Supplementary Material For:The Radiogenomic Risk Score Stratifies Outcomes in a Renal

Supplementary Material For:The Radiogenomic Risk Score Stratifies Outcomes in a Renal

Supplementary Material for:The Radiogenomic Risk Score stratifies outcomes in a renal cell cancer phase 2 clinical trial

Figure E1: Illustrative example of a hypothetical scenario. Consider two hypothetical patients with two similar appearing tumors at an initial time point (‘o’ on the phenotypic risk map), thus placing both people in the same risk category based on the imaging appearance of ccRCC. At a later time point when the patients are re-imaged, bother tumors have altered appearances, corresponding to ‘x’ and ‘v’ for hypothetical patients 1 and 2, respectively. The risk, as assessed by the appearance of the tumor and the RRS has not changed for patient 1, however it has changed for patient 2.

supplemental figure example scenario png

Figure E2: Set of Kaplan Meier survival plots for WHO performance, stage, and grade. The 0 and 1 curves represent the low and high RRS groups, respectively, in each subgroup analysis. The RRS outperforms these and is independent of each of these measures except in lower stage (stage 1 and 2) tumors.

Table E1

Pearson correlation coefficients between the different images traits which comprise the RRS. The rank of the imaging feature matrices was 4 (for the training and validation data sets), i.e. all of the imaging traits are linearly independent of one another.

Table E2

Gene Ontology enrichment of the RRS. The comprehensive list of GO term enrichment based upon the set of genes that were significantly correlated with the radiogenomic risk score from the training and validation sets (p < 0.05).

