeting CD70 with CAR-T therapy significantly improves prognosis in animal models and the CD70/CD27 axis may provide a viable polytherapeutic avenue for targeting both glioblastoma and its tumor immune microenvironment.

JOURNAL FOR IMMUNOTHERAPY OF CANCER (2022)

Article Cell Biology

Optimization of small extracellular vesicle isolation from expressed prostatic secretions in urine for in-depth proteomic analysis

Vanessa L. Correll, Joseph J. Otto, Cristina M. Risi, Brian P. Main, Paul C. Boutros, Thomas Kislinger, Vitold E. Galkin, Julius O. Nyalwidhe, O. John Semmes, Lifang Yang

Summary: Isolation and analysis of extracellular vesicles (EVs) from urine samples is a common strategy for studying vesicle biology and biomarker discovery. However, standard EV isolation methods often co-isolate protein contaminants and high levels of uromodulin (THP) in urine can reduce EV yield. In this study, a modified isolation method was developed to improve EV isolation and enrich prostate cancer-associated EV-resident proteins.

JOURNAL OF EXTRACELLULAR VESICLES (2022)

Article Biochemical Research Methods

Glycoproteomics Identifies Plexin-B3 as a Targetable Cell Surface Protein Required for the Growth and Invasion of Triple-Negative Breast Cancer Cells

Laura Kuhlmann, Meinusha Govindarajan, Salvador Mejia-Guerrero, Vladimir Ignatchenko, Lydia Y. Liu, Barbara T. Grunwald, Jennifer Cruickshank, Hal Berman, Rama Khokha, Thomas Kislinger

Summary: This study identified a previously undescribed TNBC-enriched cell surface protein, PLXNB3, through N-glycoproteome analysis, and demonstrated its crucial role in the growth, invasion, and migration of TNBC cells.

JOURNAL OF PROTEOME RESEARCH (2022)

Article Biochemistry & Molecular Biology

Proteomics of High-Grade Serous Ovarian Cancer Models Identifies Cancer-Associated Fibroblast Markers Associated with Clinical Outcomes

Meinusha Govindarajan, Vladimir Ignatchenko, Laurie Ailles, Thomas Kislinger

Summary: The tumor microenvironment, particularly cancer-associated fibroblasts (CAFs), plays a crucial role in the progression of high-grade serous ovarian cancer (HGSC). In this study, we used mass-spectrometry to analyze the proteomes of HGSC patient-derived CAFs and compared them with the epithelial component of HGSC, aiming to understand their tumor-promoting characteristics. By integrating our data with primary tissue data, we identified a proteomic signature of HGSC CAFs and discovered several novel CAF proteins that have prognostic value in an independent HGSC patient cohort. This study provides the first MS-based global proteomic characterization of CAFs in HGSC and emphasizes the clinical significance of HGSC CAFs.

BIOMOLECULES (2023)

Article Endocrinology & Metabolism

Mammary epithelial cells have lineage-rooted metabolic identities

Mathepan Jeya Mahendralingam, Hyeyeon Kim, Curtis William McCloskey, Kazeera Aliar, Alison Elisabeth Casey, Pirashaanthy Tharmapalan, Davide Pellacani, Vladimir Ignatchenko, Mar Garcia-Valero, Luis Palomero, Ankit Sinha, Jennifer Cruickshank, Ronak Shetty, Ravi N. Vellanki, Marianne Koritzinsky, Vid Stambolic, Mina Alam, Aaron David Schimmer, Hal Kenneth Berman, Connie J. Eaves, Miquel Angel Pujana, Thomas Kislinger, Rama Khokha

Summary: Cancer cells adapt their metabolic network from the tissue of origin. Normal mammary cells exhibit diverse metabolic programs, with basal cells enriched in glycolysis and luminal progenitors in oxidative phosphorylation. Targeting these metabolic vulnerabilities in mammary progenitors could potentially advance breast cancer therapy, as breast cancer subtypes retain metabolic features of their putative cell of origin.

NATURE METABOLISM (2021)

No Data Available