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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.
RPLP2 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2240.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
11749.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
11209.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
11171.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
8440.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
7799.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
7142.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
6727.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
6519.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
5953.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
5561.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5475.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
5389.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
5339.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5300.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
4987.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4872.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
4853.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
4838.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
4702.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
4702.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
4633.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
4609.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4515.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4487.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4433.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
4421.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
4417.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
4365.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
4350.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4339.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
4219.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
4132.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
4131.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
4045.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
4030.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3976.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3965.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3922.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3859.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3787.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3774.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3754.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3753.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
3736.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3728.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3708.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3672.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
3639.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3626.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3609.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3596.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3594.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3584.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3494.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3486.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
3480.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3410.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3371.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
3272.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3257.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3247.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3187.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3184.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3179.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3118.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3021.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
3011.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3004.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2998.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2965.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2948.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2946.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2940.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2892.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2886.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2864.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2812.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2808.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2808.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2770.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2762.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2760.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2742.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2718.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2717.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2701.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2682.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2656.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2640.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2633.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2631.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2617.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2616.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2611.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2603.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2595.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2594.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2592.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2585.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2569.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2565.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2521.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2488.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2483.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2457.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2450.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2444.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2434.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2432.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2404.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2382.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2374.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2372.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2365.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2354.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2349.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2343.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2319.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2319.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2304.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2302.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2298.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2294.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2288.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2259.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2252.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2249.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2228.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2225.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2209.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2207.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2190.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2180.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2179.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2172.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2171.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2157.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2152.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2133.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2130.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2125.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2119.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2118.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2115.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2112.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2107.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
2065.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2062.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
2050.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2046.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2045.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2042.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2038.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2026.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2018.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2005.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1994.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1992.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1985.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1985.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1979.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1975.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1970.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1956.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1953.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1948.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1944.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1926.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1906.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1894.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1893.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1891.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1887.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1880.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1879.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1873.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1873.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1873.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1811.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1807.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1806.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1785.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1783.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1778.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1775.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1773.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1766.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1761.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1744.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1743.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1741.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1740.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1737.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1734.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1731.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1727.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1725.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1724.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1715.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1705.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1701.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1701.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1700.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1688.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1681.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1677.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1673.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1662.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1659.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1648.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1635.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1635.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1628.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1625.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1624.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1613.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1597.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1594.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1585.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1581.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1578.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1578.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1578.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1554.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1547.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1535.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1525.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1523.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1522.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1510.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1509.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1508.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1505.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1503.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1498.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1493.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1489.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1488.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1478.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1476.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1473.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1471.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1462.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1448.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1445.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1441.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1439.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1436.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1435.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1434.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1430.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1429.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1427.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1418.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1416.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1412.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1408.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1407.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1400.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1390.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1389.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1389.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1379.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1363.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1351.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1348.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1347.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1346.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1342.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1330.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1319.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1303.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1300.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1297.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1295.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1293.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1287.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1282.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1273.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1269.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1268.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1266.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1266.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1258.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1254.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1237.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1237.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1236.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1236.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1229.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1228.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1228.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1218.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1208.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1205.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1200.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1196.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1193.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1190.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1178.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1174.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1168.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1168.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1166.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1164.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1155.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1151.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1148.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1147.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1137.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1130.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1128.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1127.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1126.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1125.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1123.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1106.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1090.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1088.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1082.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1081.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1068.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1067.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1056.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1052.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1023.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1022.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1022.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1015.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1011.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1009.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
999.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
993.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
991.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
976.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
969.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
955.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
952.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
932.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
924.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
912.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
887.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
870.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
864.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
853.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
840.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
837.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
823.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
807.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
795.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
781.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
774.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
765.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
753.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
724.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
705.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
703.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
700.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
698.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
686.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
685.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 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.
