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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.
RPS2 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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
1501.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
7369.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5808.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
5604.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
4820.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4735.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4231.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4222.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
4033.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3910.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3896.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3880.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3694.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3582.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3522.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3510.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3434.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3411.5
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3400.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3280.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3279.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3205.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3083.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3077.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3043.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3004.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2998.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2975.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2920.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2920.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2874.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2812.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2796.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2785.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2764.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2717.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2717.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2680.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2635.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2625.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2595.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2566.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2518.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2493.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2493.2
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2475.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2461.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2424.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2413.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2413.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2405.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2398.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2383.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2374.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2357.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2357.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2333.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2330.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2315.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2314.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2314.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2291.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2272.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2249.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2215.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2197.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2187.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2144.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2123.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2095.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2084.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2055.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2031.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2029.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2015.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2015.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2006.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1981.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1981.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1975.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1966.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1960.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1957.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1950.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1917.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1901.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1898.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1895.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1871.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1863.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1863.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1838.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1812.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1794.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1794.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1771.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1770.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1769.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1762.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1747.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1743.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1741.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1736.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1708.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1707.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1707.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1702.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1682.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1681.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1679.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1671.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1637.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1619.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1612.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1611.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1609.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1608.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1605.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1602.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1586.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1573.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1572.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1567.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1563.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1558.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1553.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1552.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1536.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1528.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1519.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1518.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1516.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1505.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1500.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1498.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1494.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1473.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1466.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1461.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1459.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1459.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1458.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1447.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1444.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1444.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1424.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1421.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1417.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1415.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1413.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1406.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1388.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1380.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1378.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1376.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1359.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1358.6
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1356.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1349.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1346.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1344.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1341.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1337.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1330.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1327.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1320.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1316.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1312.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1309.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1308.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1307.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1305.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1304.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1301.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1297.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1295.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1288.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1286.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1284.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1279.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1265.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1264.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1252.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1244.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1238.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1238.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1238.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1236.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1235.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1234.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1228.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1227.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1222.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1215.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1215.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1207.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1207.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1204.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1195.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1193.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1189.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1184.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1183.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1182.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1168.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1165.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1157.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1153.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1150.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1144.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1143.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1124.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1119.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1119.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1111.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1110.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1107.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1105.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1102.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1102.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1096.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1086.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1082.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1078.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1078.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1071.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1053.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1052.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1047.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1039.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1037.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1036.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1031.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1031.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1014.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1010.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1007.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1005.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1002.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
989.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
987.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
987.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
984.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
976.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
976.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
975.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
974.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
973.5
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
966.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
960.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
955.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
945.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
945.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
941.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
936.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
933.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
932.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
932.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
927.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
919.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
913.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
913.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
910.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
899.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
898.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
898.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
896.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
895.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
893.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
892.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
890.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
885.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
882.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
880.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
874.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
874.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
869.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
863.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
862.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
848.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
847.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
846.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
838.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
836.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
833.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
820.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
817.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
810.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
809.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
809.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
808.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
804.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
802.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
802.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
799.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
797.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
795.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
794.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
793.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
791.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
788.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
782.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
781.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
762.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
758.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
757.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
753.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
735.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
734.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
728.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
721.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
718.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
718.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
718.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
715.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
708.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
701.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
696.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
692.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
682.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
681.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
674.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
649.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
645.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
638.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
634.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
630.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
630.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
619.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
608.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
605.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
601.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
596.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
595.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
595.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
572.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
569.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
564.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
563.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
562.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
562.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
560.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
555.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
549.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
542.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
540.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
538.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
532.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
532.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
518.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
514.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
506.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
500.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
498.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
497.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
494.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
471.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
437.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
401.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
356.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
347.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
344.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 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.
