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Imaging, Diagnosis, Prognosis

Global Methylation Profiling for Risk Prediction of Prostate Cancer

Saswati Mahapatra, Eric W. Klee, Charles Y.F. Young, Zhifu Sun, Rafael E. Jimenez, George G. Klee, Donald J. Tindall and Krishna Vanaja Donkena
Saswati Mahapatra
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Eric W. Klee
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Charles Y.F. Young
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Zhifu Sun
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Rafael E. Jimenez
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George G. Klee
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Donald J. Tindall
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Krishna Vanaja Donkena
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DOI: 10.1158/1078-0432.CCR-11-2090 Published May 2012
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  • Figure 1.
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    Figure 1.

    Methylation of genes in prostate cancer tissues, analyzed using Infinium Methylation27 BeadChips. Cluster diagram depicting genes that distinguish 2 contrast groups. A, genes that are significantly methylated in prostate cancer tissues (n = 158) compared with normal prostate (n = 34); normal (N), nonrecurrence (NR), biochemical recurrence (BR), local recurrence (LR), and systemic recurrence (SR) prostate cancer tissues. B, hypermethylated genes in tissues of patients with recurrent prostate cancer (n = 98) compared with nonrecurrent patients (n = 60). C, significance of genes methylated in prostate cancer tissues of patients with clinical recurrence (n = 59) compared with patients with only biochemical recurrence (n = 39). D, genes that are methylated in tissues of patients with systemic recurrence (n = 23) compared with local recurrence (n = 36). Each row represents a gene and each column a tissue sample. Methylation is color scaled from white to black such that white represents zero (no methylation detected) and black represents more than 99% (input DNA is methylated), respectively, relatively to the median of the reference pool. Color saturation is proportional to the magnitude of the difference from the mean. Each gene is labeled by its gene name.

  • Figure 2.
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    Figure 2.

    Representative pyrogram of genes methylated in prostate cancer tissues. The sequence in the top part of each pyrogram represents the sequence under investigation. The sequence below the pyrogram indicates the sequentially added nucleotides. The gray regions highlight the analyzed C/T sites, with percentage values for the respective cytosine above them. A, pyrogram of genes HIF3A, HAAO, RARβ, and GSTP1 methylated in prostate cancer tissues. B, pyrogram of genes RUNX3, HS3ST2, CRIP1, and FLNC methylated in prostate cancer tissues of patients who had recurrence.

Tables

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  • Table 1.

    Prostate cancer tissues used for methylation microarray analysis

    NonrecurrentBiochemical recurrenceLocal recurrenceSystemic recurrence
    Number of patients75434436
    Age, y62.61 ± 8.0464.04 ± 5.9563.31 ± 6.0364.41 ± 7.57
    Preoperative PSA, ng/mL
     <417 (22.6)1 (2.3)2 (4.5)3 (8.3)
     4–1045 (60)22 (51.1)19 (43.1)13 (36.1)
     >1012 (16)17 (39.5)15 (34.09)15 (13.8)
     n.a.19 (1.3)3 (6.9)8 (18.1)5 (13.8)
    Gleason score
     623 (30.6)4 (9.3)3 (6.8)0
     734 (45.3)19 (44.1)27 (61.3)11 (30.5)
     88 (10.6)8 (18.6)6 (13.6)5 (13.8)
     910 (13.3)12 (27.9)8 (18.1)15 (41.6)
     100005 (13.8)
    TNM
     T2a19 (25.3) [4]7 (16.2) [1]11 (25) [3]1 (2.7)
     T2b30 (40) [16]14 (32.5) [3]16 (36.3) [9]6 (16.6) [4]
     T3a20 (26.6) [11]10 (23.2) [7]8 918.1) [4]12 (33.3) [5]
     T3b6 (8) [3]12 (27.9) [9]7 (15.9) [3]11 (30)[7]
     T4002 (4.5) [1]6 (16.6) [4]
    Ploidy
     Diploid38 (50.6)19 (44.1)17 (38.6)15 (41.6)
     Tetraploid29 (38.6)19 (44.1)22 (50)13 (36.1)
     Aneuploid8 (10.6)5 (11.6)5 (11.3)8 (22.2)
    GPSM score
     <1047 (62.2)15 (34.8)10 (22.7)6 (16.6)
     10–1222 (29.3)14 (32.5)20 (45.4)14 (38.8)
     >125 (6.6)11 (25.5)6 (13.6)12 (33.3)
     n.a.1 (1.3)3 (6.9)8 (18.2)5 (13.8)
    PSA progression, y02.33 ±1.770.77 ± 0.421.39 ± 1.54
    Local progression, y002.31 ± 1.183.27 ± 2.99
    Systemic progression, y0002.59 ±3.41
    Follow-up, y6.25 ± 1.485.87 ± 1.414.31 ± 1.694.43 ± 3.97
    Prostate death0006
    Other death0627

