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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.
RPL19 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
1886.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
6161.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
5881.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5360.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5186.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4946.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4941.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4833.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
4832.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4456.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4208.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
4070.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3799.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3781.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3731.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3689.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3689.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3674.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3570.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3557.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3433.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3416.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3402.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3394.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3392.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3383.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3367.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3352.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3352.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3328.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3306.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3271.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
3198.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3081.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3076.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3069.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3054.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3051.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3047.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
3045.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3030.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2991.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2938.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2923.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2923.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2914.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2902.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2890.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2846.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2842.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2829.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2812.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2810.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2789.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2772.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2771.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2752.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2734.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2732.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2731.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2714.5
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2697.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2694.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2687.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2644.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2632.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2620.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2557.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2506.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2482.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2458.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2454.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2453.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2429.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2428.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2422.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2408.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2396.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2385.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2376.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2371.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2350.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2329.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2325.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2305.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2299.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2292.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2276.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2272.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2253.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2251.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2242.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2234.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2211.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2201.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2201.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2197.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2181.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2181.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2161.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2153.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2150.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2148.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2145.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2087.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2081.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2068.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2061.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2060.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2055.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2050.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2010.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2002.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1978.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1978.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1969.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1964.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1955.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1947.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1936.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1936.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1936.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1930.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1926.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1924.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1920.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1916.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1915.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1906.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1895.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1894.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1889.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1887.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1881.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1866.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1858.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1858.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1855.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1851.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1841.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1838.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1837.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1834.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1826.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1822.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1822.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1817.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1817.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1810.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1806.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1798.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1792.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1787.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1773.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1766.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1758.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1758.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1756.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1755.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1752.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1745.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1744.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1743.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1741.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1725.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1717.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1715.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1713.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1704.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1703.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1695.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1695.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1683.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1682.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1674.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1672.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1672.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1669.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1666.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1660.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1658.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1637.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1635.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1631.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1631.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1630.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1627.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1617.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1617.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1617.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1609.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1606.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1603.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1602.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1600.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1593.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1592.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1590.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1590.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1587.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1587.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1583.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1580.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1572.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1563.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1559.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1555.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1553.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1547.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1546.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1533.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1527.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1521.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1520.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1504.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1498.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1497.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1497.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1495.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1494.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1492.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1491.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1491.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1490.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1490.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1486.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1469.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1467.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1465.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1461.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1449.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1446.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1438.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1431.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1426.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1426.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1421.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1419.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1416.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1407.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1401.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1400.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1398.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1396.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1395.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1395.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1393.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1390.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1381.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1381.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1375.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1375.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1367.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1366.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1364.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1359.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1353.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1352.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1348.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1334.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1330.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1330.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1324.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1317.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1315.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1299.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1297.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1296.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1296.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1294.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1292.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1289.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1289.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1285.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1274.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1273.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1272.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1263.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1257.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1255.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1255.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1255.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1254.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1246.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1229.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1229.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1225.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1223.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1221.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1220.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1216.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1214.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1210.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1204.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1197.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1195.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1191.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1187.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1186.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1185.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1183.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1181.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1174.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1166.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1156.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1156.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1155.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1151.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1148.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1146.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1146.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1146.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1146.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1144.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1135.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1134.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1123.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1111.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1108.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1102.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1091.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1091.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1059.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1056.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1032.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1029.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1016.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1015.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1009.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1008.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1002.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
992.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
989.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
985.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
984.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
966.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
962.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
958.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
952.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
952.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
950.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
948.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
941.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
940.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
940.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
935.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
935.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
933.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
923.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
890.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
887.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
849.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
847.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
839.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
819.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
797.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
778.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
758.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
755.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
736.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
730.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
665.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 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.
