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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.
EEF1A1 is potential prognostic, high expression is unfavorable 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0000026
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.
28%
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.
55%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2976.1
Number of samples
362
Samples
Sample
Description
TPM
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
18347.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
9685.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
9235.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
8804.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
8513.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
8066.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
7892.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
7519.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
7442.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
7333.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
6957.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
6850.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
6218.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
6135.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
6031.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
5996.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
5969.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
5868.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
5855.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
5805.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
5709.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
5650.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
5371.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
5335.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
5318.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
5202.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
5173.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
5114.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
5006.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
4996.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4992.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4869.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
4820.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4812.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
4809.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
4806.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4775.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
4769.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
4768.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
4763.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
4757.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
4701.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
4692.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4657.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
4644.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
4609.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
4531.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
4491.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4469.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4461.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
4413.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
4411.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
4402.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4376.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
4328.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
4224.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
4209.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
4195.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
4195.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4189.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
4168.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
4162.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
4124.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4120.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
4116.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
4096.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4087.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
4059.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
4058.5
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
4035.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4011.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
4009.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3979.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3948.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3946.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3939.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3935.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3913.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3894.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
3891.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3887.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3886.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
3871.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
3853.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
3839.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3837.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3829.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
3808.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3753.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
3752.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3720.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3720.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3681.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
3645.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3618.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3602.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
3582.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3569.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3566.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
3523.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
3512.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
3481.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
3434.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3415.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
3390.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3371.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
3366.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
3328.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
3323.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
3321.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3259.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
3254.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
3241.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
3227.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
3220.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
3204.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
3203.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
3202.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3195.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3193.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3189.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3188.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
3176.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
3153.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3150.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3147.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
3146.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
3136.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
3109.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
3098.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
3093.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3093.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
3088.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3064.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
3058.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3057.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
3055.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
3045.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
3042.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3026.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2970.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2969.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2949.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2940.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2927.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2916.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2912.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2911.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2910.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2894.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2884.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2884.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2860.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2848.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2838.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2832.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
2831.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2817.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2813.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2812.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2801.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2801.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2796.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2794.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2788.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
2785.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
2751.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2751.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2749.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2719.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2717.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2714.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2704.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2695.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2691.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2683.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2679.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2671.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2671.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2653.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2649.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2643.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2632.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2623.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2615.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2586.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2574.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2556.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
2545.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2542.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2535.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2531.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2529.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2524.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2507.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2485.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2474.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2469.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2445.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2438.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2411.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
2405.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
2393.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2385.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2379.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2377.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2363.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
2355.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2349.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2340.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2336.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2331.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2320.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2313.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2288.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
2285.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2285.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
2284.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
2283.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2283.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2281.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2256.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2246.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2239.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2237.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2232.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2225.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2222.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2221.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2212.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2206.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2191.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2184.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2177.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2168.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2142.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2135.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2135.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2133.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2125.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2122.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2114.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2107.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2100.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
2083.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2077.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2077.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2059.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2055.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2054.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2053.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2046.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2043.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2038.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
2028.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2009.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2005.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1997.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1984.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1981.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1972.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1963.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1961.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1955.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1948.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1946.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1943.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1937.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1936.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1933.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1929.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1918.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1902.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1901.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1898.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1880.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1861.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1860.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1855.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1852.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1847.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1832.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1823.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1821.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1815.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1812.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1805.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1802.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1799.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1793.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1785.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1783.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1775.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1769.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1750.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1742.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1735.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1731.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1728.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1718.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1704.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1676.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1674.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1667.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1662.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1658.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1652.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1649.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1626.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1619.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1616.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1608.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1606.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1596.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1588.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1583.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1574.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1571.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1564.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1559.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1549.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1548.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1544.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1470.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1444.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1417.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1414.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1398.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1365.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1346.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1337.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1335.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1328.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1301.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1286.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1272.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1261.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1260.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1258.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1171.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1162.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1150.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1146.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1143.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1131.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1130.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1081.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1078.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1048.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1013.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
960.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
937.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
926.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
917.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
894.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
883.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
803.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
783.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
705.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
655.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
555.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 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.