GO ID / Total / Change / P-Value / Term
6950 / 75 / 12 / 0.0003 / response to stress
10627 / 15 / 5 / 0.0017 / regulation of intracellular protein kinase cascade
23014 / 23 / 6 / 0.0022 / signal transmission via phosphorylation event
7243 / 23 / 6 / 0.0022 / intracellular protein kinase cascade
60255 / 63 / 10 / 0.0023 / regulation of macromolecule metabolic process
44212 / 5 / 3 / 0.0026 / transcription regulatory region DNA binding
10843 / 5 / 3 / 0.0026 / promoter binding
1067 / 5 / 3 / 0.0026 / regulatory region nucleic acid binding
975 / 5 / 3 / 0.0026 / regulatory region DNA binding
10467 / 54 / 9 / 0.0033 / gene expression
44424 / 151 / 15 / 0.0046 / intracellular part
50872 / 2 / 2 / 0.0047 / white fat cell differentiation
45600 / 2 / 2 / 0.0047 / positive regulation of fat cell differentiation
45598 / 2 / 2 / 0.0047 / regulation of fat cell differentiation
31100 / 6 / 3 / 0.005 / organ regeneration
2274 / 6 / 3 / 0.005 / myeloid leukocyte activation
80090 / 69 / 10 / 0.0051 / regulation of primary metabolic process
5622 / 152 / 15 / 0.0051 / intracellular
19222 / 84 / 11 / 0.0064 / regulation of metabolic process
23051 / 29 / 6 / 0.0079 / regulation of signaling process
9966 / 29 / 6 / 0.0079 / regulation of signal transduction
9887 / 29 / 6 / 0.0079 / organ morphogenesis
51099 / 7 / 3 / 0.0084 / positive regulation of binding
45321 / 21 / 5 / 0.009 / leukocyte activation
50896 / 118 / 13 / 0.0093 / response to stimulus
51704 / 30 / 6 / 0.0095 / multi-organism process
2521 / 14 / 4 / 0.0106 / leukocyte differentiation
122 / 14 / 4 / 0.0106 / negative regulation of transcription from RNA polymerase II promoter
70302 / 3 / 2 / 0.0134 / regulation of stress-activated protein kinase signaling cascade
50873 / 3 / 2 / 0.0134 / brown fat cell differentiation
46328 / 3 / 2 / 0.0134 / regulation of JNK cascade
45055 / 3 / 2 / 0.0134 / regulated secretory pathway
43299 / 3 / 2 / 0.0134 / leukocyte degranulation
32409 / 3 / 2 / 0.0134 / regulation of transporter activity
31324 / 32 / 6 / 0.0134 / negative regulation of cellular metabolic process
16564 / 3 / 2 / 0.0134 / transcription repressor activity
5544 / 3 / 2 / 0.0134 / calcium-dependent phospholipid binding
4859 / 3 / 2 / 0.0134 / phospholipase inhibitor activity
2444 / 3 / 2 / 0.0134 / myeloid leukocyte mediated immunity
2366 / 3 / 2 / 0.0134 / leukocyte activation involved in immune response
2275 / 3 / 2 / 0.0134 / myeloid cell activation involved in immune response
2263 / 3 / 2 / 0.0134 / cell activation involved in immune response
51098 / 15 / 4 / 0.0139 / regulation of binding
2376 / 54 / 8 / 0.0153 / immune system process
10033 / 44 / 7 / 0.0175 / response to organic substance
42493 / 16 / 4 / 0.0177 / response to drug
48583 / 34 / 6 / 0.0183 / regulation of response to stimulus
51604 / 9 / 3 / 0.0185 / protein maturation
43408 / 9 / 3 / 0.0185 / regulation of MAPKKK cascade
1816 / 9 / 3 / 0.0185 / cytokine production
1817 / 9 / 3 / 0.0185 / regulation of cytokine production
51094 / 25 / 5 / 0.0198 / positive regulation of developmental process
51252 / 35 / 6 / 0.0212 / regulation of RNA metabolic process
32774 / 35 / 6 / 0.0212 / RNA biosynthetic process
16070 / 35 / 6 / 0.0212 / RNA metabolic process
6355 / 35 / 6 / 0.0212 / regulation of transcription, DNA-dependent
6351 / 35 / 6 / 0.0212 / transcription, DNA-dependent
45892 / 17 / 4 / 0.0221 / negative regulation of transcription, DNA-dependent
165 / 17 / 4 / 0.0221 / MAPKKK cascade
50794 / 128 / 13 / 0.0236 / regulation of cellular process
32403 / 10 / 3 / 0.0253 / protein complex binding
19904 / 10 / 3 / 0.0253 / protein domain specific binding
9617 / 10 / 3 / 0.0253 / response to bacterium
10556 / 47 / 7 / 0.0254 / regulation of macromolecule biosynthetic process
55102 / 4 / 2 / 0.0257 / lipase inhibitor activity
48469 / 4 / 2 / 0.0257 / cell maturation
45444 / 4 / 2 / 0.0257 / fat cell differentiation
43123 / 4 / 2 / 0.0257 / positive regulation of I-kappaB kinase/NF-kappaB cascade
43122 / 4 / 2 / 0.0257 / regulation of I-kappaB kinase/NF-kappaB cascade
8144 / 4 / 2 / 0.0257 / drug binding
7249 / 4 / 2 / 0.0257 / I-kappaB kinase/NF-kappaB cascade
7254 / 4 / 2 / 0.0257 / JNK cascade
3714 / 4 / 2 / 0.0257 / transcription corepressor activity
2526 / 4 / 2 / 0.0257 / acute inflammatory response
1890 / 4 / 2 / 0.0257 / placenta development
51253 / 18 / 4 / 0.0272 / negative regulation of RNA metabolic process
31325 / 37 / 6 / 0.0279 / positive regulation of cellular metabolic process
9892 / 37 / 6 / 0.0279 / negative regulation of metabolic process
35556 / 48 / 7 / 0.0286 / intracellular signal transduction
35466 / 38 / 6 / 0.0317 / regulation of signaling pathway
31323 / 73 / 9 / 0.0317 / regulation of cellular metabolic process
10604 / 38 / 6 / 0.0317 / positive regulation of macromolecule metabolic process
5102 / 38 / 6 / 0.0317 / receptor binding
9056 / 28 / 5 / 0.0321 / catabolic process
48534 / 19 / 4 / 0.033 / hemopoietic or lymphoid organ development
45597 / 19 / 4 / 0.033 / positive regulation of cell differentiation
30097 / 19 / 4 / 0.033 / hemopoiesis
16481 / 19 / 4 / 0.033 / negative regulation of transcription
2520 / 19 / 4 / 0.033 / immune system development
90046 / 11 / 3 / 0.0333 / regulation of transcription regulator activity
51090 / 11 / 3 / 0.0333 / regulation of transcription factor activity
48585 / 11 / 3 / 0.0333 / negative regulation of response to stimulus
43565 / 11 / 3 / 0.0333 / sequence-specific DNA binding
45449 / 39 / 6 / 0.0359 / regulation of transcription
44093 / 39 / 6 / 0.0359 / positive regulation of molecular function
6350 / 39 / 6 / 0.0359 / transcription
7165 / 75 / 9 / 0.0381 / signal transduction
8152 / 152 / 14 / 0.0392 / metabolic process
10629 / 20 / 4 / 0.0394 / negative regulation of gene expression
80135 / 5 / 2 / 0.041 / regulation of cellular response to stress
8134 / 5 / 2 / 0.041 / transcription factor binding
5543 / 5 / 2 / 0.041 / phospholipid binding
42221 / 76 / 9 / 0.0417 / response to chemical stimulus
51101 / 12 / 3 / 0.0425 / regulation of DNA binding
44255 / 12 / 3 / 0.0425 / cellular lipid metabolic process
23056 / 12 / 3 / 0.0425 / positive regulation of signaling process
9967 / 12 / 3 / 0.0425 / positive regulation of signal transduction
8289 / 12 / 3 / 0.0425 / lipid binding
6916 / 12 / 3 / 0.0425 / anti-apoptosis
1775 / 30 / 5 / 0.0426 / cell activation
43231 / 104 / 11 / 0.0433 / intracellular membrane-bounded organelle
51239 / 52 / 7 / 0.0442 / regulation of multicellular organismal process
23034 / 52 / 7 / 0.0442 / intracellular signaling pathway
9059 / 52 / 7 / 0.0442 / macromolecule biosynthetic process
50793 / 41 / 6 / 0.0455 / regulation of developmental process
43067 / 41 / 6 / 0.0455 / regulation of programmed cell death
42981 / 41 / 6 / 0.0455 / regulation of apoptosis
9611 / 41 / 6 / 0.0455 / response to wounding
50789 / 136 / 13 / 0.0457 / regulation of biological process
43227 / 105 / 11 / 0.0469 / membrane-bounded organelle
43170 / 105 / 11 / 0.0469 / macromolecule metabolic process
48523 / 65 / 8 / 0.0485 / negative regulation of cellular process
48513 / 65 / 8 / 0.0485 / organ development
44281 / 53 / 7 / 0.0488 / small molecule metabolic process
9653 / 53 / 7 / 0.0488 / anatomical structure morphogenesis

