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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.
RPS19 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.048
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.
41%
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.
51%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2274.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
10522.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
9322.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
9296.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
8905.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
8577.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
8082.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
7925.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
7216.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
6801.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
6697.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
6495.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
6381.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
6269.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
5475.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
5460.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
5444.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
5390.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5338.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
5300.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
5271.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
5264.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5227.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5202.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
5112.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
5049.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
5046.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
5036.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
4907.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
4907.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
4764.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
4659.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
4576.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4544.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
4392.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
4371.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
4196.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4188.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
4159.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
4049.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
4006.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
3987.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3986.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3945.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
3806.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3804.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3798.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3721.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3701.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3692.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3692.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3656.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3597.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3583.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3553.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3484.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
3445.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3388.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3345.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
3319.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3281.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3272.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
3252.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3220.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
3209.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3184.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3157.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
3148.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
3124.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3103.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3080.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
3062.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3046.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2986.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2936.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2924.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2921.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2920.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2892.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2863.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2859.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2855.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2849.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2810.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2793.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2705.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2679.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2668.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2632.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2614.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2595.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2555.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2554.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2539.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2537.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2511.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2503.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2500.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2492.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2471.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2461.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2457.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2456.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2454.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2426.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2415.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2408.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2373.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2342.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2342.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2338.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2329.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2325.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2310.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2308.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2305.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2297.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2296.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2293.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2289.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2282.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2281.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2261.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2253.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2249.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2244.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2219.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2180.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2168.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2168.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2165.5
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2146.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2137.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2137.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2137.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2119.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
2103.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2096.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2094.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2086.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2062.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2055.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2045.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2026.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2023.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2018.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2017.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2015.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2000.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2000.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1995.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1993.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1990.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1989.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1985.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1982.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1976.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1965.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1960.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1959.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1950.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1945.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1943.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1930.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1928.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1926.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1915.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1907.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1903.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1896.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1896.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1896.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1885.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1881.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1873.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1869.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1869.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1857.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1856.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1856.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1851.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1845.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1842.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1838.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1837.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1827.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1816.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1807.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1800.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1783.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1780.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1777.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1774.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1766.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1752.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1748.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1728.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1727.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1708.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1691.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1685.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1685.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1682.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1676.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1674.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1667.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1655.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1639.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1623.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1615.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1613.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1609.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1606.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1605.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1588.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1582.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1573.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1568.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1568.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1567.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1565.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1561.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1559.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1546.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1537.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1534.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1532.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1529.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1523.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1522.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1521.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1512.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1501.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1493.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1474.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1470.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1469.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1468.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1465.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1465.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1456.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1455.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1452.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1448.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1445.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1440.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1431.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1413.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1412.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1407.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1405.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1392.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1385.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1384.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1377.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1369.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1368.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1363.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1351.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1349.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1348.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1347.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1344.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1335.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1330.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1330.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1328.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1327.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1327.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1326.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1314.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1314.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1311.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1309.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1304.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1301.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1294.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1277.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1272.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1264.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1261.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1260.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1258.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1235.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1227.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1225.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1214.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1202.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1199.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1196.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1192.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1188.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1188.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1184.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1165.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1164.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1161.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1160.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1156.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1153.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1144.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1138.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1135.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1125.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1123.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1118.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1111.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1111.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1099.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1096.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1093.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1087.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1086.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1081.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1080.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1070.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1069.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1064.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1056.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1042.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1040.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1024.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1023.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1019.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1019.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1014.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
998.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
990.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
990.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
978.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
975.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
969.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
963.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
960.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
958.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
942.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
938.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
932.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
924.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
917.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
917.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
907.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
907.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
896.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
879.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
875.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
866.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
861.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
853.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
848.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
825.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
817.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
816.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
800.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
788.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
787.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
757.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
755.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
730.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
657.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
646.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 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.
RPS19 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0017
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.
0%
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.