RPS2 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1276.3
Number of samples
231
Samples
Sample
Description
pTPM
DO48682
72 years, female, NA, stage:3, dead, 120 days
4133.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
4088.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
3991.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
3761.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
3658.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
3378.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
3231.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3216.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
3209.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
3195.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
3180.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
3094.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
2986.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
2898.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
2884.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2859.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
2838.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
2797.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2752.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2736.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
2711.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
2639.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
2508.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
2494.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2488.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2450.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
2434.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
2413.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2348.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
2320.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
2311.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
2278.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
2222.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
2188.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
2151.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
2143.3
DO50844
75 years, male, NA, stage:4, alive, 300 days
2121.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
2025.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
2011.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
2007.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
2003.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
1981.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
1977.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
1956.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1927.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
1900.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1808.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
1804.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
1793.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1791.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
1782.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1778.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
1772.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
1766.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1756.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1748.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1737.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1723.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1714.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1711.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1680.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
1629.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
1602.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
1599.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
1578.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
1560.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
1560.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
1558.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
1527.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
1504.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
1496.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
1481.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
1459.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
1459.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
1458.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
1447.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
1430.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
1420.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1420.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
1397.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
1385.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
1355.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
1333.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1317.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
1312.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
1285.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
1275.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1263.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1249.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
1245.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
1223.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
1220.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
1198.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1189.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1183.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
1177.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
1169.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
1164.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
1137.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
1128.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
1127.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
1121.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1106.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1102.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
