Screening of radiotracer for diagnosis of colorectal cancer liver metastasis based on MACC1-SPON2
Background Metastasis-associated in colon cancer 1 (MACC1) and Spondin2 (SPON2) are newly discovered oncogenes, but little is known about their role in colorectal cancer(CRC) liver metastases. PET has become an important molecular imaging technology due to its high sensitivity and quantifiability. I...
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| Veröffentlicht in: | Abdominal imaging 2021-07, Vol.46 (7), p.3227-3237 |
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| creator | Jiang, Hao Guo, Wei Huang, Kuan Jiang, Huijie Zhang, Rongjun Hu, Hongbo Lin, Xue Wang, Song |
| description | Background
Metastasis-associated in colon cancer 1 (MACC1) and Spondin2 (SPON2) are newly discovered oncogenes, but little is known about their role in colorectal cancer(CRC) liver metastases. PET has become an important molecular imaging technology due to its high sensitivity and quantifiability. In particular, its targeted, specific molecular probes can detect biological behaviors. This study was designed to evaluate the different biological properties of
18
F-FDG,
18
F-FLT, and
18
F-FMISO PET. The value of the CRC liver metastasis model explores the correlation and potential mechanisms of three tracers uptakes with tumor-related biological characteristics.
Methods
Human CRC cell lines(LoVo and HCT8), were cultured for in vitro radionuclide uptake experiments to compare the molecular imaging features of colorectal cancer cells with different metastatic potentials. Two kinds of cells were injected into the spleen of nude mice to establish a liver metastasis model. After the tumor formation, three kinds of tracer PET images were performed to evaluate the characteristics of live PET imaging of high and low liver metastasis colorectal cancer models. The expression levels of MACC1 and SPON2 in tissues were detected by immunohistochemistry and Western blot. Correlation between tracer uptake and expression of MACC1 and SPON2 in liver metastases was assessed by linear regression analysis.
Results
The uptake rate of in vitro three tracers uptake experiments was LoVo > HCT8. Micro-PET scan showed no significant difference between the
18
F-FDG SUV values of the two cells (
P
> 0.05); there was significant difference between the
18
F-FLT and
18
F-FMISO SUV values (
P
|
| doi_str_mv | 10.1007/s00261-021-03015-w |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8215036</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2501266072</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-995619461766de887e0f9b8c3d9d534a9f3a2722d9f6e0b5424813bec9d7ee413</originalsourceid><addsrcrecordid>eNp9kdtrFDEUxoMottT-Az7IgC--jJ7cJy9CWbxBtUIVfAuZ5MyaMpvUZLbF_96sW9fLg5AbnN_5cj4-Qh5TeE4B9IsKwBTtgbXNgcr-9h45ZlypHkAO9w9v8eWInNZ6BQBUSUqZfEiOONeUDUYfE3fpC2KKad3lqSsuxLwU57F0Uy5diG6dco11V_R5zgX94ubOu7RD5njTzg0urrbVqNFVDF1O3fuz1Yr2lx8vPrBH5MHk5oqnd_cJ-fz61afV2_784s271dl574UWS2-MVNQIRbVSAYdBI0xmHDwPJkgunJm4Y5qxYCaFMErBxED5iN4EjSgoPyEv97rX23GDwWNqRmZ7XeLGle82u2j_rqT41a7zjR0YlcBVE3h2J1Dyty3WxW5i9TjPLmHeVsskUKYUaNbQp_-gV3lbUrPXKMHbaDDsKLanfMm1FpwOw1CwuxDtPkTbQrQ_Q7S3renJnzYOLb8iawDfA7WV0hrL77__I_sDvMmndg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2543248082</pqid></control><display><type>article</type><title>Screening of radiotracer for diagnosis of colorectal cancer liver metastasis based on MACC1-SPON2</title><source>SpringerLink Journals</source><creator>Jiang, Hao ; Guo, Wei ; Huang, Kuan ; Jiang, Huijie ; Zhang, Rongjun ; Hu, Hongbo ; Lin, Xue ; Wang, Song</creator><creatorcontrib>Jiang, Hao ; Guo, Wei ; Huang, Kuan ; Jiang, Huijie ; Zhang, Rongjun ; Hu, Hongbo ; Lin, Xue ; Wang, Song</creatorcontrib><description>Background
Metastasis-associated in colon cancer 1 (MACC1) and Spondin2 (SPON2) are newly discovered oncogenes, but little is known about their role in colorectal cancer(CRC) liver metastases. PET has become an important molecular imaging technology due to its high sensitivity and quantifiability. In particular, its targeted, specific molecular probes can detect biological behaviors. This study was designed to evaluate the different biological properties of
18
F-FDG,
18
F-FLT, and
18
F-FMISO PET. The value of the CRC liver metastasis model explores the correlation and potential mechanisms of three tracers uptakes with tumor-related biological characteristics.
