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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.
RPS19 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
2721.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
14300.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
11822.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
11420.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
11417.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
10628.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
10048.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
9741.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
9164.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
8875.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
8053.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
7986.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
7910.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
7714.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
6915.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
6868.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
6866.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
6736.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
6604.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
6584.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
6479.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
6471.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
6431.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
6367.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
6319.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
6089.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
6014.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
5974.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
5893.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
5879.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
5781.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
5706.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
5531.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
5525.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
5367.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
5205.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
5128.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
4990.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4888.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
4778.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
4769.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4756.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
4727.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4653.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
4615.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
4598.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
4550.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
4472.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
4471.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
4441.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4342.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
4327.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4323.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
4262.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
4253.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
4227.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4213.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
4181.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
4126.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
4106.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
4077.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
3990.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3948.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3861.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
3817.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3813.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
3795.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3784.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
3767.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3763.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
3735.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3709.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
3661.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3647.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3619.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
3611.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3546.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3516.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
3493.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3492.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3449.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3426.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
3388.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3378.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3364.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3290.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
3195.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3110.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
3096.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3093.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3084.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3081.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3079.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
3012.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3003.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2997.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2975.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2938.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2930.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2925.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2921.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2912.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2908.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2906.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2890.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2873.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2865.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2816.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2805.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2796.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2790.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2789.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2771.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2756.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2744.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2737.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2728.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2724.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2719.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2718.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2717.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2686.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2667.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2660.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2659.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2652.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2637.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2616.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2609.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2602.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2580.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2556.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2541.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2536.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2508.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2500.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2490.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2482.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2478.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2467.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2444.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2442.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2437.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
2417.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2402.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2384.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2373.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2358.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2356.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2353.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2351.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2338.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2335.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2334.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2333.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2325.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2306.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2298.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2296.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2294.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2289.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2279.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2275.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2266.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2258.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2251.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2246.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2243.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2232.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2230.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
2227.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2224.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2218.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2204.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2191.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2176.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2166.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2162.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2154.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2151.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2144.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2142.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2140.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2136.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2134.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2128.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2124.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2120.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2118.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2112.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
2103.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
