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Supp Table 1, Supp Table 2. Supp Table 1: A.QMSP probe and primers, B.RT-PCR assay. Supplemental Table 2: The summary of notch methylation array findings

Flow cytometry gating strategy is outlined. After digestion of tumor infiltrated bladders, samples yielded 1-2 million cells per bladder. A) Live T lymphocyte subpopulations were then gated from spleen tissue, and B) bladder T cells of interest were then selected.

Intravesical bacillus Calmette–Guérin (BCG) immunotherapy is the standard of care in treating non–muscle-invasive bladder cancer, yet its mechanism of action remains elusive. Both innate and adaptive immune responses have been implicated in BCG activity. Although prior research has indirectly demonstrated the importance of T cells and shown a rise in CD4+ T cells in bladder tissue after BCG, T-cell subpopulations have not been fully characterized. We investigated the relationship between effector and regulatory T cells in an immune competent, clinically relevant rodent model of bladder cancer. Our data demonstrate that cancer progression in the N-methyl-N-nitrosourea (MNU) rat model of bladder cancer was characterized by a decline in the CD8/FoxP3 ratio, consistent with decreased adaptive immunity. In contrast, treatment with intravesical BCG led to a large, transient rise in the CD4+ T-cell population in the urothelium and was both more effective and immunogenic compared with intravesical chemotherapy. Whole-transcriptome expression profiling of posttreatment intravesical CD4+ and CD8+ T cells revealed minimal differences in gene expression after BCG treatment. Together, our results suggest that although BCG induces T-cell recruitment to the bladder, the T-cell phenotype does not markedly change, implying that combining T-cell–activating agents with BCG might improve clinical activity. Cancer Immunol Res; 5(7); 594–603. ©2017 AACR.

Supp Figure 3. Association of miRNA expression with water arsenic concentration and creatinine adjusted urine arsenic concentration (Mann-Whitney U test).

Supp Figure 1. Technical validation of Notch Signaling Pathway DNA Methylation PCR Array.

Supplementary Figure Legends

(A) Rats 8 weeks post MNU were treated intravesically with MMC, MMC+BCG, and Cisplatin for 6 weeks (n=5 for each group). Bladders were harvested at week 16 and then digested into single cell suspensions and T cell populations analyzed with flow cytometry. (B) Flow Cytometry was then performed on digested bladders, and T cell subpopulations are reported as percentages, cell numbers, and (C) ratios. A "*" denotes statistical significance. All experiments were performed 2 times.

Supplementary Figure Legends

Exposure to toxicants leads to cumulative molecular changes that overtime increase a subject's risk of developing urothelial carcinoma. To assess the impact of arsenic exposure at a time progressive manner, we developed and characterized a cell culture model and tested a panel of miRNAs in urine samples from arsenic-exposed subjects, urothelial carcinoma patients, and controls. To prepare an in vitro model, we chronically exposed an immortalized normal human bladder cell line (HUC1) to arsenic. Growth of the HUC1 cells was increased in a time-dependent manner after arsenic treatment and cellular morphology was changed. In a soft agar assay, colonies were observed only in arsenic-treated cells, and the number of colonies gradually increased with longer periods of treatment. Similarly, invaded cells in an invasion assay were observed only in arsenic-treated cells. Withdrawal of arsenic treatment for 2.5 months did not reverse the tumorigenic properties of arsenic-treated cells. Western blot analysis demonstrated decreased PTEN and increased AKT and mTOR in arsenic-treated HUC1 cells. Levels of miR-200a, miR-200b, and miR-200c were downregulated in arsenic-exposed HUC1 cells by quantitative RT-PCR. Furthermore, in human urine, miR-200c and miR-205 were inversely associated with arsenic exposure (P = 0.005 and 0.009, respectively). Expression of miR-205 discriminated cancer cases from controls with high sensitivity and specificity (AUC = 0.845). Our study suggests that exposure to arsenic rapidly induces a multifaceted dedifferentiation program and miR-205 has potential to be used as a marker of arsenic exposure as well as a maker of early urothelial carcinoma detection. Cancer Prev Res; 8(3); 208–21. ©2015 AACR.

