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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.
RPS18 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3449.7
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
16002.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
11750.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
11470.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
10361.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
10067.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
9585.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
9250.4
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
8924.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
8650.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
8534.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
8473.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
8455.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
8302.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
8115.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
8109.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
8035.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
8003.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
7817.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
7815.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
7776.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
7693.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
7549.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
7489.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
7386.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
7370.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
7248.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
7182.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
7126.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
7014.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
6900.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
6892.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
6882.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
6846.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
6830.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
6782.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
6740.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
6719.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
6669.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
6516.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
6513.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
6212.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
6205.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
6111.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
6086.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
6048.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
6028.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
6007.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
5811.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
5739.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
5680.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
5675.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
5653.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
5629.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
5480.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
5473.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
5423.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
5420.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
5420.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
5417.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
5340.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
5169.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
5103.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
5079.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
5034.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
5020.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
5011.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
4952.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
4941.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
4906.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
4890.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
4863.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
4818.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
4815.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
4801.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
4624.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
4617.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
4568.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
4563.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
4554.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
4484.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
4472.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
4451.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4405.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
4377.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4375.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
4295.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
4288.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
4285.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
4263.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4244.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
4242.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
4238.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
4238.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4202.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
4194.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
4191.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
4144.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
4124.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
4118.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
4116.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
4084.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
4020.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3977.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3950.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
3932.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
3912.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
3872.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
3806.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3787.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3776.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3772.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3751.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
3745.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3740.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3732.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
3722.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
3679.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3640.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
3626.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
3621.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
3603.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
3596.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
3588.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3541.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3537.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3521.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
3518.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3512.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
3486.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
3477.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3464.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
3400.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
3397.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3381.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
3380.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3368.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3339.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3339.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3336.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
3333.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
3324.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3296.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3282.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3279.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3270.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3251.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3242.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3233.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3207.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
3203.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
3203.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
3184.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
3168.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3163.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3149.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
3145.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
3138.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
3130.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
3086.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
3055.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3039.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
3037.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
3027.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3004.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2969.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2964.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2951.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2948.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2908.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2903.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2899.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2899.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2897.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2895.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2893.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
2885.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2875.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2873.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2837.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2824.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2803.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2800.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2797.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2783.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2774.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2773.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2758.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2757.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2754.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2740.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2735.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2714.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2698.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2684.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
2681.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2681.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2674.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2667.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2660.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2617.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2603.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2582.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2581.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2571.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2570.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2551.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2550.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2532.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2522.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2518.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2513.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2499.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2482.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2480.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2469.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2464.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2460.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2428.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2418.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2406.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2387.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2379.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2378.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
2375.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2373.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2373.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2372.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2369.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2367.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2366.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2355.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
2345.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2336.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2333.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2327.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2324.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2319.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2298.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2292.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2278.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2256.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2246.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2245.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2231.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2230.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2230.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
2229.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2224.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2223.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2205.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2185.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2175.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2145.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2134.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
2119.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2115.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2114.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2104.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2098.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2097.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2080.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2077.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2069.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2056.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2056.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2053.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2052.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2049.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2046.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2036.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2013.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
2011.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2006.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2004.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2002.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1996.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1993.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1981.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1978.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1978.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1959.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1944.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1913.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1909.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1904.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1887.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1855.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1838.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1803.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1801.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1800.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1798.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1792.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1789.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1787.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1784.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1780.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1771.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1770.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1767.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1756.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1752.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1751.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1745.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1725.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1717.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1706.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1694.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1688.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1679.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1677.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1665.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1600.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1599.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1596.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1577.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1577.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1565.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1533.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1528.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1502.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1498.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1492.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1489.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1479.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1463.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1445.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1439.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1438.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1436.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1430.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1420.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1419.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1418.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1406.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1401.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1390.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1344.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1322.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1295.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1248.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1240.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1229.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1220.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1216.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1187.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1157.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1150.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1133.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1126.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1105.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1104.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1077.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1076.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1047.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1016.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1012.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1008.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
960.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
905.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
870.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 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.
