Article ; Online: Biomarkers to guide immunomodulatory treatment: where do we stand?
Expert review of molecular diagnostics
2023 Volume 23, Issue 11, Page(s) 945–958
Abstract: Introduction: This review summarizes current progress in the development of biomarkers to guide immunotherapy in oncology, rheumatology, and critical illness.: Areas covered: An extensive literature search was performed about biomarkers classifying ... ...
Abstract | Introduction: This review summarizes current progress in the development of biomarkers to guide immunotherapy in oncology, rheumatology, and critical illness. Areas covered: An extensive literature search was performed about biomarkers classifying patients' immune responses to guide immunotherapy in oncology, rheumatology, and critical illness. Surface markers, such as programmed death-ligand 1 (PD-L1), genetic biomarkers, such as tumor mutation load, and circulating tumor DNA are biomarkers associated with the effectiveness of immunotherapy in oncology. Genomics, metabolomics, and proteomics play a crucial role in selecting the most suitable therapeutic options for rheumatologic patients. Phenotypes and endotypes are a promising approach to detect critically ill patients with hyper- or hypo-inflammation. Sepsis trials using biomarkers such as ferritin, lymphopenia, HLA-DR expression on monocytes and PD-L1 to guide immunotherapy have been already conducted or are currently ongoing. Immunotherapy in COVID-19 pneumonia, guided by C-reactive protein and soluble urokinase plasminogen activator receptor (suPAR) has improved patient outcomes globally. More research is needed into immunotherapy in other critical conditions. Expert opinion: Targeted immunotherapy has improved outcomes in oncology and rheumatology, paving the way for precision medicine in the critically ill. Transcriptomics will play a crucial role in detecting the most suitable candidates for immunomodulation. |
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Language | English |
Publishing date | 2023-09-10 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2112530-2 |
ISSN | 1744-8352 ; 1473-7159 |
ISSN (online) | 1744-8352 |
ISSN | 1473-7159 |
DOI | 10.1080/14737159.2023.2258063 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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