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Erschienen in: European Radiology 8/2016

11.11.2015 | Molecular Imaging

The radiogenomic risk score stratifies outcomes in a renal cell cancer phase 2 clinical trial

verfasst von: Neema Jamshidi, Eric Jonasch, Matthew Zapala, Ronald L. Korn, James D. Brooks, Borje Ljungberg, Michael D. Kuo

Erschienen in: European Radiology | Ausgabe 8/2016

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Abstract

Objectives

To characterize a radiogenomic risk score (RRS), a previously defined biomarker, and to evaluate its potential for stratifying radiological progression-free survival (rPFS) in patients with metastatic renal cell carcinoma (mRCC) undergoing pre-surgical treatment with bevacizumab.

Methodology

In this IRB-approved study, prospective imaging analysis of the RRS was performed on phase II clinical trial data of mRCC patients (n = 41) evaluating whether patient stratification according to the RRS resulted in groups more or less likely to have a rPFS to pre-surgical bevacizumab prior to cytoreductive nephrectomy. Survival times of RRS subgroups were analyzed using Kaplan-Meier survival analysis.

Results

The RRS is enriched in diverse molecular processes including drug response, stress response, protein kinase regulation, and signal transduction pathways (P < 0.05). The RRS successfully stratified rPFS to bevacizumab based on pre-treatment computed tomography imaging with a median progression-free survival of 6 versus >25 months (P = 0.005) and overall survival of 25 versus >37 months in the high and low RRS groups (P = 0.03), respectively. Conventional prognostic predictors including the Motzer and Heng criteria were not predictive in this cohort (P > 0.05).

Conclusions

The RRS stratifies rPFS to bevacizumab in patients from a phase II clinical trial with mRCC undergoing cytoreductive nephrectomy and pre-surgical bevacizumab.