Methods
Human CRC cell lines(LoVo and HCT8), were cultured for in vitro radionuclide uptake experiments to compare the molecular imaging features of colorectal cancer cells with different metastatic potentials. Two kinds of cells were injected into the spleen of nude mice to establish a liver metastasis model. After the tumor formation, three kinds of tracer PET images were performed to evaluate the characteristics of live PET imaging of high and low liver metastasis colorectal cancer models. The expression levels of MACC1 and SPON2 in tissues were detected by immunohistochemistry and Western blot. Correlation between tracer uptake and expression of MACC1 and SPON2 in liver metastases was assessed by linear regression analysis.
Results
The uptake rate of in vitro three tracers uptake experiments was LoVo > HCT8. Micro-PET scan showed no significant difference between the
18
F-FDG SUV values of the two cells (
P
> 0.05); there was significant difference between the
18
F-FLT and
18
F-FMISO SUV values (
P
< 0.05). All in vivo FLT and FMISO SUV values were significantly higher in LoVo tumors than in HCT8 tumors. The results of Western blot and immunohistochemistry showed that the expression levels of MACC1 and SPON2 in LoVo liver metastasis were higher than those in HCT8 (
P
< 0.05). The
18
F-FLT SUVmax ratio was significantly correlated with the expression of MACC1 and SPON2 in hepatic metastases (r = 0.737,
P
= 0.0026; r = 0.842,
P
= 0.0002). The
18
F-FMISO SUVmax ratio was only significantly correlated with the expression of MACC1 in hepatic metastasis (r = 0.770,
P
= 0.0013).
Conclusions
Early screening with
18
F-FLT and
18
F-FMISO tracers has important clinical value for the efficient diagnosis and treatment of colorectal cancer liver metastases.</description><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-021-03015-w</identifier><identifier>PMID: 33712897</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Biological properties ; Colon ; Colon cancer ; Colorectal cancer ; Colorectal carcinoma ; Correlation ; Diagnosis ; Evaluation ; Fluorine isotopes ; Gastroenterology ; Hepatobiliary ; Hepatology ; Imaging ; Immunohistochemistry ; Liver ; Liver cancer ; Medical diagnosis ; Medical imaging ; Medicine ; Medicine & Public Health ; Metastases ; Metastasis ; Positron emission ; Positron emission tomography ; Radioactive tracers ; Radioisotopes ; Radiology ; Regression analysis ; Screening ; Spleen ; Tomography ; Tumors</subject><ispartof>Abdominal imaging, 2021-07, Vol.46 (7), p.3227-3237</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-995619461766de887e0f9b8c3d9d534a9f3a2722d9f6e0b5424813bec9d7ee413</citedby><cites>FETCH-LOGICAL-c474t-995619461766de887e0f9b8c3d9d534a9f3a2722d9f6e0b5424813bec9d7ee413</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00261-021-03015-w$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-021-03015-w$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33712897$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jiang, Hao</creatorcontrib><creatorcontrib>Guo, Wei</creatorcontrib><creatorcontrib>Huang, Kuan</creatorcontrib><creatorcontrib>Jiang, Huijie</creatorcontrib><creatorcontrib>Zhang, Rongjun</creatorcontrib><creatorcontrib>Hu, Hongbo</creatorcontrib><creatorcontrib>Lin, Xue</creatorcontrib><creatorcontrib>Wang, Song</creatorcontrib><title>Screening of radiotracer for diagnosis of colorectal cancer liver metastasis based on MACC1-SPON2</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>Background
Metastasis-associated in colon cancer 1 (MACC1) and Spondin2 (SPON2) are newly discovered oncogenes, but little is known about their role in colorectal cancer(CRC) liver metastases. PET has become an important molecular imaging technology due to its high sensitivity and quantifiability. In particular, its targeted, specific molecular probes can detect biological behaviors. This study was designed to evaluate the different biological properties of
18
F-FDG,
18
F-FLT, and
18
F-FMISO PET. The value of the CRC liver metastasis model explores the correlation and potential mechanisms of three tracers uptakes with tumor-related biological characteristics.
