Identification of tumor antigens in ovarian cancers using local and circulating tumor���specific antibodies

Autor: Masaru Hayashi, Andreas Behren, Alexander Lopata, Jessica Da Gama Duarte, Mariko Miyazawa, Luke Quigley, Nunzio Sebastiano Mancuso, Anna Rachel Young, Els N.T. Meeusen, Mikio Mikami
Rok vydání: 2022
Předmět:
Microarray
diagnosis
medicine.medical_treatment
protein microarrays
Targeted therapy
Cohort Studies
circulating antibodies
antibody-secreting B cells
Biology (General)
Spectroscopy
Uncategorized
Aged
80 and over
Ovarian Neoplasms
biology
General Medicine
Middle Aged
Prognosis
Adenocarcinoma
Mucinous
Computer Science Applications
Gene Expression Regulation
Neoplastic
Serous fluid
Chemistry
ovarian cancer
Protein microarray
Female
Antibody
Adult
QH301-705.5
Protein Array Analysis
Catalysis
Article
Inorganic Chemistry
Young Adult
Antigen
Antigens
Neoplasm
medicine
Biomarkers
Tumor
Humans
Physical and Theoretical Chemistry
Molecular Biology
QD1-999
Aged
Autoantibodies
business.industry
Organic Chemistry
Cancer
biomarkers
medicine.disease
Cystadenocarcinoma
Serous
Case-Control Studies
Cancer research
biology.protein
Ovarian cancer
business
Adenocarcinoma
Clear Cell
Follow-Up Studies
Zdroj: International Journal of Molecular Sciences, Vol 22, Iss 11220, p 11220 (2021)
International Journal of Molecular Sciences
Volume 22
Issue 20
DOI: 10.26181/19295594
Popis: Ovarian cancers include several disease subtypes and patients often present with advanced metastatic disease and a poor prognosis. New biomarkers for early diagnosis and targeted therapy are, therefore, urgently required. This study uses antibodies produced locally in tumor-draining lymph nodes (ASC probes) of individual ovarian cancer patients to screen two separate protein microarray platforms and identify cognate tumor antigens. The resulting antigen profiles were unique for each individual cancer patient and were used to generate a 50-antigen custom microarray. Serum from a separate cohort of ovarian cancer patients encompassing four disease subtypes was screened on the custom array and we identified 28.8% of all ovarian cancers, with a higher sensitivity for mucinous (50.0%) and serous (40.0%) subtypes. Combining local and circulating antibodies with high-density protein microarrays can identify novel, patient-specific tumor-associated antigens that may have diagnostic, prognostic or therapeutic uses in ovarian cancer.
Databáze: OpenAIRE
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