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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.
RPL30 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 TPM
2448.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
8258.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
8025.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
7225.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
7191.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
7040.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
6970.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
6402.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
6333.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
6123.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
5929.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
5814.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
5779.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
5763.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5621.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
5337.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
5260.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
5242.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
5192.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
5187.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
5115.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
5081.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
5078.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5031.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
5022.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
4966.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4952.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
4879.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
4825.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
4770.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
4595.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
4545.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
4458.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
4439.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
4434.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
4407.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
4393.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
4352.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
4296.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
4276.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
4253.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4191.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
4144.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
4105.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
4087.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
4047.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
3977.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
3971.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3958.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3956.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
3925.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3827.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
3806.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3689.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3683.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3678.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
3655.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
3654.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
3639.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3620.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3563.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3550.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3473.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
3465.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3450.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
3444.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3440.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
3430.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3415.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3409.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
3409.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3401.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
3401.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
3394.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3378.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3356.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3330.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3318.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3305.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3302.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
3302.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
3298.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3231.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3230.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
3228.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3227.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
3209.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3204.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3195.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
3188.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3188.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
3156.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3116.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3116.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
3098.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3085.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
3015.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3004.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2979.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2968.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2966.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2915.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2909.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2907.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2892.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2889.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2888.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2876.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2863.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2831.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
2810.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2798.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
2793.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2781.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2781.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2766.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2762.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2761.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2751.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2744.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2723.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2717.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2695.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2667.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2666.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2662.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2656.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2656.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2653.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2629.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2622.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2610.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2609.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2602.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2601.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2598.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2595.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2585.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2578.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2562.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2549.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2548.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2540.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2527.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2523.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2492.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2489.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2458.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2427.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2410.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2407.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2389.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2369.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2363.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2343.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2341.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2308.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2305.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2303.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2302.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2296.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2287.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2285.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2281.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2274.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2271.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2236.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2230.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2217.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2216.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2205.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2193.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2191.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2183.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2182.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2181.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2175.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2174.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2169.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2166.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2158.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2156.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2150.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2135.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
2107.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2080.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2063.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2056.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2056.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2018.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2015.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2002.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1995.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1973.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1957.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1952.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1942.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1939.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1918.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1916.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1914.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1911.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1902.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1892.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1885.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1885.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1881.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1877.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1873.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1871.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1867.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1851.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1849.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1843.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1830.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1828.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1826.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1824.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1773.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1772.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1754.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1745.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1743.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1742.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1735.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1728.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1728.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1723.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1720.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1719.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1717.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1709.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1706.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1705.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1700.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1695.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1683.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1680.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1676.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1672.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1669.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1661.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1655.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1651.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1649.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1641.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1635.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1634.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1630.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1627.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1624.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1621.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1614.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1610.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1608.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1597.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1572.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1560.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1547.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1533.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1530.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1530.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1528.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1516.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1512.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1508.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1502.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1499.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1467.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1451.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1446.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1438.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1434.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1415.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1407.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1405.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1394.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1384.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1379.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1376.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1364.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1362.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1355.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1339.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1335.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1334.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1327.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1322.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1317.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1314.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1313.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1287.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1286.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1279.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1275.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1273.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1268.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1267.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1253.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1249.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1235.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1231.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1228.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1209.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1209.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1209.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1200.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1198.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1195.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1191.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1189.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1168.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1155.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1149.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1145.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1135.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1130.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1130.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1121.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1107.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1105.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1083.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1074.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1069.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1054.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1049.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1042.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1037.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1035.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1024.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1022.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1005.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
998.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
998.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
987.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
969.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
969.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
965.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
957.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
953.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
919.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
916.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
906.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
906.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
899.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
883.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
879.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
871.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
868.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
862.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
861.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
850.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
849.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
838.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
826.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
816.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
796.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
775.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
675.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
664.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
659.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
593.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 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.