71%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
745.2
Number of samples
231
Samples
Sample
Description
TPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
4379.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
2854.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
2753.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2220.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
2053.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
2012.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
1937.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
1873.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
1799.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1775.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
1756.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1738.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1736.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
1662.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1657.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
1649.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
1594.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
1558.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
1522.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
1520.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1513.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
1489.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
1487.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
1476.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
1469.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
1395.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
1372.3
DO50825
70 years, male, NA, stage:2, alive, 390 days
1362.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1325.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
1277.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
1257.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
1232.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
1230.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
1196.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1160.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
1154.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1129.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
1095.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1091.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
1082.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
1080.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
1078.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
1050.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1014.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1008.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1005.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
999.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
986.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
982.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
950.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
946.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
932.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
931.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
928.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
913.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
911.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
889.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
879.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
867.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
860.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
860.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
859.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
858.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
856.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
854.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
847.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
837.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
836.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
827.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
824.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
824.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
821.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
819.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
810.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
803.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
796.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
791.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
789.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
778.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
775.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
767.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
764.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
761.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
761.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
744.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
743.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
736.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
735.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
732.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
703.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
699.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
694.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
693.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
693.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
691.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
683.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
682.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
667.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
663.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
663.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
649.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
646.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
642.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
641.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
639.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
639.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
632.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
619.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
617.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
615.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
612.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
601.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
593.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
591.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
590.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
584.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
581.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
574.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
574.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
566.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
563.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
563.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
554.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
550.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
545.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
542.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
539.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
538.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
537.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
531.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
529.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
527.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
526.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
525.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
521.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
517.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
499.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
497.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
494.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
491.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
491.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
487.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
474.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
473.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
473.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
469.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
468.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
467.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
465.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
461.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
457.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
449.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
447.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
442.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
440.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
434.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