2091.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2082.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2072.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2062.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2024.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2023.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1999.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1989.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1984.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1979.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1973.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1971.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1966.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1965.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1962.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1951.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1915.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1910.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1909.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1894.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1886.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1873.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1853.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1845.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1842.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1840.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1825.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1812.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1810.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1805.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1803.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1795.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1791.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1785.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1784.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1779.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1778.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1771.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1769.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1758.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1757.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1739.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1733.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1732.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1731.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1728.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1722.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1722.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1710.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1709.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1708.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1706.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1697.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1688.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1681.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1676.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1674.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1646.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1644.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1636.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1629.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1626.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1610.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1606.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1604.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1601.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1596.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1589.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1586.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1574.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1566.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1566.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1563.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1556.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1542.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1540.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1537.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1521.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1519.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1516.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1511.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1509.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1509.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1502.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1500.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1498.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1484.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1482.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1466.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1459.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1458.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1433.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1425.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1423.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1414.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1410.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1404.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1402.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1402.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1384.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1381.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1380.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1372.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1365.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1350.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1345.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1343.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1342.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1334.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1327.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1324.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1316.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1314.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1301.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1301.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1293.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1286.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1286.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1282.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1273.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1251.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1239.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1236.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1233.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1228.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1228.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1226.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1223.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1217.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1213.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1209.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1192.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1178.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1177.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1172.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1166.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1143.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1132.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1132.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1121.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1107.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1100.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1098.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1078.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1075.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1069.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1068.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1066.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1049.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1045.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1024.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1012.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1009.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1007.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
991.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
989.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
987.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
964.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
961.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
956.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
954.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
952.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
931.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
911.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
894.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
891.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
881.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
818.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
764.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
761.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS19 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1265.7
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
6043.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
5199.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
4357.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
4081.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3850.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3507.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
3458.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
3335.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3154.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
3122.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
2949.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
2947.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
2876.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2839.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2833.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
2789.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
2785.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
2770.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
2631.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2613.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
2590.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
2522.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
2474.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
2461.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
2453.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
2397.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
2372.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
2311.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2263.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
2253.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
2237.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
2188.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2096.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
2053.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
2049.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
1976.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1910.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
1895.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
1873.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1848.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
1829.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
1816.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
1782.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
1764.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
1714.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
1674.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
1671.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1650.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
1645.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1628.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1619.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1618.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
1603.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
1598.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
1555.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1544.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1543.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
1541.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
1537.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
1516.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
1506.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
1502.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
1497.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
1479.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1477.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
1455.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
1434.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
1433.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1400.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1359.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
1336.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
1333.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
1331.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1328.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1311.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1310.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
1310.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
1305.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1304.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
1290.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
1268.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1265.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
1264.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1259.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
1255.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
1235.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1235.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1220.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1220.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