EEF1A1 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.014
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.
56%
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.
67%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1944.7
Number of samples
231
Samples
Sample
Description
TPM
DO23515
71 years, male, NA, stage:2, alive, 1230 days
6291.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
6256.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
5604.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
5512.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
5070.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
4928.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
4824.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
4754.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
4657.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
4498.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
4351.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
4227.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
4160.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
3680.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
3638.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
3607.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
3602.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
3599.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
3572.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3489.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
3460.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
3407.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
3339.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
3290.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
3285.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
3183.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
3175.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
3170.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3166.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
3161.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
3151.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
3151.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
3135.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
3132.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3127.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
3093.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
3081.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
2959.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
2927.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
2907.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
2896.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2884.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
2881.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
2858.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
2842.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
2831.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
2812.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2765.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2763.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
2718.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
2709.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
2696.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
2662.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
2661.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
2636.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2607.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
2605.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2599.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2569.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
2553.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
2544.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
2517.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
2515.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2514.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
2451.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
2429.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2428.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
2420.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
2398.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2397.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2388.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
2372.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
2334.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
2263.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
2254.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
2237.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
2236.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
2235.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
2218.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2213.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
2212.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2210.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
2203.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2191.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2133.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
2132.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2131.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
2129.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
2113.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
2077.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
2030.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
2008.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1991.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
1977.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1960.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
1953.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
1952.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
1947.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
1928.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
1925.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
1917.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
1910.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
