We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS21 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
1729.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
12387.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
10631.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
7439.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
6846.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
6134.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
5939.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
5711.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
5658.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5179.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5020.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4788.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4786.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
4748.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4744.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4401.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4226.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4212.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
4205.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
4156.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
4102.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
4078.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3923.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3917.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3843.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3827.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3761.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3740.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
3705.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3664.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
3631.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3457.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3404.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3308.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3289.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3262.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3233.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
3225.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3180.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3169.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3168.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3123.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3073.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3047.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3034.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2950.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2945.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2945.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2920.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2817.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2761.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2744.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2701.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2664.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2655.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2632.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2624.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2583.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2582.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2581.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2535.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2514.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2502.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2481.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2480.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2475.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2469.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2427.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2412.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2386.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2345.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2321.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2321.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2302.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2268.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
2230.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2220.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2215.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
2214.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2191.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2170.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2165.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2163.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2149.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2134.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2109.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2086.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2062.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2046.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2045.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2033.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2030.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2017.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2005.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1997.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1994.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1991.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1977.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1975.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1952.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1944.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1919.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1892.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1888.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1886.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1846.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1838.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1821.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1792.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1789.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1782.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1781.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1754.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1745.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1739.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1723.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1721.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1720.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1710.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1686.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1686.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1684.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1674.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1674.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1669.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1662.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1662.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1660.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1657.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1635.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1618.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1617.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1616.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1591.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1589.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1584.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1575.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1568.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1554.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1548.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1546.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1543.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1541.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1540.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1537.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1526.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1515.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1512.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1507.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1504.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1496.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1495.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1485.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1482.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1466.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1465.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1454.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1447.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1436.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1429.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1414.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1412.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1409.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1394.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1387.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1378.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1378.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1372.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1370.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1366.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1356.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1354.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1351.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1340.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1337.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1336.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1336.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1329.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1328.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1319.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1314.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1305.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1302.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1286.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1285.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1284.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1281.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1275.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1269.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1268.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1268.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1268.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1257.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1257.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1256.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1254.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1252.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1250.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1242.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1235.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1227.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1224.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1215.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1212.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1210.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1207.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1201.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1200.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1197.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1185.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1180.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1177.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1170.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1165.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1161.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1161.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1159.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1157.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1150.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1147.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1146.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1145.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1141.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1141.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1136.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1130.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1129.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1128.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1124.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1115.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1112.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1108.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1107.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1102.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1102.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1092.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1090.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1087.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1085.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1083.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1069.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1067.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1067.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1067.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1066.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1063.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1053.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1053.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1048.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1047.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1047.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1044.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1037.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1032.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1021.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1021.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1014.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1012.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1011.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1011.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1007.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1002.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1002.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
999.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
998.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
995.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
985.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
983.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
978.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
976.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
975.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
965.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
963.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
960.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
959.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
956.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
956.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
950.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
945.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
937.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
937.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
927.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
926.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
921.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
921.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
921.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
919.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
912.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
910.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
910.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
894.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
888.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
879.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
874.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
870.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
866.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
865.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
860.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
860.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
853.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
851.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
843.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
842.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
831.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
827.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
825.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
825.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
821.3
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
820.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
812.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
805.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
803.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
803.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
797.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
787.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
786.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
780.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
775.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
772.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
762.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
758.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
749.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
742.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
736.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
728.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
725.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
725.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
707.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
694.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
689.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
689.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
680.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
675.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
674.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
673.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
670.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
665.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
654.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
653.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
652.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
633.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
625.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
623.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
623.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
621.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
612.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
612.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
597.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
581.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
579.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
573.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
552.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
549.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
548.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
539.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
528.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
525.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
504.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
502.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
485.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
482.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
474.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 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.
