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Table 2 The 10 genes prognosis relevant genes used for risk model construction

From: Overexpression of FES might inhibit cell proliferation, migration, and invasion of osteosarcoma cells

Gene

p

roc

HR

p value

RIPK3

0.000496906

1

0.508219103

0.000155969

STAT5A

0.006575353

1

0.549351768

0.000284081

LYL1

0.001610084

0.999701849

0.639572451

0.000741679

CRIP1

0.002200324

0.999642218

0.44753046

0.003005436

ICAM3

0.002828331

0.998926655

0.393200464

0.003695443

ETV7

0.000933371

0.999344067

0.673569092

0.004239205

FES

0.004138822

0.997674419

0.661430993

0.004372685

MAP4K1

0.009636057

0.993202147

0.679925064

0.005188387

SLC15A3

0.000583641

0.994514013

0.737447977

0.005444632

STAT3

0.000357612

0.994991055

0.609292291

0.005893217

  1. p indicates the significance between the high and low risk samples and survival, when its corresponding gene is added into risk score model in sequence, while p value indicates the significant correlation between its corresponding gene and prognosis
  2. ROC receiver operating characteristic, HR hazard ratio
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Cancer Cell International

ISSN: 1475-2867

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