Methods
Human CRC cell lines(LoVo and HCT8), were cultured for in vitro radionuclide uptake experiments to compare the molecular imaging features of colorectal cancer cells with different metastatic potentials. Two kinds of cells were injected into the spleen of nude mice to establish a liver metastasis model. After the tumor formation, three kinds of tracer PET images were performed to evaluate the characteristics of live PET imaging of high and low liver metastasis colorectal cancer models. The expression levels of MACC1 and SPON2 in tissues were detected by immunohistochemistry and Western blot. Correlation between tracer uptake and expression of MACC1 and SPON2 in liver metastases was assessed by linear regression analysis.
Results
The uptake rate of in vitro three tracers uptake experiments was LoVo > HCT8. Micro-PET scan showed no significant difference between the
18
F-FDG SUV values of the two cells (
P
> 0.05); there was significant difference between the
18
F-FLT and
18
F-FMISO SUV values (
P
< 0.05). All in vivo FLT and FMISO SUV values were significantly higher in LoVo tumors than in HCT8 tumors. The results of Western blot and immunohistochemistry showed that the expression levels of MACC1 and SPON2 in LoVo liver metastasis were higher than those in HCT8 (
P
< 0.05). The
18
F-FLT SUVmax ratio was significantly correlated with the expression of MACC1 and SPON2 in hepatic metastases (r = 0.737,
P
= 0.0026; r = 0.842,
P
= 0.0002). The
18
F-FMISO SUVmax ratio was only significantly correlated with the expression of MACC1 in hepatic metastasis (r = 0.770,
P
= 0.0013).
Conclusions
Early screening with
18
F-FLT and
18
F-FMISO tracers has important clinical value for the efficient diagnosis and treatment of colorectal cancer liver metastases.</description><subject>Biological properties</subject><subject>Colon</subject><subject>Colon cancer</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Correlation</subject><subject>Diagnosis</subject><subject>Evaluation</subject><subject>Fluorine isotopes</subject><subject>Gastroenterology</subject><subject>Hepatobiliary</subject><subject>Hepatology</subject><subject>Imaging</subject><subject>Immunohistochemistry</subject><subject>Liver</subject><subject>Liver cancer</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Positron emission</subject><subject>Positron emission tomography</subject><subject>Radioactive tracers</subject><subject>Radioisotopes</subject><subject>Radiology</subject><subject>Regression analysis</subject><subject>Screening</subject><subject>Spleen</subject><subject>Tomography</subject><subject>Tumors</subject><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kdtrFDEUxoMottT-Az7IgC--jJ7cJy9CWbxBtUIVfAuZ5MyaMpvUZLbF_96sW9fLg5AbnN_5cj4-Qh5TeE4B9IsKwBTtgbXNgcr-9h45ZlypHkAO9w9v8eWInNZ6BQBUSUqZfEiOONeUDUYfE3fpC2KKad3lqSsuxLwU57F0Uy5diG6dco11V_R5zgX94ubOu7RD5njTzg0urrbVqNFVDF1O3fuz1Yr2lx8vPrBH5MHk5oqnd_cJ-fz61afV2_784s271dl574UWS2-MVNQIRbVSAYdBI0xmHDwPJkgunJm4Y5qxYCaFMErBxED5iN4EjSgoPyEv97rX23GDwWNqRmZ7XeLGle82u2j_rqT41a7zjR0YlcBVE3h2J1Dyty3WxW5i9TjPLmHeVsskUKYUaNbQp_-gV3lbUrPXKMHbaDDsKLanfMm1FpwOw1CwuxDtPkTbQrQ_Q7S3renJnzYOLb8iawDfA7WV0hrL77__I_sDvMmndg</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Jiang, Hao</creator><creator>Guo, Wei</creator><creator>Huang, Kuan</creator><creator>Jiang, Huijie</creator><creator>Zhang, Rongjun</creator><creator>Hu, Hongbo</creator><creator>Lin, Xue</creator><creator>Wang, Song</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210701</creationdate><title>Screening of radiotracer for diagnosis of colorectal cancer liver metastasis based on MACC1-SPON2</title><author>Jiang, Hao ; Guo, Wei ; Huang, Kuan ; Jiang, Huijie ; Zhang, Rongjun ; Hu, Hongbo ; Lin, Xue ; Wang, Song</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-995619461766de887e0f9b8c3d9d534a9f3a2722d9f6e0b5424813bec9d7ee413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Biological properties</topic><topic>Colon</topic><topic>Colon cancer</topic><topic>Colorectal cancer</topic><topic>Colorectal carcinoma</topic><topic>Correlation</topic><topic>Diagnosis</topic><topic>Evaluation</topic><topic>Fluorine isotopes</topic><topic>Gastroenterology</topic><topic>Hepatobiliary</topic><topic>Hepatology</topic><topic>Imaging</topic><topic>Immunohistochemistry</topic><topic>Liver</topic><topic>Liver cancer</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Positron emission</topic><topic>Positron emission