Table 3.

Genes related to MMC sensitivity in breast, liver, and stomach cancer cell lines

RankGeneGenbank IDrP
A. Breast cancer
Sensitive
    1INHBBM316820.9720.000
    2NK4M598070.8380.018
    3HSPA1AM117170.7510.050
    4LOC54557AF0750500.7350.024
    5CD47Y008150.7170.045
Resistant
    1RPN2Y00282−0.8820.009
    2ATP5OX83218−0.8420.017
    3CASTD50827−0.8150.025
    4HPCAD16593−0.7760.024
    5ZNF9M28372−0.7740.024
    6A2LPU70671−0.7720.042
    7IL-18D49950−0.7470.033
    8NRGNY09689−0.7270.041
B. Liver cancer
Sensitive
    1EB1U241660.8720.002
    2JUNJ041110.8130.008
    3EIF3S8U460250.7720.015
    4CTSDM112330.7530.012
    5SCYA5M211210.7410.022
    6PHBS856550.7390.023
    7HSPA1AM117170.7290.026
    8SPP1X136940.7230.018
    9TAB7X934990.7120.021
    10ACTN1X158040.6920.039
    11RXRBM848200.6780.045
    12PSME2D452480.6730.047
    13HLA-CM118860.6470.043
    14RPL19X635270.6430.033
Resistant
    1MAPK6X80692−0.8620.003
    2GCSHM69175−0.7930.006
    3G22P1M32865−0.7270.017
    4USP11U44839−0.7250.027
    5ACTBX00351−0.7150.020
    6YWHAZM86400−0.7060.022
    7IL-10M57627−0.6940.018
    8RFC4M87339−0.6770.016
    9CRLF1AF059293−0.6440.033
    10RPS6M20020−0.6190.042
    11EMX1X68879−0.6180.043
    12TK2U77088−0.6070.047
C. Stomach cancer
Sensitive
    1TEAD4U638240.8030.001
    2NR2C2U109900.7130.001
    3CSF1M374350.7110.004
    4RAB28X947030.6950.008
    5CBR3Ab0048540.6830.007
    6NFYCZ747920.6390.019
    7PGFX549360.6270.022
    8ERGM215350.6200.005
    9MLLT1L042850.6130.015
    10FOSK006500.5990.014
    11TNFAIP3M594650.5840.011
    12CNR2X743280.5810.009
    13DRPLAD318400.5770.024
    14PSMB5D290110.5720.026
    15SLC6A8L314090.5700.017
    16SERPINB10U354590.5700.013
    17VAT1U180090.5700.009
    18TJP1L148370.5620.029
    19PELP1U881530.5450.035
    20C1QBPL046360.5450.024
    21CDK10L332640.5430.045
    22SERPINA6J029430.5420.025
    23ACTBX003510.5380.021
    24SFRP4AF0266920.5380.018
    25EMX1X688790.5350.018
    26ACTBX003510.5290.024
    27RPS9U149710.5280.043
    28AMD1M211540.5220.038
    29RPL26X693920.5220.038
    30HNRPFL280100.5200.047
    31PTMSM243980.5020.040
    32STK12AF0085520.4980.050
    33NR2F6X127940.4910.046
    34GBE1L079560.4700.049
Resistant
    1PSMD8D38047−0.7470.002
    2LAMP2J04183−0.6770.002
    3CTSDM11233−0.6510.006
    4ADORA2BM97759−0.6450.005
    5ANXA4M19383−0.6390.008
    6PTPRKZ70660−0.6380.003
    7RAD23AD21235−0.6220.010
    8SDHAD30648−0.6130.015
    9PET112LAF026851−0.5980.024
    10DAD1D15057−0.5930.025
    11HSPB1X54079−0.5880.013
    12PSMA6X61972−0.5860.036
    13KDELR1X55885−0.5840.028
    14B2MAB021288−0.5810.023
    15M6PRM16985−0.5790.038
    16GCLCM90656−0.5760.015
    17SPTBN1M96803−0.5570.038
    18PACEX17094−0.5470.019
    19RPL24M94314−0.5390.017
    20SPINT2U78095−0.5380.039
    21STX4AU07158−0.5340.027
    22SIAT8BU33551−0.5320.028
    23CTSKU13665−0.5290.029
    24DCIL24774−0.5250.044
    25MELX56741−0.5250.045
    26PITPNBD30037−0.5230.038
    27YY1M76541−0.5120.043
    28RAB1M28209−0.4950.037
    29UBE2L6AF031141−0.4920.045
    30PSMB7D38048−0.4840.049
  • NOTE: Column 2 shows the name of the gene according to HUGO database. Column 4 shows Pearson correlation coefficient between chemosensitivity to drugs and gene expression. “Sensitive” indicates candidate genes sensitive to each drug. “Resistant” indicates genes resistant to each drug.