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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.
TPT1 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.
: 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.
0.031
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.
54%
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.
43%
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
2821.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
7394.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
6337.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
6177.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
6024.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
5873.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
5414.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
5404.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
5338.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
5276.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
5261.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
5260.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
5168.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
5130.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
5051.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
4987.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4967.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
4935.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
4877.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
4873.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
4870.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4864.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
4840.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
4836.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
4728.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
4700.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
4670.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
4645.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
4615.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
4615.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
4593.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
4566.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4504.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
4481.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
4478.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
4462.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
4436.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
4388.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4346.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
4335.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
4328.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4275.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4265.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
4259.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
4254.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4248.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
4206.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
4148.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
4130.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
4127.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
4116.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
4108.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
4094.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
4084.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4073.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
4057.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
4034.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
4026.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
4017.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
4012.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
4003.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
4001.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
3997.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3977.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
3898.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
3893.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
3879.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
3877.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
3875.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3862.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
3841.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
3837.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
3824.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
3820.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
3768.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
3765.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3754.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3748.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3729.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
3727.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
3684.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3669.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3663.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3644.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3635.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
3633.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3632.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3614.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
3612.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
3597.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
3593.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
3593.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
3586.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3537.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3530.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
3525.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
3497.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
3494.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
3485.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
3485.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
3473.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
3467.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3464.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3453.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
3449.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
3438.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3415.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
3368.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
3368.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
3363.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3361.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
3348.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
3338.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3318.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3318.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3309.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3293.1
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3259.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3243.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3240.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
3238.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3237.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3234.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3221.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3220.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3209.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3205.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3203.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
3200.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
3190.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
3189.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
3187.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
3181.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3151.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
3122.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
3119.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
3119.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3118.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
3099.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3095.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
3080.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3075.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
3053.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
3031.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3019.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
3010.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2993.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2988.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2978.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
2974.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2958.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2955.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2946.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2943.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2924.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2904.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2899.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2893.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2891.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2875.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
2847.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2836.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2824.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2823.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2821.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2812.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2807.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2807.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2802.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
2795.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2787.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
2783.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2761.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2757.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
2750.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2747.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2742.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2733.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2727.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2716.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2708.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
2707.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2706.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
2696.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2686.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2682.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2675.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2675.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2671.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2659.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2654.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2646.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
2622.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2617.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2613.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2608.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
2579.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2575.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2572.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2563.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2559.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2556.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2518.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2515.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2505.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
2504.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2480.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2479.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2459.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2448.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2447.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2435.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2425.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2422.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2419.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2401.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2374.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2372.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2371.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2348.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2340.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
2333.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2309.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2307.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2305.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2300.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
2297.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2282.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2277.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2250.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2233.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
2229.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2215.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2215.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2214.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2212.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2206.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2200.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2199.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2198.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2197.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2196.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
2165.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2150.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
2145.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2139.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2135.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2132.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
2131.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
2111.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2109.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2100.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2079.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2072.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2063.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2059.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2042.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2019.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2014.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2013.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2004.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1973.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1972.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1970.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1966.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1962.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1955.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1948.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1942.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1923.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1920.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1918.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1911.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1905.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1886.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1884.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1881.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1870.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1865.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1863.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1862.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1839.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1834.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1811.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1795.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1789.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1788.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1788.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1783.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1765.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1762.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1757.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1741.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1738.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1737.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1712.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1701.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1696.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1694.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1676.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1671.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1669.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1667.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1661.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1661.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1658.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1622.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1621.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1603.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1602.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1592.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1581.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1581.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1575.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1571.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1570.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1547.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1535.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1526.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1519.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1517.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1506.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1504.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1490.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1482.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1449.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1444.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1407.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1398.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1397.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1378.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1363.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1339.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1338.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1333.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1322.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1320.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1305.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1301.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1283.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1276.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1270.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1267.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1239.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1237.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1221.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1202.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1202.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1181.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1123.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1119.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1114.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1100.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1096.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1092.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1076.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1050.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1044.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1001.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
898.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
812.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
748.2
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.
TPT1 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.