1097.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
1093.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1087.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1067.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
1063.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
1062.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
1036.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
1032.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
1026.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
1012.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
1011.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1011.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
999.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
999.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
988.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
983.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
980.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
974.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
974.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
954.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
951.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
950.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
936.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
929.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
917.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
907.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
905.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
904.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
902.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
902.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
900.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
885.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
880.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
860.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
859.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
856.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
851.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
850.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
846.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
844.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
841.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
834.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
830.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
827.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
826.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
817.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
809.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
804.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
799.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
795.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
795.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
787.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
781.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
775.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
773.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
765.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
763.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
749.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
749.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
744.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
741.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
728.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
718.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
710.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
701.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
699.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
696.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
686.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
664.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
663.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
660.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
640.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
633.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
632.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
617.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
616.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
616.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
589.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
584.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
583.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
580.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
573.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
573.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
568.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
568.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
564.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
559.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
553.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
543.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
538.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
534.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
533.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
523.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
506.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
494.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
491.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
486.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
474.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
467.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
464.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
462.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
457.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
455.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
455.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
441.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
425.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
421.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
419.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
409.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
391.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
382.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
377.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
375.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
375.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
363.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
354.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
351.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
345.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
343.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
333.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
319.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
296.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
288.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
233.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
223.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
223.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
210.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
567
Tumor
0.5
537
Tumor
0.4
327
Tumor
0.3
1021
Tumor
0.3
223
Tumor
0.3
285
Tumor
0.3
815
Tumor
0.3
727
Tumor
0.3
636
Normal
0.3
1027
Tumor
0.3
367
Tumor
0.3
113
Tumor
0.3
965
Tumor
0.2
131
Tumor
0.2
661
Tumor
0.2
851
Tumor
0.2
743
Tumor
0.2
128
Normal
0.2
393
Tumor
0.2
523
Tumor
0.2
558
Normal
0.2
983
Tumor
0.2
481
Tumor
0.2
955
Tumor
0.2
967
Tumor
0.2
937
Tumor
0.2
114
Normal
0.1
745
Tumor
0.1
497
Tumor
0.1
227
Tumor
0.1
572
Normal
0.1
195
Tumor
0.1
685
Tumor
0.1
462
Normal
0.1
135
Tumor
0.1
568
Normal
0.1
746
Normal
0.1
573
Tumor
0.1
124
Normal
0.1
517
Tumor
0.1
865
Tumor
0.1
387
Tumor
0.1
554
Normal
0.1
628
Normal
0.1
777
Tumor
0.1
353
Tumor
0.1
474
Normal
0.1
564
Normal
0.1
267
Tumor
0.1
351
Tumor
0.1
136
Normal
0.1
385
Tumor
0.1
111
Normal
0.1
443
Tumor
0.1
957
Tumor
0.1
142
Normal
0.1
697
Tumor
0.1
527
Tumor
0.1
737
Tumor
0.1
482
Normal
0.1
923
Tumor
0.1
912
Normal
0.1
436
Normal
0.1
981
Tumor
0.1
331
Tumor
0.1
728
Normal
0.1
778
Normal
0.1
951
Tumor
0.1
395
Tumor
0.1
212
Normal
0.1
535
Tumor
0.1
1026
Normal
0.1
571
Tumor
0.1
455
Tumor
0.1
471
Tumor
0.1
412
Normal
0.1
721
Tumor
0.1
356
Normal
0.1
1043
Tumor
0.1
411
Tumor
0.1
862
Normal
0.1
1015
Tumor
0.1
738
Normal
0.1
214
Normal
0.1
724
Normal
0.0
466
Normal
0.0
515
Tumor
0.0
616
Normal
0.0
211
Tumor
0.0
445
Tumor
0.0
314
Normal
0.0
448
Normal
0.0
1025
Tumor
0.0
191
Tumor
0.0
137
Tumor
0.0
467
Tumor
0.0
147
Tumor
0.0
953
Tumor
0.0
952
Normal
0.0
715
Tumor
0.0
662
Normal
0.0
525
Tumor
0.0
873
Tumor
0.0
877
Tumor
0.0
966
Normal
0.0
1028
Normal
0.0
648
Normal
0.0
358
Normal
0.0
545
Tumor
0.0
413
Tumor
0.0
518
Normal
0.0
785
Tumor
0.0
755
Tumor
0.0
864
Normal
0.0
713
Tumor
0.0
123
Tumor
0.0
145
Tumor
0.0
618
Normal
0.0
472
Normal
0.0
494
Normal
0.0
355
Tumor
0.0
533
Tumor
0.0
574
Normal
0.0
528
Normal
0.0
271
Tumor
0.0
686
Normal
0.0
196
Normal
0.0
861
Tumor
0.0
283
Tumor
0.0
284
Normal
0.0
938
Normal
0.0
786
Normal
0.0
421
Tumor
0.0
222
Normal
0.0
1022
Normal
0.0
257
Tumor
0.0
171
Tumor
0.0
286
Normal
0.0
363
Tumor
0.0
824
Normal
0.0
534
Normal
0.0
493
Tumor
0.0
422
Normal
0.0
756
Normal
0.0
526
Normal
0.0
228
Normal
0.0
432
Normal
0.0
696
Normal
0.0
1044
Normal
0.0
642
Normal
0.0
342
Normal
0.0
816
Normal
0.0
852
Normal
0.0
125
Tumor
0.0
1031
Tumor
0.0
277
Tumor
0.0
984
Normal
0.0
514
Normal
0.0
664
Normal
0.0
744
Normal
0.0
968
Normal
0.0
218
Normal
0.0
484
Normal
0.0
866
Normal
0.0
922
Normal
0.0
858
Normal
0.0
492
Normal
0.0
217
Tumor
0.0
435
Tumor
0.0
546
Normal
0.0
617
Tumor
0.0
913
Tumor
0.0
882
Normal
0.0
944
Normal
0.0
213
Tumor
0.0
878
Normal
0.0
414
Normal
0.0
132
Normal
0.0
298
Normal
0.0
817
Tumor
0.0
461
Tumor
0.0
187
Tumor
0.0
452
Normal
0.0
1014
Normal
0.0
112
Tumor
0.0
328
Normal
0.0
138
Normal
0.0
434
Normal
0.0
352
Normal
0.0
914
Normal
0.0
473
Tumor
0.0
332
Normal
0.0
723
Tumor
0.0
126
Normal
0.0
536
Normal
0.0
1016
Normal
0.0
716
Normal
0.0
221
Tumor
0.0
884
Normal
0.0
924
Normal
0.0
524
Normal
0.0
343
Tumor
0.0
392
Normal
0.0
516
Normal
-0.1
963
Tumor
-0.1
344
Normal
-0.1
915
Tumor
-0.1
433
Tumor
-0.1
943
Tumor
-0.1
975
Tumor
-0.1
1041
Tumor
-0.1
867
Tumor
-0.1
463
Tumor
-0.1
424
Normal
-0.1
1046
Normal
-0.1
447
Tumor
-0.1
666
Normal
-0.1
278
Normal
-0.1
742
Normal
-0.1
416
Normal
-0.1
813
Tumor
-0.1
868
Normal
-0.1
918
Normal
-0.1
431
Tumor
-0.1
964
Normal
-0.1
978
Normal
-0.1
563
Tumor
-0.1
881
Tumor
-0.1
464
Normal
-0.1
451
Tumor
-0.1
698
Normal
-0.1
313
Tumor
-0.1
465
Tumor
-0.1
921
Tumor
-0.1
695
Tumor
-0.1
357
Tumor
-0.1
141
Tumor
-0.1
427
Tumor
-0.1
982
Normal
-0.1
146
Normal
-0.1
394
Normal
-0.1
354
Normal
-0.1
364
Normal
-0.1
956
Normal
-0.1
185
Tumor
-0.1
958
Normal
-0.1
172
Normal
-0.1
926
Normal
-0.1
672
Normal
-0.1
428
Normal
-0.1
446
Normal
-0.1
444
Normal
-0.1
487
Tumor
-0.1
468
Normal
-0.1
477
Tumor
-0.1
488
Normal
-0.1
1042
Normal
-0.1
261
Tumor
-0.1
483
Tumor
-0.1
977
Tumor
-0.1
376
Normal
-0.1
127
Tumor
-0.1
362
Normal
-0.1
714
Normal
-0.1
874
Normal
-0.1
925
Tumor
-0.1
386
Normal
-0.1
818
Normal
-0.1
232
Normal
-0.1
883
Tumor
-0.1
553
Tumor
-0.1
396
Normal
-0.1
231
Tumor
-0.1
162
Normal
-0.1
857
Tumor
-0.1
1032
Normal
-0.1
224
Normal
-0.1
491
Tumor
-0.1
312
Normal
-0.1
976
Normal
-0.1
916
Normal
-0.1
425
Tumor
-0.1
823
Tumor
-0.1
188
Normal
-0.1
671
Tumor
-0.1
262
Normal
-0.1
513
Tumor
-0.1
365
Tumor
-0.1
186
Normal
-0.1
426
Normal
-0.1
538
Normal
-0.1
368
Normal
-0.1
722
Normal
-0.2
272
Normal
-0.2
391
Tumor
-0.2
148
Normal
-0.2
1013
Tumor
-0.2
954
Normal
-0.2
423
Tumor
-0.2
456
Normal
-0.2
161
Tumor
-0.2
478
Normal
-0.2
814
Normal
-0.2
375
Tumor
-0.2
647
Tumor
-0.2
388
Normal
-0.2
297
Tumor
-0.2
665
Tumor
-0.2
615
Tumor
-0.2
415
Tumor
-0.2
258
Normal
-0.2
635
Tumor
-0.2
341
Tumor
-0.2
917
Tumor
-0.2
192
Normal
-0.2
384
Normal
-0.2
366
Normal
-0.2
311
Tumor
-0.2
663
Tumor
-0.2
361
Tumor
-0.2
268
Normal
-0.2
911
Tumor
-0.2
741
Tumor
-0.3
498
Normal
-0.3
641
Tumor
-0.3
863
Tumor
-0.3
1045
Tumor
-0.3
627
Tumor
-0.3
383
Tumor
-0.4
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