This is a file of "Supplementary Data".

5 BCG treated rats, 5 untreated rats, and 20 controls rat were sacrificed and bladders were processed in single cell suspensions. CD4 and CD8 T cells were isolated for each sample and RNA was extracted. A gene expression analysis was subsequently performed on sorted CD4 and CD8 cells from each group using an Affymetrix Rat Gene 1.0 ST Array. MVA plot of sorted (A) CD8 and (B) CD4 T cells from MNU rats treated with BCG vs Untreated tumors. Genes selected from the Gene Ontology term "Immune Response" that have

Supp Figure 2A. Promoter methylation is inversely associated with gene expression

Supp Figure 4. ROC curves for individual micro RNA expression in 177 normal and 32 bladder cancer urine samples were shown.

Supplementary Table 1: Relative Gene Expression of outlier "immune response" genes after BCG vs no treatment in sorted CD8+ cells from bladder cancer. Supplementary Table 2: Relative Gene Expression of outlier "immune response" genes after BCG vs no treatment in sorted CD4+ cells from bladder cancer.

Purpose: Aberrant promoter hypermethylation of tumor suppressor genes is a promising marker for lung cancer detection. We investigated the likelihood of detecting aberrant DNA methylation of tumor suppressor genes in plasma samples of patients with abnormalities of the lung detected upon computed tomography (CT) scan.Experimental Design: In a small evaluation cohort, four gene promoters (DCC, Kif1a, NISCH, and Rarb) were found to be methylated with increased frequency in samples from cancer patients specifically. We then examined DNA from 93 plasma samples from patients with abnormal findings in the lung detected upon CT scan for aberrant methylation of these four gene promoters by quantitative fluorogenic real-time PCR. The patients were divided into two groups, ground glass opacity (n = 23) and cancerous tumors (n = 70). Plasma DNA from age-matched nodule-free individuals were used as controls (n = 80).Results: In plasma, 73% of patients with cancerous tumors showed methylation of at least one gene with a specificity of 71% (P = 0.0001). Only 22% patients with ground glass opacity exhibited methylation of at least one gene. When smoking history was taken into account, 72% of cancer patients with no smoking history or those who smoked P = 0.05) when compared with matched controls. Among heavy smokers with 20+ pack-years of smoking history, 30% of the control group and 73% of the patients with cancerous tumors showed methylation (P = 0.0001).Conclusions: These biomarkers can distinguish between cancerous and noncancerous abnormal CT findings. Clin Cancer Res; 16(13); 3463–72. ©2010 AACR.

Background: Many risk factors have been associated with cancer, such as age, family history, race, smoking, high-fat diet, and poor nutrition. It is important to reveal the molecular changes related to risk factors that could facilitate early detection, prevention, and overall control of cancer.Methods: We selected six cancer-specific methylated genes that have previously been reported in primary tumors and have also been detected in different bodily fluids of cancer patients. Here, we used quantitative fluorogenic real-time methylation-specific PCR in plasma DNA samples for the detection of methylation changes from an asymptomatic population who do not have any known cancer.Results: The promoter methylation frequencies of the studied genes were as follows: APC (7%), CCND2 (22%), GSTP1 (2%), MGMT (9%), RARβ2 (29%), and P16 (3%). Promoter methylation of at least one of the genes analyzed was observed in ∼46% (72 of 157) of the samples by binary dichotomization. Promoter hypermethylation of at least two genes was detected in 17% (26 of 157) of the samples. RARβ2 methylation was observed in 45% of subjects who had a high-fat diet in contrast with those who had a low-fat diet (23%; P = 0.007).Discussion: Our findings may help to elucidate early methylation changes that may lead to cancer development. These methylation changes could be due to exposure to risk factors and may be useful for cancer prevention measures such as changes in lifestyle. Longitudinal follow-up of a high-risk population is needed to understand the association of methylation of candidate genes in cancer development. (Cancer Epidemiol Biomarkers Prev 2009;18(11):2984–91)