    NOTE: Mean ± S.D are shown for age, years for PSA, local, and systemic progression and follow-up years of patients with prostate cancer. Value in parentheses indicates the percentage of cases representing the group. Value in square brackets indicates the node-positive cases. Matched normal tissues from 40 patients [age (mean ± SD) = 63.15 ± 7.28] were used.

    Abbreviation: n.a., not available.

    • Table 2.

      Significance of differentially methylated genes in prostate cancer tissues, analyzed using Infinium Methylation27 BeadChips

      GeneSensitivity (95% CI)(95% CI)AUCt Test (P)Transcription start siteStrandCpG island location
      A, Genes that are significantly methylated in prostate cancer tissues (n = 158) compared with normal prostate (n = 34)a
       A0X196.2 (91.9–98.5)100 (89.7–100)0.992<0.000141+2: 201,158,654–201,159,798
       CYBA95.5 (91.1–98.2)97.1 (84.7–99.9)0.988<0.000183−16: 87,244,422–87,245,165
       EDG393.0 (87.9–96.4)97.1 (84.7 to 99.9)0.97<0.0001363+9: 90,794,956–90,796,827
       ELF488.6 (82.6–93.1)100 (89.7–100)0.994<0.0001600−X: 129,071,186–129,073,330
       EPB41L393.7 (88.7–96.9)100 (89.7–100)0.978<0.0001185−18: 5,532,741–5,534,303
       FLJ1205694.3 (89.5–97.4)100 (89.7–100)0.978<0.0001316+2: 71,058,922–71,060,108
       FLJ9065096.2 (91.9–98.6)100 (89.7–100)0.994<0.0001449+5: 115,324,903–115,327,577
       FLT499.4 (96.5–99.9)100 (89.7–100)0.999<0.0001691−5: 180,008,152–180,010,059
       GAS696.2 (91.9–98.6)100 (89.7–100)0.99<0.0001964+13: 113,546,578–113,548,278
       GRASP96.2 (91.9–98.6)100 (89.7–100)0.993<0.0001159+12: 50,686,496–50,688,060
       GSTP191.8 (86.3–95.6)100 (89.7–100)0.995<0.0001755+11: 67,106,980–67,108,634
       HAAO93.0 (87.9–96.5)100 (89.7–100)0.979<0.0001454−2: 42,873,041–42,874,496
       HIF3A95.6 (91.1–98.2)100 (89.7–100)0.989<0.0001153+19: 51,491,754–51,492,473
       HOXC1189.2 (83.3–93.6)97.1 (84.7–99.9)0.985<0.000120+12: 52,652,893–52,656,105
       LEP98.1 (94.6–99.6)97.1 (84.7–99.9)0.997<0.000151+7: 127,667,928–127,668,724
       MGC3960695.6 (91.1–98.2)100 (89.7–100)0.992<0.0001634+X: 134,383,127–134,384,321
       MOBKL2B92.4 (87.1–96.0)100 (89.7–100)0.97<0.0001851−9: 27,517,915–27,520,017
       RAB3491.8 (86.3–95.6)94.1 (80.3–99.3)0.976<0.0001157−17: 24,068,248–24,069,280
       RARβ93.0 (87.9–96.5)100 (89.7–100)0.986<0.0001352+3: 25,444,208–25,445,101
       RHCG95.6 (91.1–98.2)100 (89.7–100)0.993<0.0001110−15: 87,840,274–87,841,084
       RND293.0 (87.9–96.5)100 (89.7–100)0.996<0.0001180+17: 38,429,704–38,431,262
       SLC34A291.1 (85.6–95.1)94.1 (80.3–99.3)0.966<0.000144+4: 25,266,077–25,266,795
       SPATA695.6 (91.1–98.2)100 (89.7–100)0.991<0.0001595−1: 48,709,694–48,710,842