RPLP2 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1569.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
8832.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
5438.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
4774.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
4592.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
4146.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
4059.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
3893.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
3751.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
3713.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3656.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
3416.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
3398.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
3274.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3252.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
3210.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
3185.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
3111.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3109.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
3101.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
3066.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3062.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3033.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
2875.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
2863.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
2832.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
2810.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
2809.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
2734.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
2703.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
2647.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
2610.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2575.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
2539.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
2493.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
2472.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
2468.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
2459.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
2456.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2455.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2419.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
2413.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
2367.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
2343.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
2314.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
2268.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2175.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
2170.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
2127.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
2052.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
2023.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2018.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
1949.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
1945.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1944.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
1935.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
1927.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
1883.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
1869.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
1866.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1857.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
1854.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1853.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1768.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
1737.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
1735.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1732.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1729.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
1716.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
1690.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
1684.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
1668.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
1664.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
1664.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
1651.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
1648.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
1635.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
1613.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1607.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
1604.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
1602.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1579.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
1552.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1544.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
1526.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
1517.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1514.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
1482.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
1480.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1476.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
1458.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
1452.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1446.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
1430.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
1413.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
1413.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
1410.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
1391.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1390.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
1389.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1382.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1370.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
1369.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
1368.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1367.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
1329.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
1321.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1314.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1313.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1310.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
1308.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
1307.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
1299.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1296.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1295.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1288.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1287.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
1275.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1269.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1262.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1258.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1247.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
1245.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
1235.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
1219.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1219.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1208.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
1184.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1182.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
1181.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
1171.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
1167.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
1161.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
1158.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
1151.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1149.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
1125.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
1124.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
1121.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1101.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
1100.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
1100.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
1096.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