RPL19 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
2242.1
Number of samples
231
Samples
Sample
Description
pTPM
DO50814
83 years, male, NA, stage:3, alive, 420 days
5953.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
4935.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
4748.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
4634.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
4587.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
4561.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
4492.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
4474.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
4382.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
4374.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
4315.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
4259.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4184.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
4085.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
4077.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
3983.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
3821.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
3764.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3752.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
3738.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
3731.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3720.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3647.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
3615.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
3611.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3607.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
3583.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
3546.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
3514.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
3504.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
3460.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
3429.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3392.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
3360.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
3335.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
3303.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
3275.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
3251.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
3234.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
3189.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
3122.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
3120.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
3113.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
3092.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
2997.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
2974.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
2937.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
2936.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
2920.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2913.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
2878.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
2846.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
2835.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
2775.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
2763.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2740.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2735.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2678.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
2672.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2665.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2652.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
2639.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
2636.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
2634.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2630.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
2618.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2586.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
2563.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
2559.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2558.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
2549.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
2530.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
2506.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
2463.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
2463.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
2460.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
2457.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
2449.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
2447.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
2442.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
2417.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
2415.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2403.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
2392.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
2374.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
2371.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
2340.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
2331.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
2328.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
2323.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2310.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
2280.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
2268.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
2253.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
2251.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
2238.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2229.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
2228.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2223.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
2220.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
2200.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2196.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2186.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
2184.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
2171.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
2156.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
2153.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
2144.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2140.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
2105.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2104.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
2102.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
2086.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
2083.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
2078.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
2057.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
2045.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
2038.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
2033.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
2019.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
1999.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1998.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
1992.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
1989.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1979.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
1976.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1963.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1957.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1944.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
1927.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
1918.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
1915.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
1902.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
1900.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
1892.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1885.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
1884.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
1878.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
1863.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
1827.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
1826.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
1818.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
1814.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1809.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
1780.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1752.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
1747.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
1738.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
1729.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
1729.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
1725.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
1719.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1708.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
1699.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1692.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
