ArticleCancers2022
Extracellular Vesicle Membrane Protein Profiling and Targeted Mass Spectrometry Unveil CD59 and Tetraspanin 9 as Novel Plasma Biomarkers for Detection of Colorectal Cancer.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 28 citations in OpenAlex.
- Challenges and Opportunities in State-of-the-Art Proteomics Analysis for Biomarker Development From Plasma Extracellular Vesicles.Proteomics · 2026Review
- Tissue-derived extracellular vesicles: comparing Ts-EVs and Te-EVs in extraction, characteristics and research trends.Cancer cell international · 2026Review
- Exosomes in Clinical Laboratory: From Biomarker Discovery to Diagnostic Implementation.Medicina (Kaunas, Lithuania) · 2025Review
- Extracellular vesicles in colorectal cancer.Annals of coloproctology · 2025Review
- Plasma POSTN Derived From Bile Proteome Is a Promising Biomarker for Cholangiocarcinoma With Efficacy Comparable and Complementary to CA19.9.United European gastroenterology journal · 2025Article
- Extracellular Vesicles for Clinical Diagnostics: From Bulk Measurements to Single-Vesicle Analysis.ACS nano · 2025Review
- TSPAN9 inhibits malignant progression of hepatocellular carcinoma.Translational cancer research · 2025Article
- Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence.Scientific reports · 2025Article
- Advances in extracellular vesicle (EV) biomarkers for precision diagnosis and therapeutic in colorectal cancer.Frontiers in oncology · 2025Review
- The potential of exosomes in regenerative medicine and in the diagnosis and therapies of neurodegenerative diseases and cancer.Frontiers in medicine · 2025Review
- Article
- Tetraspanins in digestive‑system cancers: Expression, function and therapeutic potential (Review).Molecular medicine reports · 2024Review
- Analyzing Extracellular Vesicle-associated DNA Using Transmission Electron Microscopy at the Single EV-level.Current protocols · 2024Article
- Blood-Derived Extracellular Vesicles as a Promising Liquid Biopsy Diagnostic Tool for Early Cancer Detection.Biomolecules · 2024Review
- Association of complement components with risk of colorectal cancer: A systematic review and meta-analysis.World journal of gastrointestinal oncology · 2024Article
- Tspan protein family: focusing on the occurrence, progression, and treatment of cancer.Cell death discovery · 2024Review
- The role of Tetraspanins in digestive system tumor development: update and emerging evidence.Frontiers in cell and developmental biology · 2024Review
- Cancer cell invasion alters the protein profile of extracellular vesicles.Journal of extracellular biology · 2023Article
- Proteomic Signature of Extracellular Vesicles Associated with Colorectal Cancer.Molecules (Basel, Switzerland) · 2023Article
- The application of extracellular vesicles in colorectal cancer metastasis and drug resistance: recent advances and trends.Journal of nanobiotechnology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Extracellular vesicles (EVs) are valuable sources for the discovery of useful cancer biomarkers. This study explores the potential usefulness of tumor cell-derived EV membrane proteins as plasma biomarkers for early detection of colorectal cancer (CRC). EVs were isolated from the culture supernatants of four CRC cell lines by ultracentrifugation, and their protein profiles were analyzed by LC-MS/MS. Bioinformatics analysis of identified proteins revealed 518 EV membrane proteins in common among at least three CRC cell lines. We next used accurate inclusion mass screening (AIMS) in parallel with iTRAQ-based quantitative proteomic analysis to highlight candidate proteins and validated their presence in pooled plasma-generated EVs from 30 healthy controls and 30 CRC patients. From these, we chose 14 potential EV-derived targets for further quantification by targeted MS assay in a separate individual cohort comprising of 73 CRC and 80 healthy subjects. Quantitative analyses revealed significant increases in ADAM10, CD59 and TSPAN9 levels (2.19- to 5.26-fold, p < 0.0001) in plasma EVs from CRC patients, with AUC values of 0.83, 0.95 and 0.87, respectively. Higher EV CD59 levels were significantly correlated with distant metastasis (p = 0.0475), and higher EV TSPAN9 levels were significantly associated with lymph node metastasis (p = 0.0011), distant metastasis at diagnosis (p = 0.0104) and higher TNM stage (p = 0.0065). A two-marker panel consisting of CD59 and TSPAN9 outperformed the conventional marker CEA in discriminating CRC and stage I/II CRC patients from healthy controls, with AUC values of 0.98 and 0.99, respectively. Our results identify EV membrane proteins in common among CRC cell lines and altered plasma EV protein profiles in CRC patients and suggest plasma EV CD59 and TSPAN9 as a novel biomarker panel for detecting early-stage CRC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.