Differentiating Borderline HER2-Expressing and HER2-Positive Cancers from Other Subtypes Using Serum Urokinase Plasminogen Activator
Lopez Mujica, M. E. J.; Boonkaew, S.; Christensen, N. L.; Pedersen, M. A.; Jorgensen, K. R.; Vendelbo, M.; Ferapontova, E.
Show abstract
BackgroundHER2-positive (HER2+) cancers are associated with aggressive tumor development but also high response rates to targeted blockade treatments of the HER-2/neu signaling pathway leading to improved clinical outcome for the patient. Current clinical analysis of the HER2 status primarily relies on solid tumor biopsies low-suitable for continuous real-time monitoring needed for possible adjustment of the treatment, while serum tests targeting blood-circulating HER-2/neu fragments often show conflicting tumor-serum relations. MethodsA cellulase-linked aptamer sandwich assay was used for detection of total urokinase plasminogen activator (uPA) and its different forms in serum of cancer patients and healthy individuals. Serum uPA levels were correlated with solid biopsy results and relevant clinical data extracted from electronic patient records, and FDG-PET/CT scanning. ResultsWe show that serum uPA allows precise stratification of patients with HER2+ cancers and cancers with HER2 borderline expression. Serum levels of total uPA 96.6% accurately informed about HER2+ tumor status in a cohort of 85 patients, with a HER2+ cut-off value of 0.976 ng mL-1. ConclusionsThe established liquid biopsy test for serum uPA has potential for accurate diagnosis and staging of patients with HER2+ cancers and "borderline" cancers requiring further confirmatory (or rejection) testing.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Composite proteomic and metabolomic plasma biomarkers for detection of colorectal, lung and ovarian cancers 94%
- Non-invasive lung cancer diagnosis and prognosis based on multi-analyte liquid biopsy 92%
- IGF2BP1 induces high-risk neuroblastoma and forms a druggable feedforward loop with MYCN promoting 17q oncogene expression 91%
Similar papers in this journal
- Protein profiling of breast carcinomas reveals expression of immune-suppressive factors and signatures relevant to patient outcome 93%
- Altered plasma, urine, and tissue profiles of sulfatides and sphingomyelins in patients with renal cell carcinoma 92%
- Neutrophil extracellular trap formation correlates with improved overall survival in ovarian cancer 92%
Similar papers in this journal
- A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes 94%
- Targeting SLC7A11-mediated cysteine metabolism for the treatment of trastuzumab resistant HER2 positive breast cancer 93%
- A Large-Scale Proteomics Resource of Circulating Extracellular Vesicles for Biomarker Discovery in Pancreatic Cancer 92%
Similar papers in this journal
- Proteogenomic Characterization of Triple-Negative Apocrine Carcinoma Reveals Molecular Features of Progression and Chemotherapy Response 94%
- Lossless Single-Molecule Counting To Absolute QuantifyProteoforms 93%
- Bioinformatic Screen with Clinical Validation for the Identification of Novel Stool Based mRNA Biomarkers for the Detection of Colorectal Lesions Including Advanced Precancerous Lesions 92%
Similar papers in this journal
- Cyclic Microchip Assay for Measurement of Hundreds of Functional Proteins in Single Neurons 92%
- Artificial intelligence-based histopathology image analysis identifies a novel subset of endometrial cancers with distinct genomic features and unfavourable outcome 92%
- Lipidomic profiling of human serum enables detection of pancreatic cancer 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.