Key Points

The RRS SOMA stratifies patient outcomes in a phase II clinical trial.
RRS stratifies subjects into prognostic groups in a discrete or continuous fashion.
RRS is biologically enriched in diverse processes including drug response programs.
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Literatur
1.
Zurück zum Zitat Jemal A, Siegel R, Ward E, Murray T, Xu J, Thun MJ (2007) Cancer statistics, 2007. CA Cancer J Clin 57:43–66CrossRefPubMed Jemal A, Siegel R, Ward E, Murray T, Xu J, Thun MJ (2007) Cancer statistics, 2007. CA Cancer J Clin 57:43–66CrossRefPubMed
2.
Zurück zum Zitat Kuo MD, Gollub J, Sirlin CB, Ooi C, Chen X (2007) Radiogenomic analysis to identify imaging phenotypes associated with drug response gene expression programs in hepatocellular carcinoma. J Vasc Interv Radiol 18:821–831CrossRefPubMed Kuo MD, Gollub J, Sirlin CB, Ooi C, Chen X (2007) Radiogenomic analysis to identify imaging phenotypes associated with drug response gene expression programs in hepatocellular carcinoma. J Vasc Interv Radiol 18:821–831CrossRefPubMed
3.
Zurück zum Zitat Kuo MD, Jamshidi N (2014) Behind the numbers: decoding molecular phenotypes with radiogenomics--guiding principles and technical considerations. Radiology 270:320–325CrossRefPubMed Kuo MD, Jamshidi N (2014) Behind the numbers: decoding molecular phenotypes with radiogenomics--guiding principles and technical considerations. Radiology 270:320–325CrossRefPubMed
5.
Zurück zum Zitat Diehn M, Nardini C, Wang DS et al (2008) Identification of noninvasive imaging surrogates for brain tumor gene-expression modules. Proc Natl Acad Sci U S A 105:5213–5218CrossRefPubMedPubMedCentral Diehn M, Nardini C, Wang DS et al (2008) Identification of noninvasive imaging surrogates for brain tumor gene-expression modules. Proc Natl Acad Sci U S A 105:5213–5218CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Jamshidi N, Diehn M, Bredel M, Kuo MD (2014) Illuminating radiogenomic characteristics of glioblastoma multiforme through integration of MR imaging, messenger RNA expression, and DNA copy number variation. Radiology 270:1–2CrossRefPubMed Jamshidi N, Diehn M, Bredel M, Kuo MD (2014) Illuminating radiogenomic characteristics of glioblastoma multiforme through integration of MR imaging, messenger RNA expression, and DNA copy number variation. Radiology 270:1–2CrossRefPubMed
7.
Zurück zum Zitat Segal E, Sirlin CB, Ooi C et al (2007) Decoding global gene expression programs in liver cancer by noninvasive imaging. Nat Biotechnol 25:675–680CrossRefPubMed Segal E, Sirlin CB, Ooi C et al (2007) Decoding global gene expression programs in liver cancer by noninvasive imaging. Nat Biotechnol 25:675–680CrossRefPubMed
8.
Zurück zum Zitat Yamamoto S, Han W, Kim Y et al (2015) Breast cancer: radiogenomic biomarker reveals associations among dynamic contrast-enhanced mr imaging, long noncoding RNA, and metastasis. Radiology. doi:10.1148/radiol.15142698:142698 Yamamoto S, Han W, Kim Y et al (2015) Breast cancer: radiogenomic biomarker reveals associations among dynamic contrast-enhanced mr imaging, long noncoding RNA, and metastasis. Radiology. doi:10.​1148/​radiol.​15142698:​142698
9.
Zurück zum Zitat Yamamoto S, Korn RL, Oklu R et al (2014) ALK molecular phenotype in non-small cell lung cancer: CT radiogenomic characterization. Radiology 272:568–576CrossRefPubMed Yamamoto S, Korn RL, Oklu R et al (2014) ALK molecular phenotype in non-small cell lung cancer: CT radiogenomic characterization. Radiology 272:568–576CrossRefPubMed
10.
Zurück zum Zitat Gevaert O, Xu J, Hoang CD et al (2012) Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results. Radiology 264:387–396CrossRefPubMedPubMedCentral Gevaert O, Xu J, Hoang CD et al (2012) Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results. Radiology 264:387–396CrossRefPubMedPubMedCentral
11.
12.
Zurück zum Zitat Klein EA, Cooperberg MR, Magi-Galluzzi C et al (2014) A 17-gene assay to predict prostate cancer aggressiveness in the context of Gleason grade heterogeneity, tumor multifocality, and biopsy undersampling. Eur Urol 66:550–560CrossRefPubMed Klein EA, Cooperberg MR, Magi-Galluzzi C et al (2014) A 17-gene assay to predict prostate cancer aggressiveness in the context of Gleason grade heterogeneity, tumor multifocality, and biopsy undersampling. Eur Urol 66:550–560CrossRefPubMed
