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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.
RPS29 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
2479.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
10339.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
9973.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
9115.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
8247.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
8080.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
7540.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
7533.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
7388.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
7279.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
6879.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
6614.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
6577.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
6435.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
6266.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
5756.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5577.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
5383.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
5343.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
5252.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
5094.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
5024.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
5017.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
4995.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
4811.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
4752.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
4642.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
4580.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
4570.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4561.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
4540.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4469.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
4464.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
4375.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
4367.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
4361.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
4307.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4215.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4170.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
4108.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
4107.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
4063.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
4043.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
4037.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3995.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3984.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3977.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3960.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
3911.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
3836.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
3803.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3800.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3788.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3762.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
3742.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3716.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
3713.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3684.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3678.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3651.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3647.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3647.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
3625.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
3612.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3576.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3537.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3535.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3529.6
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3523.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3516.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3503.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
3421.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
3352.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
3348.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3347.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
3286.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3250.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
3238.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3234.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
3231.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
3230.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
3207.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3199.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
3130.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
3127.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3117.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3101.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3076.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3062.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3051.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3050.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
3047.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3035.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
3015.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3015.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3012.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3006.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2979.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2923.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2897.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2885.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2870.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2866.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2844.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2827.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2821.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2815.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2803.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2785.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2784.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2783.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
2776.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2770.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2768.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2747.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2747.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2744.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2732.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2700.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2693.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2690.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2678.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2673.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2671.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2660.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2656.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2652.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2638.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2629.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2619.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2618.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2590.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2587.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2579.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2549.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2546.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2536.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2523.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2522.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2510.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2442.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2418.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2397.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
2394.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2385.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2372.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2371.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2364.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2363.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2348.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2345.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2339.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2334.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2331.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
2326.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2317.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2311.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2288.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2286.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2285.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2281.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2264.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2251.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2246.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2245.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2235.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2228.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2184.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2184.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2180.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2175.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2169.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2168.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2165.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2164.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
2155.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2154.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2153.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2148.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2139.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2137.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2117.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2117.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2117.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2109.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2100.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2089.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2084.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2073.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2067.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2065.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
2053.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2037.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2025.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2009.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
2007.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1985.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1980.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1945.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1925.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1897.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1882.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1878.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1876.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1876.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1864.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1862.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1857.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1855.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1849.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1834.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1826.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1825.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1824.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1806.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1803.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1789.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1789.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1776.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1774.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1771.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1770.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1769.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1766.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1757.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1749.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1747.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1746.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1738.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1737.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1715.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1711.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1709.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1707.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1703.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1701.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1691.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1678.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1677.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1675.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1660.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1647.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1641.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1636.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1633.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1632.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1631.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1616.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1608.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1607.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1585.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1574.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1571.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1570.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1564.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1553.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1546.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1542.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1536.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1536.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1536.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1529.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1527.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1526.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1512.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1511.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1504.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1502.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1499.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1497.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1491.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1480.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1477.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1468.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1458.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1455.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1447.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1430.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1423.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1404.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1390.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1381.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1377.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1369.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1363.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1362.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1356.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1344.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1332.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1315.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1307.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1306.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1298.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1273.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1273.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1273.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1263.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1263.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1262.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1241.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1239.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1238.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1238.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1236.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1232.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1228.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1223.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1208.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1202.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1199.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1158.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1149.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1147.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1144.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1141.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1135.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1132.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1125.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1123.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1108.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1102.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1100.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1096.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1090.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1074.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1073.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1073.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1072.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1051.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1048.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1036.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1031.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1022.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1020.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1015.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1013.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
999.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
997.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
989.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
985.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
975.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
975.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
961.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
953.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
951.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
945.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
943.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
937.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
924.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
923.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
912.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
912.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
901.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
871.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
824.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
794.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
788.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
767.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
700.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
695.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
692.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
648.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 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.
