We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RPL41 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
3931.6
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
13115.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
12130.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
11146.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
11057.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
11053.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
10526.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
9981.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
9939.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
9806.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
9548.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
9322.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
9147.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
8504.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
8402.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
8279.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
8273.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
7797.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
7484.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
7432.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
7246.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
7239.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
7218.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
7215.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
7197.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
7149.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
7076.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
7065.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
7010.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
6809.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
6795.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
6733.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
6691.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
6664.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
6610.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
6606.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
6533.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
6421.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
6312.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
6269.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
6265.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
6151.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
6122.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
6114.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
6112.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
6062.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
5986.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
5983.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5961.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
5955.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
5852.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5793.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
5762.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
5749.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
5666.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
5661.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
5566.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
5556.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
5535.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
5527.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
5514.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
5436.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
5369.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
5343.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
5341.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
5341.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
5330.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
5297.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
5227.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
5194.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
5181.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
5153.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
5147.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
5147.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
5126.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5124.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
5115.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
5066.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4995.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4950.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
4942.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
4915.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
4852.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
4829.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
4812.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
4790.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
4768.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
4751.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4744.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
4732.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
4730.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
4679.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
4650.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
4641.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
4640.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
4628.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
4591.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
4556.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
4541.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
4538.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4536.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
4530.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
4522.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
4494.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4475.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
4466.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
4466.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
4416.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
4389.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
4383.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
4373.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
4370.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
4329.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
4328.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
4314.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
4314.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
4304.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
4301.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
4251.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
4206.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
4199.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
4196.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
4185.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
4171.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
4169.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
4119.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
4107.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
4080.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
4074.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
4063.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
4055.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
4048.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
4035.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3996.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
3989.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
3988.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
3959.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
3912.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
3895.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
3881.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3880.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3831.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3812.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3794.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
3792.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3776.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3770.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
3759.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
3745.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
3738.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
3723.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
3712.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
3710.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
3709.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3707.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
3689.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3680.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
3678.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
3671.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
3668.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
3652.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
3629.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
3624.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3615.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3605.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3599.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
3596.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
3590.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
3582.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3569.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
3537.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3534.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3518.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
3516.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
3513.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
3506.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
3499.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
3494.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3485.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
3467.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
3464.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
3460.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
3451.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3448.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
3445.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3443.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
3442.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
3441.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3439.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3438.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
3432.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
3413.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
3405.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
3400.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
3393.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3387.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3384.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
3383.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
3377.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
3364.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
3348.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3340.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
3297.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
3293.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3293.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
3287.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
3282.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
3227.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
3227.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
3226.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
3224.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
3212.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
3190.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3180.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
3165.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
3150.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
3150.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3122.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
3117.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
3116.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3115.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
3101.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
3046.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
3039.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
3037.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
3036.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
3019.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3011.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
3010.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
3010.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
3005.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
3004.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2981.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2969.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
2964.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2954.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
2950.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2944.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2942.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2933.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2933.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2932.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2929.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2925.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2922.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2914.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
2891.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2877.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2867.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2837.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2830.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2825.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2825.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2823.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2808.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2784.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2776.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2769.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2742.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2735.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
2728.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2722.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2720.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2715.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2706.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2699.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2693.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2688.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2679.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2678.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2674.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2653.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2645.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2635.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2634.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2622.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2615.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
2611.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
2602.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2591.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2587.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2577.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2570.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2564.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2558.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2556.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2529.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2501.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2493.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2490.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2487.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
2479.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2474.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2460.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2449.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2432.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2424.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2419.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2416.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2410.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2398.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2387.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2353.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
2332.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2331.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2313.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2305.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2286.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
2261.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2257.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2243.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2239.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
2234.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2216.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2209.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
2203.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2177.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2144.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2135.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2126.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
2103.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2094.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
2091.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2073.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2067.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2059.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
2047.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2025.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
2005.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1970.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1964.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1957.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1947.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1918.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1917.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1911.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1904.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1898.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1849.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1795.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1783.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1772.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1766.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1753.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1750.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1743.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1743.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1668.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1620.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1615.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1604.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1588.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1576.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1552.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1539.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1488.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1366.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1274.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1186.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1184.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1093.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
963.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 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.