Purpose: Hypermethylation of tumor suppressor gene promoters has been found in head and neck squamous carcinoma (HNSCC) and other solid tumors. We evaluated these alterations in pretreatment salivary rinses from HNSCC patients by using real-time quantitative methylation-specific PCR (Q-MSP).Experimental Design: Pretreatment saliva DNA samples from HNSCC patients were evaluated for patterns of hypermethylation by using Q-MSP. Target tumor suppressor gene promoter regions were selected based on a previous study describing a screening panel for HNSCC in a high-risk population subjects. The selected genes were: DAPK, DCC, MINT-31, TIMP-3, p16, MGMT, CCNA1.Results: We analyzed the panel in a cohort of 61 HNSCC patients. Thirty-three of the analyzed patients (54.1%) showed methylation of at least one of the selected genes in the saliva DNA. Pretreatment methylated saliva DNA was not significantly associated with tumor site (P = 0.209) nor clinical stage (P = 0.299). However, local disease control and overall survival were significantly lower in patients presenting hypermethylation in saliva rinses (P = 0.010 and P = 0.015, respectively). Multivariate analysis confirmed that this hypermethylation pattern remained as an independent prognostic factor for local recurrence (HR = 12.2; 95% CI = 1.8–80.6; P = 0.010) and overall survival (HR = 2.8; 95% CI = 1.2–6.5; P = 0.016).Conclusions: We were able to confirm an elevated rate of promoter hypermethylation in HNSCC saliva of patients by using a panel of gene promoters previously described as methylated specifically in HNSCC. Detection of hypermethylation in pretreatment saliva DNA seems to be predictive of local recurrence and overall survival. This finding has potential to influence treatment and surveillance of HNSCC patients. Clin Cancer Res; 17(14); 4782–9. ©2011 AACR.

Supplementary Table S2.

Supplementary Table S4.The correlation between clinicopathological features and methylation in lung cancer.

Overcoming acquired drug resistance remains a core challenge in the clinical management of human cancer, including in urothelial carcinoma of the bladder (UCB). Cancer stem-like cells (CSC) have been implicated in the emergence of drug resistance but mechanisms and intervention points are not completely understood. Here, we report that the proinflammatory COX2/PGE2 pathway and the YAP1 growth-regulatory pathway cooperate to recruit the stem cell factor SOX2 in expanding and sustaining the accumulation of urothelial CSCs. Mechanistically, COX2/PGE2 signaling induced promoter methylation of let-7, resulting in its downregulation and subsequent SOX2 upregulation. YAP1 induced SOX2 expression more directly by binding its enhancer region. In UCB clinical specimens, positive correlations in the expression of SOX2, COX2, and YAP1 were observed, with coexpression of COX2 and YAP1 particularly commonly observed. Additional investigations suggested that activation of the COX2/PGE2 and YAP1 pathways also promoted acquired resistance to EGFR inhibitors in basal-type UCB. In a mouse xenograft model of UCB, dual inhibition of COX2 and YAP1 elicited a long-lasting therapeutic response by limiting CSC expansion after chemotherapy and EGFR inhibition. Our findings provide a preclinical rationale to target these pathways concurrently with systemic chemotherapy as a strategy to improve the clinical management of UCB.Significance: These findings offer a preclinical rationale to target the COX2 and YAP1 pathways concurrently with systemic chemotherapy to improve the clinical management of UCB, based on evidence that these two pathways expand cancer stem-like cell populations that mediate resistance to chemotherapy. Cancer Res; 78(1); 168–81. ©2017 AACR.