1691.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
1677.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1673.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
1658.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
1646.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
1639.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1639.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1627.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1626.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1623.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1613.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
1608.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1595.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
1590.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
1590.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
1582.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1574.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
1571.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
1569.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1551.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
1541.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
1537.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1523.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
1519.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1506.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
1478.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1476.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1468.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
1449.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
1434.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
1398.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1383.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1379.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
1376.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1365.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1363.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1356.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
1353.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
1323.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1320.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
1318.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
1309.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1298.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1287.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
1282.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1267.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
1249.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1243.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
1239.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1232.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1180.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
1170.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1170.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
1152.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
1151.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1144.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
1124.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
1110.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
1107.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
1093.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
1069.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
1053.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1042.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1041.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
998.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
993.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
977.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
951.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
933.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
895.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
859.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
796.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
774.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
718.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
713.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
691.3
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
1021
Tumor
0.8
557
Tumor
0.7
537
Tumor
0.6
327
Tumor
0.6
1025
Tumor
0.5
685
Tumor
0.5
113
Tumor
0.5
497
Tumor
0.5
523
Tumor
0.5
1031
Tumor
0.4
964
Normal
0.4
524
Normal
0.4
527
Tumor
0.4
724
Normal
0.4
851
Tumor
0.4
353
Tumor
0.4
1027
Tumor
0.4
1032
Normal
0.4
545
Tumor
0.4
367
Tumor
0.4
448
Normal
0.4
546
Normal
0.4
131
Tumor
0.4
285
Tumor
0.4
481
Tumor
0.4
488
Normal
0.4
983
Tumor
0.4
261
Tumor
0.4
267
Tumor
0.4
223
Tumor
0.4
636
Normal
0.4
756
Normal
0.4
965
Tumor
0.4
1042
Normal
0.4
535
Tumor
0.3
525
Tumor
0.3
558
Normal
0.3
331
Tumor
0.3
926
Normal
0.3
515
Tumor
0.3
824
Normal
0.3
514
Normal
0.3
858
Normal
0.3
978
Normal
0.3
536
Normal
0.3
395
Tumor
0.3
494
Normal
0.3
727
Tumor
0.3
517
Tumor
0.3
912
Normal
0.3
981
Tumor
0.3
1014
Normal
0.3
852
Normal
0.3
393
Tumor
0.3
944
Normal
0.3
661
Tumor
0.3
696
Normal
0.3
554
Normal
0.3
516
Normal
0.3
142
Normal
0.3
1026
Normal
0.3
937
Tumor
0.3
212
Normal
0.3
518
Normal
0.3
443
Tumor
0.3
955
Tumor
0.3
923
Tumor
0.3
358
Normal
0.3
484
Normal
0.3
984
Normal
0.3
777
Tumor
0.3
864
Normal
0.3
918
Normal
0.3
232
Normal
0.3
982
Normal
0.3
865
Tumor
0.3
526
Normal
0.3
818
Normal
0.3
172
Normal
0.3
922
Normal
0.3
553
Tumor
0.3
873
Tumor
0.3
1028
Normal
0.3
186
Normal
0.3
355
Tumor
0.3
572
Normal
0.3
136
Normal
0.3
493
Tumor
0.3
472
Normal
0.3
447
Tumor
0.3
513
Tumor
0.3
1046
Normal
0.2
568
Normal
0.2
478
Normal
0.2
778
Normal
0.2
1022
Normal
0.2
356
Normal
0.2
534
Normal
0.2
387
Tumor
0.2
817
Tumor
0.2
715
Tumor
0.2
228
Normal
0.2
284
Normal
0.2
162
Normal
0.2
473
Tumor
0.2
538
Normal
0.2
815
Tumor
0.2
916
Normal
0.2
966
Normal
0.2
866
Normal
0.2
1044
Normal
0.2
958
Normal
0.2
482
Normal
0.2
938
Normal
0.2
498
Normal
0.2
314
Normal
0.2
135
Tumor
0.2
148
Normal
0.2
412
Normal
0.2
957
Tumor
0.2
745
Tumor
0.2
123
Tumor
0.2
446
Normal
0.2
882
Normal
0.2
128
Normal
0.2
492
Normal
0.2
533
Tumor
0.2
332
Normal
0.2
528
Normal
0.2
616
Normal
0.2
218
Normal
0.2
567
Tumor
0.2
925
Tumor
0.2
196
Normal
0.2
697
Tumor
0.2
665
Tumor
0.2
785
Tumor
0.2
968
Normal
0.2
628
Normal
0.2
951
Tumor
0.2
722
Normal
0.2
432
Normal
0.2
352
Normal
0.2
114
Normal
0.2
467
Tumor
0.2
392
Normal
0.2
385
Tumor
0.2
351
Tumor
0.2
672
Normal
0.2
953
Tumor
0.2
728
Normal
0.2
364
Normal
0.2
716
Normal
0.2
431
Tumor
0.2
913
Tumor
0.2
743
Tumor
0.2
145
Tumor
0.2
462
Normal
0.2
857
Tumor
0.2
755
Tumor
0.2
573
Tumor
0.2
956
Normal
0.2
1043
Tumor
0.2
474
Normal
0.2
187
Tumor
0.2
1016
Normal
0.2
976
Normal
0.2
686
Normal
0.2
224
Normal
0.1
171
Tumor
0.1
483
Tumor
0.1
963
Tumor
0.1
257
Tumor
0.1
413
Tumor
0.1
952
Normal
0.1
286
Normal
0.1
354
Normal
0.1
185
Tumor
0.1
376
Normal
0.1
451
Tumor
0.1
415
Tumor
0.1
414
Normal
0.1
231
Tumor
0.1
738
Normal
0.1
344
Normal
0.1
662
Normal
0.1
723
Tumor
0.1
342
Normal
0.1
878
Normal
0.1
487
Tumor
0.1
452
Normal
0.1
147
Tumor
0.1
698
Normal
0.1
471
Tumor
0.1
664
Normal
0.1
954
Normal
0.1
713
Tumor
0.1
427
Tumor
0.1
1041
Tumor
0.1
714
Normal
0.1
862
Normal
0.1
363
Tumor
0.1
434
Normal
0.1
426
Normal
0.1
222
Normal
0.1
188
Normal
0.1
455
Tumor
0.1
411
Tumor
0.1
211
Tumor
0.1
312
Normal
0.1
328
Normal
0.1
571
Tumor
0.1
648
Normal
0.1
464
Normal
0.1
436
Normal
0.1
884
Normal
0.1
221
Tumor
0.1
258
Normal
0.1
124
Normal
0.1
127
Tumor
0.1
883
Tumor
0.1
967
Tumor
0.1
388
Normal
0.1
721
Tumor
0.1
466
Normal
0.1
823
Tumor
0.1
428
Normal
0.1
695
Tumor
0.1
416
Normal
0.1
195
Tumor
0.1
394
Normal
0.1
191
Tumor
0.1
617
Tumor
0.1
111
Normal
0.1
861
Tumor
0.1
112
Tumor
0.1
615
Tumor
0.1
126
Normal
0.1
1015
Tumor
0.1
746
Normal
0.1
867
Tumor
0.1
924
Normal
0.1
214
Normal
0.1
357
Tumor
0.1
881
Tumor
0.1
786
Normal
0.1
742
Normal
0.1
618
Normal
0.1
563
Tumor
0.0
138
Normal
0.0
375
Tumor
0.0
217
Tumor
0.0
564
Normal
0.0
132
Normal
0.0
227
Tumor
0.0
298
Normal
0.0
278
Normal
0.0
424
Normal
0.0
161
Tumor
0.0
917
Tumor
0.0
137
Tumor
0.0
737
Tumor
0.0
975
Tumor
0.0
468
Normal
0.0
422
Normal
0.0
642
Normal
0.0
362
Normal
0.0
574
Normal
0.0
444
Normal
0.0
272
Normal
0.0
141
Tumor
0.0
921
Tumor
0.0
1013
Tumor
0.0
396
Normal
0.0
666
Normal
0.0
386
Normal
0.0
271
Tumor
0.0
647
Tumor
0.0
277
Tumor
0.0
423
Tumor
0.0
874
Normal
0.0
671
Tumor
0.0
343
Tumor
0.0
311
Tumor
0.0
816
Normal
0.0
297
Tumor
0.0
435
Tumor
0.0
366
Normal
0.0
477
Tumor
0.0
341
Tumor
0.0
915
Tumor
0.0
433
Tumor
0.0
863
Tumor
0.0
456
Normal
0.0
192
Normal
0.0
262
Normal
0.0
421
Tumor
0.0
1045
Tumor
0.0
977
Tumor
0.0
384
Normal
0.0
445
Tumor
-0.1
425
Tumor
-0.1
213
Tumor
-0.1
268
Normal
-0.1
283
Tumor
-0.1
943
Tumor
-0.1
465
Tumor
-0.1
391
Tumor
-0.1
635
Tumor
-0.1
368
Normal
-0.1
663
Tumor
-0.1
463
Tumor
-0.1
877
Tumor
-0.1
146
Normal
-0.1
814
Normal
-0.1
461
Tumor
-0.1
641
Tumor
-0.1
744
Normal
-0.1
365
Tumor
-0.1
361
Tumor
-0.2
491
Tumor
-0.2
627
Tumor
-0.2
868
Normal
-0.2
914
Normal
-0.2
383
Tumor
-0.2
313
Tumor
-0.2
813
Tumor
-0.2
911
Tumor
-0.3
125
Tumor
-0.3
741
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.