       TPM494.9 (90.3–97.8)100 (89.7–100)0.977<0.0001306+19: 16,047,744–16,049,758
       ZNF15497.5 (93.6–99.3)94.1 (80.3–99.3)0.99<0.0001100−19: 62,911,404–62,912,681
      B, Hypermethylated genes in tissues of patients with recurrent prostate cancer (n = 98) compared with nonrecurrent cancer (n = 60)b
       ACTL6B65.3 (55.1–74.6)66.7 (53.3–78.3)0.702<0.0001136−7: 100,091,590–100,092,362
       AEBP163.3 (52.9–72.8)60.0 (46.5–72.4)0.646<0.002138+7: 44,110,152–44,111,361
       AMID77.5 (68.0–85.4)76.7 (64.0–86.6)0.843<0.000125−10: 71,562,005–71,562,897
       CD8A75.5 (65.8–83.6)71.7 (58.6–82.5)0.829<0.0001114−2: 86,869,360–86,871,837
       CRIP161.2 (50.8–70.9)60.0 (46.5–72.4)0.638<0.003793+14: 105,023,580–105,025,363
       FLJ3093480.6 (71.4–87.9)78.3 (65.8–87.9)0.862<0.000182+11: 65,357,151–65,358,255
       FLNC79.6 (70.3–87.1)81.7 (69.6–90.5)0.864<0.0001131+7: 128,257,322–128,258,463
       FMOD76.5 (66.9–84.5)68.3 (55.0–79.7)0.748<0.000197−1: 201,586,895–201,587,112
       FOXE365.3 (55.0–74.6)63.3 (49.9–75.4)0.697<0.0001570+1: 47,654,351–47,655,785
       GAS766.3 (56.1–75.6)66.7 (53.3–78.3)0.744<0.0001395−17: 10,041,659–10,043,517
       GDPD570.4 (60.3–79.2)65.4 (51.6–76.8)0.713<0.0001408−11: 74,913,525–74,915,608
       HS3ST265.3 (55.0–74.6)75.0 (62.1–85.3)0.798<0.0001257+16: 22,732,005–22,734,135
       LOC34913667.3 (57.1–76.5)65.0 (51.6–76.9)0.742<0.0001479−7: 150,736,827–150,739,238
       NEUROG166.3 (56.1–75.6)70.0 (56.8–81.2)0.731<0.000119−5: 134,898,284–134,900,130
       PLTP68.4 (58.2–77.4)75.1 (62.1–85.3)0.709<0.0001165−20: 43,972,342–43,974,350
       PTGER266.3 (56.1–75.6)66.7 (53.3–78.3)0.739<0.0001199+14: 51,850,265–51,852,038
       RASGRF269.4 (59.3–78.3)71.7 (58.6–82.5)0.763<0.0001106+5: 80,291,476–80,292,927
       RUNX367.4 (57.1–76.5)71.7 (58.6–82.6)0.746<0.0001528−1: 25,127,692–25,131,906
       SIX665.3 (55.0–74.6)68.3 (55.0–79.7)0.745<0.0001185+14: 60,045,112–60,046,647
       SLC9A369.4 (59.3–78.3)70.0 (56.8–81.2)0.713<0.0001178−5: 576,269–577,990
       SPSB462.2 (51.9–71.8)61.7 (48.2–73.9)0.658<0.000891+3: 142,252,136–142,254,676
       SRD5A270.4 (60.3–79.2)71.7 (58.6–82.5)0.748<0.0001125−2: 31,658,633–31,660,643
       SUSD364.3 (54.0–73.7)63.3 (49.9–75.4)0.652<0.0014560+9: 94,860,370–94,861,840
       SYT1066.3 (56.1–75.6)65.4 (51.6–76.8)0.714<0.0001254−12: 33,482,438–33,484,467
       TMEM7466.3 (56.1–75.6)68.3 (55.0–79.7)0.664<0.000514−8: 109,868,266–109,869,213
      C, Significance of genes methylated in prostate cancer tissues of patients with clinical recurrence (n = 59) compared with patients with only biochemical recurrence (n = 39)c
       CHST769.5 (56.1–80.8)64.1 (47.2–78.8)0.668<0.0050255+X: 46,317,905–46,319,911
       LMX1B71.2 (57.9–82.2)64.1 (47.2–78.8)0.684<0.0021106+9: 128,412,539–128,418,074