Description of Clinical Trial inclusion and exclusion criteria

As described in Jonasch et al [1], the bevacizumab study was a single center study requiring,

1) histologically or cytologically confirmed metastatic clear cell renal cell carcinoma,

2) primary tumor deemed resectable by the treating urologist,

3) measurable disease by Response Evaluation Criteria in Solid Tumors (RECIST) not including primary tumor,

4) Eastern Cooperative Oncology Group performance status of 0 or 1,

5) adequate organ and marrow function within 14 days, including absolute neutrophil count >=? 1,500/?L, platelets >= 75,000/microL, hemoglobin > 9.0 g/d (transfusion allowed), total bilirubin ?<= 2.0 mg/dL, albumin > 3.0 g/dL, serum creatinine <= 2.0 mg/dL, AST and/or ALT <= 2.5 times the institutional upper limit of normal for participants without evidence of liver metastases, and AST and/or ALT <= five times institutional upper limit of normal for participants with documented liver metastases,

6) absence of brain metastases,

7) no prior systemic therapy

The laboratory criteria are in place to ensure relative medical stability (i.e. no acute or chronic renal or hepatic disease) to avoid any confounding factors that may contribute to a potential lack of response.

The imaging features were interpreted on the pre-contrast and equilibrium phase (70 second post contrast) acquisitions and were assessed for 3 consecutive slices spanning the largest transaxial diameter of the tumours. Further details are provided in Jamshidi et al [2].

1Jonasch 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 27:4076-4081

2Jamshidi 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 277:114-123