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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.
RPS11 is potential 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
2318.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
9505.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
9345.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
7791.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
7345.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
6465.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
6395.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
6363.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
5994.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5597.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
5583.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
5397.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5348.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
5278.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
5233.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
5187.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
5035.2
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4798.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
4779.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
4687.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4602.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
4576.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
4532.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
4495.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
4488.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4448.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4422.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
4409.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
4401.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
4363.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
4312.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
4239.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
4214.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4190.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4166.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
4112.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
4013.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3998.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3989.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3931.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3860.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3857.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3823.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3784.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3745.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3717.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3716.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3689.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3664.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3659.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
3610.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3602.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3582.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3547.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3494.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3489.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3446.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3435.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3399.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3399.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3391.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
3364.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
3330.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3283.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
3273.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
3200.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3194.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3181.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3115.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3101.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3100.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
3042.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
3010.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2999.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2967.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2928.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
2889.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2876.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2874.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2867.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2866.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2860.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2853.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2826.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2822.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2811.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2808.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2797.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2785.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2758.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2730.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2710.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2702.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2672.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2657.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2635.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2623.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2600.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2598.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2586.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2574.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2557.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2551.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2540.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2533.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2531.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2530.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2524.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2515.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2513.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2502.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2489.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2466.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2463.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2427.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2399.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2398.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2375.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2374.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2365.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2364.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2349.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2348.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2344.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2340.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2332.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2306.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2304.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2299.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2291.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2289.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2267.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2265.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2260.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2257.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2249.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2245.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2240.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2238.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2233.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2232.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2225.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2220.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2218.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2211.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2187.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2186.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2182.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2177.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2177.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2174.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2166.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2148.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2138.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2126.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2119.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2115.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2113.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2107.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2087.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2087.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2079.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2068.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2066.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2065.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2059.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2058.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2051.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2042.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2041.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2035.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2021.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2015.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2005.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2005.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2002.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1996.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1992.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1991.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1984.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1980.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1979.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1973.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1964.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1952.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1947.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1945.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1944.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1942.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1941.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1935.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1930.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1914.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1914.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1912.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1902.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1885.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1879.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1865.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1860.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1852.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1848.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1835.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1825.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1824.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1819.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1810.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1806.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1802.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1802.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1801.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1793.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1791.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1791.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1775.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1771.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1759.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1740.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1736.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1733.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1730.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1729.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1728.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1724.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1716.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1715.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1703.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1692.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1687.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1686.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1660.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1653.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1651.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1648.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1643.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1633.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1628.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1626.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1625.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1619.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1614.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1603.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1599.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1598.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1595.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1591.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1591.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1584.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1581.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1580.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1579.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1564.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1558.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1556.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1537.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1537.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1530.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1526.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1526.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1513.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1508.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1508.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1508.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1506.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1506.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1504.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1494.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1490.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1490.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1477.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1470.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1468.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1467.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1465.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1463.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1462.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1454.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1427.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1422.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1414.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1413.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1407.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1406.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1406.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1398.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1398.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1390.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1390.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1386.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1385.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1376.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1364.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1360.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1357.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1351.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1346.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1338.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1333.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1330.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1325.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1325.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1324.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1322.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1318.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1312.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1312.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1311.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1310.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1297.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1291.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1290.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1290.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1285.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1283.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1275.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1271.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1266.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1264.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1248.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1240.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1220.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1218.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1211.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1205.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1203.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1203.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1202.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1195.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1183.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1180.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1177.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1173.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1172.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1168.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1163.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1155.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1137.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1135.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1109.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1101.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1098.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1097.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1087.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1086.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1081.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1077.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1074.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1070.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1069.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1058.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1051.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1041.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1013.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
999.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
984.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
974.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
955.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
954.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
950.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
934.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
830.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
773.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 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.