       PHLDA 361.0 (47.4–73.4)59.0 (42.1–74.4)0.606<0.0772348−1: 199,704,096–199,705,294
       RAFTLIN62.7 (49.1–75.0)64.1 (47.2–78.8)0.668<0.005089−3: 16,529,156–16,530,542
       RASGRF266.1 (52.6–77.9)69.2 (52.4–82.9)0.690<0.0015106+5: 80,291,476–80,292,927
       TNFRSF10D62.7 (49.2–74.9)66.6 (49.7–80.9)0.700<0.000825−8: 23,076,422–23,077,641
       ZNF13559.3 (45.7–71.9)61.5 (44.6–76.6)0.664<0.0061144+19: 63,262,091–63,264,376
      D, Genes that are methylated in tissues of patients with systemic recurrence (n = 23) compared with local recurrence (n = 36)d
       ALPL65.2 (42.7–83.6)63.8 (46.2–79.1)0.683<0.0182269+1: 21,707,968–21,709,033
       AMPH65.2 (42.7–83.6)75.0 (57.8–87.8)0.77<0.000535−7: 38,636,784–38,637,861
       BCDIN378.2 (56.3–92.5)83.3 (67.1–93.6)0.861<0.0001873+7: 99,863,663–99,866,414
       BCL11B82.6 (61.2–95.0)80.5 (63.9–91.8)0.797<0.0001274−14: 98,806,507–98,807,587
       BRD473.9 (51.6–89.7)69.4 (51.8–83.6)0.724<0.0038665−19: 15,252,811–15,253,031
       C18orf3478.2 (56.3–92.5)77.7 (60.8–89.8)0.806<0.0001174−18: 29,274,320–29,275,128
       DCAMKL182.6 (61.2–95.5)91.6 (77.5–98.2)0.874<0.0001734−13: 35,602,437–35,603,802
       FGF591.3 (71.9–98.9)83.3 (67.1–93.6)0.911<0.0001544+4: 81,405,716–81,407,598
       FLJ4248682.6 (61.2–95.0)77.7 (60.8–89.8)0.834<0.000199−14: 104,141,516–104,142,673
       JAM286.9 (66.4–97.2)86.1 (70.5–95.3)0.936<0.0001587+21: 25,933,195–25,934,679
       LHX982.6 (61.2–95.0)69.4 (51.8–83.6)0.822<0.0001106+1: 196,146,152–196,148,467
       LOC28353778.2 (56.3–92.5)75.0 (57.8–87.8)0.811<0.0001363−13: 28,190,499–28,191,650
       LRAT65.2 (42.7–83.6)72.2 (54.8–85.8)0.727<0.0034462+4: 155,882,485–155,885,476
       PDE4B91.3 (71.9–98.9)77.7 (60.8–89.8)0.856<0.0001423+1: 66,030,397–66,031,906
       POU3F391.3 (71.9–98.9)75.2 (57.8–87.8)0.865<0.0001248+2: 104,835,039–104,840,521
       PTGS260.8 (38.5–80.2)80.5 (63.9–91.8)0.688<0.015337−1: 184,915,751–184,916,808
       RASGRF273.9 (51.6–89.7)75.4 (57.8–87.8)0.788<0.0002106+5: 80,291,476–80,292,927
       SLC27A678.2 (56.3–92.5)69.4 (51.8–83.6)0.742<0.001722+5: 128,328,505–128,329,501
       SLC03A173.9 (51.6–89.7)83.3 (67.1–93.3)0.797<0.0001333+15: 90,196,981–90,198,831
       SPSB482.6 (61.2–95.0)80.6 (63.9–91.8)0.824<0.000191+3: 142,252,136–142,254,676
       STAT369.5 (47.0–86.7)69.4 (51.8–83.6)0.744<0.0017757−17: 37,794,547–37,794,828
       SYN273.9 (51.6–89.7)80.5 (63.9–91.8)0.809<0.0001406+3: 12,020,118–12,021,768
       TACR369.5 (47.0–86.7)72.2 (54.8–85.8)0.704<0.0086346−4: 104,860,449–104,860,859
       TIRAP73.9 (51.6–89.7)69.4 (51.9–83.6)0.779<0.0003645+11: 125,657,511–125,658,777
       WNT1165.22 (42.7–83.6)63.9 (46.2–79.2)0.753<0.0011221−11: 75,594,610–75,600,053

