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. 2018 Aug 11;12(9):1559–1578. doi: 10.1002/1878-0261.12359

Table 4.

SigMuc1NWa component genes defined at their cutpoints associate with BCR

Genes Cutpointb P‐value Coefc P‐value
SLCO2A1 497.3292 0.09128 0.7967 0.00499**
CGNL1 3066.229 0.004126** 0.7966 0.000372***
SUPV3L1 545.8928 0.007953** 0.7992 0.000187***
TATDN2 1756.057 0.002471** 0.8731d 8.48e‐5***
MGAT4B 1818.718 6.389e‐5*** 1.0331 2.61e‐6***
VAV2 1489.06 0.000547*** 0.9402 9.94e‐6***
SLC25A33 297.5508 0.2522 0.8503 0.0218*
MCCC1 1233.159 0.001077** 1.0179 1.2e‐5***
ASNS 1041.086 0.01123* 1.0544 0.000109***
CASKIN1 106.4046 0.02646* 0.7006 0.00125**
DNMT3B 61.4086 0.008576** 0.9082 0.000175***
AURKA 81.1249 3.807e‐5*** 1.0223 1.12e‐6***
OIP5 16.4317 4.237e‐7*** 1.242d 2.64e‐8***
CTHRC1 180.8622 0.01389* 0.7608 0.000537***
GOLGA7B 23.2022 0.01249* 0.7623 0.000581***
a

RNA sequencing data of SigMuc1NW's component genes were retrieved from the TCGA Provisional dataset (cBioPortal).

b

Cutpoint was estimated using Maximally Selected Rank Statistics in R.

c

Coefficient to BCR was determined using univariate Cox proportion hazard analysis.

d

PH assumption was at P < 0.05.

*P < 0.05; **P < 0.01; ***P < 0.001.