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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL39 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2727.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
11988.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
9157.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
8481.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
8434.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
8049.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
7819.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
7813.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
7633.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
7230.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
7124.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
7077.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
6957.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
6926.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
6867.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
6505.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
6429.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
6396.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
6350.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
6261.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
6086.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
6052.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
5982.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
5795.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
5582.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
5548.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
5515.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
5380.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
5276.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
5275.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
5221.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
5198.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
5115.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
5050.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
4883.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4851.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
4824.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
4758.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4731.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4639.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4596.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
4567.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
4514.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
4483.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
4462.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
4407.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4394.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
4366.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4347.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
4298.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
4229.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
4187.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
4162.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
4125.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
4099.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
4097.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
4093.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4060.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
4059.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
4045.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
3982.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3961.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
3923.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3907.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3857.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3836.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3777.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
3766.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
3746.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3741.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
3736.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
3725.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3708.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3707.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3704.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3703.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3692.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
3671.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3649.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
3636.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3618.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3523.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3477.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
3445.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
3398.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3395.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
3394.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
3391.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3386.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3362.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3351.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3346.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3325.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
3308.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3289.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
3268.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3255.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3241.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
3210.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
3200.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
3188.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3180.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
3101.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3085.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3076.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3032.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
3017.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
3008.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3004.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2993.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2993.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2976.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2962.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2953.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2947.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2938.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2920.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2888.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2888.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2881.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2863.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2857.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2846.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2838.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2819.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2816.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2799.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2791.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2779.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2774.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
2766.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
2726.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2722.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2694.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2683.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2679.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2678.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2664.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2664.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2662.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2658.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2657.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2651.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2645.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2641.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2632.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2621.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2619.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2603.3