1204.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
1192.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1185.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
1184.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
1167.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
1166.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
1155.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
1137.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1136.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1125.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
1121.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1119.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
1119.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
1099.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1090.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
1086.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
1081.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
1066.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
1064.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
1057.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
1052.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
1049.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
1047.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
1034.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
1025.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
1021.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
1013.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
1007.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
999.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
995.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
993.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
991.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
986.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
983.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
957.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
955.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
954.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
954.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
950.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
933.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
927.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
927.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
881.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
880.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
868.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
858.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
856.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
847.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
847.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
843.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
837.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
832.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
815.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
810.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
806.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
797.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
791.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
790.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
789.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
783.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
774.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
767.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
765.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
751.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
747.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
745.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
745.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
745.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
735.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
728.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
724.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
723.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
721.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
721.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
713.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
711.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
710.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
709.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
708.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
701.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
700.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
697.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
697.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
689.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
689.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
687.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
687.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
676.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
676.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
674.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
674.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
668.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
663.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
662.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
644.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
639.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
634.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
629.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
625.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
625.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
624.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
619.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
614.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
612.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
610.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
609.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
604.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
586.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
586.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
577.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
572.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
564.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
553.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
549.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
548.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
528.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
525.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
524.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
521.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
518.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
516.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
515.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
514.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
504.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
501.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
473.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
466.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
463.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
451.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
449.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
446.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
444.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
435.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
432.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
424.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
419.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
407.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
373.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
350.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
318.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
307.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
305.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.6
557
Tumor
0.5
327
Tumor
0.5
1021
Tumor
0.4
851
Tumor
0.4
1014
Normal
0.4
285
Tumor
0.4
978
Normal
0.4
545
Tumor
0.4
514
Normal
0.4
481
Tumor
0.4
393
Tumor
0.3
113
Tumor
0.3
367
Tumor
0.3
1025
Tumor
0.3
965
Tumor
0.3
523
Tumor
0.3
387
Tumor
0.3
984
Normal
0.3
527
Tumor
0.3
191
Tumor
0.3
533
Tumor
0.3
353
Tumor
0.3
497
Tumor
0.3
528
Normal
0.3
721
Tumor
0.3
937
Tumor
0.3
395
Tumor
0.3
385
Tumor
0.3
524
Normal
0.3
727
Tumor
0.3
864
Normal
0.3
685
Tumor
0.3
912
Normal
0.3
1027
Tumor
0.3
478
Normal
0.3
488
Normal
0.3
944
Normal
0.3
926
Normal
0.3
131
Tumor
0.3
467
Tumor
0.3
723
Tumor
0.3
356
Normal
0.2
824
Normal
0.2
636
Normal
0.2
964
Normal
0.2
195
Tumor
0.2
567
Tumor
0.2
518
Normal
0.2
558
Normal
0.2
982
Normal
0.2
554
Normal
0.2
981
Tumor
0.2
526
Normal
0.2
534
Normal
0.2
852
Normal
0.2
223
Tumor
0.2
661
Tumor
0.2
412
Normal
0.2
756
Normal
0.2
955
Tumor
0.2
983
Tumor
0.2
858
Normal
0.2
777
Tumor
0.2
922
Normal
0.2
482
Normal
0.2
865
Tumor
0.2
517
Tumor
0.2
472
Normal
0.2
968
Normal
0.2
413
Tumor
0.2
267
Tumor
0.2
546
Normal
0.2
135
Tumor
0.2
462
Normal
0.2
573
Tumor
0.2
1016
Normal
0.2
778
Normal
0.2
136
Normal
0.2
331
Tumor
0.2
572
Normal
0.2
866
Normal
0.2
494
Normal
0.2
568
Normal
0.2
218
Normal
0.2
1044
Normal
0.2
525
Tumor
0.2
918
Normal
0.2
1031
Tumor
0.2
484
Normal
0.2
957
Tumor
0.2
815
Tumor
0.2
728
Normal
0.2
966
Normal
0.2
212
Normal
0.2
917
Tumor
0.2
516
Normal
0.2
515
Tumor
0.2
448
Normal
0.2
172
Normal
0.2
553
Tumor
0.2
873
Tumor
0.2
355
Tumor
0.2
745
Tumor
0.2
923
Tumor
0.2
443
Tumor
0.2
785
Tumor
0.2
376
Normal
0.2
222
Normal
0.2
332
Normal
0.2
513
Tumor
0.1
958
Normal
0.1
538
Normal
0.1
352
Normal
0.1
1026
Normal
0.1
368
Normal
0.1
286
Normal
0.1
938
Normal
0.1
493
Tumor
0.1
564
Normal
0.1
715
Tumor
0.1
967
Tumor
0.1
231
Tumor
0.1
862
Normal
0.1
392
Normal
0.1
214
Normal
0.1
617
Tumor
0.1
818
Normal
0.1
951
Tumor
0.1
1042
Normal
0.1
952
Normal
0.1
415
Tumor
0.1
696
Normal
0.1
363
Tumor
0.1
724
Normal
0.1
411
Tumor
0.1
466
Normal
0.1
196
Normal
0.1
314
Normal
0.1
1043
Tumor
0.1
916
Normal
0.1
232
Normal
0.1
416
Normal
0.1
358
Normal
0.1
882
Normal
0.1
474
Normal
0.1
1046
Normal
0.1
162
Normal
0.1
436
Normal
0.1
284
Normal
0.1
1022
Normal
0.1
221
Tumor
0.1
145
Tumor
0.1
364
Normal
0.1
227
Tumor
0.1
786
Normal
0.1
473
Tumor
0.1
698
Normal
0.1
738
Normal
0.1
817
Tumor
0.1
924
Normal
0.1
857
Tumor
0.1
394
Normal
0.1
228
Normal
0.1
943
Tumor
0.1
328
Normal
0.1
128
Normal
0.1
664
Normal
0.1
884
Normal
0.1
648
Normal
0.1
536
Normal
0.1
187
Tumor
0.1
142
Normal
0.1
124
Normal
0.1
861
Tumor
0.1
662
Normal
0.1
1015
Tumor
0.1
211
Tumor
0.1
963
Tumor
0.1
492
Normal
0.1
396
Normal
0.1
414
Normal
0.1
148
Normal
0.1
686
Normal
0.1
954
Normal
0.1
186
Normal
0.1
298
Normal
0.1
535
Tumor
0.1
816
Normal
0.1
388
Normal
0.1
746
Normal
0.1
672
Normal
0.1
114
Normal
0.1
428
Normal
0.1
262
Normal
0.1
471
Tumor
0.1
464
Normal
0.1
697
Tumor
0.1
431
Tumor
0.1
213
Tumor
0.1
976
Normal
0.1
258
Normal
0.1
391
Tumor
0.1
451
Tumor
0.1
755
Tumor
0.1
272
Normal
0.1
446
Normal
0.1
344
Normal
0.1
953
Tumor
0.0
1028
Normal
0.0
224
Normal
0.0
362
Normal
0.0
112
Tumor
0.0
257
Tumor
0.0
915
Tumor
0.0
424
Normal
0.0
217
Tumor
0.0
868
Normal
0.0
434
Normal
0.0
1032
Normal
0.0
616
Normal
0.0
483
Tumor
0.0
426
Normal
0.0
714
Normal
0.0
878
Normal
0.0
342
Normal
0.0
628
Normal
0.0
956
Normal
0.0
422
Normal
0.0
743
Tumor
0.0
463
Tumor
0.0
384
Normal
0.0
716
Normal
0.0
111
Normal
0.0
312
Normal
0.0
823
Tumor
0.0
975
Tumor
0.0
365
Tumor
0.0
563
Tumor
0.0
354
Normal
0.0
447
Tumor
0.0
427
Tumor
0.0
487
Tumor
0.0
921
Tumor
0.0
913
Tumor
0.0
925
Tumor
0.0
261
Tumor
0.0
647
Tumor
0.0
375
Tumor
0.0
132
Normal
0.0
571
Tumor
0.0
737
Tumor
0.0
351
Tumor
0.0
432
Normal
0.0
695
Tumor
0.0
874
Normal
0.0
366
Normal
0.0
268
Normal
0.0
742
Normal
0.0
138
Normal
0.0
147
Tumor
0.0
665
Tumor
0.0
867
Tumor
0.0
722
Normal
0.0
455
Tumor
0.0
618
Normal
0.0
188
Normal
0.0
574
Normal
0.0
123
Tumor
0.0
445
Tumor
0.0
137
Tumor
0.0
171
Tumor
0.0
386
Normal
0.0
126
Normal
0.0
863
Tumor
0.0
127
Tumor
0.0
456
Normal
0.0
468
Normal
0.0
435
Tumor
0.0
271
Tumor
0.0
498
Normal
0.0
615
Tumor
0.0
425
Tumor
0.0
666
Normal
0.0
1041
Tumor
0.0
713
Tumor
0.0
452
Normal
0.0
185
Tumor
-0.1
461
Tumor
-0.1
1013
Tumor
-0.1
278
Normal
-0.1
361
Tumor
-0.1
977
Tumor
-0.1
814
Normal
-0.1
465
Tumor
-0.1
161
Tumor
-0.1
635
Tumor
-0.1
283
Tumor
-0.1
477
Tumor
-0.1
146
Normal
-0.1
297
Tumor
-0.1
433
Tumor
-0.1
421
Tumor
-0.1
883
Tumor
-0.1
881
Tumor
-0.1
423
Tumor
-0.1
141
Tumor
-0.1
663
Tumor
-0.1
192
Normal
-0.1
341
Tumor
-0.1
444
Normal
-0.1
357
Tumor
-0.1
277
Tumor
-0.1
311
Tumor
-0.1
343
Tumor
-0.1
642
Normal
-0.1
1045
Tumor
-0.2
671
Tumor
-0.2
744
Normal
-0.2
914
Normal
-0.2
313
Tumor
-0.2
125
Tumor
-0.2
911
Tumor
-0.2
641
Tumor
-0.2
813
Tumor
-0.2
627
Tumor
-0.2
383
Tumor
-0.2
491
Tumor
-0.3
877
Tumor
-0.4
741
Tumor
-0.4
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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.