Supplemental Materials and Methods Cell Lines. All cell lines were obtained and validated by the following sources. HPV status of the following cell lines has been previously validated (1). HPV negative cell lines: UM-SCC1, UM-SCC6, UM-SCC22B, and UM-SCC1483. HPV positive cell lines: UD-SCC2, UM-SCC47, UPCI-SCC90, and 93-VU-147T. Cell line UM-SCC1 UM-SCC22B UD-SCC2 UPCI-SCC90 93-VU-147T (SCC147T) UM-SCC47 UM-SCC4 UM-SCC6 UM-SCC11A UM-SCC14A UM-SCC38 UM-SCC104 UM-SCC1483 HN4 Sources Culture condition Dr. Thomas E. Carey, University of Michigan (2) DMEM with 4.5 g/dL glucose, 10% FBS, 1% hydrocortisone, penicillin (100 units/mL), streptomycin (100 mg/mL) Dr. Thomas Carey, with permission of Dr. Henning Bier, Technical University Munich, Munich, Germany Dr. Robert Ferris, University of Pittsburgh Dr. Robert Ferris, with permission of Dr. Hans Joenje, VU Medical Center, Amsterdam, Netherlands Dr. Thomas E. Carey, University of Michigan (2) DMEM with 4.5 g/dL glucose, 10% FBS, penicillin (100 units/mL), streptomycin (100 mg/mL) Dr. Jennifer Grandis, University of Pittsburgh Dr. Ravi Salgia, University of Chicago Clonogenic Survival Assay: Cells were plated in 6-well plates (100-500 cells/well) in medium containing 20% serum. Cells were pre-treated with 0.25 uM of R428 or vehicle. Cells were irradiated 24 hours later at the doses of 2 or 4 Gy. After 10 to 14 days, colonies were stained with crystal violet and manually counted. Colonies consisting of more than 50 cells were counted and the surviving fraction was calculated; 18 replicate wells were counted per treatment. Cell Line Xenografts, PDXs, and Radiation Response. Established HNSCC cell lines UMSCC1, UM-SCC22B, UD-SCC2, UM-SCC47, UPCI-SCC90 and 93-VU-147T were used to generate xenografts as previously described (1). Mice were housed in the Wisconsin Institute for Medical Research (WIMR) Animal Care Facility, and all experiments were carried out in accordance with an animal protocol approved by the University of Wisconsin. When tumor volumes reached approximately 200 mm3, mice were stratified into control (vehicle) or radiation treatment groups (n=12 mice/24 tumors per group) such that all groups contained a range of similarly sized tumors. Radiation therapy was administered as four 2 Gy fractions over two consecutive weeks using an X-rad 320 biological irradiator (Precision X-ray, Inc.). After completing the treatment regimen tumor volume was assessed twice weekly with Vernier calipers and calculated according to the equation V = (π/6) × (large diameter) × (small diameter)2; tumors were measured until the majority of control tumors quadrupled in size. Tumor growth curves were generated using Graphpad Prism v6.0d. The mean tumor volumes were compared between the control and radiation arms at the final three time points using two-sample t-tests with equal standard deviations. Tumors with significant p-values at all three time points were deemed sensitive to radiation, while those with non-significant (NS) p-values were considered resistant. *p<0.05, **p<0.01. PDX establishment, TMA construction and IHC for AXL were performed as previously described (3, 4). Six PDXs were evaluated for radiation response by implanting bilateral posterior flank tumors into 16 female Hsd:athymic Nude-Foxn1nu mice (Harlan Laboratories). When tumor volumes (calculated as described above) reached approximately 200 mm3, mice were stratified into control and radiation treatment groups (n=8 mice/16 tumors per group). Radiation therapy was administered as four 2 Gy fractions (UW-SCC6 and UW-SCC22) over two consecutive weeks or five 2 Gy fractions over five consecutive days (UW-SCC30, UWSCC1, and UW-SCC36) using an X-rad 320 biological irradiator (Precision X-ray, Inc.). Tumor growth was measured and plotted as above. 63 HNSCC patient cohort and TMA construction. A TMA was constructed from formalin-fixed paraffin embedded HNSCC tumor biopsies. 1.0 mm core extractions of each tumor biopsy were represented on the tissue microarray by duplicate cores. AXL staining was performed via IHC using mAb185 (1:50) developed in the laboratory of Dr. Parkash Gill (Department of Medicine and Pathology, University of Southern California, Los Angeles, CA). 20x photographs of AXL staining were taken using Aperio software (Leica Microsystems Inc, Buffalo Grove, IL, USA). Statistical Analysis for 63 HNSCC patient cohort. AXL scores 0 and 1+ were characterized as “low”, while AXL scores 2+ and 3+ were characterized as “high” by pathologist M.W.L. A multiple logistic regression model was fit to identify any patient characteristics associated with AXL score. The results were presented as odds ratios with associated 95% confidence intervals. Progression-free survival (PFS) in this cohort was determined by evaluating how many patients in the low and high AXL groups experienced a recurrence of their disease or passed away. The comparison of PFS between patients with high and low AXL scores was evaluated using the Kaplan Meier method. Results were summarized using median survival times and hazard ratios, and the statistical significance between high and low AXL scores was assessed using the logrank test. Only 57 out of 63 patients could be used for the PFS analysis due to missing data. All analyses were performed using statistical procedures in the SAS/STAT software (version 9.3), and a p-value less than 0.05 was considered statistically significant. Fractional Product Method for Drug Combination Synergy. The nature of the interaction between R428 or siAXL and the individual therapies of chemotherapy, cetuximab, or radiation was evaluated via the fractional product method described by Chou and Talalay (5-7). Briefly, this method utilizes the relative cell density following treatment with each individual agent and calculates the expected (E) effect of combination therapy as a product of the individual responses. The observed (O) effect is the relative cell density following dual treatment. A ratio of the observed to expected (O:E) values was calculated and used to estimate the synergy, additivity, or antagonism. A value less than 1 indicated synergism, greater than 1 demonstrated antagonism, and 1 represented additivity. References 1. Kimple RJ, Smith MA, Blitzer GC, Torres AD, Martin JA, Yang RZ, et al. Enhanced radiation sensitivity in HPV-positive head and neck cancer. Cancer Res. 2013;73:4791-800. 2. Brenner JC, Graham MP, Kumar B, Saunders LM, Kupfer R, Lyons RH, et al. Genotyping of 73 UM-SCC head and neck squamous cell carcinoma cell lines. Head Neck. 2010;32:417-26. 3. Brand TM, Iida M, Stein AP, Corrigan KL, Braverman CM, Luthar N, et al. AXL Mediates Resistance to Cetuximab Therapy. Cancer Res. 2014;74:5152-64. 4. Kimple RJ, Harari PM, Torres AD, Yang RZ, Soriano BJ, Yu M, et al. Development and characterization of HPV-positive and HPV-negative head and neck squamous cell carcinoma tumorgrafts. Clin Cancer Res. 2013;19:855-64. 5. Chou TC. Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies. Pharmacological reviews. 2006;58:621-81. 6. Chou TC. Drug Combination Studies and Their Synergy Quantification Using the ChouTalalay Method. Cancer Research. 2010;70:440-6. 7. Chou TC, Talalay P. Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors. Advances in enzyme regulation. 1984;22:27-55.
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