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Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging 4/2017

12.01.2017 | Editorial Commentary

Personalized medicine: a new option for nuclear medicine and molecular imaging in the third millennium

verfasst von: Orazio Schillaci, Nicoletta Urbano

Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging | Ausgabe 4/2017

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Excerpt

“It’s more important to know what sort of person has a disease than to know what sort of disease a person has,” stated Hippocrates of Kos (c. 460 – c. 370 BC). This sentence of the father of modern medicine, which is based on observation of clinical signs and rational conclusions, is truly actual and it can be considered the manifesto of personalized (or precision) medicine (PM). According to the National Heart, Lung, and Blood Institute, PM is the use of diagnostic and screening methods to better manage the individual patient’s disease or predisposition toward a disease; it will enable risk assessment, diagnosis, prevention, and therapy specifically tailored to the unique characteristics of the individual, thus enhancing the quality of life and public health. …
Literatur
2.
Zurück zum Zitat Sobradillo P, Pozo F, Agustí A. P4 medicine: the future around the corner. Arch Bronconeumol. 2011;47:35–40.CrossRefPubMed Sobradillo P, Pozo F, Agustí A. P4 medicine: the future around the corner. Arch Bronconeumol. 2011;47:35–40.CrossRefPubMed
3.
Zurück zum Zitat Flores M, Glusman G, Brogaard K, Price ND, Hood L. P4 medicine: how systems medicine will transform the healthcare sector and society. Per Med. 2013;10:565–76.CrossRefPubMedPubMedCentral Flores M, Glusman G, Brogaard K, Price ND, Hood L. P4 medicine: how systems medicine will transform the healthcare sector and society. Per Med. 2013;10:565–76.CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Kircher MF, Hricak H, Larson SM. Molecular imaging for personalized cancer care. Mol Oncol. 2012;6:182–95.CrossRefPubMed Kircher MF, Hricak H, Larson SM. Molecular imaging for personalized cancer care. Mol Oncol. 2012;6:182–95.CrossRefPubMed
6.
Zurück zum Zitat European Society of Radiology (ESR). Medical imaging in personalised medicine: a white paper of the research committee of the European Society of Radiology (ESR). Insights Imaging. 2015;6:141–55.CrossRef European Society of Radiology (ESR). Medical imaging in personalised medicine: a white paper of the research committee of the European Society of Radiology (ESR). Insights Imaging. 2015;6:141–55.CrossRef
7.
Zurück zum Zitat Kuo MD, Jamshidi N. Behind the numbers: Decoding molecular phenotypes with radiogenomics--guiding principles and technical considerations. Radiology. 2014;270:320–5.CrossRefPubMed Kuo MD, Jamshidi N. Behind the numbers: Decoding molecular phenotypes with radiogenomics--guiding principles and technical considerations. Radiology. 2014;270:320–5.CrossRefPubMed
8.
Zurück zum Zitat Lee JD, Yun M, Lee JM, Choi Y, Kim JS, Kim SJ, et al. Analysis of gene expression profiles of hepatocellular carcinomasd with regard to 18F-fluorodeoxyglucose uptake pattern on positron emission tomography. Eur J Nucl Med Mol Imaging. 2004;31:1621–30. Lee JD, Yun M, Lee JM, Choi Y, Kim JS, Kim SJ, et al. Analysis of gene expression profiles of hepatocellular carcinomasd with regard to 18F-fluorodeoxyglucose uptake pattern on positron emission tomography. Eur J Nucl Med Mol Imaging. 2004;31:1621–30.
9.
Zurück zum Zitat Strauss LG, Dimitrakopoulou-Strauss A, Koczan D, Bernd L, Haberkorn U, Ewerbeck V, et al. 18F-FDG kinetics and gene expression in giant cell tumors. J Nucl Med. 2004;45:1528–35.PubMed Strauss LG, Dimitrakopoulou-Strauss A, Koczan D, Bernd L, Haberkorn U, Ewerbeck V, et al. 18F-FDG kinetics and gene expression in giant cell tumors. J Nucl Med. 2004;45:1528–35.PubMed