Purpose: To establish a novel panel of cancer-specific methylated genes for cancer detection and prognostic stratification of early-stage non–small cell lung cancer (NSCLC).Experimental Design: Identification of differentially methylated regions (DMR) was performed with bumphunter on “The Cancer Genome Atlas (TCGA)” dataset, and clinical utility was assessed using quantitative methylation-specific PCR assay in multiple sets of primary NSCLC and body fluids that included serum, pleural effusion, and ascites samples.Results: A methylation panel of 6 genes (CDO1, HOXA9, AJAP1, PTGDR, UNCX, and MARCH11) was selected from TCGA dataset. Promoter methylation of the gene panel was detected in 92.2% (83/90) of the training cohort with a specificity of 72.0% (18/25) and in 93.0% (40/43) of an independent cohort of stage IA primary NSCLC. In serum samples from the later 43 stage IA subjects and population-matched 42 control subjects, the gene panel yielded a sensitivity of 72.1% (31/41) and specificity of 71.4% (30/42). Similar diagnostic accuracy was observed in pleural effusion and ascites samples. A prognostic risk category based on the methylation status of CDO1, HOXA9, PTGDR, and AJAP1 refined the risk stratification for outcomes as an independent prognostic factor for an early-stage disease. Moreover, the paralog group for HOXA9, predominantly overexpressed in subjects with HOXA9 methylation, showed poor outcomes.Conclusions: Promoter methylation of a panel of 6 genes has potential for use as a biomarker for early cancer detection and to predict prognosis at the time of diagnosis. Clin Cancer Res; 23(22); 7141–52. ©2017 AACR.

Supplementary Table 1 from Pharmacologic Unmasking of Epigenetically Silenced Genes in Breast Cancer

Purpose: To evaluate aberrant promoter hypermethylation of candidate tumor suppressor genes as a means to detect epigenetic alterations specific to solid tumors, including head and neck squamous cell carcinoma (HNSCC).Experimental Design: Using promoter regions identified via a candidate gene and discovery approach, we evaluated the ability of an expanded panel of CpG-rich promoters known to be differentially hypermethylated in HNSCC in detection of promoter hypermethylation in serum and salivary rinses associated with HNSCC. We did preliminary evaluation via quantitative methylation-specific PCR (Q-MSP) using a panel of 21 genes in a limited cohort of patients with HNSCC and normal controls. Using sensitivity and specificity for individual markers as criteria, we selected panels of eight and six genes, respectively, for use in salivary rinse and serum detection and tested these in an expanded cohort including up to 211 patients with HNSCC and 527 normal controls.Results: Marker panels in salivary rinses showed improved detection when compared with single markers, including a panel with 35% sensitivity and 90% specificity and a panel with 85% sensitivity and 30% specificity. A similar pattern was noted in serum panels, including a panel with 84.5% specificity with 50.0% sensitivity and a panel with sensitivity of 81.0% with specificity of 43.5%. We also noted that serum and salivary rinse compartments showed a differential pattern of methylation in normal subjects that influenced the utility of individual markers.Conclusions: Q-MSP detection of HNSCC in serum and salivary rinses using multiple targets offers improved performance when compared with single markers. Compartment-specific methylation in normal subjects affects the utility of Q-MSP detection strategies.

Supplementary Table 2 from Pharmacologic Unmasking of Epigenetically Silenced Genes in Breast Cancer

Supplemental Table S1. Relative expression of stem cell-related genes using RT2 profile PCR array.

