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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.
RPL10 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2479.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
10682.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
9964.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
8765.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
7124.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
6991.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
6785.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
6580.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5974.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
5749.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
5645.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5540.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
5397.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
5268.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
5206.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5030.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
4838.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4820.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
4802.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
4780.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
4722.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
4721.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
4658.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4627.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
4621.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
4568.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
4504.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4480.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
4380.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4380.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
4379.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
4363.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4226.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4199.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
4163.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
4156.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
4124.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4120.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4114.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
4079.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
4037.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
4018.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3999.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3960.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
3960.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3932.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3868.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3868.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3827.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3823.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
3819.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3816.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
3785.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3719.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
3709.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
3654.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3653.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
3646.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3619.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3611.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
3607.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3548.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
3533.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
3516.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
3505.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3501.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
3418.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3282.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
3281.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3255.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3245.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
3235.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3231.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3220.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3174.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3173.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3172.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3170.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3136.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
3128.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3117.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
3117.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3097.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
3088.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3087.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
3085.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3059.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
3040.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
3032.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2988.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2960.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2950.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2938.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2913.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2906.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2906.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2875.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2851.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2847.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2827.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2814.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2806.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2788.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2783.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2764.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2748.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2741.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2734.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2727.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2699.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2693.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2691.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2690.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2681.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2680.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2677.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2677.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2672.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2665.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2656.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2648.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2644.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2642.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2641.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2622.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2610.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2609.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2605.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2603.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2562.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2561.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2558.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2558.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2554.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2542.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2534.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2512.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2504.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2503.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2486.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2471.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2463.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
2458.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2444.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2442.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2424.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2419.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2411.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2399.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2393.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2392.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2387.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2368.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2359.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2339.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2334.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2332.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2323.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
2308.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2299.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2293.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2289.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2287.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2285.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2280.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2266.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2258.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2248.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2243.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2243.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2210.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
2208.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2206.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2174.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2167.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2167.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2158.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2155.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2153.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2140.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2135.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2132.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2131.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2125.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2125.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2124.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2121.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2119.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2083.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2076.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2071.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2053.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2048.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2048.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2047.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
2027.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2026.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2022.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2017.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2015.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2003.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2003.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2002.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1998.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1996.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1993.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1985.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1983.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1979.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1975.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1973.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1968.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1952.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1947.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1934.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1921.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1919.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1919.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1909.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1908.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1885.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1884.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1877.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1871.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1863.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1860.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1856.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1853.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1851.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1850.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1845.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1845.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1842.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1836.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1830.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1811.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1806.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1802.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1799.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1790.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1772.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1769.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1766.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1766.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1750.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1738.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1736.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1734.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1725.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1715.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1707.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1701.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1699.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1683.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1678.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1670.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1666.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1641.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1637.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1634.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1624.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1623.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1604.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1603.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1601.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1599.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1596.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1596.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1589.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1588.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1585.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1585.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1581.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1576.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1572.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1571.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1570.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1565.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1564.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1560.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1523.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1520.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1518.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1516.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1510.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1504.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1502.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1499.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1496.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1488.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1483.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1479.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1471.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1471.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1468.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1464.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1462.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1460.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1459.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1445.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1440.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1437.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1430.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1425.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1425.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1419.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1415.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1397.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1394.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1389.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1387.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1381.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1376.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1370.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1364.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1351.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1347.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1334.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1332.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1321.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1316.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1303.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1302.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1301.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1299.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1299.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1288.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1277.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1266.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1265.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1251.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1251.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1237.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1219.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1219.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1207.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1193.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1185.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1182.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1180.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1178.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1172.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1145.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1142.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1123.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1111.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1103.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1094.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1088.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1077.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1077.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1065.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1012.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
990.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
977.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
947.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
946.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
943.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
933.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
922.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
863.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
800.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 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.
