Residual Tissue Repositories Suitable for MS-Based Proteomics
|
By LabMedica International staff writers Posted on 12 Sep 2018 |

Image: The Q Exactive hybrid quadrupole-orbitrap mass spectrometer (Photo courtesy of Thermo Fisher Scientific).
Mass spectrometry-based proteomics has become a powerful tool for the identification and quantification of proteins from a wide variety of biological specimens.
The majority of studies utilizing tissue samples have been carried out on prospectively collected fresh frozen or optimal cutting temperature (OCT) embedded specimens. However, such specimens are often difficult to obtain, in limited in supply, and clinical information and outcomes on patients are inherently delayed as compared to banked samples.
Scientists from the Pacific Northwest National Laboratory (Richland, WA, USA) and their colleagues analyzed 60 patient samples taken from the NCI's Surveillance, Epidemiology, and End Results (SEER) residual tissue repositories, which contain samples from more than 100,000 cancer patients, along with detailed demographic information, data on tumor characteristics, treatment, survival, and cause of death. The 60 samples ranged in their time of storage from seven to 32 years.
The team used 10-plex tandem mass tag (TMT) labeling and divided each sample into six fractions, each of which they then ran on a 100-minute nanoLC gradient upfront of analysis on a Q-Exactive Plus instrument. For phosphopeptide analysis, they used Immobilized Metal Affinity Chromatography (IMAC) enrichment. They found that all 60 samples provided sufficient material for proteome-wide protein expression analysis and 18 of the 60 samples provided enough material for phosphopeptide work.
The investigators identified and quantified a total of 8,582 proteins and 8,073 phosphopeptides across the SEER sample set, indicating that FFPE tissue is amenable to mass spec proteomics analysis. Protein identifications were reduced compared to the identifications possible in comparable optimal cutting temperature (OCT) compound-embedded specimens. Compared to OCT samples, peptide, protein, and phosphopeptide identifications were reduced by 50%, 20%, and 76%, respectively.
Karin D, Rodland, PhD, an expert in mass spectrometry and a senior author of the study, said, “There have been commercial kits available for 12 to 15 years for extracting proteins out of FFPE blocks, and on the face of it, the yields of protein from the FFPE blocks is not that bad. But with the mass spec technologies of 12 to 15 years ago, the rate of identification was very low. You just didn't get good [proteome] coverage out of FFPE blocks. And the assumption was that the formalin crosslinking was causing you to lose identifications. However, improvements in mass spec technology have provided instruments with higher sensitivity and better resolution that are capable of working with smaller amounts of sample.” The study was published on August 3, 2018, in the journal Clinical Proteomics.
Related Links:
Pacific Northwest National Laboratory
The majority of studies utilizing tissue samples have been carried out on prospectively collected fresh frozen or optimal cutting temperature (OCT) embedded specimens. However, such specimens are often difficult to obtain, in limited in supply, and clinical information and outcomes on patients are inherently delayed as compared to banked samples.
Scientists from the Pacific Northwest National Laboratory (Richland, WA, USA) and their colleagues analyzed 60 patient samples taken from the NCI's Surveillance, Epidemiology, and End Results (SEER) residual tissue repositories, which contain samples from more than 100,000 cancer patients, along with detailed demographic information, data on tumor characteristics, treatment, survival, and cause of death. The 60 samples ranged in their time of storage from seven to 32 years.
The team used 10-plex tandem mass tag (TMT) labeling and divided each sample into six fractions, each of which they then ran on a 100-minute nanoLC gradient upfront of analysis on a Q-Exactive Plus instrument. For phosphopeptide analysis, they used Immobilized Metal Affinity Chromatography (IMAC) enrichment. They found that all 60 samples provided sufficient material for proteome-wide protein expression analysis and 18 of the 60 samples provided enough material for phosphopeptide work.
The investigators identified and quantified a total of 8,582 proteins and 8,073 phosphopeptides across the SEER sample set, indicating that FFPE tissue is amenable to mass spec proteomics analysis. Protein identifications were reduced compared to the identifications possible in comparable optimal cutting temperature (OCT) compound-embedded specimens. Compared to OCT samples, peptide, protein, and phosphopeptide identifications were reduced by 50%, 20%, and 76%, respectively.
Karin D, Rodland, PhD, an expert in mass spectrometry and a senior author of the study, said, “There have been commercial kits available for 12 to 15 years for extracting proteins out of FFPE blocks, and on the face of it, the yields of protein from the FFPE blocks is not that bad. But with the mass spec technologies of 12 to 15 years ago, the rate of identification was very low. You just didn't get good [proteome] coverage out of FFPE blocks. And the assumption was that the formalin crosslinking was causing you to lose identifications. However, improvements in mass spec technology have provided instruments with higher sensitivity and better resolution that are capable of working with smaller amounts of sample.” The study was published on August 3, 2018, in the journal Clinical Proteomics.