13.
Zurück zum Zitat Sestak I, Dowsett M, Zabaglo L et al (2013) Factors predicting late recurrence for estrogen receptor-positive breast cancer. J Natl Cancer Inst 105:1504–1511CrossRefPubMedPubMedCentral Sestak I, Dowsett M, Zabaglo L et al (2013) Factors predicting late recurrence for estrogen receptor-positive breast cancer. J Natl Cancer Inst 105:1504–1511CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat Solomon BJ, Mok T, Kim DW et al (2014) First-line crizotinib versus chemotherapy in ALK-positive lung cancer. N Engl J Med 371:2167–2177CrossRefPubMed Solomon BJ, Mok T, Kim DW et al (2014) First-line crizotinib versus chemotherapy in ALK-positive lung cancer. N Engl J Med 371:2167–2177CrossRefPubMed
15.
Zurück zum Zitat Jamshidi N, Jonasch E, Zapala M et al (2015) The radiogenomic risk score: construction of a prognostic quantitative, noninvasive image-based molecular assay for renal cell carcinoma. Radiology 277:114–123CrossRefPubMed Jamshidi N, Jonasch E, Zapala M et al (2015) The radiogenomic risk score: construction of a prognostic quantitative, noninvasive image-based molecular assay for renal cell carcinoma. Radiology 277:114–123CrossRefPubMed
16.
Zurück zum Zitat Jonasch E, Wood CG, Matin SF et al (2009) Phase II presurgical feasibility study of bevacizumab in untreated patients with metastatic renal cell carcinoma. J Clin Oncol 27:4076–4081CrossRefPubMedPubMedCentral Jonasch E, Wood CG, Matin SF et al (2009) Phase II presurgical feasibility study of bevacizumab in untreated patients with metastatic renal cell carcinoma. J Clin Oncol 27:4076–4081CrossRefPubMedPubMedCentral
17.
Zurück zum Zitat Sun M, Shariat SF, Cheng C et al (2011) Prognostic factors and predictive models in renal cell carcinoma: a contemporary review. Eur Urol 60:644–661CrossRefPubMed Sun M, Shariat SF, Cheng C et al (2011) Prognostic factors and predictive models in renal cell carcinoma: a contemporary review. Eur Urol 60:644–661CrossRefPubMed
18.
Zurück zum Zitat Heng DY, Xie W, Regan MM et al (2013) External validation and comparison with other models of the International Metastatic Renal-Cell Carcinoma Database Consortium prognostic model: a population-based study. Lancet Oncol 14:141–148CrossRefPubMedPubMedCentral Heng DY, Xie W, Regan MM et al (2013) External validation and comparison with other models of the International Metastatic Renal-Cell Carcinoma Database Consortium prognostic model: a population-based study. Lancet Oncol 14:141–148CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Heng DY, Xie W, Regan MM et al (2009) Prognostic factors for overall survival in patients with metastatic renal cell carcinoma treated with vascular endothelial growth factor-targeted agents: results from a large, multicenter study. J Clin Oncol 27:5794–5799CrossRefPubMed Heng DY, Xie W, Regan MM et al (2009) Prognostic factors for overall survival in patients with metastatic renal cell carcinoma treated with vascular endothelial growth factor-targeted agents: results from a large, multicenter study. J Clin Oncol 27:5794–5799CrossRefPubMed
20.
Zurück zum Zitat Motzer RJ, Escudier B, Bukowski R et al (2013) Prognostic factors for survival in 1059 patients treated with sunitinib for metastatic renal cell carcinoma. Br J Cancer 108:2470–2477CrossRefPubMedPubMedCentral Motzer RJ, Escudier B, Bukowski R et al (2013) Prognostic factors for survival in 1059 patients treated with sunitinib for metastatic renal cell carcinoma. Br J Cancer 108:2470–2477CrossRefPubMedPubMedCentral
21.
22.
Zurück zum Zitat Breslow N, Crowley J (1984) A large sample study of the life table and product limit estimates under random censorship. Ann Stat 2:437–453CrossRef Breslow N, Crowley J (1984) A large sample study of the life table and product limit estimates under random censorship. Ann Stat 2:437–453CrossRef
23.