RPS11 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2216.9
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
7396.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
6060.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
5657.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
4974.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
4832.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
4790.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
4757.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
4618.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
4613.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
4582.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
4499.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
4450.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4333.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
4307.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
4283.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
4098.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
4097.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
4013.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
3887.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
3781.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3755.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
3745.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
3621.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
3591.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3590.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
3531.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
3495.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3378.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
3369.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
3330.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3287.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3284.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
3270.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
3259.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3244.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
3225.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
3199.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
3189.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
3158.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
3110.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
3101.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
3097.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
3075.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
2999.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2997.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
2986.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
2959.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
2927.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2913.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
2896.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2863.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
2856.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
2714.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2661.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
2654.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
2650.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
2641.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
2635.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2627.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2624.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
2614.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
2578.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2547.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
2545.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
2540.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
2536.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
2513.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
2478.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2467.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2414.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
2407.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
2407.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2393.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
2393.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2383.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2382.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
2381.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
2367.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
2367.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
2351.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
2334.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2334.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
2323.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2297.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
2292.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2291.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
2251.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
2243.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
2241.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
2229.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
2217.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
2217.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
2206.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
2190.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
2187.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2160.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2141.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
2135.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2128.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
2120.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
2118.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
2108.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
2096.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
2089.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
2083.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
2081.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
2061.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2057.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2055.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2054.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
2052.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2048.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
2041.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
2030.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
2019.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
2013.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
1978.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
1971.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
1959.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
1943.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1940.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
1935.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
1918.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1913.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
1907.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
1899.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1896.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
1850.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1845.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
1834.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
1823.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
1814.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1811.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
1810.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
1809.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
1797.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1752.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
1750.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1748.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1747.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
1741.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
1732.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
1728.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1724.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
1700.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1686.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
1683.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
1680.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
1671.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1670.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
1668.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
1664.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1662.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1661.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
1650.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1645.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1645.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
1638.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
1626.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1615.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1612.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1598.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
1597.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1597.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
1584.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1564.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
1558.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1544.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
1527.3
DO23529
72 years, male, NA, stage:4, alive, 930 days
1502.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
1499.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1481.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1475.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
1466.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1451.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1440.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
1440.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
1423.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
1407.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
1399.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
1395.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
1393.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1388.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
1374.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1374.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1360.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1342.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1340.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
1330.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
1330.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
1322.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
1321.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
1315.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
1293.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
1279.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
1276.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
1276.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
1260.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
1242.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1232.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
1228.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1221.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1218.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
1215.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1215.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
1210.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1183.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
1180.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
1137.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