RPL30 is not prognostic 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 TPM
1815.8
Number of samples
231
Samples
Sample
Description
TPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
14502.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
7790.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
6331.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
6243.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
5266.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
5183.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
4956.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
4743.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
4475.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
4457.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
4438.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
4365.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
4365.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
4342.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
3854.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
3643.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
3626.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
3575.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
3343.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
3336.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
3257.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
3249.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
3211.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
3136.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
3087.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
3086.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3005.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2984.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2920.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
2874.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2834.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
2834.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2774.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
2743.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
2737.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
2695.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2684.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
2682.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2651.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2568.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
2546.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
2504.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
2498.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
2482.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
2436.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2398.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
2377.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
2374.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
2373.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
2327.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2289.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
2275.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
2259.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
2240.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
2216.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
2212.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
2196.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
2178.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
2172.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2108.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
2103.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
2090.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
2089.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
2081.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
2074.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
2047.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
2026.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
2017.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
2009.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1995.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
1987.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
1957.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
1945.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
1937.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
1936.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1935.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
1923.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1898.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
1898.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1877.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
1852.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
1841.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
1804.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
1773.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
1760.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1735.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1713.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
1709.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
1701.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1694.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
1657.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1635.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1591.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
1588.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1587.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
1578.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
1555.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1554.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1532.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
1532.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
1532.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
1531.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
1531.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1511.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