Purpose: We investigated the feasibility of detecting aberrant DNA methylation of some novel and known genes in the serum of lung cancer patients.Experimental Design: To determine the analytic sensitivity, we examined the tumor and the matched serum DNA for aberrant methylation of 15 gene promoters from 10 patients with primary lung tumors by using quantitative methylation-specific PCR. We then tested this 15-gene set to identify the more useful DNA methylation changes in the serum of a limited number of lung cancer patients and controls. In an independent set, we tested the six most promising genes (APC, CDH1, MGMT, DCC, RASSF1A, and AIM1) for further elucidation of the diagnostic application of this panel of markers.Results: Promoter hypermethylation of at least one of the genes studied was detected in all 10 lung primary tumors. In majority of cases, aberrant methylation in serum DNA was accompanied by methylation in the matched tumor samples. In the independent set, using a single gene that had 100% specificity (DCC), 35.5% (95% CI: 25–47) of the 76 lung cancer patients were correctly identified. For patients without methylated DCC, addition of a logistic regression score that was based on the five remaining genes improved sensitivity from 35.5% to 75% (95% CI: 64–84) but decreased the specificity from 100% to 73% (95% CI: 54–88).Conclusion: This approach needs to be evaluated in a larger test set to determine the role of this gene set in early detection and surveillance of lung cancer. Clin Cancer Res; 17(13); 4494–503. ©2011 AACR.

Supplementary Table 3 from Pharmacologic Unmasking of Epigenetically Silenced Genes in Breast Cancer

Supplementary Tables 1-4 from Changes in CpG Islands Promoter Methylation Patterns during Ductal Breast Carcinoma Progression

Supplementary Table S1.The PCR condition and sequences of the primer and the fluorescent probe used in this study.

Supplementary Data from Evaluation of Promoter Hypermethylation Detection in Body Fluids as a Screening/Diagnosis Tool for Head and Neck Squamous Cell Carcinoma

Supplementary figures 1-4 from Changes in CpG Islands Promoter Methylation Patterns during Ductal Breast Carcinoma Progression

Supplemental information includes Supplemental Figure S1. The characterization of SOX2 as an oncogene in bladder cancer, Supplemental Figure S2. Stem cell-related molecules associated with SOX2 expression, Supplemental Figure S3. CD24+/CD133+ as a potential marker for SOX2-expressing CSCs, Supplemental Figure S4. COX2/PGE2 signaling pathway in regulating SOX2, Supplemental Figure S5. The association of PGE2 expression with apoptosis in YAP1-LV or YAP1-sh cells, Supplemental Figure S6. Correlation among SOX2, YAP1, and COX2 expression in human UCB samples, Supplemental Figure S7. CSC expansion following CDDP treatment suppressed by combination treatment with verteporfin and celecoxib, Supplemental Figure S8. The EGFR-regulated YAP1 expression via PI3K signaling in basal-type UCB, and Supplementary Materials and Methods.

Purpose: Aberrant promoter hypermethylation of several known or putative tumor suppressor genes occurs frequently during the pathogenesis of various cancers including breast cancer. Many epigenetically inactivated genes involved in breast cancer development remain to be identified. Therefore, in this study we used a pharmacologic unmasking approach in breast cancer cell lines with 5-aza-2′-deoxycytidine (5-aza-dC) followed by microarray expression analysis to identify epigenetically inactivated genes in breast cancer.Experimental Design: Breast cancer cell lines were treated with 5-aza-dC followed by microarray analysis to identify epigenetically inactivated genes in breast cancer. We then used bisulfite DNA sequencing, conventional methylation-specific PCR, and quantitative fluorogenic real-time methylation-specific PCR to confirm cancer-specific methylation in novel genes.Results: Forty-nine genes were up-regulated in breast cancer cells lines after 5-aza-dC treatment, as determined by microarray analysis. Five genes (MAL, FKBP4, VGF, OGDHL, and KIF1A) showed cancer-specific methylation in breast tissues. Methylation of at least two was found at high frequency only in breast cancers (40 of 40) as compared with normal breast tissue (0 of 10; P < 0.0001, Fisher's exact test).Conclusions: This study identified new cancer-specific methylated genes to help elucidate the biology of breast cancer and as candidate diagnostic markers for the disease.

Supplementary Table S2.Thirty genes for further analyses selected from LUAD TCGA dataset.