RPL10 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
824.8
Number of samples
231
Samples
Sample
Description
pTPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
5653.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
3221.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
2954.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
2550.2
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2411.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
2186.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2000.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
1918.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
1891.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
1864.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
1851.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
1762.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
1727.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
1691.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1667.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1629.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
1585.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
1565.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
1520.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
1487.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
1482.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1459.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
1439.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1375.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
1363.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1279.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
1266.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
1262.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
1242.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
1233.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
1232.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
1218.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
1211.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
1177.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
1160.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1155.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
1145.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
1135.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
1127.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
1127.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1116.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1110.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
1094.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1090.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
1076.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1063.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
1038.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1033.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
1020.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
992.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
989.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
975.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
975.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
975.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
968.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
960.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
945.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
943.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
943.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
942.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
925.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
924.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
920.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
917.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
910.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
907.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
907.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
901.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
890.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
885.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
874.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
872.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
871.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
868.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
860.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
857.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
853.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
846.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
841.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
840.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
839.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
835.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
833.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
830.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
829.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
827.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
824.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
814.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
811.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
809.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
803.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
802.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
798.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
795.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
771.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
769.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
768.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
759.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
758.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
742.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
742.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
740.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
738.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
738.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
738.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
735.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
734.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
725.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
718.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
716.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
701.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
699.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
695.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
690.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
681.9
DO48733
72 years, male, NA, stage:2, alive, 600 days
680.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
677.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
675.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
674.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
672.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
669.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
669.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
668.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
665.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
663.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
658.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
657.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
656.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
653.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
649.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
643.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
643.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
638.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
637.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
636.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
636.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
631.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
630.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
630.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
624.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
620.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
614.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
612.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
608.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
607.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
607.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
604.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
598.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
598.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
597.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
589.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
587.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
582.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
582.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
579.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
570.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
568.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