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2594.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2591.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2576.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2567.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2558.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2549.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2525.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2521.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2519.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2518.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2510.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2506.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2500.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2436.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2425.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2419.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2405.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2404.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2403.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2398.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2398.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2396.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2375.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2372.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2337.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2337.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2335.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2316.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2310.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2278.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2276.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2272.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2270.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2267.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2263.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2261.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2258.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2254.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2246.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2227.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2224.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2209.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2209.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2207.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2192.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2179.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2177.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2175.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2172.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2144.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2143.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2133.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2131.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2130.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
2113.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2108.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2107.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2106.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2104.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
2096.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2090.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2068.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
2063.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2057.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2051.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2051.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2043.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2032.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2024.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2020.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2017.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2000.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1999.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1997.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1995.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1980.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1976.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1965.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1954.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1951.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1946.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1928.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1923.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1911.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1908.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1889.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1883.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1868.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1859.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1843.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1835.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1829.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1828.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1826.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1810.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1792.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1786.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1782.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1775.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1771.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1768.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1764.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1750.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1747.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1746.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1733.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1729.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1725.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1725.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1723.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1716.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1710.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1709.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1700.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1697.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1695.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1695.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1691.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1681.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1675.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1661.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1651.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1638.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1630.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1624.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1621.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1619.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1608.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1604.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1593.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1585.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1580.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1577.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1571.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1571.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1561.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1535.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1534.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1519.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1502.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1487.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1482.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1479.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1450.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1450.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1445.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1431.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1429.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1427.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1427.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1424.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1422.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1401.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1398.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1395.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1391.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1388.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1387.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1379.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1372.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1343.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1341.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1340.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1335.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1324.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1315.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1311.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1304.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1299.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1298.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1297.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1288.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1283.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1274.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1273.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1256.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1254.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1232.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1232.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1230.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1217.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1203.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1184.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1174.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1166.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1154.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1146.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1142.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1106.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1106.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1102.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1095.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1078.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1071.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1055.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1019.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1015.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