Supplementary Figure 1, Table 1 from Detection of Promoter Hypermethylation in Salivary Rinses as a Biomarker for Head and Neck Squamous Cell Carcinoma Surveillance

Supplementary Table S3.The sensitivity and specificity of the 6 genes for cancer detection in body fluids.

Supplementary Table 1 from Association between Lifestyle Factors and CpG Island Methylation in a Cancer-Free Population

Supplementary Figure S1; Supplementary Tables S1-S3.

Supplementary Table 2 from Association between Lifestyle Factors and CpG Island Methylation in a Cancer-Free Population

Supplementary Table S3.

Supplementary Table S1.

Aberrant promoter methylation of several known or putative tumor suppressor genes occurs frequently during carcinogenesis, and this epigenetic change has been considered as a potential molecular marker for cancer. We examined the methylation status of nine genes (APC, CDH1, CTNNB1, TIMP3, ESR1, GSTP1, MGMT, THBS1, and TMS1), by quantitative methylation specific PCR. Synchronous preinvasive lesions (atypical ductal hyperplasia and/or ductal carcinoma in situ) and invasive ductal breast carcinoma from 52 patients, together with pure lesions from 24 patients and 12 normal tissues paired to tumor and 20 normal breast distant from tumor were analyzed. Aberrant promoter methylation was detected in both preinvasive and invasive lesions for genes APC, CDH1, CTNNB1, TIMP3, ESR1, and GSTP1. However, hierarchical mixed model and Generalized Estimating Equations model analyses showed that only APC, CDH1, and CTNNB1 promoter regions showed a higher frequency and methylation levels in pathologic samples when compared with normal breast. Whereas APC and CTNNB1 did not show differences in methylation levels or frequencies, CDH1 showed higher methylation levels in invasive tumors as compared with preinvasive lesions (P < 0.04, Mann-Whitney test with permutation correction). The analysis of APC, CDH1, and CTNNB1 methylation status was able to distinguish between normal and pathologic samples with a sensitivity of 67% (95% confidence interval, 60-71%) and a specificity of 75% (95% confidence interval, 69-81%). Our data point to the direct involvement of APC, CDH1, and CTNNB1 promoter methylation in the early stages of breast cancer progression and suggest that they may represent a useful tool for the detection of tumor cells in clinical specimens. (Cancer Epidemiol Biomarkers Prev 2009;18(10):2694–700)

Supplementary Table 1 from Quantitative Detection of Promoter Hypermethylation of Multiple Genes in the Tumor, Urine, and Serum DNA of Patients with Renal Cancer

PDF file - 2120KB, FAK activity is significantly higher in erlotinib-resistant cells from lung and H and N origin. Total cell lysates were extracted from two pairs of lung (H358/H1703 and Calu3/Calu6) and two pairs of H and N (SCC-S/SCC-R and JHU011/JHU028) cancer cell lines and were subjected to immunoblot analysis with antibodies specific for phosphorylated and total FAK. Beta-actin was used a loading control.

Supplementary Table 6 from Genome-Wide Promoter Analysis Uncovers Portions of the Cancer Methylome

Supplementary Figure 1 from N-Methyl-d-Aspartate Receptor Type 2B Is Epigenetically Inactivated and Exhibits Tumor-Suppressive Activity in Human Esophageal Cancer

PDF file - 197KB

Supplementary Table 5 from Genome-Wide Promoter Analysis Uncovers Portions of the Cancer Methylome

Supplementary Figure 2 from N-Methyl-d-Aspartate Receptor Type 2B Is Epigenetically Inactivated and Exhibits Tumor-Suppressive Activity in Human Esophageal Cancer

PDF file - 127KB, Levels of Mig6 protein in the panel of 25 human cancer cell lines with known erlotinib resistance was identified by immunoblot analysis followed by densitometric quantification. The expression level of Mig6 was plotted against IC50 of corresponding cell line.