431.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
431.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
430.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
430.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
428.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
424.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
423.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
420.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
416.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
415.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
412.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
411.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
411.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
410.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
410.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
409.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
408.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
408.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
407.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
407.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
402.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
400.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
400.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
399.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
398.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
397.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
397.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
396.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
393.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
392.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
391.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
390.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
389.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
388.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
385.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
385.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
381.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
376.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
370.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
369.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
363.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
359.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
356.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
354.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
353.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
344.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
335.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
326.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
321.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
320.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
319.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
316.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
312.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
308.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
306.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
306.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
301.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
283.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
282.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
276.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
273.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
273.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
267.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
265.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
258.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
255.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
241.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
241.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
238.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
237.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
226.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
219.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
182.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
172.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
158.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.6
557
Tumor
0.5
327
Tumor
0.5
1021
Tumor
0.4
851
Tumor
0.4
1014
Normal
0.4
285
Tumor
0.4
978
Normal
0.4
545
Tumor
0.4
514
Normal
0.4
481
Tumor
0.4
393
Tumor
0.3
113
Tumor
0.3
367
Tumor
0.3
1025
Tumor
0.3
965
Tumor
0.3
523
Tumor
0.3
387
Tumor
0.3
984
Normal
0.3
527
Tumor
0.3
191
Tumor
0.3
533
Tumor
0.3
353
Tumor
0.3
497
Tumor
0.3
528
Normal
0.3
721
Tumor
0.3
937
Tumor
0.3
395
Tumor
0.3
385
Tumor
0.3
524
Normal
0.3
727
Tumor
0.3
864
Normal
0.3
685
Tumor
0.3
912
Normal
0.3
1027
Tumor
0.3
478
Normal
0.3
488
Normal
0.3
944
Normal
0.3
926
Normal
0.3
131
Tumor
0.3
467
Tumor
0.3
723
Tumor
0.3
356
Normal
0.2
824
Normal
0.2
636
Normal
0.2
964
Normal
0.2
195
Tumor
0.2
567
Tumor
0.2
518
Normal
0.2
558
Normal
0.2
982
Normal
0.2
554
Normal
0.2
981
Tumor
0.2
526
Normal
0.2
534
Normal
0.2
852
Normal
0.2
223
Tumor
0.2
661
Tumor
0.2
412
Normal
0.2
756
Normal
0.2
955
Tumor
0.2
983
Tumor
0.2
858
Normal
0.2
777
Tumor
0.2
922
Normal
0.2
482
Normal
0.2
865
Tumor
0.2
517
Tumor
0.2
472
Normal
0.2
968
Normal
0.2
413
Tumor
0.2
267
Tumor
0.2
546
Normal
0.2
135
Tumor
0.2
462
Normal
0.2
573
Tumor
0.2
1016
Normal
0.2
778
Normal
0.2
136
Normal
0.2
331
Tumor
0.2
572
Normal
0.2
866
Normal
0.2
494
Normal
0.2
568
Normal
0.2
218
Normal
0.2
1044
Normal
0.2
525
Tumor
0.2
918
Normal
0.2
1031
Tumor
0.2
484
Normal
0.2
957
Tumor
0.2
815
Tumor
0.2
728
Normal
0.2
966
Normal
0.2
212
Normal
0.2
917
Tumor
0.2
516
Normal
0.2
515
Tumor
0.2
448
Normal
0.2
172
Normal
0.2
553
Tumor
0.2
873
Tumor
0.2
355
Tumor
0.2
745
Tumor
0.2
923
Tumor
0.2
443
Tumor
0.2
785
Tumor
0.2
376
Normal
0.2
222
Normal
0.2
332
Normal
0.2
513
Tumor
0.1
958
Normal
0.1
538
Normal
0.1
352
Normal
0.1
1026
Normal
0.1
368
Normal
0.1
286
Normal
0.1
938
Normal
0.1
493
Tumor
0.1
564
Normal
0.1
715
Tumor
0.1
967
Tumor
0.1
231
Tumor
0.1
862
Normal
0.1
392
Normal
0.1
214
Normal
0.1
617
Tumor
0.1
818
Normal
0.1
951
Tumor
0.1
1042
Normal
0.1
952
Normal
0.1
415
Tumor
0.1
696
Normal
0.1
363
Tumor
0.1
724
Normal
0.1
411
Tumor
0.1
466
Normal
0.1
196
Normal
0.1
314
Normal
0.1
1043
Tumor
0.1
916
Normal
0.1
232
Normal
0.1
416
Normal
0.1
358
Normal
0.1
882
Normal
0.1
474
Normal
0.1
1046
Normal
0.1
162
Normal
0.1
436
Normal
0.1
284
Normal
0.1
1022
Normal
0.1
221
Tumor
0.1
145
Tumor
0.1
364
Normal
0.1
227
Tumor
0.1
786
Normal
0.1
473
Tumor
0.1
698
Normal
0.1
738
Normal
0.1
817
Tumor
0.1
924
Normal
0.1
857
Tumor
0.1
394
Normal
0.1
228
Normal
0.1
943
Tumor
0.1
328
Normal
0.1
128
Normal
0.1
664
Normal
0.1
884
Normal
0.1
648
Normal
0.1
536
Normal
0.1
187
Tumor
0.1
142
Normal
0.1
124
Normal
0.1
861
Tumor
0.1
662
Normal
0.1
1015
Tumor
0.1
211
Tumor
0.1
963
Tumor
0.1
492
Normal
0.1
396
Normal
0.1
414
Normal
0.1
148
Normal
0.1
686
Normal
0.1
954
Normal
0.1
186
Normal
0.1
298
Normal
0.1
535
Tumor
0.1
816
Normal
0.1
388
Normal
0.1
746
Normal
0.1
672
Normal
0.1
114
Normal
0.1
428
Normal
0.1
262
Normal
0.1
471
Tumor
0.1
464
Normal
0.1
697
Tumor
0.1
431
Tumor
0.1
213
Tumor
0.1
976
Normal
0.1
258
Normal
0.1
391
Tumor
0.1
451
Tumor
0.1
755
Tumor
0.1
272
Normal
0.1
446
Normal
0.1
344
Normal
0.1
953
Tumor
0.0
1028
Normal
0.0
224
Normal
0.0
362
Normal
0.0
112
Tumor
0.0
257
Tumor
0.0
915
Tumor
0.0
424
Normal
0.0
217
Tumor
0.0
868
Normal
0.0
434
Normal
0.0
1032
Normal
0.0
616
Normal
0.0
483
Tumor
0.0
426
Normal
0.0
714
Normal
0.0
878
Normal
0.0
342
Normal
0.0
628
Normal
0.0
956
Normal
0.0
422
Normal
0.0
743
Tumor
0.0
463
Tumor
0.0
384
Normal
0.0
716
Normal
0.0
111
Normal
0.0
312
Normal
0.0
823
Tumor
0.0
975
Tumor
0.0
365
Tumor
0.0
563
Tumor
0.0
354
Normal
0.0
447
Tumor
0.0
427
Tumor
0.0
487
Tumor
0.0
921
Tumor
0.0
913
Tumor
0.0
925
Tumor
0.0
261
Tumor
0.0
647
Tumor
0.0
375
Tumor
0.0
132
Normal
0.0
571
Tumor
0.0
737
Tumor
0.0
351
Tumor
0.0
432
Normal
0.0
695
Tumor
0.0
874
Normal
0.0
366
Normal
0.0
268
Normal
0.0
742
Normal
0.0
138
Normal
0.0
147
Tumor
0.0
665
Tumor
0.0
867
Tumor
0.0
722
Normal
0.0
455
Tumor
0.0
618
Normal
0.0
188
Normal
0.0
574
Normal
0.0
123
Tumor
0.0
445
Tumor
0.0
137
Tumor
0.0
171
Tumor
0.0
386
Normal
0.0
126
Normal
0.0
863
Tumor
0.0
127
Tumor
0.0
456
Normal
0.0
468
Normal
0.0
435
Tumor
0.0
271
Tumor
0.0
498
Normal
0.0
615
Tumor
0.0
425
Tumor
0.0
666
Normal
0.0
1041
Tumor
0.0
713
Tumor
0.0
452
Normal
0.0
185
Tumor
-0.1
461
Tumor
-0.1
1013
Tumor
-0.1
278
Normal
-0.1
361
Tumor
-0.1
977
Tumor
-0.1
814
Normal
-0.1
465
Tumor
-0.1
161
Tumor
-0.1
635
Tumor
-0.1
283
Tumor
-0.1
477
Tumor
-0.1
146
Normal
-0.1
297
Tumor
-0.1
433
Tumor
-0.1
421
Tumor
-0.1
883
Tumor
-0.1
881
Tumor
-0.1
423
Tumor
-0.1
141
Tumor
-0.1
663
Tumor
-0.1
192
Normal
-0.1
341
Tumor
-0.1
444
Normal
-0.1
357
Tumor
-0.1
277
Tumor
-0.1
311
Tumor
-0.1
343
Tumor
-0.1
642
Normal
-0.1
1045
Tumor
-0.2
671
Tumor
-0.2
744
Normal
-0.2
914
Normal
-0.2
313
Tumor
-0.2
125
Tumor
-0.2
911
Tumor
-0.2
641
Tumor
-0.2
813
Tumor
-0.2
627
Tumor
-0.2
383
Tumor
-0.2
491
Tumor
-0.3
877
Tumor
-0.4
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.