RPL41 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
4245.7
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
14947.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
13343.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
11778.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
10898.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
9918.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
9745.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
9557.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
9430.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
8848.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
8741.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
8476.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
7908.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
7757.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
7712.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
7560.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
7449.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
7324.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
7090.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
7024.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
7023.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
6931.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
6925.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
6899.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
6833.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
6795.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
6772.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
6582.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
6490.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
6315.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
6303.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
6287.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
6279.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
6272.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
6239.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
6233.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
6219.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
6158.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
6154.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
6140.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
5998.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
5986.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
5974.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
5943.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
5939.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
5893.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
5871.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
5790.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
5710.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
5675.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
5663.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
5652.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
5651.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
5636.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
5556.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
5528.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
5520.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
5511.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
5470.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
5458.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
5409.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
5409.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
5378.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
5357.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
5240.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
5156.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
5149.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
5115.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
4984.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
4962.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
4890.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
4829.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
4821.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
4816.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
4781.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
4753.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
4720.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
4697.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
4645.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
4631.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
4521.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
4458.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
4442.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
4398.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
4389.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
4369.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
4360.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
4327.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
4260.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
4248.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
4234.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
4224.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
4223.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
4215.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
4210.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
4204.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
4176.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
4132.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
4117.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
4114.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
4099.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
4079.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
4067.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
4059.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
