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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 pTPM
2913.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
10899.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
9933.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
8991.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
8768.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
8700.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
8686.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
8426.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
8030.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
7787.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
7521.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
7309.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
7054.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
7048.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
6914.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
6859.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
6374.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
6310.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
6218.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
6205.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
6171.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
6117.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
6105.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
6104.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
6022.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
5851.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
5786.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
5756.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
5679.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
5673.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
5652.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
5626.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
5482.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
5411.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
5333.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
5245.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
5210.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
5188.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
5111.4
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
5075.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
5071.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
4969.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
4956.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4909.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
4862.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
4830.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
4791.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
4764.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
4633.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
4560.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
4557.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
4540.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
4466.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
4461.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
4439.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
4420.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
4403.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
4386.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
4360.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4322.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4230.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
4205.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
4131.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
4131.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
4124.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4112.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
4112.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
4024.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
4024.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
3999.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3997.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3984.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
3980.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3973.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
3959.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3958.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
3956.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3938.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3937.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3913.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3903.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3891.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3855.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3846.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
3841.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
3818.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3766.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3764.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
3750.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3743.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
3742.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
3738.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3732.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3724.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
3675.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
3661.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
3658.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
3625.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3617.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
3584.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
3520.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
3520.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3492.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3486.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3450.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
3406.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3379.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
3365.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3357.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
3357.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3349.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3344.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
3302.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
3299.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
3294.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
3293.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3282.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
3271.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
3271.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
3265.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3258.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3242.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
3234.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
3231.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3226.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
3155.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3152.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
3133.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
3126.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
3116.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
3110.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3105.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3100.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3089.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
3088.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3081.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3071.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
3070.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
3054.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3006.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2987.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2987.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2977.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2970.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2964.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2963.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2913.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2909.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2897.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2860.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2850.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2821.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2799.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2788.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2769.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2754.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2740.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2719.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2717.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2714.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2712.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2702.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2684.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2672.5
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2665.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2649.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2642.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2642.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2640.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2617.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2614.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2613.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2601.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2582.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2581.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2544.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2536.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2536.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2534.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2513.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2501.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
2480.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2478.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2466.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2431.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2420.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2411.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2393.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2377.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2376.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2370.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2369.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
2361.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2355.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2344.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2314.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2303.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2289.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2285.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2274.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2253.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2249.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2247.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2231.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2230.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2218.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2196.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2190.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2187.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2182.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2179.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2177.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
2174.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2173.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
2169.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2159.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2131.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2110.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2110.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2108.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2102.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2095.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2071.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2063.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
2056.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2042.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
2038.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2027.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2005.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2003.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1996.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1994.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1994.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1985.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1984.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1981.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1970.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1962.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1961.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1944.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1943.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1939.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1938.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1938.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1935.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1930.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1922.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1918.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1902.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1899.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1891.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1884.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1882.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1870.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1855.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1854.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1842.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1824.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1805.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1805.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1781.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1778.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1778.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1776.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1772.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1762.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1754.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1714.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1706.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1702.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1698.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1696.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1681.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1656.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1644.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1636.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1636.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1635.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1612.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1611.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1597.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1575.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1569.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1568.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1567.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1557.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1550.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1549.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1548.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1520.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1511.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1506.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1503.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1496.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1488.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1486.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1482.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1480.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1474.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1446.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1443.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1432.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1422.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1422.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1420.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1414.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1413.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1398.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1390.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1386.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1369.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1357.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1347.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1338.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1323.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1320.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1318.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1305.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1296.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1276.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1259.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1247.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1239.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1225.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1211.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1203.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1197.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1186.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1186.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1172.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1169.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1164.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1157.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1154.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1149.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1149.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1138.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1134.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1126.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1111.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1084.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1071.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1037.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1030.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1029.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1025.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
992.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
989.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
979.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
975.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
975.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
974.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
965.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
965.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
949.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
947.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
939.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
868.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
796.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
784.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
769.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
713.5
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 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
3028.7
Number of samples
231
Samples
Sample
Description
pTPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
19526.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
11560.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
10043.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
8983.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
8612.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
8246.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
7841.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
7388.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
7348.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
7319.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
7265.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
6917.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
6862.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
6565.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
6416.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
6230.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
6043.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
5992.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
5932.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
5930.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
5864.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
5683.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
5437.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
5337.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
4909.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
4877.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
4851.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
4830.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
4724.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
4677.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
4620.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
4603.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
4579.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
4446.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
4403.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
4368.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
4363.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
4349.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
4326.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
4254.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
4240.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
4212.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
4176.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
4144.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
4143.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
4137.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
4117.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
4068.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
4040.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
3993.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
3973.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
3889.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
3832.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3828.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
3746.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
3692.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3594.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
3587.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
3580.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
3545.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3513.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
3494.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
3450.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
3446.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3443.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3435.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
3432.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
3375.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
3373.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
3362.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
3362.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
3309.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
3287.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
3230.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
3227.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
3192.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
3186.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
3181.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
3162.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
3159.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
3156.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
3144.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
3129.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
3097.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
3089.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
3085.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
3081.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
3052.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
2943.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2893.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
2873.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
2871.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
2869.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2841.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
2836.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
2811.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
2810.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
2806.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
2784.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
2745.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2743.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2728.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2712.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
2693.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2680.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2647.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
2585.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2571.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2560.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
2557.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
2552.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
2545.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2534.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
2498.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2476.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
2475.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
2457.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2434.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2415.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2415.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
2410.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
2406.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
2376.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
2367.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
2354.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2340.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
2330.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2313.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
2293.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
2287.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
2287.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
2279.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
2276.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
2271.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
2268.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
2263.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2260.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
2252.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
2242.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
2233.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2214.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2205.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
2196.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
2172.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
2167.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
2158.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
2147.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
2136.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
2120.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2111.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
2082.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
2071.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
2053.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
2052.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2051.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
2047.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
2039.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
2033.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
2028.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2024.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
2021.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
1947.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1916.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1893.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
1840.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
1800.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
1797.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
1790.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
1775.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
1775.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
1764.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1747.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
1743.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1742.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
1688.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1678.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
1658.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1654.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
1652.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1643.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1630.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1625.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1623.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1620.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1611.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
1610.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
1596.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
1574.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
1570.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1554.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1551.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
1512.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
1483.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1476.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1457.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1432.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1419.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
1407.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
1396.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1395.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
1382.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
1376.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1357.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
1333.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
1304.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
1299.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1293.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
1284.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1271.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
1265.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1245.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1239.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1178.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1169.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
1162.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1127.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1098.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
1097.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
1038.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
1038.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
986.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
974.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
962.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
905.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
879.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
833.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
815.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
766.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
664.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
568.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
496.9
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