997.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
967.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
966.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
958.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
937.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
928.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
928.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
918.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
901.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
899.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
889.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
845.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
841.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
812.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
777.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
758.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL39 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2327.3
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
9490.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
7724.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
7295.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
6243.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
6079.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
6008.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
5859.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
5622.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
5451.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
5291.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
5077.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
5074.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
4984.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
4910.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
4667.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
4549.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
4517.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
4386.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
4340.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
4185.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
4114.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
3942.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3882.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
3873.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
3859.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
3844.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
3818.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
3803.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
3791.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
3727.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
3726.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3692.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
3680.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
3664.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
3627.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
3624.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
3617.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
3572.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3456.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3399.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
3354.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
3338.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
3325.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
3308.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
3294.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
3261.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3160.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
3152.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
3152.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3063.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
3040.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
3007.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
3005.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
2998.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2978.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2970.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
2915.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
2898.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
2879.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
2807.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2804.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2783.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2775.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
2741.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2694.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
2693.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
2666.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
2634.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
2632.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2616.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2609.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
2601.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
2582.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
2579.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
2573.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
2549.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
2519.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
2483.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
2466.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2451.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
2410.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
2378.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2355.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
2334.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
2319.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2312.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
2300.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2286.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
2284.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
2269.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2264.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
2247.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2240.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2235.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2227.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2217.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
2210.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2197.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
2195.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
2189.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2189.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
2182.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2173.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
2170.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
2151.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
2137.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
2113.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
2075.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
2072.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2070.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2070.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
2061.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
2039.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
2034.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
2012.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
2007.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
1979.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
1947.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
1903.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
1872.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1839.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
1833.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
1827.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1825.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
1824.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
1821.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
1815.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
1802.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
1796.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
1793.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
1774.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
1773.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
1765.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
1760.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
1744.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1735.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1731.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
1720.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1718.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
1715.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
1702.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
1696.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
1692.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1691.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
1691.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