RPS29 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
1329.7
Number of samples
231
Samples
Sample
Description
pTPM
DO45161
74 years, male, NA, stage:2, dead, 540 days
4148.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
4044.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
3995.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
3744.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
3718.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
3442.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3429.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
3403.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
3130.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
3097.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2746.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
2664.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2656.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
2561.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2556.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
2518.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2509.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
2473.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
2457.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
2451.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2398.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2334.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
2334.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2275.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
2246.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
2246.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
2234.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
2126.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
2090.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
2088.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2081.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
2059.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
2052.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
2051.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
2048.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2038.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
2037.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
2025.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
2016.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2012.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
1999.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
1972.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
1969.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
1952.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
1941.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
1926.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
1926.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
1916.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
1915.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1903.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
1895.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1878.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1876.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
1838.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1829.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
1820.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
1810.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1800.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
1794.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
1782.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1780.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1710.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
1686.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1683.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1672.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
1643.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
1635.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
1611.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
1598.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
1594.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1592.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
1561.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
1553.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
1509.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
1499.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1497.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
1493.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1488.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
1487.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1477.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1475.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1464.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
1461.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1453.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
1440.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1430.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
1421.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1411.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1411.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1407.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
1398.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1392.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
1381.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
1346.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
1337.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
1321.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1319.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
1316.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
1306.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
1295.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1291.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
1288.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
1286.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