1507.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1503.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1495.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
1492.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
1489.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
1488.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
1486.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
1483.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
1471.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1461.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1430.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
1415.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
1414.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1413.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
1410.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
1408.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1405.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
1404.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1399.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
1398.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
1379.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
1376.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
1373.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
1369.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
1359.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1353.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
1344.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
1344.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
1341.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
1330.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1323.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
1317.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1306.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
1302.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1301.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
1276.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
1261.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
1257.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
1250.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
1250.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1249.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1220.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
1219.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
1217.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
1216.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
1205.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1188.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
1185.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
1185.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
1179.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
1170.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
1156.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
1145.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
1133.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1117.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
1085.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
1085.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1076.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
1072.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
1069.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1059.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
1059.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
1052.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1045.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1045.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
1033.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1033.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
1029.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
1028.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1005.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
992.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
977.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
975.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
970.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
963.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
962.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
941.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
938.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
934.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
929.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
923.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
913.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
910.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
907.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
907.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
873.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
871.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
867.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
865.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
856.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
854.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
852.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
846.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
843.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
843.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
841.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
836.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
832.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
828.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
827.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
817.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
807.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
794.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
786.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
776.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
775.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
755.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
701.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
692.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
679.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
676.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
672.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
643.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
639.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
630.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
621.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
617.9
DO23550
69 years, male, NA, stage:1, alive, 990 days
617.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
595.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
550.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
536.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
488.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
486.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
467.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
447.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
350.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
295.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.6
567
Tumor
0.5
965
Tumor
0.5
285
Tumor
0.5
557
Tumor
0.4
983
Tumor
0.4
957
Tumor
0.4
685
Tumor
0.4
1021
Tumor
0.4
523
Tumor
0.4
937
Tumor
0.4
535
Tumor
0.4
1025
Tumor
0.4
865
Tumor
0.3
951
Tumor
0.3
533
Tumor
0.3
131
Tumor
0.3
331
Tumor
0.3
815
Tumor
0.3
851
Tumor
0.3
367
Tumor
0.3
545
Tumor
0.3
497
Tumor
0.2
817
Tumor
0.2
1043
Tumor
0.2
554
Normal
0.2
1027
Tumor
0.2
697
Tumor
0.2
355
Tumor
0.2
327
Tumor
0.2
277
Tumor
0.2
267
Tumor
0.2
387
Tumor
0.2
967
Tumor
0.2
715
Tumor
0.2
923
Tumor
0.2
227
Tumor
0.2
743
Tumor
0.2
1015
Tumor
0.2
921
Tumor
0.2
745
Tumor
0.2
395
Tumor
0.1
1013
Tumor
0.1
525
Tumor
0.1
517
Tumor
0.1
553
Tumor
0.1
981
Tumor
0.1
955
Tumor
0.1
721
Tumor
0.1
257
Tumor
0.1
223
Tumor
0.1
737
Tumor
0.1
393
Tumor
0.1
527
Tumor
0.1
515
Tumor
0.1
952
Normal
0.1
661
Tumor
0.1
823
Tumor
0.1
471
Tumor
0.1
977
Tumor
0.1
925
Tumor
0.1
461
Tumor
0.1
966
Normal
0.1
271
Tumor
0.1
493
Tumor
0.1
975
Tumor
0.1
135
Tumor
0.1
877
Tumor
0.1
755
Tumor
0.1
953
Tumor
0.1
385
Tumor
0.1
518
Normal
0.1
924
Normal
0.1
214
Normal
0.1
473
Tumor
0.1
861
Tumor
0.1
727
Tumor
0.1
483
Tumor
0.0
943
Tumor
0.0
746
Normal
0.0
136
Normal
0.0
353
Tumor
0.0
738
Normal
0.0
443
Tumor
0.0
455
Tumor
0.0
813
Tumor
0.0
873
Tumor
0.0
278
Normal
0.0
922
Normal
0.0
926
Normal
0.0
1026
Normal
0.0
777
Tumor
0.0
477
Tumor
0.0
536
Normal
0.0
728
Normal
0.0
222
Normal
0.0
211
Tumor
0.0
491
Tumor
0.0
492
Normal
0.0
1031
Tumor
0.0
1041
Tumor
0.0
463
Tumor
0.0
1028
Normal
0.0
147
Tumor
0.0
363
Tumor
0.0
915
Tumor
0.0
785
Tumor
0.0
474
Normal
0.0
723
Tumor
0.0
968
Normal
0.0
963
Tumor
0.0
351
Tumor
0.0
145
Tumor
0.0
412
Normal
0.0
375
Tumor
0.0
261
Tumor
0.0
883
Tumor
0.0
778
Normal
0.0
113
Tumor
0.0
452
Normal
0.0
451
Tumor
0.0
881
Tumor
0.0
526
Normal
0.0
217
Tumor
0.0
128
Normal
0.0
635
Tumor
0.0
312
Normal
0.0
137
Tumor
0.0
513
Tumor
-0.1
447
Tumor
-0.1
918
Normal
-0.1
411
Tumor
-0.1
913
Tumor
-0.1
187
Tumor
-0.1
467
Tumor
-0.1
124
Normal
-0.1
392
Normal
-0.1
358
Normal
-0.1
724
Normal
-0.1
878
Normal
-0.1
368
Normal
-0.1
546
Normal
-0.1
283
Tumor
-0.1
422
Normal
-0.1
213
Tumor
-0.1
142
Normal
-0.1
448
Normal
-0.1
916
Normal
-0.1
138
Normal
-0.1
713
Tumor
-0.1
171
Tumor
-0.1
172
Normal
-0.1
695
Tumor
-0.1
218
Normal
-0.1
186
Normal
-0.1
528
Normal
-0.1
221
Tumor
-0.1
914
Normal
-0.1
1014
Normal
-0.1
696
Normal
-0.1
343
Tumor
-0.1
742
Normal
-0.1
867
Tumor
-0.1
534
Normal
-0.1
111
Normal
-0.1
516
Normal
-0.1
332
Normal
-0.1
125
Tumor
-0.1
816
Normal
-0.1
342
Normal
-0.1
426
Normal
-0.1
297
Tumor
-0.1
494
Normal
-0.1
357
Tumor
-0.1
114
Normal
-0.1
524
Normal
-0.1
132
Normal
-0.1
436
Normal
-0.1
196
Normal
-0.1
464
Normal
-0.1
465
Tumor
-0.1
344
Normal
-0.1
313
Tumor
-0.1
744
Normal
-0.1
232
Normal
-0.1
538
Normal
-0.1
487
Tumor
-0.1
573
Tumor
-0.1
112
Tumor
-0.1
195
Tumor
-0.1
185
Tumor
-0.1
161
Tumor
-0.1
484
Normal
-0.1
481
Tumor
-0.1
366
Normal
-0.1
258
Normal
-0.1
391
Tumor
-0.1
365
Tumor
-0.1
663
Tumor
-0.1
425
Tumor
-0.1
514
Normal
-0.1
714
Normal
-0.1
286
Normal
-0.2
212
Normal
-0.2
852
Normal
-0.2
228
Normal
-0.2
148
Normal
-0.2
123
Tumor
-0.2
686
Normal
-0.2
361
Tumor
-0.2
824
Normal
-0.2
956
Normal
-0.2
162
Normal
-0.2
445
Tumor
-0.2
434
Normal
-0.2
917
Tumor
-0.2
857
Tumor
-0.2
413
Tumor
-0.2
433
Tumor
-0.2
298
Normal
-0.2
671
Tumor
-0.2
866
Normal
-0.2
466
Normal
-0.2
1016
Normal
-0.2
272
Normal
-0.2
864
Normal
-0.2
424
Normal
-0.2
191
Tumor
-0.2
874
Normal
-0.2
862
Normal
-0.2
386
Normal
-0.2
911
Tumor
-0.2
938
Normal
-0.2
141
Tumor
-0.2
188
Normal
-0.2
488
Normal
-0.2
262
Normal
-0.2
421
Tumor
-0.2
414
Normal
-0.2
394
Normal
-0.2
311
Tumor
-0.2
314
Normal
-0.2
231
Tumor
-0.2
647
Tumor
-0.2
423
Tumor
-0.2
958
Normal
-0.2
982
Normal
-0.2
415
Tumor
-0.2
431
Tumor
-0.2
1032
Normal
-0.2
428
Normal
-0.2
376
Normal
-0.2
636
Normal
-0.2
356
Normal
-0.2
446
Normal
-0.2
388
Normal
-0.2
456
Normal
-0.2
427
Tumor
-0.2
571
Tumor
-0.2
1022
Normal
-0.2
362
Normal
-0.2
716
Normal
-0.2
268
Normal
-0.3
574
Normal
-0.3
284
Normal
-0.3
564
Normal
-0.3
722
Normal
-0.3
568
Normal
-0.3
462
Normal
-0.3
192
Normal
-0.3
814
Normal
-0.3
472
Normal
-0.3
396
Normal
-0.3
328
Normal
-0.3
126
Normal
-0.3
146
Normal
-0.3
352
Normal
-0.3
224
Normal
-0.3
341
Tumor
-0.3
818
Normal
-0.3
498
Normal
-0.3
984
Normal
-0.3
435
Tumor
-0.3
354
Normal
-0.3
698
Normal
-0.3
756
Normal
-0.3
662
Normal
-0.3
364
Normal
-0.3
572
Normal
-0.3
786
Normal
-0.3
558
Normal
-0.3
468
Normal
-0.3
944
Normal
-0.4
432
Normal
-0.4
628
Normal
-0.4
617
Tumor
-0.4
416
Normal
-0.4
1044
Normal
-0.4
858
Normal
-0.4
642
Normal
-0.4
618
Normal
-0.4
1045
Tumor
-0.4
741
Tumor
-0.4
665
Tumor
-0.4
648
Normal
-0.4
664
Normal
-0.4
563
Tumor
-0.4
383
Tumor
-0.4
964
Normal
-0.4
976
Normal
-0.4
863
Tumor
-0.4
1046
Normal
-0.4
127
Tumor
-0.5
616
Normal
-0.5
482
Normal
-0.5
615
Tumor
-0.5
384
Normal
-0.5
868
Normal
-0.5
954
Normal
-0.5
912
Normal
-0.5
1042
Normal
-0.5
672
Normal
-0.6
627
Tumor
-0.6
882
Normal
-0.6
444
Normal
-0.6
978
Normal
-0.7
478
Normal
-0.7
884
Normal
-0.7
666
Normal
-0.7
641
Tumor
-0.7
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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