tomography</topic><topic>Radioactive tracers</topic><topic>Radioisotopes</topic><topic>Radiology</topic><topic>Regression analysis</topic><topic>Screening</topic><topic>Spleen</topic><topic>Tomography</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Hao</creatorcontrib><creatorcontrib>Guo, Wei</creatorcontrib><creatorcontrib>Huang, Kuan</creatorcontrib><creatorcontrib>Jiang, Huijie</creatorcontrib><creatorcontrib>Zhang, Rongjun</creatorcontrib><creatorcontrib>Hu, Hongbo</creatorcontrib><creatorcontrib>Lin, Xue</creatorcontrib><creatorcontrib>Wang, Song</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Hao</au><au>Guo, Wei</au><au>Huang, Kuan</au><au>Jiang, Huijie</au><au>Zhang, Rongjun</au><au>Hu, Hongbo</au><au>Lin, Xue</au><au>Wang, Song</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Screening of radiotracer for diagnosis of colorectal cancer liver metastasis based on MACC1-SPON2</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>46</volume><issue>7</issue><spage>3227</spage><epage>3237</epage><pages>3227-3237</pages><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>Background
Metastasis-associated in colon cancer 1 (MACC1) and Spondin2 (SPON2) are newly discovered oncogenes, but little is known about their role in colorectal cancer(CRC) liver metastases. PET has become an important molecular imaging technology due to its high sensitivity and quantifiability. In particular, its targeted, specific molecular probes can detect biological behaviors. This study was designed to evaluate the different biological properties of
18
F-FDG,
18
F-FLT, and
18
F-FMISO PET. The value of the CRC liver metastasis model explores the correlation and potential mechanisms of three tracers uptakes with tumor-related biological characteristics.
Methods
Human CRC cell lines(LoVo and HCT8), were cultured for in vitro radionuclide uptake experiments to compare the molecular imaging features of colorectal cancer cells with different metastatic potentials. Two kinds of cells were injected into the spleen of nude mice to establish a liver metastasis model. After the tumor formation, three kinds of tracer PET images were performed to evaluate the characteristics of live PET imaging of high and low liver metastasis colorectal cancer models. The expression levels of MACC1 and SPON2 in tissues were detected by immunohistochemistry and Western blot. Correlation between tracer uptake and expression of MACC1 and SPON2 in liver metastases was assessed by linear regression analysis.
Results
The uptake rate of in vitro three tracers uptake experiments was LoVo > HCT8. Micro-PET scan showed no significant difference between the
18
F-FDG SUV values of the two cells (
P
> 0.05); there was significant difference between the
18
F-FLT and
18
F-FMISO SUV values (
P
< 0.05). All in vivo FLT and FMISO SUV values were significantly higher in LoVo tumors than in HCT8 tumors. The results of Western blot and immunohistochemistry showed that the expression levels of MACC1 and SPON2 in LoVo liver metastasis were higher than those in HCT8 (
P
< 0.05). The
18
F-FLT SUVmax ratio was significantly correlated with the expression of MACC1 and SPON2 in hepatic metastases (r = 0.737,
P
= 0.0026; r = 0.842,
P
= 0.0002). The
18
F-FMISO SUVmax ratio was only significantly correlated with the expression of MACC1 in hepatic metastasis (r = 0.770,
P
= 0.0013).
Conclusions
Early screening with
18
F-FLT and
18
F-FMISO tracers has important clinical value for the efficient diagnosis and treatment of colorectal cancer liver metastases.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>33712897</pmid><doi>10.1007/s00261-021-03015-w</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Abdominal imaging, 2021-07, Vol.46 (7), p.3227-3237 |
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| source | SpringerLink Journals |
| subjects | Biological properties Colon Colon cancer Colorectal cancer Colorectal carcinoma Correlation Diagnosis Evaluation Fluorine isotopes Gastroenterology Hepatobiliary Hepatology Imaging Immunohistochemistry Liver Liver cancer Medical diagnosis Medical imaging Medicine Medicine & Public Health Metastases Metastasis Positron emission Positron emission tomography Radioactive tracers Radioisotopes Radiology Regression analysis Screening Spleen Tomography Tumors |
| title | Screening of radiotracer for diagnosis of colorectal cancer liver metastasis based on MACC1-SPON2 |
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