1281.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1277.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1275.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
1236.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
1200.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
1196.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
1193.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1193.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
1186.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
1183.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
1177.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
1175.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1170.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1162.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
1146.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1146.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
1135.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
1125.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1121.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1119.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
1116.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1109.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
1097.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
1094.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
1084.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1064.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
1061.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
1060.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
1050.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
1046.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
1033.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1018.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
1016.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1009.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
989.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
979.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
977.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
971.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
965.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
961.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
956.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
944.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
944.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
927.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
917.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
915.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
907.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
905.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
896.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
894.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
891.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
874.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
867.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
856.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
855.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
843.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
841.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
840.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
833.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
827.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
819.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
806.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
798.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
794.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
782.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
779.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
778.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
775.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
771.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
754.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
750.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
748.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
748.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
742.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
739.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
738.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
725.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
711.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
711.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
700.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
698.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
694.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
687.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
680.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
678.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
671.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
662.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
661.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
655.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
652.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
622.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
620.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
619.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
616.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
615.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
615.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
564.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
547.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
543.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
539.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
526.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
524.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
520.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
519.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
508.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
508.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
501.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
494.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
487.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
486.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
483.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
447.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
442.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
429.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
426.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
420.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
414.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
413.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
404.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
399.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
345.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
339.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
304.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
265.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
265.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
260.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
220.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
86.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
367
Tumor
0.8
131
Tumor
0.7
557
Tumor
0.7
537
Tumor
0.7
523
Tumor
0.6
661
Tumor
0.6
431
Tumor
0.6
1021
Tumor
0.6
113
Tumor
0.6
353
Tumor
0.5
411
Tumor
0.5
387
Tumor
0.5
777
Tumor
0.5
393
Tumor
0.5
727
Tumor
0.5
685
Tumor
0.5
965
Tumor
0.5
327
Tumor
0.5
332
Normal
0.5
497
Tumor
0.4
443
Tumor
0.4
218
Normal
0.4
358
Normal
0.4
331
Tumor
0.4
951
Tumor
0.4
636
Normal
0.4
533
Tumor
0.4
745
Tumor
0.4
285
Tumor
0.4
1027
Tumor
0.4
617
Tumor
0.4
635
Tumor
0.4
135
Tumor
0.4
344
Normal
0.4
395
Tumor
0.4
755
Tumor
0.4
955
Tumor
0.4
385
Tumor
0.4
352
Normal
0.4
471
Tumor
0.4
114
Normal
0.4
851
Tumor
0.4
451
Tumor
0.4
865
Tumor
0.4
515
Tumor
0.4
743
Tumor
0.4
141
Tumor
0.4
937
Tumor
0.4
136
Normal
0.4
553
Tumor
0.4
123
Tumor
0.4
545
Tumor
0.4
695
Tumor
0.4
554
Normal
0.4
427
Tumor
0.4
728
Normal
0.4
1025
Tumor
0.3
172
Normal
0.3
191
Tumor
0.3
148
Normal
0.3
413
Tumor
0.3
147
Tumor
0.3
618
Normal
0.3
467
Tumor
0.3
375
Tumor
0.3
187
Tumor
0.3
195
Tumor
0.3
527
Tumor
0.3
465
Tumor
0.3
162
Normal
0.3
436
Normal
0.3
493
Tumor
0.3
171
Tumor
0.3
267
Tumor
0.3
525
Tumor
0.3
866
Normal
0.3
232
Normal
0.3
923
Tumor
0.3
127
Tumor
0.3
952
Normal
0.3
426
Normal
0.3
628
Normal
0.3
738
Normal
0.3
466
Normal
0.3
357
Tumor
0.3
342
Normal
0.3
445
Tumor
0.3
1031
Tumor
0.3
161
Tumor
0.3
112
Tumor
0.3
615
Tumor
0.3
221
Tumor
0.3
314
Normal
0.3
473
Tumor
0.3
983
Tumor
0.2
715
Tumor
0.2
483
Tumor
0.2
142
Normal
0.2
455
Tumor
0.2
672
Normal
0.2
137
Tumor
0.2
214
Normal
0.2
298
Normal
0.2
746
Normal
0.2
641
Tumor
0.2
145
Tumor
0.2
967
Tumor
0.2
878
Normal
0.2
518
Normal
0.2
435
Tumor
0.2
434
Normal
0.2
785
Tumor
0.2
516
Normal
0.2
186
Normal
0.2
723
Tumor
0.2
362
Normal
0.2
394
Normal
0.2
912
Normal
0.2
341
Tumor
0.2
231
Tumor
0.2
664
Normal
0.2
124
Normal
0.2
446
Normal
0.2
647
Tumor
0.2
981
Tumor
0.2
452
Normal
0.2
568
Normal
0.2
376
Normal
0.2
355
Tumor
0.2
128
Normal
0.2
312
Normal
0.2
258
Normal
0.2
925
Tumor
0.2
744
Normal
0.2
778
Normal
0.2
392
Normal
0.2
211
Tumor
0.2
351
Tumor
0.2
616
Normal
0.2
111
Normal
0.2
662
Normal
0.2
132
Normal
0.2
721
Tumor
0.2
396
Normal
0.2
1015
Tumor
0.2
742
Normal
0.2
185
Tumor
0.2
361
Tumor
0.2
1043
Tumor
0.2
494
Normal
0.2
567
Tumor
0.2
414
Normal
0.2
724
Normal
0.2
873
Tumor
0.2
278
Normal
0.2
977
Tumor
0.1
343
Tumor
0.1
524
Normal
0.1
861
Tumor
0.1
517
Tumor
0.1
874
Normal
0.1
468
Normal
0.1
196
Normal
0.1
354
Normal
0.1
474
Normal
0.1
535
Tumor
0.1
423
Tumor
0.1
737
Tumor
0.1
262
Normal
0.1
957
Tumor
0.1
456
Normal
0.1
257
Tumor
0.1
277
Tumor
0.1
313
Tumor
0.1
222
Normal
0.1
223
Tumor
0.1
422
Normal
0.1
564
Normal
0.1
915
Tumor
0.1
534
Normal
0.1
663
Tumor
0.1
1026
Normal
0.1
975
Tumor
0.1
697
Tumor
0.1
188
Normal
0.1
963
Tumor
0.1
272
Normal
0.1
365
Tumor
0.1
862
Normal
0.1
864
Normal
0.1
448
Normal
0.1
487
Tumor
0.1
883
Tumor
0.1
882
Normal
0.1
558
Normal
0.1
1041
Tumor
0.1
386
Normal
0.1
881
Tumor
0.1
433
Tumor
0.1
126
Normal
0.1
817
Tumor
0.1
966
Normal
0.1
388
Normal
0.1
665
Tumor
0.1
1022
Normal
0.1
526
Normal
0.1
477
Tumor
0.1
546
Normal
0.1
492
Normal
0.1
488
Normal
0.1
953
Tumor
0.1
425
Tumor
0.1
297
Tumor
0.0
1028
Normal
0.0
1042
Normal
0.0
573
Tumor
0.0
648
Normal
0.0
538
Normal
0.0
213
Tumor
0.0
217
Tumor
0.0
982
Normal
0.0
1044
Normal
0.0
858
Normal
0.0
356
Normal
0.0
984
Normal
0.0
756
Normal
0.0
368
Normal
0.0
571
Tumor
0.0
857
Tumor
0.0
528
Normal
0.0
464
Normal
0.0
421
Tumor
0.0
642
Normal
0.0
366
Normal
0.0
666
Normal
0.0
741
Tumor
0.0
228
Normal
0.0
867
Tumor
0.0
261
Tumor
0.0
461
Tumor
0.0
146
Normal
0.0
212
Normal
0.0
484
Normal
0.0
432
Normal
0.0
944
Normal
0.0
268
Normal
0.0
1016
Normal
0.0
964
Normal
0.0
686
Normal
0.0
914
Normal
0.0
815
Tumor
0.0
138
Normal
0.0
823
Tumor
0.0
1046
Normal
0.0
271
Tumor
0.0
968
Normal
0.0
1013
Tumor
0.0
1014
Normal
0.0
627
Tumor
0.0
462
Normal
0.0
1045
Tumor
0.0
884
Normal
0.0
714
Normal
0.0
572
Normal
0.0
391
Tumor
0.0
428
Normal
0.0
671
Tumor
0.0
696
Normal
0.0
311
Tumor
-0.1
786
Normal
-0.1
383
Tumor
-0.1
125
Tumor
-0.1
412
Normal
-0.1
698
Normal
-0.1
424
Normal
-0.1
824
Normal
-0.1
1032
Normal
-0.1
956
Normal
-0.1
563
Tumor
-0.1
716
Normal
-0.1
868
Normal
-0.1
447
Tumor
-0.1
363
Tumor
-0.1
478
Normal
-0.1
224
Normal
-0.1
922
Normal
-0.1
463
Tumor
-0.1
813
Tumor
-0.1
513
Tumor
-0.1
472
Normal
-0.1
816
Normal
-0.1
415
Tumor
-0.1
958
Normal
-0.1
514
Normal
-0.1
943
Tumor
-0.1
284
Normal
-0.1
913
Tumor
-0.1
852
Normal
-0.1
283
Tumor
-0.2
536
Normal
-0.2
384
Normal
-0.2
938
Normal
-0.2
911
Tumor
-0.2
328
Normal
-0.2
921
Tumor
-0.2
918
Normal
-0.2
818
Normal
-0.2
192
Normal
-0.2
976
Normal
-0.2
978
Normal
-0.2
713
Tumor
-0.2
917
Tumor
-0.2
364
Normal
-0.2
444
Normal
-0.2
481
Tumor
-0.2
722
Normal
-0.2
574
Normal
-0.2
924
Normal
-0.2
814
Normal
-0.2
926
Normal
-0.2
286
Normal
-0.2
916
Normal
-0.2
482
Normal
-0.3
863
Tumor
-0.3
416
Normal
-0.3
491
Tumor
-0.4
877
Tumor
-0.4
227
Tumor
-0.4
498
Normal
-0.5
954
Normal
-0.5
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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