10.
Zurück zum Zitat Strauss LG, Koczan D, Klippel S, Pan L, Cheng C, Willis S, et al. Impact of angiogenesis-related gene expression on the tracer kinetics of 18F-FDG in colorectal tumors. J Nucl Med. 2008;49:1238–44.CrossRefPubMed Strauss LG, Koczan D, Klippel S, Pan L, Cheng C, Willis S, et al. Impact of angiogenesis-related gene expression on the tracer kinetics of 18F-FDG in colorectal tumors. J Nucl Med. 2008;49:1238–44.CrossRefPubMed
11.
Zurück zum Zitat Strauss LG, Dimitrakopoulou-Strauss A, Koczan D, Pan L, Hohenberger P. Correlation of dynamic PET and gene array data in patients with gastrointestinal stromal tumors. Sci World J. 2012;2012:721313.CrossRef Strauss LG, Dimitrakopoulou-Strauss A, Koczan D, Pan L, Hohenberger P. Correlation of dynamic PET and gene array data in patients with gastrointestinal stromal tumors. Sci World J. 2012;2012:721313.CrossRef
12.
Zurück zum Zitat Rink L, Ochs MF, Zhou Y, von Mehren M, Godwin AK. ZNF-mediated resistance to imatinib mesylate in gastrointestinal stromal tumor. PLoS One. 2013;8:e54477.CrossRefPubMedPubMedCentral Rink L, Ochs MF, Zhou Y, von Mehren M, Godwin AK. ZNF-mediated resistance to imatinib mesylate in gastrointestinal stromal tumor. PLoS One. 2013;8:e54477.CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Osborne JR, Port E, Gonen M, Doane A, Yeung H, Gerald W, et al. F-18-FDG PET of locally invasive breast cancer and association of estrogen receptor status with standardized uptake value: Microarray and immunohistochemical analysis. J Nucl Med. 2010;51:543–50.CrossRefPubMedPubMedCentral Osborne JR, Port E, Gonen M, Doane A, Yeung H, Gerald W, et al. F-18-FDG PET of locally invasive breast cancer and association of estrogen receptor status with standardized uptake value: Microarray and immunohistochemical analysis. J Nucl Med. 2010;51:543–50.CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat Nair VS, Gevaert O, Davidzon G, Napel S, Graves EE, Hoang CD, et al. Prognostic PET F-18-FDG uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer. Cancer Res. 2012;72:3725–34.CrossRefPubMedPubMedCentral Nair VS, Gevaert O, Davidzon G, Napel S, Graves EE, Hoang CD, et al. Prognostic PET F-18-FDG uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer. Cancer Res. 2012;72:3725–34.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Lee ES, Son DS, Kim SH, Lee J, Jo J, Han J, et al. Prediction of recurrence-free survival in postoperative non-small cell lung cancer patients by using an integrated model of clinical information and gene expression. Clin Cancer Res. 2008;14:7397–404. Lee ES, Son DS, Kim SH, Lee J, Jo J, Han J, et al. Prediction of recurrence-free survival in postoperative non-small cell lung cancer patients by using an integrated model of clinical information and gene expression. Clin Cancer Res. 2008;14:7397–404.
16.
Zurück zum Zitat Gevaert O, Xu J, Hoang CD, Leung AN, Xu Y, Quon A, et al. Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results. Radiology. 2012;264:387–96.CrossRefPubMedPubMedCentral Gevaert O, Xu J, Hoang CD, Leung AN, Xu Y, Quon A, et al. Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results. Radiology. 2012;264:387–96.CrossRefPubMedPubMedCentral
17.
Zurück zum Zitat Karapetis CS, Khambata-Ford S, Jonker DJ, O’Callaghan CJ, Tu D, Tebbutt NC, et al. K-ras mutations and benefit from cetuximab in advanced colorectal cancer. N Engl J Med. 2008;359:1757–65.CrossRefPubMed Karapetis CS, Khambata-Ford S, Jonker DJ, O’Callaghan CJ, Tu D, Tebbutt NC, et al. K-ras mutations and benefit from cetuximab in advanced colorectal cancer. N Engl J Med. 2008;359:1757–65.CrossRefPubMed
18.