1687.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1682.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
1667.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1662.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
1635.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
1635.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
1611.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1592.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1568.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1546.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
1544.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1543.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1531.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1519.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
1517.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
1499.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1497.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
1473.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
1468.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1456.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
1452.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
1450.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
1419.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1418.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1411.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1407.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
1389.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1382.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
1374.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
1373.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
1369.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
1365.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
1360.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
1356.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
1348.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1348.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
1347.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1341.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
1317.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
1308.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1301.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1298.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
1293.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
1285.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1274.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
1218.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1217.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
1211.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1209.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
1202.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
1198.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
1185.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1180.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1169.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
1160.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1158.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1156.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
1155.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
1151.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
1118.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
1118.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
1092.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1081.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
1065.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
1065.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
1028.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
1023.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
1017.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
1000.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
966.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
953.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
948.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
925.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
907.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
886.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
863.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
857.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
852.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
837.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
837.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
777.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
745.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
650.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
517.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
479.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
416.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
376
Normal
1.0
366
Normal
1.0
661
Tumor
1.0
113
Tumor
0.9
186
Normal
0.9
468
Normal
0.9
188
Normal
0.9
426
Normal
0.8
353
Tumor
0.8
427
Tumor
0.8
362
Normal
0.8
414
Normal
0.8
411
Tumor
0.8
368
Normal
0.7
428
Normal
0.7
466
Normal
0.7
557
Tumor
0.7
358
Normal
0.7
135
Tumor
0.7
332
Normal
0.7
136
Normal
0.7
384
Normal
0.7
422
Normal
0.7
413
Tumor
0.7
467
Tumor
0.7
187
Tumor
0.7
443
Tumor
0.7
148
Normal
0.7
395
Tumor
0.7
424
Normal
0.7
446
Normal
0.7
191
Tumor
0.7
636
Normal
0.7
331
Tumor
0.6
423
Tumor
0.6
223
Tumor
0.6
465
Tumor
0.6
196
Normal
0.6
195
Tumor
0.6
367
Tumor
0.6
365
Tumor
0.6
114
Normal
0.6
434
Normal
0.6
112
Tumor
0.6
618
Normal
0.6
451
Tumor
0.6
672
Normal
0.6
431
Tumor
0.6
146
Normal
0.6
642
Normal
0.5
436
Normal
0.5
222
Normal
0.5
662
Normal
0.5
214
Normal
0.5
456
Normal
0.5
267
Tumor
0.5
327
Tumor
0.5
286
Normal
0.5
218
Normal
0.5
433
Tumor
0.5
564
Normal
0.5
724
Normal
0.5
272
Normal
0.5
393
Tumor
0.5
123
Tumor
0.5
298
Normal
0.5
361
Tumor
0.5
352
Normal
0.5
285
Tumor
0.5
128
Normal
0.5
342
Normal
0.5
297
Tumor
0.5
221
Tumor
0.5
568
Normal
0.5
314
Normal
0.5
617
Tumor
0.5
421
Tumor
0.5
126
Normal
0.5
232
Normal
0.5
172
Normal
0.4
385
Tumor
0.4
387
Tumor
0.4
392
Normal
0.4
132
Normal
0.4
138
Normal
0.4
344
Normal
0.4
147
Tumor
0.4
354
Normal
0.4
137
Tumor
0.4
432
Normal
0.4
744
Normal
0.4
425
Tumor
0.4
452
Normal
0.4
464
Normal
0.4
743
Tumor
0.4
278
Normal
0.4
574
Normal
0.4
312
Normal
0.4
341
Tumor
0.4
396
Normal
0.4
628
Normal
0.4
722
Normal
0.4
444
Normal
0.4
664
Normal
0.4
162
Normal
0.4
217
Tumor
0.4
435
Tumor
0.3
192
Normal
0.3
111
Normal
0.3
185
Tumor
0.3
258
Normal
0.3
462
Normal
0.3
375
Tumor
0.3
141
Tumor
0.3
445
Tumor
0.3
394
Normal
0.3
127
Tumor
0.3
213
Tumor
0.3
262
Normal
0.3
728
Normal
0.3
161
Tumor
0.3
231
Tumor
0.3
666
Normal
0.3
563
Tumor
0.3
277
Tumor
0.3
171
Tumor
0.3
227
Tumor
0.3
814
Normal
0.3
648
Normal
0.3
635
Tumor
0.3
224
Normal
0.3
284
Normal
0.3
858
Normal
0.3
228
Normal
0.3
268
Normal
0.2
818
Normal
0.2
571
Tumor
0.2
388
Normal
0.2
356
Normal
0.2
386
Normal
0.2
455
Tumor
0.2
257
Tumor
0.2
1046
Normal
0.2
261
Tumor
0.2
665
Tumor
0.2
357
Tumor
0.2
567
Tumor
0.2
125
Tumor
0.2
311
Tumor
0.2
824
Normal
0.2
866
Normal
0.2
124
Normal
0.2
145
Tumor
0.2
142
Normal
0.2
864
Normal
0.2
671
Tumor
0.2
738
Normal
0.1
786
Normal
0.1
351
Tumor
0.1
463
Tumor
0.1
1044
Normal
0.1
383
Tumor
0.1
572
Normal
0.1
558
Normal
0.1
727
Tumor
0.1
343
Tumor
0.1
778
Normal
0.1
615
Tumor
0.1
313
Tumor
0.1
756
Normal
0.1
742
Normal
0.1
641
Tumor
0.0
851
Tumor
0.0
271
Tumor
0.0
528
Normal
0.0
482
Normal
0.0
715
Tumor
0.0
882
Normal
0.0
1016
Normal
0.0
698
Normal
0.0
461
Tumor
0.0
745
Tumor
0.0
874
Normal
0.0
627
Tumor
0.0
746
Normal
0.0
881
Tumor
0.0
517
Tumor
-0.1
813
Tumor
-0.1
1026
Normal
-0.1
474
Normal
-0.1
472
Normal
-0.1
447
Tumor
-0.1
984
Normal
-0.1
914
Normal
-0.1
777
Tumor
-0.1
723
Tumor
-0.1
955
Tumor
-0.1
1021
Tumor
-0.1
1027
Tumor
-0.1
448
Normal
-0.1
852
Normal
-0.1
865
Tumor
-0.2
391
Tumor
-0.2
873
Tumor
-0.2
663
Tumor
-0.2
857
Tumor
-0.2
815
Tumor
-0.2
816
Normal
-0.2
883
Tumor
-0.2
513
Tumor
-0.2
515
Tumor
-0.2
526
Normal
-0.2
878
Normal
-0.2
1028
Normal
-0.2
514
Normal
-0.2
363
Tumor
-0.2
867
Tumor
-0.2
473
Tumor
-0.2
755
Tumor
-0.2
573
Tumor
-0.2
737
Tumor
-0.3
1015
Tumor
-0.3
647
Tumor
-0.3
212
Normal
-0.3
481
Tumor
-0.3
868
Normal
-0.3
1043
Tumor
-0.3
616
Normal
-0.3
283
Tumor
-0.3
477
Tumor
-0.3
982
Normal
-0.3
863
Tumor
-0.3
685
Tumor
-0.3
714
Normal
-0.3
416
Normal
-0.3
817
Tumor
-0.3
862
Normal
-0.3
696
Normal
-0.4
536
Normal
-0.4
131
Tumor
-0.4
1045
Tumor
-0.4
478
Normal
-0.4
537
Tumor
-0.4
518
Normal
-0.4
1022
Normal
-0.4
713
Tumor
-0.4
913
Tumor
-0.4
523
Tumor
-0.4
471
Tumor
-0.4
527
Tumor
-0.4
412
Normal
-0.4
944
Normal
-0.5
911
Tumor
-0.5
497
Tumor
-0.5
884
Normal
-0.5
1042
Normal
-0.5
975
Tumor
-0.5
912
Normal
-0.5
211
Tumor
-0.5
952
Normal
-0.5
937
Tumor
-0.5
981
Tumor
-0.5
525
Tumor
-0.6
1014
Normal
-0.6
861
Tumor
-0.6
328
Normal
-0.6
978
Normal
-0.6
697
Tumor
-0.6
983
Tumor
-0.6
695
Tumor
-0.6
976
Normal
-0.6
364
Normal
-0.6
954
Normal
-0.6
686
Normal
-0.6
716
Normal
-0.6
488
Normal
-0.6
1032
Normal
-0.6
741
Tumor
-0.6
956
Normal
-0.6
493
Tumor
-0.7
977
Tumor
-0.7
534
Normal
-0.7
917
Tumor
-0.7
918
Normal
-0.7
923
Tumor
-0.7
516
Normal
-0.7
943
Tumor
-0.7
877
Tumor
-0.7
953
Tumor
-0.7
355
Tumor
-0.7
721
Tumor
-0.7
1025
Tumor
-0.8
1031
Tumor
-0.8
546
Normal
-0.8
964
Normal
-0.8
524
Normal
-0.8
535
Tumor
-0.8
494
Normal
-0.8
967
Tumor
-0.8
823
Tumor
-0.8
487
Tumor
-0.9
922
Normal
-0.9
924
Normal
-0.9
968
Normal
-0.9
538
Normal
-0.9
415
Tumor
-0.9
951
Tumor
-0.9
925
Tumor
-1.0
921
Tumor
-1.0
915
Tumor
-1.0
938
Normal
-1.0
926
Normal
-1.0
545
Tumor
-1.0
965
Tumor
-1.0
966
Normal
-1.0
554
Normal
-1.1
498
Normal
-1.1
1013
Tumor
-1.1
1041
Tumor
-1.2
963
Tumor
-1.2
484
Normal
-1.2
553
Tumor
-1.2
483
Tumor
-1.2
492
Normal
-1.2
533
Tumor
-1.3
916
Normal
-1.3
785
Tumor
-1.3
957
Tumor
-1.4
491
Tumor
-1.6
958
Normal
-1.8
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
