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Article Dans Une Revue Analytical Chemistry Année : 2022

Unsupervised Feature Selection by a Genetic Algorithm for Mid-Infrared Spectral Data

Warda Boutegrabet
Olivier Piot
Cyril Gobinet

Résumé

Colorectal cancer is one of the most common cancers, and diagnosis at late metastatic stages is the main cause of death related to this cancer. This progression to metastasis is complex and involves different molecules such as the chemokine CXCL12 and its two receptors CXCR4 and CXCR7. The high expression of receptors in CRC is often associated with a poor prognosis and aggressiveness of the tumor. The interaction of CXCL12 and its receptors activates signaling pathways that induce chemotaxis, proliferation, migration, and cell invasion. To this end, receptor inhibitors were developed, and their use in preclinical and clinical studies is ongoing. This review provides an overview of studies involving CXCR4 and CXCR7 in CRC with an update on their targeting in anti-cancer therapies.
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Dates et versions

hal-04284427 , version 1 (14-11-2023)

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Citer

Warda Boutegrabet, Olivier Piot, Dominique Guenot, Cyril Gobinet. Unsupervised Feature Selection by a Genetic Algorithm for Mid-Infrared Spectral Data. Analytical Chemistry, 2022, 94 (46), pp.16050-16059. ⟨10.1021/acs.analchem.2c03118⟩. ⟨hal-04284427⟩
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