RPS18 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
4065.9
Number of samples
231
Samples
Sample
Description
pTPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
16379.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
13618.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
13268.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
12467.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
11249.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
11043.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
10836.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
10415.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
9877.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
9850.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
9754.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
9551.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
9327.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
9164.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
8879.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
8583.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
8395.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
8300.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
7988.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
7978.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
7831.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
7630.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
7530.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
7268.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
7131.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
7113.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
7025.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
6864.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
6847.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
6694.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
6622.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
6578.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
6365.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
6331.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
6319.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
6296.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
6287.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
6223.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
6138.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
6078.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
6029.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
6004.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
5967.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
5957.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
5914.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
5913.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
5739.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
5706.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
5644.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
5622.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
5578.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
5571.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
5476.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
5435.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
5389.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
5335.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
5180.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
5118.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
5061.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
5001.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
4999.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
4990.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
4940.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
4862.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
4854.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
4847.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
4829.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
4818.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
4809.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
4802.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
4801.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
4794.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
4785.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
4677.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
4671.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
4649.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
4636.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
4582.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
4450.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
4393.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
4370.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
4327.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
4314.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
4307.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
4300.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
4226.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
4200.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
4195.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
4172.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
4078.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
4026.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3997.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
3996.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
3995.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
3949.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
3914.3
DO50825
70 years, male, NA, stage:2, alive, 390 days
3883.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
3813.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
3805.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
3770.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
3757.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
3753.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