RPS21 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
988.6
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
5997.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
3862.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3244.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
2745.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
2745.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
2728.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
2696.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
2672.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
2606.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2535.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2526.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
2497.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
2464.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2462.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
2346.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
2197.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
2192.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
2169.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
2115.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
2095.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
2095.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
2069.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
2040.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
2036.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
1916.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
1912.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
1855.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1780.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
1764.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1691.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
1558.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1515.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
1479.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
1478.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
1477.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1467.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
1461.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
1456.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
1449.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
1433.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1427.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1399.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
1398.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
1386.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
1378.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1354.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
1350.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
1342.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
1316.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
1312.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1296.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
1265.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
1261.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
1260.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1248.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1246.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
1245.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1237.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
1202.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
1198.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
1190.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
1147.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
1143.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
1138.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1125.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
1119.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
1113.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1113.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
1108.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1098.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
1075.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
1018.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1017.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1009.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
1002.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
997.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
980.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
978.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
966.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
956.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
952.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
936.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
927.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
924.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
923.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
917.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
917.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
910.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
905.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
905.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
898.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
897.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
894.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
894.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
889.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
884.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
884.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
880.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
875.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
857.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
854.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
843.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
843.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
833.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
827.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
827.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
815.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
809.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
807.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
803.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
796.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
795.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
790.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
788.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
788.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
784.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
778.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
757.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
752.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
752.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
750.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
750.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
744.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
737.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
736.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
727.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
724.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
721.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
718.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
717.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
714.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
708.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
707.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
693.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
692.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
688.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
688.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
686.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
680.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
677.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
673.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
665.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
665.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
652.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
651.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
650.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
648.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
633.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
618.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
617.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
616.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
615.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
615.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
614.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
608.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
604.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
604.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