Zurück zum Zitat Viera AJ, Garrett JM (2005) Understanding interobserver agreement: the kappa statistic. Fam Med 37:360–363PubMed Viera AJ, Garrett JM (2005) Understanding interobserver agreement: the kappa statistic. Fam Med 37:360–363PubMed
24.
Zurück zum Zitat Mekhail TM, Abou-Jawde RM, Boumerhi G et al (2005) Validation and extension of the Memorial Sloan-Kettering prognostic factors model for survival in patients with previously untreated metastatic renal cell carcinoma. J Clin Oncol 23:832–841CrossRefPubMed Mekhail TM, Abou-Jawde RM, Boumerhi G et al (2005) Validation and extension of the Memorial Sloan-Kettering prognostic factors model for survival in patients with previously untreated metastatic renal cell carcinoma. J Clin Oncol 23:832–841CrossRefPubMed
25.
Zurück zum Zitat Finn RS, Crown JP, Lang I et al (2015) The cyclin-dependent kinase 4/6 inhibitor palbociclib in combination with letrozole versus letrozole alone as first-line treatment of oestrogen receptor-positive, HER2-negative, advanced breast cancer (PALOMA-1/TRIO-18): a randomised phase 2 study. Lancet Oncol 16:25–35CrossRefPubMed Finn RS, Crown JP, Lang I et al (2015) The cyclin-dependent kinase 4/6 inhibitor palbociclib in combination with letrozole versus letrozole alone as first-line treatment of oestrogen receptor-positive, HER2-negative, advanced breast cancer (PALOMA-1/TRIO-18): a randomised phase 2 study. Lancet Oncol 16:25–35CrossRefPubMed
26.
Zurück zum Zitat Robert C, Long GV, Brady B et al (2015) Nivolumab in previously untreated melanoma without BRAF mutation. N Engl J Med 372:320–330CrossRefPubMed Robert C, Long GV, Brady B et al (2015) Nivolumab in previously untreated melanoma without BRAF mutation. N Engl J Med 372:320–330CrossRefPubMed
27.
Zurück zum Zitat Lamuraglia M, Raslan S, Elaidi R et al (2015) mTOR-inhibitor treatment of metastatic renal cell carcinoma: contribution of Choi and modified Choi criteria assessed in 2D or 3D to evaluate tumor response. Eur Radiol. doi:10.1007/s00330-015-3828-7 PubMed Lamuraglia M, Raslan S, Elaidi R et al (2015) mTOR-inhibitor treatment of metastatic renal cell carcinoma: contribution of Choi and modified Choi criteria assessed in 2D or 3D to evaluate tumor response. Eur Radiol. doi:10.​1007/​s00330-015-3828-7 PubMed
28.
Zurück zum Zitat Gerlinger M, Rowan AJ, Horswell S et al (2012) Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med 366:883–892CrossRefPubMedPubMedCentral Gerlinger M, Rowan AJ, Horswell S et al (2012) Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med 366:883–892CrossRefPubMedPubMedCentral
29.
Zurück zum Zitat Lindstrom LS, Karlsson E, Wilking UM et al (2012) Clinically used breast cancer markers such as estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 are unstable throughout tumor progression. J Clin Oncol 30:2601–2608CrossRefPubMed Lindstrom LS, Karlsson E, Wilking UM et al (2012) Clinically used breast cancer markers such as estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 are unstable throughout tumor progression. J Clin Oncol 30:2601–2608CrossRefPubMed
30.
Zurück zum Zitat Arrowsmith J (2011) Trial watch: phase II failures: 2008-2010. Nat Rev Drug Discov 10:328–329CrossRefPubMed Arrowsmith J (2011) Trial watch: phase II failures: 2008-2010. Nat Rev Drug Discov 10:328–329CrossRefPubMed
31.
Zurück zum Zitat Coffey CS, Levin B, Clark C et al (2012) Overview, hurdles, and future work in adaptive designs: perspectives from a National Institutes of Health-funded workshop. Clin Trials 9:671–680CrossRefPubMed Coffey CS, Levin B, Clark C et al (2012) Overview, hurdles, and future work in adaptive designs: perspectives from a National Institutes of Health-funded workshop. Clin Trials 9:671–680CrossRefPubMed
32.
Metadaten
Titel
The radiogenomic risk score stratifies outcomes in a renal cell cancer phase 2 clinical trial
verfasst von
Neema Jamshidi
Eric Jonasch
Matthew Zapala
Ronald L. Korn
James D. Brooks
Borje Ljungberg
Michael D. Kuo
Publikationsdatum
11.11.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 8/2016
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-015-4082-8

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