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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.
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 TPM
3313.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
10907.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
10065.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
9568.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
9138.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
8991.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
8495.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
8264.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
8134.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
8104.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
7983.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
7531.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
7510.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
7286.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
6766.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
6593.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
6579.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
6545.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
6457.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
6134.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
6057.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
5966.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
5834.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
5833.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
5815.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5813.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
5776.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
5765.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
5632.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
5595.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
5542.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
5538.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
5507.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
5489.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
5429.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
5423.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
5416.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
5372.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
5332.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
5292.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
5152.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
5135.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
5098.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
5059.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
5013.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
4984.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
4979.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4937.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
4924.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
4881.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
4868.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
4813.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
4798.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4783.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
4762.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
4713.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
4697.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
4671.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
4646.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
4633.0
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
4609.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
4587.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4517.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4516.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
4510.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
4480.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
4468.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
4429.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
4425.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
4398.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
4378.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
4365.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
4360.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
4351.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
4341.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4330.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4325.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
4259.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
4211.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4206.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
4154.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
4122.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4095.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
4082.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
4028.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3998.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3984.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
3961.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3945.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3932.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
3902.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3897.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
3881.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
3879.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
3856.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
3852.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
3849.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
3825.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3815.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
3813.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
3811.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3795.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
3793.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
3785.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3762.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3758.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
3746.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3735.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
3732.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
3706.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
3701.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3669.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
3667.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
3659.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3658.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
3652.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3590.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
3567.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
3543.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
3542.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3527.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
3503.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
3496.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3475.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
3464.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
3462.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3456.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
3438.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3415.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
3415.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
3414.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3396.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3391.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3381.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
3363.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3346.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3346.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
3326.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
3324.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
3324.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
3316.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3310.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
3303.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
3294.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3294.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3269.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
3250.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3248.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
3215.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
3203.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
3185.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
3171.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
3162.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3145.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
3144.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
3140.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
3131.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
3118.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3114.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
3110.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3085.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3075.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
3069.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
3055.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3052.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
3044.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3040.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
3037.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3032.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3015.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3014.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
3013.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
3009.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3008.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
3006.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
3000.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2997.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2991.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2989.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2982.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2967.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2957.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2954.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
2953.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2953.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
2943.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2941.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2935.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2928.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2926.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2916.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2876.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2873.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
2868.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2867.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2861.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
2860.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2855.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2853.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2850.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2841.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2841.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2836.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2831.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
2829.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2766.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2763.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2749.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2741.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2734.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2729.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2725.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2722.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2720.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2697.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2691.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2680.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2674.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
2672.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2661.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2647.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2644.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
2630.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2622.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2615.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2614.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2607.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2605.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2604.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2589.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2582.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2569.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
2569.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
2560.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
2547.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2545.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2541.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2530.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2528.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2527.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2520.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2519.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2518.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2502.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2501.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
2499.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2491.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2490.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2482.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2478.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2465.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2455.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2442.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2436.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
2425.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2425.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2414.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2405.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2377.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2357.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2344.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2336.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2334.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2329.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2329.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2324.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2320.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2317.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2310.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2291.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2267.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2266.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2242.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
2237.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2229.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2222.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2222.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2215.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2214.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2214.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2214.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
2184.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
2183.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2182.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2179.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2176.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2164.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2159.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2159.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2142.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2140.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2119.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2107.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2104.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2099.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2096.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2093.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2084.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2056.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2050.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2028.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2005.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
2001.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1994.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1990.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1975.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1961.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1951.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1946.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1934.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1932.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1931.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1924.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1903.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1896.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1874.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1866.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1862.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1847.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1821.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1820.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1804.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1800.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1785.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1773.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1766.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1754.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1741.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1738.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1712.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1706.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1702.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1695.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1684.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1667.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1649.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1641.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1606.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1581.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1567.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1545.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1544.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1532.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1516.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1449.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1445.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1441.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1430.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1424.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1401.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1399.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1395.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1381.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1361.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1351.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1348.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1198.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1021.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1018.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1009.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
909.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
799.1
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 TPM
2508.2
Number of samples
231
Samples
Sample
Description
TPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
10831.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
9910.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
7772.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
6159.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
5893.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
5578.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
5203.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
5188.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
4979.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
4970.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
4941.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4639.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
4510.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
4469.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
4413.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
4313.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
4277.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
4191.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
4138.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
4105.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
4103.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
4090.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3994.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
3956.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
3869.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
3863.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
3838.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
3825.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
3814.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
3779.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
3739.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
3729.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
3661.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
3652.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
3625.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
3599.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
3592.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
3560.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
3542.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
3513.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
3478.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3478.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
3467.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
3413.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
3413.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
3407.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
3376.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
3346.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
3327.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
3307.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
3269.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
3245.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
3172.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
3166.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
3163.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3161.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3152.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3123.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
3108.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
3106.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
3091.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
3056.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
3037.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3027.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
2989.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
2981.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
2963.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
2958.6
DO45205
67 years, female, NA, stage:2, dead, 90 days
2947.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2936.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
2923.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
2830.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
2823.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
2775.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
2773.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
2765.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2762.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2757.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2708.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
2689.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
2677.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
2667.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
2666.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
2664.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
2646.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
2595.3
DO50825
70 years, male, NA, stage:2, alive, 390 days
2579.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2548.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
2540.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
2512.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
2505.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
2480.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
2478.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
2476.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
2466.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2427.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
2419.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2412.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
2410.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2409.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
2389.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
2386.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
2384.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2381.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
2379.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
2368.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2363.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2359.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2356.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2353.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
2352.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2348.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2339.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2288.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
2266.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2258.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
2258.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2226.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
2226.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
2216.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
2203.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2194.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
2180.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
2172.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
2155.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2152.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
2138.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
2132.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2098.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
2095.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
2072.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
2060.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2054.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2031.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
2019.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
2014.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
1998.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
1993.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
1992.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
1989.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
1981.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
1981.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
1968.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
1963.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1958.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
1932.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
1914.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
1913.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
1898.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
1897.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
1896.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
1849.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
1837.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1825.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1821.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1814.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
1801.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1797.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
1766.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
1763.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
1759.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
1757.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
1750.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
1747.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
1732.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1725.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
1710.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1706.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1699.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
1652.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
1649.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
1648.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1642.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
1640.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
1638.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1637.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
1628.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
1601.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
1579.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1572.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
1544.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
1535.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
1528.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
1506.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
1506.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1496.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1475.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
1464.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
1438.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1436.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
1399.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
1388.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1375.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1375.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1358.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1356.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
1355.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1338.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1329.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
1328.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
1313.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
1307.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
1296.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
1277.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
1265.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
1264.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1258.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
1249.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
1246.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
1209.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1207.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1174.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
1125.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
1122.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1114.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1091.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1089.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1084.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
1074.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1019.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1008.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
900.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
893.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
834.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
829.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
810.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
633.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
537.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
512.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
475.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
409.9
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
