Table 1 Demographic/clinical information of tissue sample cohort

From: Spatial omics-based machine learning algorithms for the early detection of hepatocellular carcinoma

 

Patients tumorsa

Serumb

Number

48

23

Gender (male: female)c

36:12

14:9

Age (years; with STDEV)

58.7 (±10.8)

61.3 (±7.0)

Race/Ethnicity (African American: Asian: White Hispanic: White Non-Hispanic: unknownd

27:1:6:13:1

15:0:3:5:0

Etiology(Alcohol: HBV:HCV:NASH:Unknown)e

5:1:34:1:7

5:0:17:1:0

Child-Pugh (A:B:C)f

43:5:0

23:0:0

Number of Lesions (mean with range)g

1.05 (1–3)

1.05 (1–2)

Tumor Burden (mean with range)h

3.7 cm(1.2–16.3)

4.3 cm (1.3–16.3)

BCLC Stage (0:A:B:C)i

3:45:1:0

2:20:1:0

AFP Level (ng/mL) (mean and range)j

343(2–7632)

228(2-4461)

  1. a) HCC was defined using AASLD criteria. There are 53 HCC tissue samples from the 48 patients. b) Subset of HCC patients from whom serum and tissue was available. c) Gender with the number in each group. d) The number in each group as stated. e) HBV, hepatitis b virus, HCV, hepatitis C virus, NASH, non alcoholic steato-hepatitis, unknown, liver disease from unknow etiology. Actual numbers given. f) Child-Pugh score for degree of liver disease, actual number given. g) Number of lesions as detected by MRI or CT-Scan. Mean with range is given h) Size of all tumors. Mean with range is given. i). The Barcelona Clinic Liver Cancer (BCLC) Staging System. Actual numbers in each group give. stage 0: very early, stage A: early, stage B: immediate, stage C: advanced, stage D: end-stage. j) AFP, alpha-fetoprotein.
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