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Prognosis and immunotherapy in melanoma based on selenoprotein k-related signature
•SELENOK was involved in regulating of ERS, lipid metabolism, and immune cell infiltration in melanoma.•Melanoma with a high SELENOK level had a higher immune cell infiltration and a better prognosis.•The risk model based on SELENOK signature genes provided an accurate prognosis prediction for melan...
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Published in: | International immunopharmacology 2024-08, Vol.137, p.112436, Article 112436 |
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description | •SELENOK was involved in regulating of ERS, lipid metabolism, and immune cell infiltration in melanoma.•Melanoma with a high SELENOK level had a higher immune cell infiltration and a better prognosis.•The risk model based on SELENOK signature genes provided an accurate prognosis prediction for melanoma.
Selenium and selenoproteins are closely related to melanoma progression. However, it is unclear how SELENOK affects lipid metabolism, endoplasmic reticulum stress (ERS), immune cell infiltration, survival, and prognosis in melanoma patients. Transcriptome data from melanoma patients was used to investigate SELENOK levels and their effect on prognosis, followed by an investigation of SELENOK’s effects on immune cell infiltration. Furthermore, a risk model based on ERS, lipid metabolism, and immune-related genes was constructed, and its utility in melanoma prognosis was evaluated. Finally, the drug sensitivity of the risk model was analyzed to provide a reference for melanoma therapy. The results showed that melanoma with a high SELENOK level had a greater degree of immune cell infiltration and a better prognosis. Additionally, SELENOK was found to regulate ERS, lipid metabolism, and immune cell infiltration in melanoma. The risk model based on SELENOK signature genes successfully predicted the prognosis of melanoma, and the low-risk group exhibited a favorable immunological microenvironment. Furthermore, high-risk patients with melanoma were candidates for chemotherapy with RAS pathway inhibitors, whereas low-risk patients were more susceptible to routinely used chemotherapy medicines. In summary, SELENOK was shown to regulate ERS, lipid metabolism, and immune cell infiltration in melanoma, and SELENOK was positively associated with the prognosis of melanoma. The risk model based on SELENOK signature genes was valuable for melanoma prognosis and therapy. |
doi_str_mv | 10.1016/j.intimp.2024.112436 |
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Selenium and selenoproteins are closely related to melanoma progression. However, it is unclear how SELENOK affects lipid metabolism, endoplasmic reticulum stress (ERS), immune cell infiltration, survival, and prognosis in melanoma patients. Transcriptome data from melanoma patients was used to investigate SELENOK levels and their effect on prognosis, followed by an investigation of SELENOK’s effects on immune cell infiltration. Furthermore, a risk model based on ERS, lipid metabolism, and immune-related genes was constructed, and its utility in melanoma prognosis was evaluated. Finally, the drug sensitivity of the risk model was analyzed to provide a reference for melanoma therapy. The results showed that melanoma with a high SELENOK level had a greater degree of immune cell infiltration and a better prognosis. Additionally, SELENOK was found to regulate ERS, lipid metabolism, and immune cell infiltration in melanoma. The risk model based on SELENOK signature genes successfully predicted the prognosis of melanoma, and the low-risk group exhibited a favorable immunological microenvironment. Furthermore, high-risk patients with melanoma were candidates for chemotherapy with RAS pathway inhibitors, whereas low-risk patients were more susceptible to routinely used chemotherapy medicines. In summary, SELENOK was shown to regulate ERS, lipid metabolism, and immune cell infiltration in melanoma, and SELENOK was positively associated with the prognosis of melanoma. The risk model based on SELENOK signature genes was valuable for melanoma prognosis and therapy.</description><identifier>ISSN: 1567-5769</identifier><identifier>ISSN: 1878-1705</identifier><identifier>EISSN: 1878-1705</identifier><identifier>DOI: 10.1016/j.intimp.2024.112436</identifier><identifier>PMID: 38857552</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Endoplasmic reticulum stress ; Immune infiltration ; Lipid metabolism ; Melanoma ; Selenoprotein K</subject><ispartof>International immunopharmacology, 2024-08, Vol.137, p.112436, Article 112436</ispartof><rights>2024 Elsevier B.V.</rights><rights>Copyright © 2024 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c241t-571de2953915d0e771328375d25f01f5f50b5d1affa9b6de5ae2a48209dc8c863</cites><orcidid>0000-0002-4563-917X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38857552$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Xia, Huan</creatorcontrib><creatorcontrib>Wang, Yongmei</creatorcontrib><creatorcontrib>Han, Shuang</creatorcontrib><creatorcontrib>Liu, Yongfen</creatorcontrib><creatorcontrib>Zhu, Shengzhang</creatorcontrib><creatorcontrib>Wu, Yongjin</creatorcontrib><creatorcontrib>Luo, Jimin</creatorcontrib><creatorcontrib>Dai, Jie</creatorcontrib><creatorcontrib>Jia, Yi</creatorcontrib><title>Prognosis and immunotherapy in melanoma based on selenoprotein k-related signature</title><title>International immunopharmacology</title><addtitle>Int Immunopharmacol</addtitle><description>•SELENOK was involved in regulating of ERS, lipid metabolism, and immune cell infiltration in melanoma.•Melanoma with a high SELENOK level had a higher immune cell infiltration and a better prognosis.•The risk model based on SELENOK signature genes provided an accurate prognosis prediction for melanoma.
