Identification of Biomarkers Associated with Liver Metastasis Progression from Colorectal Cancer Using Exosomal RNA Profiling
This study aimed to identify novel biomarkers for metastatic colorectal cancer progression using exosomal RNA expression profiling. The exosomal RNA expression profiles of 54 patients with mCRC were investigated. Exosomal RNA profiling was performed at the time of relapse immediately before metastas...
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| Veröffentlicht in: | Cancers 2022-09, Vol.14 (19), p.4723 |
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| creator | Lee, Soohyeon Park, Young Soo Kim, Jwa Hoon Lim, Ah Reum Hyun, Myung Han Kim, Boyeon Lee, Jong Won Lee, Saet Byeol Kim, Yeul Hong |
| description | This study aimed to identify novel biomarkers for metastatic colorectal cancer progression using exosomal RNA expression profiling. The exosomal RNA expression profiles of 54 patients with mCRC were investigated. Exosomal RNA profiling was performed at the time of relapse immediately before metastasectomy and cancer recurrence or progression after metastasectomy. The up- and down-regulated RNA expression profiles were screened and analyzed using H-cluster, principle component analysis and gene ontology. The tissue expression profile of the liver metastases was compared with the GSE 41258 set using GSEA tools. We identified two distinctive biological process gene sets (IFNA and PCDB families) related to metastatic progression. The interferon-α response gene set was enriched, especially when the tumor volume was ≥1 cm3. CXCL10, CXCL11 and SAMD 9 mRNA were highly expressed in the plasma exosome samples of patients with mCRC to the liver. Furthermore, high expression of CXCL10 but not CXCL11 or SAMD9 was associated with a poor prognosis and shorter progression-free survival. Conclusions: Cancer-derived exosomal CXCL10 may be a novel biomarker for liver metastasis of mCRC and a potential target for the prevention and treatment of mCRC with liver metastasis. |
| doi_str_mv | 10.3390/cancers14194723 |
| format | Article |
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The exosomal RNA expression profiles of 54 patients with mCRC were investigated. Exosomal RNA profiling was performed at the time of relapse immediately before metastasectomy and cancer recurrence or progression after metastasectomy. The up- and down-regulated RNA expression profiles were screened and analyzed using H-cluster, principle component analysis and gene ontology. The tissue expression profile of the liver metastases was compared with the GSE 41258 set using GSEA tools. We identified two distinctive biological process gene sets (IFNA and PCDB families) related to metastatic progression. The interferon-α response gene set was enriched, especially when the tumor volume was ≥1 cm3. CXCL10, CXCL11 and SAMD 9 mRNA were highly expressed in the plasma exosome samples of patients with mCRC to the liver. Furthermore, high expression of CXCL10 but not CXCL11 or SAMD9 was associated with a poor prognosis and shorter progression-free survival. Conclusions: Cancer-derived exosomal CXCL10 may be a novel biomarker for liver metastasis of mCRC and a potential target for the prevention and treatment of mCRC with liver metastasis.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers14194723</identifier><identifier>PMID: 36230645</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Biological markers ; Biomarkers ; Cancer ; Cancer therapies ; Chemotherapy ; Colorectal cancer ; Colorectal carcinoma ; Complications and side effects ; CXCL10 protein ; CXCL11 protein ; Diagnosis ; Drug resistance ; Exosomes ; Gene expression ; Genetic aspects ; Health aspects ; Liver ; Liver cancer ; Metastases ; Metastasis ; mRNA ; Ontology ; Patients ; Principal components analysis ; Risk factors ; RNA ; Software ; Statistical analysis ; Tumors ; α-Interferon</subject><ispartof>Cancers, 2022-09, Vol.14 (19), p.4723</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c465t-fa00c2f18b447297a13fd5347a9110a84a28a777ecbd4cea1c24229fd03ca1a23</citedby><cites>FETCH-LOGICAL-c465t-fa00c2f18b447297a13fd5347a9110a84a28a777ecbd4cea1c24229fd03ca1a23</cites><orcidid>0000-0001-9665-062X ; 0000-0001-9530-3204 ; 0000-0003-4481-5415 ; 0000-0002-2203-3634 ; 0000-0002-2555-2333</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562015/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562015/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids></links><search><creatorcontrib>Lee, Soohyeon</creatorcontrib><creatorcontrib>Park, Young Soo</creatorcontrib><creatorcontrib>Kim, Jwa Hoon</creatorcontrib><creatorcontrib>Lim, Ah Reum</creatorcontrib><creatorcontrib>Hyun, Myung Han</creatorcontrib><creatorcontrib>Kim, Boyeon</creatorcontrib><creatorcontrib>Lee, Jong Won</creatorcontrib><creatorcontrib>Lee, Saet Byeol</creatorcontrib><creatorcontrib>Kim, Yeul Hong</creatorcontrib><title>Identification of Biomarkers Associated with Liver Metastasis Progression from Colorectal Cancer Using Exosomal RNA Profiling</title><title>Cancers</title><description>This study aimed to identify novel biomarkers for metastatic colorectal cancer progression using exosomal RNA expression profiling. The exosomal RNA expression profiles of 54 patients with mCRC were investigated. Exosomal RNA profiling was performed at the time of relapse immediately before metastasectomy and cancer recurrence or progression