4027.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
4012.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
3986.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
3979.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
3962.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
3917.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
3900.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
3896.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
3885.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
3880.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
3877.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
3846.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
3837.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
3820.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
3794.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
3784.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
3752.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
3716.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
3672.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
3671.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
3654.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
3636.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
3633.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
3628.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
3607.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3602.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
3589.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
3567.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
3559.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
3532.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
3522.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
3503.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
3461.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
3442.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
3432.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3394.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
3361.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
3347.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
3338.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
3321.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
3317.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
3296.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
3288.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
3253.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3230.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
3222.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
3203.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
3179.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
3170.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
3167.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
3156.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
3124.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
3113.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
3099.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
3075.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
3070.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
3070.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
3017.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
3016.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
2964.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
2899.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
2889.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2875.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2868.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2863.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
2842.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2838.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
2838.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
2826.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
2810.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2805.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
2782.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2750.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
2707.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
2703.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2698.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
2626.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
2616.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
2540.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2538.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
2492.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
2477.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
2469.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
2462.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2454.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2442.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
2440.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
2384.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2354.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2316.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
2316.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2305.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
2298.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2286.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
2281.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
2277.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2271.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
2245.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
2228.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
2227.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
2211.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2183.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2134.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
2114.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
2105.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2091.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
2090.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
2077.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
1991.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
1970.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
1914.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
1902.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
1745.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1726.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1696.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1680.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1679.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
1661.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1599.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
1527.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1522.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
1500.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1344.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1016.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
830.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
798.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
745.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
645.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
471
Tumor
N/A
351
Tumor
N/A
472
Normal
N/A
231
Tumor
N/A
352
Normal
N/A
473
Tumor
N/A
111
Normal
N/A
232
Normal
N/A
353
Tumor
N/A
474
Normal
N/A
112
Tumor
N/A
354
Normal
N/A
113
Tumor
N/A
355
Tumor
N/A
114
Normal
N/A
356
Normal
N/A
477
Tumor
N/A
357
Tumor
N/A
478
Normal
N/A
358
Normal
N/A
911
Tumor
N/A
912
Normal
N/A
913
Tumor
N/A
914
Normal
N/A
915
Tumor
N/A
916
Normal
N/A
917
Tumor
N/A
918
Normal
N/A
481
Tumor
N/A
361
Tumor
N/A
482
Normal
N/A
362
Normal
N/A
483
Tumor
N/A
363
Tumor
N/A
484
Normal
N/A
364
Normal
N/A
123
Tumor
N/A
365
Tumor
N/A
124
Normal
N/A
366
Normal
N/A
487
Tumor
N/A
125
Tumor
N/A
367
Tumor
N/A
488
Normal
N/A
126
Normal
N/A
368
Normal
N/A
127
Tumor
N/A
128
Normal
N/A
921
Tumor
N/A
922
Normal
N/A
923
Tumor
N/A
924
Normal
N/A
925
Tumor
N/A
926
Normal
N/A
491
Tumor
N/A
492
Normal
N/A
493
Tumor
N/A
131
Tumor
N/A
494
Normal
N/A
132
Normal
N/A
375
Tumor
N/A
376
Normal
N/A
497
Tumor
N/A
135
Tumor
N/A
498
Normal
N/A
136
Normal
N/A
257
Tumor
N/A
137
Tumor
N/A
258
Normal
N/A
138
Normal
N/A
813
Tumor
N/A
814
Normal
N/A
815
Tumor
N/A
816
Normal
N/A
937
Tumor
N/A
817
Tumor
N/A
938
Normal
N/A
818
Normal
N/A
261
Tumor
N/A
141
Tumor
N/A
262
Normal
N/A
383
Tumor
N/A
142
Normal
N/A
384
Normal
N/A
385
Tumor
N/A
386
Normal
N/A
145
Tumor
N/A
387
Tumor
N/A
146
Normal
N/A
267
Tumor
N/A
388
Normal
N/A
147
Tumor
N/A
268
Normal
N/A
148
Normal
N/A
943
Tumor
N/A
823
Tumor
N/A
944
Normal
N/A
824
Normal
N/A
1022
Normal
N/A
1021
Tumor
N/A
391
Tumor
N/A
271
Tumor
N/A
392
Normal
N/A
272
Normal
N/A
393
Tumor
N/A
394
Normal
N/A
395
Tumor
N/A
396
Normal
N/A
277
Tumor
N/A
1016
Normal
N/A
278
Normal
N/A
1015
Tumor
N/A
1014
Normal
N/A
951
Tumor
N/A
1013
Tumor
N/A
952
Normal
N/A
953
Tumor
N/A
954
Normal
N/A
713
Tumor
N/A
955
Tumor
N/A
714
Normal
N/A
956
Normal
N/A
715
Tumor
N/A
957
Tumor
N/A
716
Normal
N/A
958
Normal
N/A
1032
Normal
N/A
1031
Tumor
N/A
161
Tumor
N/A
162
Normal
N/A
283
Tumor
N/A
284
Normal
N/A
285
Tumor
N/A
286
Normal
N/A
1028
Normal
N/A
1027
Tumor
N/A
1026
Normal
N/A
1025
Tumor
N/A
721
Tumor
N/A
963
Tumor
N/A
722
Normal
N/A
964
Normal
N/A
723
Tumor
N/A
965
Tumor
N/A
724
Normal
N/A
966
Normal
N/A
967
Tumor
N/A
968
Normal
N/A
727
Tumor
N/A
728
Normal
N/A
1044
Normal
N/A
1043
Tumor
N/A
1042
Normal
N/A
1041
Tumor
N/A
171
Tumor
N/A
172
Normal
N/A
297
Tumor
N/A
298
Normal
N/A
851
Tumor
N/A
852
Normal
N/A
975
Tumor
N/A
976
Normal
N/A
977
Tumor
N/A
615
Tumor
N/A
857
Tumor
N/A
978
Normal
N/A
616
Normal
N/A
737
Tumor
N/A
858
Normal
N/A
617
Tumor
N/A
738
Normal
N/A
618
Normal
N/A
185
Tumor
N/A
186
Normal
N/A
187
Tumor
N/A
188
Normal
N/A
981
Tumor
N/A
861
Tumor
N/A
982
Normal
N/A
741
Tumor
N/A
862
Normal
N/A
983
Tumor
N/A
742
Normal
N/A
863
Tumor
N/A
984
Normal
N/A
1046
Normal
N/A
743
Tumor
N/A
864
Normal
N/A
1045
Tumor
N/A
744
Normal
N/A
865
Tumor
N/A
745
Tumor
N/A
866
Normal
N/A
746
Normal
N/A
867
Tumor
N/A
868
Normal
N/A
627
Tumor
N/A
628
Normal
N/A
191
Tumor
N/A
192
Normal
N/A
195
Tumor
N/A
196
Normal
N/A
873
Tumor
N/A
874
Normal
N/A
513
Tumor
N/A
755
Tumor
N/A
514
Normal
N/A
635
Tumor
N/A
756
Normal
N/A
877
Tumor
N/A
515
Tumor
N/A
636
Normal
N/A
878
Normal
N/A
516
Normal
N/A
517
Tumor
N/A
518
Normal
N/A
881
Tumor
N/A
882
Normal
N/A
641
Tumor
N/A
883
Tumor
N/A
642
Normal
N/A
884
Normal
N/A
523
Tumor
N/A
524
Normal
N/A
525
Tumor
N/A
526
Normal
N/A
647
Tumor
N/A
527
Tumor
N/A
648
Normal
N/A
528
Normal
N/A
411
Tumor
N/A
412
Normal
N/A
533
Tumor
N/A
413
Tumor
N/A
534
Normal
N/A
414
Normal
N/A
535
Tumor
N/A
777
Tumor
N/A
415
Tumor
N/A
536
Normal
N/A
778
Normal
N/A
416
Normal
N/A
537
Tumor
N/A
538
Normal
N/A
661
Tumor
N/A
662
Normal
N/A
421
Tumor
N/A
663
Tumor
N/A
422
Normal
N/A
664
Normal
N/A
785
Tumor
N/A
423
Tumor
N/A
665
Tumor
N/A
786
Normal
N/A
424
Normal
N/A
545
Tumor
N/A
666
Normal
N/A
425
Tumor
N/A
546
Normal
N/A
426
Normal
N/A
427
Tumor
N/A
428
Normal
N/A
671
Tumor
N/A
672
Normal
N/A
431
Tumor
N/A
311
Tumor
N/A
432
Normal
N/A
553
Tumor
N/A
312
Normal
N/A
433
Tumor
N/A
554
Normal
N/A
313
Tumor
N/A
434
Normal
N/A
314
Normal
N/A
435
Tumor
N/A
436
Normal
N/A
557
Tumor
N/A
558
Normal
N/A
563
Tumor
N/A
443
Tumor
N/A
564
Normal
N/A
685
Tumor
N/A
444
Normal
N/A
686
Normal
N/A
445
Tumor
N/A
446
Normal
N/A
567
Tumor
N/A
447
Tumor
N/A
568
Normal
N/A
327
Tumor
N/A
448
Normal
N/A
328
Normal
N/A
571
Tumor
N/A
451
Tumor
N/A
572
Normal
N/A
331
Tumor
N/A
452
Normal
N/A
573
Tumor
N/A
211
Tumor
N/A
332
Normal
N/A
574
Normal
N/A
695
Tumor
N/A
212
Normal
N/A
696
Normal
N/A
213
Tumor
N/A
455
Tumor
N/A
697
Tumor
N/A
214
Normal
N/A
456
Normal
N/A
698
Normal
N/A
217
Tumor
N/A
218
Normal
N/A
461
Tumor
N/A
341
Tumor
N/A
462
Normal
N/A
221
Tumor
N/A
342
Normal
N/A
463
Tumor
N/A
222
Normal
N/A
343
Tumor
N/A
464
Normal
N/A
223
Tumor
N/A
344
Normal
N/A
465
Tumor
N/A
224
Normal
N/A
466
Normal
N/A
467
Tumor
N/A
468
Normal
N/A
227
Tumor
N/A
228
Normal
N/A
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
