Identification of Potential Biomarkers for Cancer Cachexia and Anti-Fn14 Therapy

Background: Developing therapies for cancer cachexia has not been successful to date, in part due to the challenges of achieving robust quantitative measures as a readout of patient treatment. Hence, identifying biomarkers to assess the outcomes of treatments for cancer cachexia is of great interest...

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Main Authors: Zhipeng Cao, Ingrid J. Burvenich, Kening Zhao, Clare Senko, Jason Glab, Renee Fogliaro, Zhanqi Liu, Irvin Jose, Hamsa Puthalakath, Nick J. Hoogenraad, Laura D. Osellame, Andrew M. Scott
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Cancers
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Online Access:https://www.mdpi.com/2072-6694/14/22/5533
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author Zhipeng Cao
Ingrid J. Burvenich
Kening Zhao
Clare Senko
Jason Glab
Renee Fogliaro
Zhanqi Liu
Irvin Jose
Hamsa Puthalakath
Nick J. Hoogenraad
Laura D. Osellame
Andrew M. Scott
author_facet Zhipeng Cao
Ingrid J. Burvenich
Kening Zhao
Clare Senko
Jason Glab
Renee Fogliaro
Zhanqi Liu
Irvin Jose
Hamsa Puthalakath
Nick J. Hoogenraad
Laura D. Osellame
Andrew M. Scott
author_sort Zhipeng Cao
collection DOAJ
description Background: Developing therapies for cancer cachexia has not been successful to date, in part due to the challenges of achieving robust quantitative measures as a readout of patient treatment. Hence, identifying biomarkers to assess the outcomes of treatments for cancer cachexia is of great interest and important for accelerating future clinical trials. Methods: We established a novel xenograft model for cancer cachexia with a cachectic human PC3* cell line, which was responsive to anti-Fn14 mAb treatment. Using RNA-seq and secretomic analysis, genes differentially expressed in cachectic and non-cachectic tumors were identified and validated by digital droplet PCR (ddPCR). Correlation analysis was performed to investigate their impact on survival in cancer patients. Results: A total of 46 genes were highly expressed in cachectic PC3* tumors, which were downregulated by anti-Fn14 mAb treatment. High expression of the top 10 candidates was correlated with low survival and high cachexia risk in different cancer types. Elevated levels of LCN2 were observed in serum samples from cachectic patients compared with non-cachectic cancer patients. Conclusion: The top 10 candidates identified in this study are candidates as potential biomarkers for cancer cachexia. The diagnostic value of LCN2 in detecting cancer cachexia is confirmed in patient samples.
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spelling doaj.art-2fd640a0d7d04510b8fc849a8913b9c02023-11-24T07:52:41ZengMDPI AGCancers2072-66942022-11-011422553310.3390/cancers14225533Identification of Potential Biomarkers for Cancer Cachexia and Anti-Fn14 TherapyZhipeng Cao0Ingrid J. Burvenich1Kening Zhao2Clare Senko3Jason Glab4Renee Fogliaro5Zhanqi Liu6Irvin Jose7Hamsa Puthalakath8Nick J. Hoogenraad9Laura D. Osellame10Andrew M. Scott11Department of Biochemistry and Genetics, La Trobe University, Melbourne, VIC 3086, AustraliaTumour Targeting Laboratory, Olivia Newton-John Cancer Research Institute, School of Cancer Medicine, La Trobe University, Melbourne, VIC 3084, AustraliaDepartment of Biochemistry and Genetics, La Trobe University, Melbourne, VIC 3086, AustraliaTumour Targeting Laboratory, Olivia Newton-John Cancer Research Institute, School of Cancer Medicine, La Trobe University, Melbourne, VIC 3084, AustraliaDepartment of Biochemistry and Genetics, La Trobe University, Melbourne, VIC 3086, AustraliaDepartment of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC 3084, AustraliaTumour Targeting Laboratory, Olivia Newton-John Cancer Research Institute, School of Cancer Medicine, La Trobe University, Melbourne, VIC 3084, AustraliaDepartment of Biochemistry and Genetics, La Trobe University, Melbourne, VIC 3086, AustraliaDepartment of Biochemistry and Genetics, La Trobe University, Melbourne, VIC 3086, AustraliaDepartment of Biochemistry and Genetics, La Trobe University, Melbourne, VIC 3086, AustraliaDepartment of Biochemistry and Genetics, La Trobe University, Melbourne, VIC 3086, AustraliaTumour Targeting Laboratory, Olivia Newton-John Cancer Research Institute, School of Cancer Medicine, La Trobe University, Melbourne, VIC 3084, AustraliaBackground: Developing therapies for cancer cachexia has not been successful to date, in part due to the challenges of achieving robust quantitative measures as a readout of patient treatment. Hence, identifying biomarkers to assess the outcomes of treatments for cancer cachexia is of great interest and important for accelerating future clinical trials. Methods: We established a novel xenograft model for cancer cachexia with a cachectic human PC3* cell line, which was responsive to anti-Fn14 mAb treatment. Using RNA-seq and secretomic analysis, genes differentially expressed in cachectic and non-cachectic tumors were identified and validated by digital droplet PCR (ddPCR). Correlation analysis was performed to investigate their impact on survival in cancer patients. Results: A total of 46 genes were highly expressed in cachectic PC3* tumors, which were downregulated by anti-Fn14 mAb treatment. High expression of the top 10 candidates was correlated with low survival and high cachexia risk in different cancer types. Elevated levels of LCN2 were observed in serum samples from cachectic patients compared with non-cachectic cancer patients. Conclusion: The top 10 candidates identified in this study are candidates as potential biomarkers for cancer cachexia. The diagnostic value of LCN2 in detecting cancer cachexia is confirmed in patient samples.https://www.mdpi.com/2072-6694/14/22/5533cancer cachexiabiomarkerRNA-seqLCN2
spellingShingle Zhipeng Cao
Ingrid J. Burvenich
Kening Zhao
Clare Senko
Jason Glab
Renee Fogliaro
Zhanqi Liu
Irvin Jose
Hamsa Puthalakath
Nick J. Hoogenraad
Laura D. Osellame
Andrew M. Scott
Identification of Potential Biomarkers for Cancer Cachexia and Anti-Fn14 Therapy
Cancers
cancer cachexia
biomarker
RNA-seq
LCN2
title Identification of Potential Biomarkers for Cancer Cachexia and Anti-Fn14 Therapy
title_full Identification of Potential Biomarkers for Cancer Cachexia and Anti-Fn14 Therapy
title_fullStr Identification of Potential Biomarkers for Cancer Cachexia and Anti-Fn14 Therapy
title_full_unstemmed Identification of Potential Biomarkers for Cancer Cachexia and Anti-Fn14 Therapy
title_short Identification of Potential Biomarkers for Cancer Cachexia and Anti-Fn14 Therapy
title_sort identification of potential biomarkers for cancer cachexia and anti fn14 therapy
topic cancer cachexia
biomarker
RNA-seq
LCN2
url https://www.mdpi.com/2072-6694/14/22/5533
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