0.0075
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.
0%
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
3475.1
Number of samples
231
Samples
Sample
Description
TPM
DO48715
58 years, female, NA, stage:2, dead, 690 days
7756.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
7648.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
7523.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
7150.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
6923.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
6817.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
6727.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
6713.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
6485.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
6361.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
6312.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
6210.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
6169.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
5733.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
5583.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
5482.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
5457.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
5304.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
5294.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
5289.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
5266.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
5256.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
5184.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
5142.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
5142.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
5108.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
5106.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
5099.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
5071.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
5054.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
5036.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
4945.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
4941.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
4849.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
4846.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
4829.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
4811.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
4763.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
4727.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
4718.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
4680.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
4669.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
4663.3
DO45229
74 years, male, NA, stage:1, alive, 990 days
4642.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
4628.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
4615.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
4605.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
4601.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
4567.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
4471.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
4401.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
4395.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
4369.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
4362.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
4358.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
4332.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
4329.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4306.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
4290.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
4274.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
4271.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
4271.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
4256.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
4222.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
4217.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
4214.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
4182.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
4168.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
4151.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
4139.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
4128.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
4115.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
4110.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
4089.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
4049.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
4026.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
4025.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
3990.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
3983.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
3963.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
3927.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
3868.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
3866.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3840.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
3800.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3777.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
3775.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
3760.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
3746.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
3746.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
3725.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
3717.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
3715.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
3699.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
3663.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
3646.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3639.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
3639.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3636.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
3621.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
3611.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
3609.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
3571.0