      NOTE: Performance of the genes was analyzed by AUC of the genes for the 2 contrast groups. Sensitivity and specificity are reported for the threshold that minimized sensitivity–specificity. The P value indicates the statistical significance. Location of the CpG site used for analysis is given with respect to the distance from the transcription start site. The CpG island location on the respective chromosome is shown.

      Abbreviation: CI, confidence interval.

      • ↵at test P value is obtained by comparing tumor (n = 158) and benign tissues (n = 34).

      • ↵bt test P value is obtained by comparing prostate cancer tissues of patients with recurrence (n = 98) and without recurrence (n = 60).

      • ↵ct test P value is obtained by comparing prostate cancer tissues of patients with clinical recurrence (n = 59) and biochemical recurrence (n = 39).

      • ↵dt test P value is obtained by comparing prostate cancer tissues of patients with systemic recurrence (n = 23) and local recurrence (n = 36).

    • Table 3.

      Forward and reverse primers used for PCR amplification and the sequencing primer used for pyrosequencing reactions

      GeneAnnealing temp, °CForward primerReverse primerSequencing primer
      HIF3A56.1GGTAGGAGTTTTGGGAATTGG*-CCACCCCTACAATCCCTAAGGGTGAGAGTTAAGA
      HAAO56.1AGGTTTGGGGTTTATTTTGAAT*-TAAAAATCCCAACACCTAAAAACACTTTTAGATGGGAAAGTTAAATT
      RARβ56.1GTGTTTTTAAAATGAGTAGGGGAGGACCATTCTCTATTCTACAATTTAAAACTTACTTATTTGAGGAGGTTTAGTTTGGAA
      GSTP157.5*-AGGGAGTAAATAGATAGTAGGAAGAGCCTCTCCCCTACCCTATAAAAATCCCAACCATCTTAAAAAATTTC
      CRIP159.2TGTTTTAAGTGTAATAAGGAGGTGTAT*-ACAAAAACCTCCACCCTCAATAAGGAGGTGTATT
      RUNX357.5Hs_RUNX3_01_PM00000112
      HS3ST259.2GATTATAGGGGAGGGA11111GGAGAA*-ACACTTACCTATATTACAACTTCCTATACGGGA11111GGAGAAG
      FLNC59.2Hs_FLNC_03_PM00127330
      RASGRF256.1*-AAGTAGAAGAGTATATTTTGGTAGAGAACACCCCCTATACCTAACCTTTCTAACAAACCCCACTTCCTAAATAAAAAAA
      PHLDA357.5GGGGTTTTATGGAGTGTTAAGTAATTAGT*-AACAACCCAAACCTTCTAACTTTTGAAGTTTAATATGTAATTGGTG
      TNFRSF10D59.2*-ATGGTGGTTAGGTTGGTTTTTAACACTAAACTACCCCAAAAAAAATTCCAACCTCAAAAAACCAC
      ZNF13557.5GGI I I I I 1 AG 11 GAG 1A1 AG 1 GAG IGGG*-CCTAAAAAAACCCCTTTTTCTCCGTATAGTGAGTGGGG
      BCL11B57.5ATATTAATTAGGGTAGAGGAGGAGGT*-ATAATAAACTCCCTCTAAAACAAATACTAGATGTAGGGGTAATGTTT
      POU3F359.2*-GGGGTAGGGTTGTGATTTATTGAAAACCCCTCCTCTATCAAAATAATCCAAACCAAAACCACTTCATACAAAAAAC

      NOTE: Annealing temperature used for PCR amplification is shown. RUNX3 and FLNC PyroMark assays were obtained from Qiagen.

      *Indicates the PCR primer with biotinylation.

      • Table 4.

        Validation of methylation by pyrosequencing in an independent batch tissue samples from 20 patients representing each group