1905.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
1898.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
1895.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
1869.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
1849.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1827.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
1810.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
1803.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
1796.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
1795.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
1781.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1766.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
1744.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
1738.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
1727.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
1723.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
1723.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1700.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1675.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
1665.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
1650.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
1631.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1627.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
1623.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1621.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1611.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
1598.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
1598.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
1576.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1574.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1567.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
1561.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
1552.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1546.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1530.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1525.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
1525.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
1478.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
1476.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
1464.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
1453.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
1451.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1426.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1421.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1415.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
1398.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
1390.2
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1385.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
1379.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1374.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1374.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
1361.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
1356.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
1355.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
1332.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1330.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1315.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1313.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1300.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
1261.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
1238.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1236.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
1221.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1207.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1204.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1198.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1185.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
1161.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1156.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
1152.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
1124.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
1118.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1117.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1084.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1067.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1056.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
1055.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
1051.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1013.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
1002.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
975.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
969.0
DO23541
65 years, male, NA, stage:2, alive, 930 days
935.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
933.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
922.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
911.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
906.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
891.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
889.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
875.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
852.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
852.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
839.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
834.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
826.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
823.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
791.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
789.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
782.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
763.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
748.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
730.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
719.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
717.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
696.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
687.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
658.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
653.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
650.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
647.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
644.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
634.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
624.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
588.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
577.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
555.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
543.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
540.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
337.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
311.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
298.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
284.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
266.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
250.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
234.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
233.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
143.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
97.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
91.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
815
Tumor
0.4
567
Tumor
0.3
353
Tumor
0.3
745
Tumor
0.3
663
Tumor
0.3
261
Tumor
0.2
573
Tumor
0.2
387
Tumor
0.2
527
Tumor
0.2
455
Tumor
0.2
571
Tumor
0.2
128
Normal
0.2
137
Tumor
0.2
395
Tumor
0.2
367
Tumor
0.2
661
Tumor
0.2
743
Tumor
0.1
125
Tumor
0.1
445
Tumor
0.1
443
Tumor
0.1
537
Tumor
0.1
1021
Tumor
0.1
465
Tumor
0.1
436
Normal
0.1
1025
Tumor
0.1
223
Tumor
0.1
267
Tumor
0.1
447
Tumor
0.1
285
Tumor
0.1
697
Tumor
0.1
435
Tumor
0.1
428
Normal
0.1
298
Normal
0.1
357
Tumor
0.1
331
Tumor
0.1
778
Normal
0.1
713
Tumor
0.1
724
Normal
0.1
111
Normal
0.1
431
Tumor
0.1
196
Normal
0.1
738
Normal
0.1
1026
Normal
0.1
497
Tumor
0.1
463
Tumor
0.0
351
Tumor
0.0
824
Normal
0.0
615
Tumor
0.0
222
Normal
0.0
171
Tumor
0.0
742
Normal
0.0
135
Tumor
0.0
127
Tumor
0.0
147
Tumor
0.0
228
Normal
0.0
414
Normal
0.0
983
Tumor
0.0
786
Normal
0.0
421
Tumor
0.0
272
Normal
0.0
518
Normal
0.0
277
Tumor
0.0
746
Normal
0.0
141
Tumor
0.0
286
Normal
0.0
411
Tumor
0.0
424
Normal
0.0
311
Tumor
0.0
145
Tumor
0.0
466
Normal
0.0
227
Tumor
0.0
482
Normal
0.0
136
Normal
0.0
528
Normal
0.0
413
Tumor
0.0
432
Normal
0.0
425
Tumor
0.0
955
Tumor
0.0
132
Normal
0.0
523
Tumor
0.0
472
Normal
0.0
394
Normal
0.0
123
Tumor
-0.1
356
Normal
-0.1
297
Tumor
-0.1
313
Tumor
-0.1
217
Tumor
-0.1
741
Tumor
-0.1
212
Normal
-0.1
462
Normal
-0.1
728
Normal
-0.1
756
Normal
-0.1
636
Normal
-0.1
698
Normal
-0.1
737
Tumor
-0.1
284
Normal
-0.1
358
Normal
-0.1
966
Normal
-0.1
262
Normal
-0.1
327
Tumor
-0.1
647
Tumor
-0.1
695
Tumor
-0.1
131
Tumor
-0.1
938
Normal
-0.1
362
Normal
-0.1
723
Tumor
-0.1
114
Normal
-0.1
474
Normal
-0.1
964
Normal
-0.1
342
Normal
-0.1
1016
Normal
-0.1
546
Normal
-0.1
816
Normal
-0.1
952
Normal
-0.1
515
Tumor
-0.1
283
Tumor
-0.1
982
Normal
-0.1
124
Normal
-0.1
858
Normal
-0.1
696
Normal
-0.1
851
Tumor
-0.1
392
Normal
-0.1
258
Normal
-0.1
464
Normal
-0.1
186
Normal
-0.1
138
Normal
-0.1
618
Normal
-0.1
914
Normal
-0.1
332
Normal
-0.1
963
Tumor
-0.1
376
Normal
-0.1
446
Normal
-0.1
1022
Normal
-0.1
148
Normal
-0.1
422
Normal
-0.1
142
Normal
-0.1
146
Normal
-0.1
162
Normal
-0.1
224
Normal
-0.1
664
Normal
-0.1
755
Tumor
-0.1
312
Normal
-0.1
341
Tumor
-0.1
214
Normal
-0.1
448
Normal
-0.1
434
Normal
-0.1
364
Normal
-0.1
488
Normal
-0.1
951
Tumor
-0.1
978
Normal
-0.1
352
Normal
-0.1
126
Normal
-0.1
218
Normal
-0.1
271
Tumor
-0.1
865
Tumor
-0.1
976
Normal
-0.1
526
Normal
-0.1
412
Normal
-0.1
617
Tumor
-0.1
744
Normal
-0.1
185
Tumor
-0.1
648
Normal
-0.1
862
Normal
-0.1
628
Normal
-0.1
426
Normal
-0.1
278
Normal
-0.1
113
Tumor
-0.2
714
Normal
-0.2
727
Tumor
-0.2
534
Normal
-0.2
195
Tumor
-0.2
662
Normal
-0.2
187
Tumor
-0.2
785
Tumor
-0.2
864
Normal
-0.2
925
Tumor
-0.2
516
Normal
-0.2
722
Normal
-0.2
1013
Tumor
-0.2
535
Tumor
-0.2
1044
Normal
-0.2
878
Normal
-0.2
968
Normal
-0.2
1028
Normal
-0.2
937
Tumor
-0.2
172
Normal
-0.2
616
Normal
-0.2
211
Tumor
-0.2
777
Tumor
-0.2
926
Normal
-0.2
666
Normal
-0.2
452
Normal
-0.2
385
Tumor
-0.2
538
Normal
-0.2
881
Tumor
-0.2
231
Tumor
-0.2
568
Normal
-0.2
366
Normal
-0.2
363
Tumor
-0.2
328
Normal
-0.2
461
Tumor
-0.2
554
Normal
-0.2
344
Normal
-0.2
642
Normal
-0.2
912
Normal
-0.2
1042
Normal
-0.2
423
Tumor
-0.2
953
Tumor
-0.2
1014
Normal
-0.2
977
Tumor
-0.2
944
Normal
-0.2
484
Normal
-0.2
882
Normal
-0.2
956
Normal
-0.2
456
Normal
-0.2
314
Normal
-0.2
232
Normal
-0.2
524
Normal
-0.2
468
Normal
-0.2
391
Tumor
-0.2
818
Normal
-0.2
191
Tumor
-0.2
444
Normal
-0.2
188
Normal
-0.2
1015
Tumor
-0.2
514
Normal
-0.2
384
Normal
-0.2
868
Normal
-0.2
665
Tumor
-0.2
386
Normal
-0.2
433
Tumor
-0.2
491
Tumor
-0.2
354
Normal
-0.2
368
Normal
-0.2
396
Normal
-0.2
161
Tumor
-0.2
564
Normal
-0.2
558
Normal
-0.2
388
Normal
-0.2
477
Tumor
-0.2
375
Tumor
-0.2
866
Normal
-0.3
1032
Normal
-0.3
716
Normal
-0.3
268
Normal
-0.3
883
Tumor
-0.3
924
Normal
-0.3
494
Normal
-0.3
1041
Tumor
-0.3
355
Tumor
-0.3
365
Tumor
-0.3
852
Normal
-0.3
481
Tumor
-0.3
627
Tumor
-0.3
686
Normal
-0.3
1046
Normal
-0.3
954
Normal
-0.3
981
Tumor
-0.3
967
Tumor
-0.3
563
Tumor
-0.3
221
Tumor
-0.3
823
Tumor
-0.3
525
Tumor
-0.3
721
Tumor
-0.3
572
Normal
-0.3
918
Normal
-0.3
416
Normal
-0.3
536
Normal
-0.3
922
Normal
-0.3
343
Tumor
-0.3
916
Normal
-0.3
427
Tumor
-0.3
874
Normal
-0.3
545
Tumor
-0.3
361
Tumor
-0.3
984
Normal
-0.3
884
Normal
-0.3
873
Tumor
-0.3
917
Tumor
-0.3
478
Normal
-0.3
635
Tumor
-0.3
383
Tumor
-0.3
817
Tumor
-0.3
557
Tumor
-0.3
492
Normal
-0.3
813
Tumor
-0.3
1027
Tumor
-0.3
574
Normal
-0.3
861
Tumor
-0.3
867
Tumor
-0.3
958
Normal
-0.3
415
Tumor
-0.3
943
Tumor
-0.4
451
Tumor
-0.4
471
Tumor
-0.4
112
Tumor
-0.4
393
Tumor
-0.4
498
Normal
-0.4
192
Normal
-0.4
814
Normal
-0.4
923
Tumor
-0.4
467
Tumor
-0.4
257
Tumor
-0.4
911
Tumor
-0.4
213
Tumor
-0.4
493
Tumor
-0.4
1031
Tumor
-0.4
915
Tumor
-0.4
685
Tumor
-0.4
517
Tumor
-0.4
975
Tumor
-0.4
671
Tumor
-0.5
641
Tumor
-0.5
533
Tumor
-0.5
957
Tumor
-0.5
483
Tumor
-0.5
672
Normal
-0.5
1043
Tumor
-0.5
877
Tumor
-0.5
715
Tumor
-0.5
473
Tumor
-0.5
553
Tumor
-0.5
1045
Tumor
-0.6
965
Tumor
-0.6
857
Tumor
-0.6
921
Tumor
-0.6
913
Tumor
-0.6
513
Tumor
-0.6
863
Tumor
-0.6
487
Tumor
-0.7
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.