after metastasectomy. The up- and down-regulated RNA expression profiles were screened and analyzed using H-cluster, principle component analysis and gene ontology. The tissue expression profile of the liver metastases was compared with the GSE 41258 set using GSEA tools. We identified two distinctive biological process gene sets (IFNA and PCDB families) related to metastatic progression. The interferon-α response gene set was enriched, especially when the tumor volume was ≥1 cm3. CXCL10, CXCL11 and SAMD 9 mRNA were highly expressed in the plasma exosome samples of patients with mCRC to the liver. Furthermore, high expression of CXCL10 but not CXCL11 or SAMD9 was associated with a poor prognosis and shorter progression-free survival. Conclusions: Cancer-derived exosomal CXCL10 may be a novel biomarker for liver metastasis of mCRC and a potential target for the prevention and treatment of mCRC with liver metastasis.</description><subject>Biological markers</subject><subject>Biomarkers</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Complications and side effects</subject><subject>CXCL10 protein</subject><subject>CXCL11 protein</subject><subject>Diagnosis</subject><subject>Drug resistance</subject><subject>Exosomes</subject><subject>Gene expression</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Liver</subject><subject>Liver cancer</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>mRNA</subject><subject>Ontology</subject><subject>Patients</subject><subject>Principal components analysis</subject><subject>Risk factors</subject><subject>RNA</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Tumors</subject><subject>α-Interferon</subject><issn>2072-6694</issn><issn>2072-6694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptks1vFCEYxonR2Kb27JXEi5dt-ZphuJism1abbNUYeybvMi9b6gxUmK168H-XsY21jUACgef58T4EQl5ydiSlYccOosNcuOJGaSGfkH3BtFi0rVFP_1nvkcNSrlhtUnLd6udkT7ZCslY1--TXWY9xCj44mEKKNHn6NqQR8tdKpstSkgswYU-_h-mSrsMNZnqOE5Q6QqGfctpmLGW2-pxGukpDyugmGOjqT3n0ooS4pSc_UqnYgX7-sJxdPgx1-wV55mEoeHg3H5CL05Mvq_eL9cd3Z6vleuFU20wLD4w54Xm3UTWo0cCl7xupNBjOGXQKRAdaa3SbXjkE7oQSwvieSQcchDwgb26517vNiL2rkTMM9jqHmvSnTRDsw5MYLu023VjTtILxpgJe3wFy-rbDMtkxFIfDABHTrlihRcON7Dpepa8eSa_SLscab1bNdammu1dtYUAbok_1XjdD7VKrRmiuzcw6-o-q9h7H4FLE-oz40HB8a3A5lZLR_83ImZ0_jX30aeRv32G1cA</recordid><startdate>20220928</startdate><enddate>20220928</enddate><creator>Lee, Soohyeon</creator><creator>Park, Young Soo</creator><creator>Kim, Jwa Hoon</creator><creator>Lim, Ah Reum</creator><creator>Hyun, Myung Han</creator><creator>Kim, Boyeon</creator><creator>Lee, Jong Won</creator><creator>Lee, Saet Byeol</creator><creator>Kim, Yeul Hong</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7TO</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9665-062X</orcidid><orcidid>https://orcid.org/0000-0001-9530-3204</orcidid><orcidid>https://orcid.org/0000-0003-4481-5415</orcidid><orcidid>https://orcid.org/0000-0002-2203-3634</orcidid><orcidid>https://orcid.org/0000-0002-2555-2333</orcidid></search><sort><creationdate>20220928</creationdate><title>Identification of Biomarkers Associated with Liver Metastasis Progression from Colorectal Cancer Using Exosomal RNA Profiling</title><author>Lee, Soohyeon ; 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The exosomal RNA expression profiles of 54 patients with mCRC were investigated. Exosomal RNA profiling was performed at the time of relapse immediately before metastasectomy and cancer recurrence or progression after metastasectomy. The up- and down-regulated RNA expression profiles were screened and analyzed using H-cluster, principle component analysis and gene ontology. The tissue expression profile of the liver metastases was compared with the GSE 41258 set using GSEA tools. We identified two distinctive biological process gene sets (IFNA and PCDB families) related to metastatic progression. The interferon-α response gene set was enriched, especially when the tumor volume was ≥1 cm3. CXCL10, CXCL11 and SAMD 9 mRNA were highly expressed in the plasma exosome samples of patients with mCRC to the liver. Furthermore, high expression of CXCL10 but not CXCL11 or SAMD9 was associated with a poor prognosis and shorter progression-free survival. Conclusions: Cancer-derived exosomal CXCL10 may be a novel biomarker for liver metastasis of mCRC and a potential target for the prevention and treatment of mCRC with liver metastasis.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>36230645</pmid><doi>10.3390/cancers14194723</doi><orcidid>https://orcid.org/0000-0001-9665-062X</orcidid><orcidid>https://orcid.org/0000-0001-9530-3204</orcidid><orcidid>https://orcid.org/0000-0003-4481-5415</orcidid><orcidid>https://orcid.org/0000-0002-2203-3634</orcidid><orcidid>https://orcid.org/0000-0002-2555-2333</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Biological markers Biomarkers Cancer Cancer therapies Chemotherapy Colorectal cancer Colorectal carcinoma Complications and side effects CXCL10 protein CXCL11 protein Diagnosis Drug resistance Exosomes Gene expression Genetic aspects Health aspects Liver Liver cancer Metastases Metastasis mRNA Ontology Patients Principal components analysis Risk factors RNA Software Statistical analysis Tumors α-Interferon |
| title | Identification of Biomarkers Associated with Liver Metastasis Progression from Colorectal Cancer Using Exosomal RNA Profiling |
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