        GeneSensitivity (95% CI)Specificity (95% CI)AUCt test (P)
        Group 1a
         HIF3A90.0 (68.3–98.77)100 (83.1–100)0.9320.0001
         HAAO89.4 (66.8–98.7)100 (83.1–100)0.9470.0001
         RARβ84.2 (60.4–96.6)100 (82.3–100)0.9120.0001
         GSTP194.7 (73.9–99.8)100 (82.3–100)0.9770.0001
        Group 2b
         CRIP165.0 (40.7–84.6)65.6 (40.7–84.6)0.7270.0139
         RUNX370.4 (45.7–88.1)75.3 (50.9–91.3)0.7880.0018
         HS3ST265.0 (40.8–84.6)60.0 (36.0–80.9)0.7330.0115
         FLNC70.3 (45.7–88.1)60.4 (36.0–80.8)0.6600.0835
         RASGRF275.7 (50.9–91.3)55.2 (31.5–76.9)0.6820.0515
        Group 3c
         PHLDA365.6 (40.7–84.6)65.0 (40.7–84.6)0.730.0129
         RASGRF275.4 (50.9–91.3)60.3 (36.0–80.8)0.7610.0047
         TNFRSF10D60.8 (36.0–80.8)75.6 (50.9–91.3)0.6920.0373
         ZNF13550.0 (27.2–72.8)50.0 (27.2–72.8)0.5550.5518
        Group 4d
         BCL11B75.2 (50.9–91.3)60.0 (36.0–80.8)0.7410.0091
         POU3F365.5 (40.7–84.6)70.7 (45.7–88.1)0.7010.0295
         RASGRF270.6 (45.7–88.1)75.4 (50.9–91.3)0.7480.0071

        NOTE: Performance of the genes was analyzed by AUC of the genes for the 2 contrast groups. Sensitivity and specificity are reported for the threshold that minimized sensitivity–specificity. The P value indicates the statistical significance. t test p value is obtained by comparing 20 tissues in each group.

        Abbreviation: CI, confidence interval.

        • ↵aGenes that are significantly methylated in prostate cancer tissues compared with normal prostate.

        • ↵bHypermethylated genes in tissues of patients with recurrent prostate cancer compared with nonrecurrent tissues.

        • ↵cSignificance of genes methylated in prostate cancer tissues of patients with clinical recurrence compared with patients with only biochemical recurrence.

        • ↵dGenes that are methylated in tissues of patients with systemic recurrence compared with local recurrence.

      Additional Files

      • Figures
      • Tables
      • Supplementary Data

        Files in this Data Supplement:

        • Supplementary Table 1A - PDF file - 419K, Significantly methylated genes in prostate cancer tissues from the binary group comparisons
        • Supplementary Table 6 - PDF file - 70K, Significance of PTGS2 methylation in different groups of prostate cancer tissues
        • Supplementary Table 1B - PDF file - 270K, Significantly methylated genes in prostate cancer tissues from the binary group comparisons
        • Supplementary Table 1C - PDF file - 112K, Significantly methylated genes in prostate cancer tissues from the binary group comparisons
        • Supplementary Table 1D - PDF file - 240K, Significantly methylated genes in prostate cancer tissues from the binary group comparisons
        • Supplementary Table 4A - PDF file - 269K, Significance of methylation in prostate cancer tissue samples from 4 microarrays with the batch effect
        • Supplementary Table 4B - PDF file - 273K, Significance of methylation in prostate cancer tissue samples from 4 microarrays with the batch effect
        • Supplementary Table 4C - PDF file - 111K, Significance of methylation in prostate cancer tissue samples from 4 microarrays with the batch effect
        • Supplementary Table 4D - PDF file - 267K, Significance of methylation in prostate cancer tissue samples from 4 microarrays with the batch effect
        • Supplementary Table 5 - PDF file - 172K, Prostate cancer tissues used for methylation analysis by pyrosequencing
        • Supplementary Table 3 - XLS file - 43K, Most significantly methylated genes associated with prostate cancer recurrence from the Cox multivariate model
        • Supplementary Table 2 - XLS file - 34K, Most significantly methylated genes associated with prostate cancer recurrence from the Cox univariate analysis
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      Clinical Cancer Research: 18 (10)
      May 2012
      Volume 18, Issue 10
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      Global Methylation Profiling for Risk Prediction of Prostate Cancer
      Saswati Mahapatra, Eric W. Klee, Charles Y.F. Young, Zhifu Sun, Rafael E. Jimenez, George G. Klee, Donald J. Tindall and Krishna Vanaja Donkena
      Clin Cancer Res May 15 2012 (18) (10) 2882-2895; DOI: 10.1158/1078-0432.CCR-11-2090

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      Global Methylation Profiling for Risk Prediction of Prostate Cancer
      Saswati Mahapatra, Eric W. Klee, Charles Y.F. Young, Zhifu Sun, Rafael E. Jimenez, George G. Klee, Donald J. Tindall and Krishna Vanaja Donkena
      Clin Cancer Res May 15 2012 (18) (10) 2882-2895; DOI: 10.1158/1078-0432.CCR-11-2090
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