558.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
558.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
558.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
558.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
548.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
537.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
535.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
533.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
532.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
529.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
525.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
517.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
517.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
514.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
507.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
504.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
493.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
492.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
492.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
488.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
485.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
480.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
479.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
478.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
477.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
477.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
471.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
467.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
466.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
462.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
462.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
460.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
457.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
455.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
450.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
448.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
444.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
442.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
429.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
426.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
423.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
419.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
409.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
400.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
396.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
394.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
390.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
388.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
385.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
383.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
376.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
371.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
363.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
362.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
356.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
355.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
351.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
343.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
342.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
340.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
339.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
331.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
322.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
300.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
300.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
297.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
293.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
289.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
274.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
243.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
240.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
205.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
177.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
165.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
537
Tumor
0.5
367
Tumor
0.4
331
Tumor
0.4
567
Tumor
0.4
661
Tumor
0.3
113
Tumor
0.3
965
Tumor
0.3
172
Normal
0.3
685
Tumor
0.3
545
Tumor
0.3
135
Tumor
0.3
523
Tumor
0.3
467
Tumor
0.3
393
Tumor
0.3
1021
Tumor
0.3
327
Tumor
0.3
223
Tumor
0.3
162
Normal
0.2
395
Tumor
0.2
267
Tumor
0.2
1025
Tumor
0.2
353
Tumor
0.2
554
Normal
0.2
132
Normal
0.2
662
Normal
0.2
413
Tumor
0.2
186
Normal
0.2
558
Normal
0.2
664
Normal
0.2
451
Tumor
0.2
131
Tumor
0.2
573
Tumor
0.2
636
Normal
0.2
136
Normal
0.2
214
Normal
0.2
737
Tumor
0.2
148
Normal
0.2
666
Normal
0.2
188
Normal
0.2
285
Tumor
0.2
466
Normal
0.2
171
Tumor
0.2
187
Tumor
0.2
546
Normal
0.2
671
Tumor
0.2
387
Tumor
0.2
533
Tumor
0.1
358
Normal
0.1
443
Tumor
0.1
743
Tumor
0.1
142
Normal
0.1
452
Normal
0.1
222
Normal
0.1
572
Normal
0.1
815
Tumor
0.1
527
Tumor
0.1
145
Tumor
0.1
128
Normal
0.1
114
Normal
0.1
525
Tumor
0.1
723
Tumor
0.1
146
Normal
0.1
446
Normal
0.1
332
Normal
0.1
1027
Tumor
0.1
957
Tumor
0.1
161
Tumor
0.1
138
Normal
0.1
111
Normal
0.1
937
Tumor
0.1
727
Tumor
0.1
414
Normal
0.1
648
Normal
0.1
745
Tumor
0.1
394
Normal
0.1
778
Normal
0.1
213
Tumor
0.1
195
Tumor
0.1
196
Normal
0.1
376
Normal
0.1
257
Tumor
0.1
468
Normal
0.1
422
Normal
0.1
851
Tumor
0.1
515
Tumor
0.1
518
Normal
0.1
455
Tumor
0.1
553
Tumor
0.1
564
Normal
0.1
534
Normal
0.1
746
Normal
0.1
375
Tumor
0.1
465
Tumor
0.1
232
Normal
0.1
392
Normal
0.1
412
Normal
0.1
342
Normal
0.1
955
Tumor
0.1
724
Normal
0.1
777
Tumor
0.1
672
Normal
0.1
738
Normal
0.1
617
Tumor
0.1
228
Normal
0.1
286
Normal
0.1
481
Tumor
0.1
528
Normal
0.1
473
Tumor
0.1
1026
Normal
0.1
421
Tumor
0.1
967
Tumor
0.1
137
Tumor
0.1
568
Normal
0.1
436
Normal
0.1
713
Tumor
0.1
218
Normal
0.1
272
Normal
0.1
428
Normal
0.1
191
Tumor
0.1
212
Normal
0.1
536
Normal
0.1
968
Normal
0.1
227
Tumor
0.1
217
Tumor
0.1
696
Normal
0.1
124
Normal
0.0
355
Tumor
0.0
538
Normal
0.0
271
Tumor
0.0
698
Normal
0.0
284
Normal
0.0
344
Normal
0.0
663
Tumor
0.0
1016
Normal
0.0
497
Tumor
0.0
463
Tumor
0.0
474
Normal
0.0
618
Normal
0.0
231
Tumor
0.0
755
Tumor
0.0
261
Tumor
0.0
352
Normal
0.0
185
Tumor
0.0
424
Normal
0.0
471
Tumor
0.0
665
Tumor
0.0
221
Tumor
0.0
966
Normal
0.0
464
Normal
0.0
715
Tumor
0.0
396
Normal
0.0
918
Normal
0.0
385
Tumor
0.0
963
Tumor
0.0
642
Normal
0.0
864
Normal
0.0
434
Normal
0.0
516
Normal
0.0
278
Normal
0.0
427
Tumor
0.0
722
Normal
0.0
432
Normal
0.0
357
Tumor
0.0
314
Normal
0.0
258
Normal
0.0
517
Tumor
0.0
526
Normal
0.0
574
Normal
0.0
647
Tumor
0.0
563
Tumor
0.0
742
Normal
0.0
488
Normal
0.0
363
Tumor
0.0
462
Normal
0.0
628
Normal
0.0
756
Normal
0.0
484
Normal
0.0
262
Normal
0.0
388
Normal
0.0
362
Normal
0.0
728
Normal
0.0
126
Normal
0.0
426
Normal
0.0
224
Normal
0.0
1031
Tumor
0.0
312
Normal
0.0
571
Tumor
0.0
298
Normal
0.0
524
Normal
0.0
448
Normal
0.0
785
Tumor
0.0
513
Tumor
0.0
938
Normal
0.0
123
Tumor
0.0
447
Tumor
0.0
494
Normal
0.0
944
Normal
0.0
721
Tumor
0.0
425
Tumor
0.0
431
Tumor
0.0
365
Tumor
0.0
865
Tumor
0.0
147
Tumor
0.0
913
Tumor
0.0
112
Tumor
0.0
922
Normal
0.0
277
Tumor
0.0
817
Tumor
0.0
141
Tumor
0.0
1044
Normal
0.0
858
Normal
0.0
926
Normal
0.0
981
Tumor
0.0
983
Tumor
0.0
297
Tumor
0.0
433
Tumor
0.0
341
Tumor
0.0
924
Normal
0.0
686
Normal
0.0
952
Normal
0.0
814
Normal
0.0
411
Tumor
0.0
356
Normal
0.0
744
Normal
0.0
978
Normal
0.0
1043
Tumor
0.0
535
Tumor
0.0
984
Normal
0.0
351
Tumor
0.0
456
Normal
0.0
514
Normal
0.0
1028
Normal
-0.1
492
Normal
-0.1
976
Normal
-0.1
343
Tumor
-0.1
697
Tumor
-0.1
813
Tumor
-0.1
615
Tumor
-0.1
1032
Normal
-0.1
472
Normal
-0.1
958
Normal
-0.1
923
Tumor
-0.1
1041
Tumor
-0.1
975
Tumor
-0.1
916
Normal
-0.1
1042
Normal
-0.1
956
Normal
-0.1
951
Tumor
-0.1
386
Normal
-0.1
384
Normal
-0.1
823
Tumor
-0.1
493
Tumor
-0.1
716
Normal
-0.1
125
Tumor
-0.1
1015
Tumor
-0.1
964
Normal
-0.1
917
Tumor
-0.1
914
Normal
-0.1
714
Normal
-0.1
313
Tumor
-0.1
786
Normal
-0.1
444
Normal
-0.1
423
Tumor
-0.1
361
Tumor
-0.1
366
Normal
-0.1
445
Tumor
-0.1
925
Tumor
-0.1
127
Tumor
-0.1
368
Normal
-0.1
435
Tumor
-0.1
478
Normal
-0.1
477
Tumor
-0.1
982
Normal
-0.1
1022
Normal
-0.1
635
Tumor
-0.1
873
Tumor
-0.1
616
Normal
-0.1
1014
Normal
-0.1
862
Normal
-0.1
283
Tumor
-0.1
824
Normal
-0.1
953
Tumor
-0.1
482
Normal
-0.1
921
Tumor
-0.1
354
Normal
-0.1
852
Normal
-0.1
1046
Normal
-0.1
878
Normal
-0.1
943
Tumor
-0.1
912
Normal
-0.1
391
Tumor
-0.1
268
Normal
-0.1
491
Tumor
-0.1
211
Tumor
-0.1
867
Tumor
-0.1
311
Tumor
-0.1
881
Tumor
-0.1
866
Normal
-0.2
192
Normal
-0.2
461
Tumor
-0.2
877
Tumor
-0.2
415
Tumor
-0.2
883
Tumor
-0.2
954
Normal
-0.2
364
Normal
-0.2
816
Normal
-0.2
915
Tumor
-0.2
695
Tumor
-0.2
882
Normal
-0.2
328
Normal
-0.2
483
Tumor
-0.2
416
Normal
-0.2
383
Tumor
-0.2
741
Tumor
-0.2
641
Tumor
-0.2
818
Normal
-0.2
498
Normal
-0.2
884
Normal
-0.2
627
Tumor
-0.2
487
Tumor
-0.2
868
Normal
-0.2
861
Tumor
-0.3
977
Tumor
-0.3
1013
Tumor
-0.3
874
Normal
-0.3
857
Tumor
-0.3
911
Tumor
-0.3
863
Tumor
-0.3
1045
Tumor
-0.3
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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