590.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
588.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
580.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
578.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
577.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
577.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
576.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
575.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
572.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
559.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
558.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
556.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
556.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
552.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
550.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
545.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
545.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
535.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
534.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
531.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
527.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
525.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
519.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
518.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
509.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
508.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
500.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
497.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
496.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
496.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
489.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
489.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
489.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
483.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
458.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
457.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
453.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
447.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
445.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
443.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
434.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
427.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
420.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
420.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
418.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
416.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
416.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
412.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
412.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
408.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
406.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
402.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
400.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
395.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
388.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
381.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
376.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
371.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
359.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
355.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
354.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
350.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
343.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
333.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
330.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
304.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
282.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
266.5
DO23551
73 years, male, NA, stage:3, dead, 150 days
247.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
244.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
242.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
238.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
222.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
180.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
327
Tumor
0.5
537
Tumor
0.5
557
Tumor
0.5
981
Tumor
0.5
497
Tumor
0.5
965
Tumor
0.4
527
Tumor
0.4
525
Tumor
0.4
516
Normal
0.4
523
Tumor
0.4
937
Tumor
0.4
955
Tumor
0.3
473
Tumor
0.3
285
Tumor
0.3
698
Normal
0.3
353
Tumor
0.3
957
Tumor
0.3
524
Normal
0.3
545
Tumor
0.3
515
Tumor
0.3
518
Normal
0.3
964
Normal
0.3
494
Normal
0.3
982
Normal
0.3
492
Normal
0.3
526
Normal
0.3
553
Tumor
0.3
484
Normal
0.3
728
Normal
0.2
918
Normal
0.2
968
Normal
0.2
951
Tumor
0.2
944
Normal
0.2
958
Normal
0.2
131
Tumor
0.2
1025
Tumor
0.2
1043
Tumor
0.2
514
Normal
0.2
685
Tumor
0.2
358
Normal
0.2
533
Tumor
0.2
983
Tumor
0.2
925
Tumor
0.2
535
Tumor
0.2
488
Normal
0.2
1021
Tumor
0.2
938
Normal
0.2
727
Tumor
0.2
534
Normal
0.2
546
Normal
0.2
966
Normal
0.2
745
Tumor
0.2
481
Tumor
0.2
1026
Normal
0.2
393
Tumor
0.2
412
Normal
0.2
1027
Tumor
0.2
926
Normal
0.2
976
Normal
0.2
191
Tumor
0.2
1042
Normal
0.2
697
Tumor
0.2
696
Normal
0.2
851
Tumor
0.1
1014
Normal
0.1
448
Normal
0.1
355
Tumor
0.1
777
Tumor
0.1
436
Normal
0.1
472
Normal
0.1
536
Normal
0.1
865
Tumor
0.1
483
Tumor
0.1
352
Normal
0.1
967
Tumor
0.1
113
Tumor
0.1
785
Tumor
0.1
392
Normal
0.1
1032
Normal
0.1
917
Tumor
0.1
212
Normal
0.1
817
Tumor
0.1
912
Normal
0.1
956
Normal
0.1
135
Tumor
0.1
387
Tumor
0.1
513
Tumor
0.1
1016
Normal
0.1
954
Normal
0.1
478
Normal
0.1
943
Tumor
0.1
554
Normal
0.1
1028
Normal
0.1
778
Normal
0.1
471
Tumor
0.1
314
Normal
0.1
218
Normal
0.1
332
Normal
0.1
923
Tumor
0.1
517
Tumor
0.1
493
Tumor
0.1
924
Normal
0.1
953
Tumor
0.1
952
Normal
0.1
385
Tumor
0.1
223
Tumor
0.1
528
Normal
0.1
286
Normal
0.1
474
Normal
0.1
538
Normal
0.1
756
Normal
0.1
686
Normal
0.1
716
Normal
0.1
344
Normal
0.1
257
Tumor
0.1
978
Normal
0.1
196
Normal
0.1
567
Tumor
0.1
873
Tumor
0.1
394
Normal
0.1
464
Normal
0.0
312
Normal
0.0
1022
Normal
0.0
922
Normal
0.0
221
Tumor
0.0
963
Tumor
0.0
714
Normal
0.0
467
Tumor
0.0
395
Tumor
0.0
342
Normal
0.0
142
Normal
0.0
498
Normal
0.0
426
Normal
0.0
823
Tumor
0.0
1044
Normal
0.0
363
Tumor
0.0
913
Tumor
0.0
432
Normal
0.0
738
Normal
0.0
411
Tumor
0.0
573
Tumor
0.0
477
Tumor
0.0
882
Normal
0.0
482
Normal
0.0
975
Tumor
0.0
354
Normal
0.0
815
Tumor
0.0
331
Tumor
0.0
214
Normal
0.0
1015
Tumor
0.0
661
Tumor
0.0
227
Tumor
0.0
386
Normal
0.0
721
Tumor
0.0
462
Normal
0.0
713
Tumor
0.0
388
Normal
0.0
416
Normal
0.0
341
Tumor
0.0
715
Tumor
0.0
224
Normal
0.0
916
Normal
0.0
866
Normal
0.0
137
Tumor
0.0
1031
Tumor
0.0
298
Normal
0.0
192
Normal
0.0
195
Tumor
0.0
984
Normal
0.0
755
Tumor
0.0
222
Normal
0.0
376
Normal
0.0
466
Normal
0.0
737
Tumor
0.0
446
Normal
0.0
861
Tumor
0.0
356
Normal
0.0
915
Tumor
0.0
443
Tumor
0.0
864
Normal
0.0
413
Tumor
0.0
278
Normal
0.0
421
Tumor
0.0
447
Tumor
0.0
883
Tumor
0.0
211
Tumor
0.0
364
Normal
0.0
396
Normal
0.0
568
Normal
0.0
868
Normal
0.0
878
Normal
0.0
786
Normal
-0.1
415
Tumor
-0.1
857
Tumor
-0.1
311
Tumor
-0.1
213
Tumor
-0.1
351
Tumor
-0.1
722
Normal
-0.1
558
Normal
-0.1
456
Normal
-0.1
422
Normal
-0.1
433
Tumor
-0.1
444
Normal
-0.1
434
Normal
-0.1
746
Normal
-0.1
487
Tumor
-0.1
914
Normal
-0.1
723
Tumor
-0.1
862
Normal
-0.1
228
Normal
-0.1
128
Normal
-0.1
867
Tumor
-0.1
414
Normal
-0.1
816
Normal
-0.1
617
Tumor
-0.1
111
Normal
-0.1
367
Tumor
-0.1
431
Tumor
-0.1
455
Tumor
-0.1
186
Normal
-0.1
884
Normal
-0.1
148
Normal
-0.1
343
Tumor
-0.1
1041
Tumor
-0.1
742
Normal
-0.1
824
Normal
-0.1
232
Normal
-0.1
468
Normal
-0.1
136
Normal
-0.1
695
Tumor
-0.1
217
Tumor
-0.1
572
Normal
-0.1
921
Tumor
-0.1
636
Normal
-0.1
672
Normal
-0.1
1046
Normal
-0.1
874
Normal
-0.1
141
Tumor
-0.1
126
Normal
-0.1
1045
Tumor
-0.1
852
Normal
-0.1
461
Tumor
-0.1
424
Normal
-0.1
357
Tumor
-0.1
435
Tumor
-0.1
283
Tumor
-0.1
328
Normal
-0.1
114
Normal
-0.1
172
Normal
-0.1
445
Tumor
-0.1
616
Normal
-0.1
267
Tumor
-0.2
391
Tumor
-0.2
162
Normal
-0.2
858
Normal
-0.2
132
Normal
-0.2
187
Tumor
-0.2
814
Normal
-0.2
145
Tumor
-0.2
465
Tumor
-0.2
146
Normal
-0.2
564
Normal
-0.2
188
Normal
-0.2
818
Normal
-0.2
138
Normal
-0.2
451
Tumor
-0.2
452
Normal
-0.2
362
Normal
-0.2
262
Normal
-0.2
881
Tumor
-0.2
425
Tumor
-0.2
258
Normal
-0.2
863
Tumor
-0.2
1013
Tumor
-0.2
427
Tumor
-0.2
463
Tumor
-0.2
813
Tumor
-0.2
428
Normal
-0.2
261
Tumor
-0.2
615
Tumor
-0.2
384
Normal
-0.2
744
Normal
-0.2
662
Normal
-0.2
724
Normal
-0.2
423
Tumor
-0.2
147
Tumor
-0.2
977
Tumor
-0.2
618
Normal
-0.2
284
Normal
-0.2
272
Normal
-0.2
648
Normal
-0.2
664
Normal
-0.2
628
Normal
-0.3
297
Tumor
-0.3
491
Tumor
-0.3
563
Tumor
-0.3
365
Tumor
-0.3
268
Normal
-0.3
574
Normal
-0.3
185
Tumor
-0.3
231
Tumor
-0.3
375
Tumor
-0.3
666
Normal
-0.3
911
Tumor
-0.3
366
Normal
-0.3
277
Tumor
-0.3
313
Tumor
-0.3
743
Tumor
-0.3
383
Tumor
-0.4
642
Normal
-0.4
647
Tumor
-0.4
124
Normal
-0.4
571
Tumor
-0.4
361
Tumor
-0.4
171
Tumor
-0.4
663
Tumor
-0.4
665
Tumor
-0.4
271
Tumor
-0.4
127
Tumor
-0.4
877
Tumor
-0.4
112
Tumor
-0.5
627
Tumor
-0.5
123
Tumor
-0.5
741
Tumor
-0.5
671
Tumor
-0.5
125
Tumor
-0.5
641
Tumor
-0.5
161
Tumor
-0.5
635
Tumor
-0.6
368
Normal
-0.6
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.