Related Links:
Pacific Northwest National Laboratory
Latest Technology News
- Robotic Technology Unveiled for Automated Diagnostic Blood Draws
- ADLM Launches First-of-Its-Kind Data Science Program for Laboratory Medicine Professionals
- Aptamer Biosensor Technology to Transform Virus Detection
- AI Models Could Predict Pre-Eclampsia and Anemia Earlier Using Routine Blood Tests
- AI-Generated Sensors Open New Paths for Early Cancer Detection
- Pioneering Blood Test Detects Lung Cancer Using Infrared Imaging
- AI Predicts Colorectal Cancer Survival Using Clinical and Molecular Features
- Diagnostic Chip Monitors Chemotherapy Effectiveness for Brain Cancer
- Machine Learning Models Diagnose ALS Earlier Through Blood Biomarkers
- Artificial Intelligence Model Could Accelerate Rare Disease Diagnosis
Channels
Clinical Chemistry
view channel
New PSA-Based Prognostic Model Improves Prostate Cancer Risk Assessment
Prostate cancer is the second-leading cause of cancer death among American men, and about one in eight will be diagnosed in their lifetime. Screening relies on blood levels of prostate-specific antigen... Read more
Extracellular Vesicles Linked to Heart Failure Risk in CKD Patients
Chronic kidney disease (CKD) affects more than 1 in 7 Americans and is strongly associated with cardiovascular complications, which account for more than half of deaths among people with CKD.... Read moreMolecular Diagnostics
view channel
Diagnostic Device Predicts Treatment Response for Brain Tumors Via Blood Test
Glioblastoma is one of the deadliest forms of brain cancer, largely because doctors have no reliable way to determine whether treatments are working in real time. Assessing therapeutic response currently... Read more
Blood Test Detects Early-Stage Cancers by Measuring Epigenetic Instability
Early-stage cancers are notoriously difficult to detect because molecular changes are subtle and often missed by existing screening tools. Many liquid biopsies rely on measuring absolute DNA methylation... Read more
“Lab-On-A-Disc” Device Paves Way for More Automated Liquid Biopsies
Extracellular vesicles (EVs) are tiny particles released by cells into the bloodstream that carry molecular information about a cell’s condition, including whether it is cancerous. However, EVs are highly... Read more
Blood Test Identifies Inflammatory Breast Cancer Patients at Increased Risk of Brain Metastasis
Brain metastasis is a frequent and devastating complication in patients with inflammatory breast cancer, an aggressive subtype with limited treatment options. Despite its high incidence, the biological... Read moreHematology
view channel
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read more
Fast and Easy Test Could Revolutionize Blood Transfusions
Blood transfusions are a cornerstone of modern medicine, yet red blood cells can deteriorate quietly while sitting in cold storage for weeks. Although blood units have a fixed expiration date, cells from... Read more
Automated Hemostasis System Helps Labs of All Sizes Optimize Workflow
High-volume hemostasis sections must sustain rapid turnaround while managing reruns and reflex testing. Manual tube handling and preanalytical checks can strain staff time and increase opportunities for error.... Read more
High-Sensitivity Blood Test Improves Assessment of Clotting Risk in Heart Disease Patients
Blood clotting is essential for preventing bleeding, but even small imbalances can lead to serious conditions such as thrombosis or dangerous hemorrhage. In cardiovascular disease, clinicians often struggle... Read moreImmunology
view channelBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease
Alzheimer’s disease affects approximately 6.7 million people in the United States and nearly 50 million worldwide, yet early cognitive decline remains difficult to characterize. Increasing evidence suggests... Read moreAI-Powered Platform Enables Rapid Detection of Drug-Resistant C. Auris Pathogens
Infections caused by the pathogenic yeast Candida auris pose a significant threat to hospitalized patients, particularly those with weakened immune systems or those who have invasive medical devices.... Read morePathology
view channel
Engineered Yeast Cells Enable Rapid Testing of Cancer Immunotherapy
Developing new cancer immunotherapies is a slow, costly, and high-risk process, particularly for CAR T cell treatments that must precisely recognize cancer-specific antigens. Small differences in tumor... Read more
First-Of-Its-Kind Test Identifies Autism Risk at Birth
Autism spectrum disorder is treatable, and extensive research shows that early intervention can significantly improve cognitive, social, and behavioral outcomes. Yet in the United States, the average age... Read moreIndustry
view channelNew Collaboration Brings Automated Mass Spectrometry to Routine Laboratory Testing
Mass spectrometry is a powerful analytical technique that identifies and quantifies molecules based on their mass and electrical charge. Its high selectivity, sensitivity, and accuracy make it indispensable... Read more
AI-Powered Cervical Cancer Test Set for Major Rollout in Latin America
Noul Co., a Korean company specializing in AI-based blood and cancer diagnostics, announced it will supply its intelligence (AI)-based miLab CER cervical cancer diagnostic solution to Mexico under a multi‑year... Read more
Diasorin and Fisher Scientific Enter into US Distribution Agreement for Molecular POC Platform
Diasorin (Saluggia, Italy) has entered into an exclusive distribution agreement with Fisher Scientific, part of Thermo Fisher Scientific (Waltham, MA, USA), for the LIAISON NES molecular point-of-care... Read more







 Analyzer.jpg)