Selenium and selenoproteins are closely related to melanoma progression. However, it is unclear how SELENOK affects lipid metabolism, endoplasmic reticulum stress (ERS), immune cell infiltration, survival, and prognosis in melanoma patients. Transcriptome data from melanoma patients was used to investigate SELENOK levels and their effect on prognosis, followed by an investigation of SELENOK’s effects on immune cell infiltration. Furthermore, a risk model based on ERS, lipid metabolism, and immune-related genes was constructed, and its utility in melanoma prognosis was evaluated. Finally, the drug sensitivity of the risk model was analyzed to provide a reference for melanoma therapy. The results showed that melanoma with a high SELENOK level had a greater degree of immune cell infiltration and a better prognosis. Additionally, SELENOK was found to regulate ERS, lipid metabolism, and immune cell infiltration in melanoma. The risk model based on SELENOK signature genes successfully predicted the prognosis of melanoma, and the low-risk group exhibited a favorable immunological microenvironment. Furthermore, high-risk patients with melanoma were candidates for chemotherapy with RAS pathway inhibitors, whereas low-risk patients were more susceptible to routinely used chemotherapy medicines. In summary, SELENOK was shown to regulate ERS, lipid metabolism, and immune cell infiltration in melanoma, and SELENOK was positively associated with the prognosis of melanoma. The risk model based on SELENOK signature genes was valuable for melanoma prognosis and therapy.</description><subject>Endoplasmic reticulum stress</subject><subject>Immune infiltration</subject><subject>Lipid metabolism</subject><subject>Melanoma</subject><subject>Selenoprotein K</subject><issn>1567-5769</issn><issn>1878-1705</issn><issn>1878-1705</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE1PxCAQhonRuOvqPzCmRy-tQAu0FxOz8Ssx0Rg9E1qmK2sLK7Qm--9l09WjJwjzDPPOg9A5wRnBhF-tM2MH028yimmREUKLnB-gOSlFmRKB2WG8My5SJng1QychrDGO7wU5RrO8LJlgjM7R64t3K-uCCYmyOjF9P1o3fIBXm21ibNJDp6zrVVKrADpxNgnQgXUb7waI9c_UR2KIpWBWVg2jh1N01KouwNn-XKD3u9u35UP69Hz_uLx5ShtakCHmIhpoxfKKMI1BCJLTMhdMU9Zi0rKW4ZppotpWVTXXwBRQVZQUV7opm5LnC3Q5_RuzfI0QBtmb0EAXA4Mbg8wx56KimOcRLSa08S4ED63ceNMrv5UEy51NuZaTTbmzKSebse1iP2Gse9B_Tb_6InA9ARD3_DbgZWgM2Aa08dAMUjvz_4QfgrqIkA</recordid><startdate>20240820</startdate><enddate>20240820</enddate><creator>Liu, Yang</creator><creator>Xia, Huan</creator><creator>Wang, Yongmei</creator><creator>Han, Shuang</creator><creator>Liu, Yongfen</creator><creator>Zhu, Shengzhang</creator><creator>Wu, Yongjin</creator><creator>Luo, Jimin</creator><creator>Dai, Jie</creator><creator>Jia, Yi</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4563-917X</orcidid></search><sort><creationdate>20240820</creationdate><title>Prognosis and immunotherapy in melanoma based on selenoprotein k-related signature</title><author>Liu, Yang ; Xia, Huan ; Wang, Yongmei ; Han, Shuang ; Liu, Yongfen ; Zhu, Shengzhang ; Wu, Yongjin ; Luo, Jimin ; Dai, Jie ; Jia, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c241t-571de2953915d0e771328375d25f01f5f50b5d1affa9b6de5ae2a48209dc8c863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Endoplasmic reticulum stress</topic><topic>Immune infiltration</topic><topic>Lipid metabolism</topic><topic>Melanoma</topic><topic>Selenoprotein