DO23541
65 years, male, NA, stage:2, alive, 930 days
3557.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
3535.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
3519.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
3511.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
3508.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
3504.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
3489.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
3475.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
3468.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
3464.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
3458.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
3421.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
3404.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
3340.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
3330.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
3285.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
3281.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
3246.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
3232.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
3223.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3194.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
3193.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
3180.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
3175.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
3173.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
3148.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
3139.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
3088.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
3085.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3082.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
3070.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
3044.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
3026.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2976.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2972.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
2971.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
2968.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2960.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2950.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
2939.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
2907.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
2895.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2888.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
2861.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
2833.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
2825.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
2815.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2789.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
2776.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2761.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
2759.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
2750.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
2748.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2746.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
2741.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
2732.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
2716.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2716.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
2649.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2647.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2613.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
2610.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2609.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
2606.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
2573.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2570.9
DO23550
69 years, male, NA, stage:1, alive, 990 days
2563.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
2519.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
2511.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2463.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
2437.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
2407.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2389.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
2363.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2308.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
2292.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
2230.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
2227.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2215.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
2196.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2185.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2185.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
2176.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
2159.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
2129.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
2111.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
2100.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
2095.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
2093.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
2085.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
2072.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
2069.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
2052.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
2045.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
2044.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
2029.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
2026.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2023.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2009.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
1968.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
1912.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
1908.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1860.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1829.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