1136.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1119.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
1117.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
1084.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
1079.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1074.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
1072.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
1068.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
1065.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
1052.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
1050.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1047.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1022.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1006.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
982.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
907.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
860.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
813.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
812.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
736.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
640.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
592.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.7
557
Tumor
0.6
1021
Tumor
0.5
965
Tumor
0.5
523
Tumor
0.5
951
Tumor
0.4
131
Tumor
0.4
697
Tumor
0.4
327
Tumor
0.4
685
Tumor
0.4
367
Tumor
0.4
545
Tumor
0.4
567
Tumor
0.4
1025
Tumor
0.4
285
Tumor
0.4
535
Tumor
0.4
957
Tumor
0.4
517
Tumor
0.3
393
Tumor
0.3
937
Tumor
0.3
967
Tumor
0.3
865
Tumor
0.3
815
Tumor
0.3
554
Normal
0.3
473
Tumor
0.3
471
Tumor
0.3
355
Tumor
0.3
981
Tumor
0.3
727
Tumor
0.3
481
Tumor
0.3
525
Tumor
0.3
223
Tumor
0.3
1027
Tumor
0.3
385
Tumor
0.3
533
Tumor
0.2
527
Tumor
0.2
743
Tumor
0.2
477
Tumor
0.2
1043
Tumor
0.2
983
Tumor
0.2
777
Tumor
0.2
497
Tumor
0.2
135
Tumor
0.2
851
Tumor
0.2
558
Normal
0.2
661
Tumor
0.2
955
Tumor
0.2
395
Tumor
0.2
966
Normal
0.2
923
Tumor
0.2
964
Normal
0.2
448
Normal
0.2
353
Tumor
0.2
267
Tumor
0.2
715
Tumor
0.2
474
Normal
0.2
387
Tumor
0.2
331
Tumor
0.2
113
Tumor
0.2
745
Tumor
0.2
952
Normal
0.2
516
Normal
0.2
515
Tumor
0.2
1026
Normal
0.2
518
Normal
0.2
356
Normal
0.2
526
Normal
0.1
536
Normal
0.1
738
Normal
0.1
467
Tumor
0.1
723
Tumor
0.1
695
Tumor
0.1
221
Tumor
0.1
1015
Tumor
0.1
724
Normal
0.1
493
Tumor
0.1
737
Tumor
0.1
746
Normal
0.1
1031
Tumor
0.1
921
Tumor
0.1
553
Tumor
0.1
412
Normal
0.1
524
Normal
0.1
953
Tumor
0.1
484
Normal
0.1
728
Normal
0.1
466
Normal
0.1
411
Tumor
0.1
546
Normal
0.1
443
Tumor
0.1
358
Normal
0.1
568
Normal
0.1
968
Normal
0.1
538
Normal
0.1
696
Normal
0.1
351
Tumor
0.1
534
Normal
0.1
314
Normal
0.1
514
Normal
0.1
211
Tumor
0.1
564
Normal
0.1
963
Tumor
0.1
756
Normal
0.1
1028
Normal
0.1
858
Normal
0.1
873
Tumor
0.1
785
Tumor
0.1
257
Tumor
0.1
1042
Normal
0.1
918
Normal
0.1
421
Tumor
0.1
817
Tumor
0.1
852
Normal
0.1
1041
Tumor
0.1
431
Tumor
0.1
492
Normal
0.0
413
Tumor
0.0
975
Tumor
0.0
227
Tumor
0.0
713
Tumor
0.0
462
Normal
0.0
573
Tumor
0.0
861
Tumor
0.0
823
Tumor
0.0
445
Tumor
0.0
297
Tumor
0.0
228
Normal
0.0
141
Tumor
0.0
924
Normal
0.0
392
Normal
0.0
354
Normal
0.0
721
Tumor
0.0
147
Tumor
0.0
483
Tumor
0.0
352
Normal
0.0
271
Tumor
0.0
376
Normal
0.0
472
Normal
0.0
114
Normal
0.0
636
Normal
0.0
755
Tumor
0.0
915
Tumor
0.0
913
Tumor
0.0
218
Normal
0.0
881
Tumor
0.0
191
Tumor
0.0
778
Normal
0.0
452
Normal
0.0
922
Normal
0.0
878
Normal
0.0
882
Normal
0.0
212
Normal
0.0
958
Normal
0.0
914
Normal
0.0
214
Normal
0.0
982
Normal
0.0
786
Normal
0.0
877
Tumor
0.0
363
Tumor
0.0
394
Normal
0.0
436
Normal
0.0
427
Tumor
0.0
111
Normal
0.0
686
Normal
0.0
1032
Normal
0.0
494
Normal
0.0
312
Normal
0.0
128
Normal
0.0
742
Normal
0.0
213
Tumor
0.0
461
Tumor
0.0
528
Normal
0.0
572
Normal
0.0
487
Tumor
0.0
196
Normal
0.0
824
Normal
0.0
722
Normal
0.0
1013
Tumor
0.0
818
Normal
0.0
332
Normal
0.0
857
Tumor
0.0
298
Normal
0.0
465
Tumor
0.0
926
Normal
0.0
261
Tumor
0.0
137
Tumor
0.0
883
Tumor
0.0
813
Tumor
0.0
618
Normal
0.0
482
Normal
0.0
488
Normal
0.0
1014
Normal
0.0
1016
Normal
0.0
984
Normal
0.0
142
Normal
0.0
866
Normal
0.0
943
Tumor
0.0
571
Tumor
0.0
171
Tumor
0.0
956
Normal
0.0
491
Tumor
0.0
283
Tumor
0.0
342
Normal
0.0
357
Tumor
0.0
617
Tumor
0.0
925
Tumor
0.0
714
Normal
0.0
286
Normal
0.0
375
Tumor
0.0
451
Tumor
0.0
976
Normal
0.0
362
Normal
0.0
455
Tumor
0.0
447
Tumor
-0.1
513
Tumor
-0.1
344
Normal
-0.1
433
Tumor
-0.1
136
Normal
-0.1
416
Normal
-0.1
698
Normal
-0.1
456
Normal
-0.1
435
Tumor
-0.1
864
Normal
-0.1
574
Normal
-0.1
364
Normal
-0.1
662
Normal
-0.1
628
Normal
-0.1
386
Normal
-0.1
187
Tumor
-0.1
916
Normal
-0.1
977
Tumor
-0.1
425
Tumor
-0.1
1022
Normal
-0.1
434
Normal
-0.1
478
Normal
-0.1
912
Normal
-0.1
422
Normal
-0.1
222
Normal
-0.1
867
Tumor
-0.1
944
Normal
-0.1
744
Normal
-0.1
172
Normal
-0.1
563
Tumor
-0.1
232
Normal
-0.1
463
Tumor
-0.1
468
Normal
-0.1
716
Normal
-0.1
195
Tumor
-0.1
911
Tumor
-0.1
978
Normal
-0.1
231
Tumor
-0.1
124
Normal
-0.1
426
Normal
-0.1
938
Normal
-0.1
414
Normal
-0.1
343
Tumor
-0.1
884
Normal
-0.1
664
Normal
-0.1
123
Tumor
-0.1
816
Normal
-0.1
112
Tumor
-0.1
388
Normal
-0.1
132
Normal
-0.1
1044
Normal
-0.1
125
Tumor
-0.1
145
Tumor
-0.1
1046
Normal
-0.1
224
Normal
-0.1
635
Tumor
-0.1
278
Normal
-0.1
313
Tumor
-0.1
284
Normal
-0.1
862
Normal
-0.1
814
Normal
-0.1
647
Tumor
-0.1
328
Normal
-0.1
917
Tumor
-0.1
464
Normal
-0.2
272
Normal
-0.2
391
Tumor
-0.2
162
Normal
-0.2
446
Normal
-0.2
311
Tumor
-0.2
138
Normal
-0.2
341
Tumor
-0.2
616
Normal
-0.2
368
Normal
-0.2
671
Tumor
-0.2
423
Tumor
-0.2
415
Tumor
-0.2
648
Normal
-0.2
874
Normal
-0.2
277
Tumor
-0.2
192
Normal
-0.2
365
Tumor
-0.2
424
Normal
-0.2
148
Normal
-0.2
396
Normal
-0.2
146
Normal
-0.2
366
Normal
-0.2
262
Normal
-0.2
665
Tumor
-0.2
127
Tumor
-0.2
186
Normal
-0.2
741
Tumor
-0.2
258
Normal
-0.2
126
Normal
-0.2
384
Normal
-0.2
217
Tumor
-0.2
642
Normal
-0.2
432
Normal
-0.2
666
Normal
-0.3
361
Tumor
-0.3
615
Tumor
-0.3
161
Tumor
-0.3
268
Normal
-0.3
663
Tumor
-0.3
954
Normal
-0.3
1045
Tumor
-0.3
185
Tumor
-0.3
868
Normal
-0.3
498
Normal
-0.3
188
Normal
-0.3
672
Normal
-0.4
444
Normal
-0.4
383
Tumor
-0.4
627
Tumor
-0.4
428
Normal
-0.4
863
Tumor
-0.5
641
Tumor
-0.5
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