K</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Xia, Huan</creatorcontrib><creatorcontrib>Wang, Yongmei</creatorcontrib><creatorcontrib>Han, Shuang</creatorcontrib><creatorcontrib>Liu, Yongfen</creatorcontrib><creatorcontrib>Zhu, Shengzhang</creatorcontrib><creatorcontrib>Wu, Yongjin</creatorcontrib><creatorcontrib>Luo, Jimin</creatorcontrib><creatorcontrib>Dai, Jie</creatorcontrib><creatorcontrib>Jia, Yi</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>International immunopharmacology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Yang</au><au>Xia, Huan</au><au>Wang, Yongmei</au><au>Han, Shuang</au><au>Liu, Yongfen</au><au>Zhu, Shengzhang</au><au>Wu, Yongjin</au><au>Luo, Jimin</au><au>Dai, Jie</au><au>Jia, Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognosis and immunotherapy in melanoma based on selenoprotein k-related signature</atitle><jtitle>International immunopharmacology</jtitle><addtitle>Int Immunopharmacol</addtitle><date>2024-08-20</date><risdate>2024</risdate><volume>137</volume><spage>112436</spage><pages>112436-</pages><artnum>112436</artnum><issn>1567-5769</issn><issn>1878-1705</issn><eissn>1878-1705</eissn><abstract>•SELENOK was involved in regulating of ERS, lipid metabolism, and immune cell infiltration in melanoma.•Melanoma with a high SELENOK level had a higher immune cell infiltration and a better prognosis.•The risk model based on SELENOK signature genes provided an accurate prognosis prediction for melanoma.
Selenium and selenoproteins are closely related to melanoma progression. However, it is unclear how SELENOK affects lipid metabolism, endoplasmic reticulum stress (ERS), immune cell infiltration, survival, and prognosis in melanoma patients. Transcriptome data from melanoma patients was used to investigate SELENOK levels and their effect on prognosis, followed by an investigation of SELENOK’s effects on immune cell infiltration. Furthermore, a risk model based on ERS, lipid metabolism, and immune-related genes was constructed, and its utility in melanoma prognosis was evaluated. Finally, the drug sensitivity of the risk model was analyzed to provide a reference for melanoma therapy. The results showed that melanoma with a high SELENOK level had a greater degree of immune cell infiltration and a better prognosis. Additionally, SELENOK was found to regulate ERS, lipid metabolism, and immune cell infiltration in melanoma. The risk model based on SELENOK signature genes successfully predicted the prognosis of melanoma, and the low-risk group exhibited a favorable immunological microenvironment. Furthermore, high-risk patients with melanoma were candidates for chemotherapy with RAS pathway inhibitors, whereas low-risk patients were more susceptible to routinely used chemotherapy medicines. In summary, SELENOK was shown to regulate ERS, lipid metabolism, and immune cell infiltration in melanoma, and SELENOK was positively associated with the prognosis of melanoma. The risk model based on SELENOK signature genes was valuable for melanoma prognosis and therapy.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>38857552</pmid><doi>10.1016/j.intimp.2024.112436</doi><orcidid>https://orcid.org/0000-0002-4563-917X</orcidid></addata></record> |
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subjects | Endoplasmic reticulum stress Immune infiltration Lipid metabolism Melanoma Selenoprotein K |
title | Prognosis and immunotherapy in melanoma based on selenoprotein k-related signature |
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