1829.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1827.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1817.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1803.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1799.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
1750.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1746.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
1704.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1698.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1683.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1672.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
1616.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
1587.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1552.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
1489.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1313.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
1274.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1270.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
1264.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
1061.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
1013.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
849.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
819.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
657.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
411
Tumor
1.0
1027
Tumor
0.8
627
Tumor
0.8
663
Tumor
0.8
661
Tumor
0.7
297
Tumor
0.7
368
Normal
0.7
615
Tumor
0.7
257
Tumor
0.7
435
Tumor
0.6
951
Tumor
0.6
537
Tumor
0.6
232
Normal
0.5
357
Tumor
0.5
271
Tumor
0.5
467
Tumor
0.5
743
Tumor
0.5
191
Tumor
0.5
365
Tumor
0.5
135
Tumor
0.5
353
Tumor
0.5
642
Normal
0.5
955
Tumor
0.5
313
Tumor
0.4
777
Tumor
0.4
145
Tumor
0.4
258
Normal
0.4
1031
Tumor
0.4
376
Normal
0.4
262
Normal
0.4
227
Tumor
0.4
641
Tumor
0.4
375
Tumor
0.4
1043
Tumor
0.4
1026
Normal
0.4
617
Tumor
0.4
298
Normal
0.4
721
Tumor
0.4
113
Tumor
0.4
536
Normal
0.4
188
Normal
0.4
983
Tumor
0.4
432
Normal
0.4
137
Tumor
0.4
937
Tumor
0.4
423
Tumor
0.4
114
Normal
0.4
392
Normal
0.4
713
Tumor
0.4
981
Tumor
0.4
277
Tumor
0.4
362
Normal
0.4
963
Tumor
0.4
394
Normal
0.4
187
Tumor
0.4
1022
Normal
0.3
111
Normal
0.3
944
Normal
0.3
451
Tumor
0.3
1013
Tumor
0.3
125
Tumor
0.3
231
Tumor
0.3
917
Tumor
0.3
112
Tumor
0.3
1025
Tumor
0.3
395
Tumor
0.3
697
Tumor
0.3
386
Normal
0.3
186
Normal
0.3
664
Normal
0.3
434
Normal
0.3
1042
Normal
0.3
272
Normal
0.3
515
Tumor
0.3
436
Normal
0.3
366
Normal
0.3
618
Normal
0.3
384
Normal
0.3
388
Normal
0.3
127
Tumor
0.3
148
Normal
0.3
396
Normal
0.3
267
Tumor
0.3
342
Normal
0.3
568
Normal
0.3
196
Normal
0.3
953
Tumor
0.3
815
Tumor
0.3
162
Normal
0.3
314
Normal
0.3
361
Tumor
0.3
636
Normal
0.3
1041
Tumor
0.3
351
Tumor
0.3
628
Normal
0.3
724
Normal
0.3
912
Normal
0.3
924
Normal
0.3
358
Normal
0.3
327
Tumor
0.3
666
Normal
0.3
126
Normal
0.3
938
Normal
0.2
698
Normal
0.2
456
Normal
0.2
218
Normal
0.2
557
Tumor
0.2
573
Tumor
0.2
616
Normal
0.2
311
Tumor
0.2
446
Normal
0.2
421
Tumor
0.2
385
Tumor
0.2
426
Normal
0.2
926
Normal
0.2
1032
Normal
0.2
943
Tumor
0.2
214
Normal
0.2
696
Normal
0.2
444
Normal
0.2
851
Tumor
0.2
352
Normal
0.2
331
Tumor
0.2
422
Normal
0.2
662
Normal
0.2
344
Normal
0.2
217
Tumor
0.2
124
Normal
0.2
648
Normal
0.2
222
Normal
0.2
332
Normal
0.2
195
Tumor
0.2
968
Normal
0.2
672
Normal
0.2
136
Normal
0.2
1044
Normal
0.2
172
Normal
0.2
952
Normal
0.2
665
Tumor
0.2
161
Tumor
0.2
742
Normal
0.2
448
Normal
0.2
147
Tumor
0.2
915
Tumor
0.2
268
Normal
0.2
714
Normal
0.2
481
Tumor
0.2
447
Tumor
0.2
387
Tumor
0.2
918
Normal
0.2
132
Normal
0.2
1015
Tumor
0.2
424
Normal
0.1
433
Tumor
0.1
786
Normal
0.1
1046
Normal
0.1
427
Tumor
0.1
1028
Normal
0.1
817
Tumor
0.1
138
Normal
0.1
911
Tumor
0.1
461
Tumor
0.1
383
Tumor
0.1
1021
Tumor
0.1
213
Tumor
0.1
413
Tumor
0.1
223
Tumor
0.1
965
Tumor
0.1
564
Normal
0.1
312
Normal
0.1
414
Normal
0.1
964
Normal
0.1
868
Normal
0.1
916
Normal
0.1
354
Normal
0.1
464
Normal
0.1
367
Tumor
0.1
278
Normal
0.1
956
Normal
0.1
286
Normal
0.1
574
Normal
0.1
814
Normal
0.1
866
Normal
0.1
393
Tumor
0.1
261
Tumor
0.1
452
Normal
0.1
954
Normal
0.1
468
Normal
0.1
873
Tumor
0.0
428
Normal
0.0
462
Normal
0.0
343
Tumor
0.0
966
Normal
0.0
482
Normal
0.0
922
Normal
0.0
862
Normal
0.0
443
Tumor
0.0
647
Tumor
0.0
524
Normal
0.0
1014
Normal
0.0
745
Tumor
0.0
415
Tumor
0.0
818
Normal
0.0
192
Normal
0.0
686
Normal
0.0
518
Normal
0.0
185
Tumor
0.0
546
Normal
0.0
864
Normal
0.0
341
Tumor
0.0
484
Normal
0.0
171
Tumor
0.0
526
Normal
0.0
445
Tumor
0.0
914
Normal
0.0
146
Normal
0.0
738
Normal
0.0
723
Tumor
0.0
391
Tumor
0.0
716
Normal
0.0
746
Normal
0.0
958
Normal
0.0
715
Tumor
0.0
472
Normal
0.0
535
Tumor
0.0
863
Tumor
0.0
744
Normal
0.0
483
Tumor
0.0
471
Tumor
0.0
364
Normal
0.0
563
Tumor
0.0
528
Normal
0.0
128
Normal
0.0
474
Normal
-0.1
527
Tumor
-0.1
567
Tumor
-0.1
514
Normal
-0.1
466
Normal
-0.1
722
Normal
-0.1
816
Normal
-0.1
976
Normal
-0.1
824
Normal
-0.1
356
Normal
-0.1
1016
Normal
-0.1
874
Normal
-0.1
1045
Tumor
-0.1
756
Normal
-0.1
728
Normal
-0.1
957
Tumor
-0.1
877
Tumor
-0.1
554
Normal
-0.1
525
Tumor
-0.1
883
Tumor
-0.1
778
Normal
-0.1
572
Normal
-0.1
813
Tumor
-0.1
516
Normal
-0.1
141
Tumor
-0.1
494
Normal
-0.1
967
Tumor
-0.1
497
Tumor
-0.1
534
Normal
-0.1
463
Tumor
-0.1
498
Normal
-0.1
865
Tumor
-0.2
978
Normal
-0.2
867
Tumor
-0.2
533
Tumor
-0.2
228
Normal
-0.2
984
Normal
-0.2
283
Tumor
-0.2
982
Normal
-0.2
671
Tumor
-0.2
884
Normal
-0.2
492
Normal
-0.2
925
Tumor
-0.2
478
Normal
-0.2
142
Normal
-0.2
882
Normal
-0.2
212
Normal
-0.2
685
Tumor
-0.2
416
Normal
-0.2
363
Tumor
-0.2
553
Tumor
-0.2
858
Normal
-0.2
491
Tumor
-0.2
488
Normal
-0.2
635
Tumor
-0.2
284
Normal
-0.2
923
Tumor
-0.2
473
Tumor
-0.3
221
Tumor
-0.3
975
Tumor
-0.3
328
Normal
-0.3
412
Normal
-0.3
558
Normal
-0.3
852
Normal
-0.3
878
Normal
-0.3
727
Tumor
-0.3
211
Tumor
-0.3
913
Tumor
-0.3
538
Normal
-0.3
517
Tumor
-0.3
224
Normal
-0.3
465
Tumor
-0.3
881
Tumor
-0.3
477
Tumor
-0.4
695
Tumor
-0.4
131
Tumor
-0.4
571
Tumor
-0.4
921
Tumor
-0.4
861
Tumor
-0.4
755
Tumor
-0.4
431
Tumor
-0.4
823
Tumor
-0.4
355
Tumor
-0.5
741
Tumor
-0.5
493
Tumor
-0.5
285
Tumor
-0.5
785
Tumor
-0.5
977
Tumor
-0.5
545
Tumor
-0.5
425
Tumor
-0.5
513
Tumor
-0.6
857
Tumor
-0.6
523
Tumor
-0.6
123
Tumor
-0.7
487
Tumor
-0.7
737
Tumor
-0.7
455
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.