Zurück zum Zitat Kawada K, Toda K, Nakamoto Y, Iwamoto M, Hatano E, Chen F, et al. K, Date H, Uemoto S, Sakai Y. Relationship between 18F-FDG PET/CT scans and KRAS mutations in metastatic colorectal cancer. J Nucl Med. 2015;56:1322–7.CrossRefPubMed Kawada K, Toda K, Nakamoto Y, Iwamoto M, Hatano E, Chen F, et al. K, Date H, Uemoto S, Sakai Y. Relationship between 18F-FDG PET/CT scans and KRAS mutations in metastatic colorectal cancer. J Nucl Med. 2015;56:1322–7.CrossRefPubMed
19.
Zurück zum Zitat Kawada K, Nakamoto Y, Kawada M, Hida K, Matsumoto T, Murakami T, et al. Relationship between 18F-fluorodeoxyglucose accumulation and KRAS/BRAF mutations in colorectal cancer. Clin Cancer Res. 2012;18:1696–703.CrossRefPubMed Kawada K, Nakamoto Y, Kawada M, Hida K, Matsumoto T, Murakami T, et al. Relationship between 18F-fluorodeoxyglucose accumulation and KRAS/BRAF mutations in colorectal cancer. Clin Cancer Res. 2012;18:1696–703.CrossRefPubMed
20.
Zurück zum Zitat Lee JH, Kang J, Baik SH, Lee KY, Lim BJ, Jeon TJ, et al. Relationship between 18F-Fluorodeoxyglucose uptake and V-Ki-Ras2 Kirsten rat sarcoma viral oncogene homolog mutation in colorectal cancer patients: variability depending on C-reactive protein level. Medicine (Baltimore). 2016;95:e2236. doi:10.1097/MD.0000000000002236.CrossRef Lee JH, Kang J, Baik SH, Lee KY, Lim BJ, Jeon TJ, et al. Relationship between 18F-Fluorodeoxyglucose uptake and V-Ki-Ras2 Kirsten rat sarcoma viral oncogene homolog mutation in colorectal cancer patients: variability depending on C-reactive protein level. Medicine (Baltimore). 2016;95:e2236. doi:10.​1097/​MD.​0000000000002236​.CrossRef
21.
Zurück zum Zitat Colen R, Foster I, Gatenby R, Giger ME, Gillies R, Gutman D, et al. NCI workshop report: clinical and computational requirements for correlating imaging phenotypes with genomics signatures. Transl Oncol. 2014;24(7):556–69.CrossRef Colen R, Foster I, Gatenby R, Giger ME, Gillies R, Gutman D, et al. NCI workshop report: clinical and computational requirements for correlating imaging phenotypes with genomics signatures. Transl Oncol. 2014;24(7):556–69.CrossRef
22.
Zurück zum Zitat Hatt M, Tixier F, Pierce L, Kinahan PE, Cheze Le Rest C, Visvikis D. Characterization of PET/CT images using texture analysis: the past, the present…any future? Eur J Nucl Med Mol Imaging. 2017;44:151–65.CrossRefPubMed Hatt M, Tixier F, Pierce L, Kinahan PE, Cheze Le Rest C, Visvikis D. Characterization of PET/CT images using texture analysis: the past, the present…any future? Eur J Nucl Med Mol Imaging. 2017;44:151–65.CrossRefPubMed
23.
Zurück zum Zitat Chen SW, Shen WC, Lin YC, Chen RY, Hsieh TC, Yen KY, et al. Correlation of pretreatment (18)F-FDG PET tumor textural features with gene expression in pharyngeal cancer and implications for radiotherapy-based treatment outcomes. Eur J Nucl Med Mol Imaging. 2016. doi:10.1007/s00259-016-3580-5.PubMedCentral Chen SW, Shen WC, Lin YC, Chen RY, Hsieh TC, Yen KY, et al. Correlation of pretreatment (18)F-FDG PET tumor textural features with gene expression in pharyngeal cancer and implications for radiotherapy-based treatment outcomes. Eur J Nucl Med Mol Imaging. 2016. doi:10.​1007/​s00259-016-3580-5.PubMedCentral
24.
Zurück zum Zitat Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology. 2016;278:563–77.CrossRefPubMed Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology. 2016;278:563–77.CrossRefPubMed
Metadaten
Titel
Personalized medicine: a new option for nuclear medicine and molecular imaging in the third millennium
verfasst von
Orazio Schillaci
Nicoletta Urbano
Publikationsdatum
12.01.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
European Journal of Nuclear Medicine and Molecular Imaging / Ausgabe 4/2017
Print ISSN: 1619-7070
Elektronische ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-017-3616-5

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