3734.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
3724.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
3713.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
3680.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
3671.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
3649.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
3646.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
3556.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
3553.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
3540.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
3440.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
3436.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
3433.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
3420.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
3408.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
3400.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3376.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
3343.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
3333.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
3332.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3326.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
3322.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
3251.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
3212.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
3211.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
3173.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
3159.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
3124.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3112.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
3108.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
3042.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
3018.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
3000.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2961.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
2926.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
2920.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2897.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
2871.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
2835.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
2821.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
2819.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2817.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
2815.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2787.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
2753.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2752.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
2708.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
2628.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2619.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
2611.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
2608.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
2607.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2579.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
2557.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2532.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2511.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
2505.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2385.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
2376.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2366.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2363.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
2338.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
2275.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
2210.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2209.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2205.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2203.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
2195.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
2194.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2149.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
2148.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
2120.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2086.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2085.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
2063.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2047.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
2038.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
2026.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
2015.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
2013.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
1999.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
1995.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
1967.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1894.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
1872.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1858.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
1835.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
1829.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
1824.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
1803.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
1795.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1779.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1753.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1737.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
1669.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
1649.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
1632.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
1621.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
1620.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
1596.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
1591.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
1540.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1511.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
1508.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
1501.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1480.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
1470.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1454.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1449.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
1442.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1422.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1421.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
1410.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1402.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1401.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1372.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
1356.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
1346.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1341.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
1318.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
1317.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
1308.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
1133.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1129.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1089.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
1074.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
918.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
817.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
817.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
537
Tumor
0.6
327
Tumor
0.4
636
Normal
0.4
367
Tumor
0.4
285
Tumor
0.4
567
Tumor
0.4
413
Tumor
0.4
1021
Tumor
0.4
393
Tumor
0.4
661
Tumor
0.4
965
Tumor
0.3
113
Tumor
0.3
131
Tumor
0.3
851
Tumor
0.3
331
Tumor
0.3
494
Normal
0.3
467
Tumor
0.3
983
Tumor
0.3
473
Tumor
0.3
955
Tumor
0.3
815
Tumor
0.3
497
Tumor
0.3
523
Tumor
0.3
481
Tumor
0.3
865
Tumor
0.3
937
Tumor
0.3
957
Tumor
0.3
912
Normal
0.2
135
Tumor
0.2
524
Normal
0.2
568
Normal
0.2
172
Normal
0.2
616
Normal
0.2
493
Tumor
0.2
967
Tumor
0.2
944
Normal
0.2
353
Tumor
0.2
1014
Normal
0.2
727
Tumor
0.2
223
Tumor
0.2
864
Normal
0.2
514
Normal
0.2
488
Normal
0.2
186
Normal
0.2
1027
Tumor
0.2
484
Normal
0.2
162
Normal
0.2
376
Normal
0.2
492
Normal
0.2
572
Normal
0.2
136
Normal
0.2
414
Normal
0.2
951
Tumor
0.2
743
Tumor
0.2
723
Tumor
0.2
628
Normal
0.2
721
Tumor
0.2
267
Tumor
0.2
558
Normal
0.2
777
Tumor
0.2
571
Tumor
0.2
387
Tumor
0.2
212
Normal
0.2
395
Tumor
0.2
964
Normal
0.2
394
Normal
0.2
756
Normal
0.2
685
Tumor
0.2
824
Normal
0.2
356
Normal
0.2
526
Normal
0.2
385
Tumor
0.2
195
Tumor
0.2
443
Tumor
0.2
471
Tumor
0.2
786
Normal
0.2
648
Normal
0.2
314
Normal
0.2
913
Tumor
0.2
922
Normal
0.2
332
Normal
0.2
738
Normal
0.2
984
Normal
0.2
1025
Tumor
0.2
528
Normal
0.2
564
Normal
0.2
1046
Normal
0.2
518
Normal
0.2
866
Normal
0.2
462
Normal
0.2
545
Tumor
0.2
148
Normal
0.2
573
Tumor
0.2
368
Normal
0.2
953
Tumor
0.1
286
Normal
0.1
516
Normal
0.1
617
Tumor
0.1
852
Normal
0.1
696
Normal
0.1
926
Normal
0.1
966
Normal
0.1
424
Normal
0.1
114
Normal
0.1
1026
Normal
0.1
778
Normal
0.1
958
Normal
0.1
647
Tumor
0.1
412
Normal
0.1
615
Tumor
0.1
421
Tumor
0.1
882
Normal
0.1
392
Normal
0.1
191
Tumor
0.1
128
Normal
0.1
362
Normal
0.1
142
Normal
0.1
728
Normal
0.1
938
Normal
0.1
1032
Normal
0.1
451
Tumor
0.1
873
Tumor
0.1
517
Tumor
0.1
722
Normal
0.1
664
Normal
0.1
618
Normal
0.1
981
Tumor
0.1
533
Tumor
0.1
978
Normal
0.1
466
Normal
0.1
411
Tumor
0.1
426
Normal
0.1
436
Normal
0.1
671
Tumor
0.1
697
Tumor
0.1
918
Normal
0.1
396
Normal
0.1
785
Tumor
0.1
724
Normal
0.1
1044
Normal
0.1
968
Normal
0.1
672
Normal
0.1
211
Tumor
0.1
355
Tumor
0.1
298
Normal
0.1
884
Normal
0.1
422
Normal
0.1
428
Normal
0.1
448
Normal
0.1
1042
Normal
0.1
858
Normal
0.1
515
Tumor
0.1
698
Normal
0.1
525
Tumor
0.1
1022
Normal
0.1
278
Normal
0.1
384
Normal
0.1
388
Normal
0.1
312
Normal
0.1
171
Tumor
0.1
954
Normal
0.1
126
Normal
0.1
878
Normal
0.1
474
Normal
0.1
124
Normal
0.1
284
Normal
0.1
425
Tumor
0.1
818
Normal
0.1
427
Tumor
0.1
132
Normal
0.1
686
Normal
0.1
862
Normal
0.1
642
Normal
0.1
943
Tumor
0.1
227
Tumor
0.1
358
Normal
0.1
745
Tumor
0.1
666
Normal
0.1
662
Normal
0.1
187
Tumor
0.1
464
Normal
0.1
952
Normal
0.1
527
Tumor
0.1
214
Normal
0.1
366
Normal
0.1
535
Tumor
0.1
472
Normal
0.1
963
Tumor
0.1
714
Normal
0.1
342
Normal
0.1
112
Tumor
0.1
228
Normal
0.1
344
Normal
0.1
188
Normal
0.1
431
Tumor
0.1
452
Normal
0.1
196
Normal
0.1
665
Tumor
0.1
137
Tumor
0.1
423
Tumor
0.1
258
Normal
0.1
737
Tumor
0.1
536
Normal
0.1
916
Normal
0.1
232
Normal
0.1
534
Normal
0.1
138
Normal
0.1
817
Tumor
0.1
1015
Tumor
0.1
742
Normal
0.1
277
Tumor
0.1
574
Normal
0.1
483
Tumor
0.1
111
Normal
0.1
546
Normal
0.1
1016
Normal
0.1
482
Normal
0.0
463
Tumor
0.0
635
Tumor
0.0
445
Tumor
0.0
446
Normal
0.0
461
Tumor
0.0
218
Normal
0.0
976
Normal
0.0
487
Tumor
0.0
554
Normal
0.0
716
Normal
0.0
883
Tumor
0.0
145
Tumor
0.0
641
Tumor
0.0
468
Normal
0.0
982
Normal
0.0
447
Tumor
0.0
924
Normal
0.0
363
Tumor
0.0
861
Tumor
0.0
478
Normal
0.0
563
Tumor
0.0
432
Normal
0.0
221
Tumor
0.0
1013
Tumor
0.0
1028
Normal
0.0
755
Tumor
0.0
663
Tumor
0.0
923
Tumor
0.0
328
Normal
0.0
352
Normal
0.0
222
Normal
0.0
361
Tumor
0.0
746
Normal
0.0
433
Tumor
0.0
917
Tumor
0.0
416
Normal
0.0
283
Tumor
0.0
415
Tumor
0.0
477
Tumor
0.0
513
Tumor
0.0
498
Normal
0.0
351
Tumor
0.0
185
Tumor
0.0
695
Tumor
0.0
147
Tumor
0.0
538
Normal
0.0
881
Tumor
0.0
1031
Tumor
0.0
816
Normal
0.0
257
Tumor
0.0
386
Normal
0.0
146
Normal
0.0
161
Tumor
0.0
715
Tumor
0.0
915
Tumor
0.0
456
Normal
0.0
444
Normal
0.0
868
Normal
0.0
213
Tumor
0.0
975
Tumor
0.0
231
Tumor
0.0
262
Normal
0.0
465
Tumor
0.0
713
Tumor
0.0
125
Tumor
0.0
455
Tumor
0.0
364
Normal
0.0
141
Tumor
0.0
874
Normal
0.0
375
Tumor
0.0
391
Tumor
0.0
272
Normal
0.0
857
Tumor
0.0
297
Tumor
0.0
343
Tumor
0.0
127
Tumor
0.0
867
Tumor
0.0
914
Normal
0.0
365
Tumor
0.0
1043
Tumor
0.0
271
Tumor
-0.1
224
Normal
-0.1
217
Tumor
-0.1
268
Normal
-0.1
956
Normal
-0.1
313
Tumor
-0.1
354
Normal
-0.1
877
Tumor
-0.1
434
Normal
-0.1
311
Tumor
-0.1
435
Tumor
-0.1
123
Tumor
-0.1
261
Tumor
-0.1
744
Normal
-0.1
823
Tumor
-0.1
921
Tumor
-0.1
553
Tumor
-0.1
357
Tumor
-0.1
1041
Tumor
-0.1
814
Normal
-0.1
977
Tumor
-0.1
341
Tumor
-0.1
863
Tumor
-0.1
383
Tumor
-0.1
491
Tumor
-0.1
192
Normal
-0.1
925
Tumor
-0.1
911
Tumor
-0.2
813
Tumor
-0.2
627
Tumor
-0.2
1045
Tumor
-0.2
741
Tumor
-0.3
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