1087.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1073.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1072.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1066.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1063.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
1063.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1057.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
1046.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
1043.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
1041.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
1038.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
1032.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
1026.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1024.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1022.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
1021.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
991.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
984.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
983.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
982.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
979.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
977.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
969.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
965.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
964.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
964.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
956.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
948.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
944.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
938.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
920.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
920.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
918.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
910.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
904.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
897.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
889.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
888.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
880.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
875.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
857.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
851.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
844.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
843.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
833.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
830.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
827.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
824.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
822.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
819.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
817.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
810.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
805.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
795.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
794.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
789.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
779.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
762.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
755.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
745.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
741.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
739.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
733.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
729.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
727.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
711.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
709.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
704.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
689.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
680.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
667.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
660.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
653.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
649.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
647.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
645.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
644.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
641.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
625.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
617.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
584.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
571.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
538.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
527.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
523.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
492.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
470.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
447.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
407.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
978
Normal
0.4
223
Tumor
0.4
557
Tumor
0.4
212
Normal
0.3
172
Normal
0.3
395
Tumor
0.3
488
Normal
0.3
926
Normal
0.3
661
Tumor
0.3
981
Tumor
0.3
964
Normal
0.3
113
Tumor
0.3
222
Normal
0.3
1014
Normal
0.3
426
Normal
0.3
191
Tumor
0.3
394
Normal
0.3
332
Normal
0.3
358
Normal
0.3
356
Normal
0.2
327
Tumor
0.2
573
Tumor
0.2
135
Tumor
0.2
162
Normal
0.2
186
Normal
0.2
432
Normal
0.2
268
Normal
0.2
258
Normal
0.2
196
Normal
0.2
698
Normal
0.2
314
Normal
0.2
535
Tumor
0.2
482
Normal
0.2
958
Normal
0.2
217
Tumor
0.2
937
Tumor
0.2
636
Normal
0.2
414
Normal
0.2
982
Normal
0.2
228
Normal
0.2
478
Normal
0.2
537
Tumor
0.2
412
Normal
0.2
984
Normal
0.2
497
Tumor
0.2
955
Tumor
0.2
983
Tumor
0.2
481
Tumor
0.1
422
Normal
0.1
427
Tumor
0.1
514
Normal
0.1
443
Tumor
0.1
367
Tumor
0.1
424
Normal
0.1
756
Normal
0.1
467
Tumor
0.1
524
Normal
0.1
462
Normal
0.1
148
Normal
0.1
351
Tumor
0.1
352
Normal
0.1
214
Normal
0.1
195
Tumor
0.1
342
Normal
0.1
232
Normal
0.1
272
Normal
0.1
696
Normal
0.1
218
Normal
0.1
227
Tumor
0.1
344
Normal
0.1
513
Tumor
0.1
534
Normal
0.1
1027
Tumor
0.1
536
Normal
0.1
132
Normal
0.1
145
Tumor
0.1
851
Tumor
0.1
388
Normal
0.1
1032
Normal
0.1
528
Normal
0.1
526
Normal
0.1
546
Normal
0.1
446
Normal
0.1
136
Normal
0.1
114
Normal
0.1
353
Tumor
0.1
662
Normal
0.1
284
Normal
0.1
262
Normal
0.1
1046
Normal
0.1
224
Normal
0.1
617
Tumor
0.1
146
Normal
0.1
516
Normal
0.1
428
Normal
0.1
286
Normal
0.0
393
Tumor
0.0
128
Normal
0.0
126
Normal
0.0
188
Normal
0.0
444
Normal
0.0
738
Normal
0.0
965
Tumor
0.0
466
Normal
0.0
922
Normal
0.0
743
Tumor
0.0
666
Normal
0.0
111
Normal
0.0
1015
Tumor
0.0
362
Normal
0.0
567
Tumor
0.0
413
Tumor
0.0
924
Normal
0.0
568
Normal
0.0
665
Tumor
0.0
192
Normal
0.0
944
Normal
0.0
956
Normal
0.0
1044
Normal
0.0
387
Tumor
0.0
517
Tumor
0.0
376
Normal
0.0
298
Normal
0.0
285
Tumor
0.0
912
Normal
0.0
368
Normal
0.0
396
Normal
0.0
384
Normal
0.0
664
Normal
0.0
435
Tumor
0.0
628
Normal
0.0
423
Tumor
0.0
494
Normal
0.0
976
Normal
0.0
484
Normal
0.0
916
Normal
0.0
722
Normal
0.0
858
Normal
0.0
185
Tumor
0.0
515
Tumor
0.0
721
Tumor
0.0
525
Tumor
0.0
278
Normal
0.0
571
Tumor
0.0
331
Tumor
0.0
966
Normal
0.0
618
Normal
0.0
354
Normal
0.0
714
Normal
0.0
713
Tumor
0.0
138
Normal
0.0
231
Tumor
0.0
431
Tumor
0.0
815
Tumor
0.0
257
Tumor
0.0
213
Tumor
0.0
938
Normal
0.0
483
Tumor
0.0
672
Normal
0.0
385
Tumor
0.0
434
Normal
0.0
392
Normal
0.0
925
Tumor
0.0
545
Tumor
0.0
564
Normal
0.0
137
Tumor
-0.1
963
Tumor
-0.1
724
Normal
-0.1
472
Normal
-0.1
112
Tumor
-0.1
328
Normal
-0.1
572
Normal
-0.1
187
Tumor
-0.1
411
Tumor
-0.1
648
Normal
-0.1
671
Tumor
-0.1
141
Tumor
-0.1
386
Normal
-0.1
436
Normal
-0.1
415
Tumor
-0.1
723
Tumor
-0.1
366
Normal
-0.1
465
Tumor
-0.1
523
Tumor
-0.1
124
Normal
-0.1
492
Normal
-0.1
538
Normal
-0.1
416
Normal
-0.1
957
Tumor
-0.1
1026
Normal
-0.1
468
Normal
-0.1
642
Normal
-0.1
1016
Normal
-0.1
686
Normal
-0.1
452
Normal
-0.1
267
Tumor
-0.1
563
Tumor
-0.1
685
Tumor
-0.1
778
Normal
-0.1
527
Tumor
-0.1
451
Tumor
-0.1
498
Normal
-0.1
375
Tumor
-0.1
171
Tumor
-0.1
147
Tumor
-0.1
142
Normal
-0.1
127
Tumor
-0.1
873
Tumor
-0.1
271
Tumor
-0.1
744
Normal
-0.1
918
Normal
-0.1
616
Normal
-0.1
448
Normal
-0.1
123
Tumor
-0.1
716
Normal
-0.1
445
Tumor
-0.1
312
Normal
-0.1
533
Tumor
-0.1
464
Normal
-0.1
1021
Tumor
-0.1
882
Normal
-0.1
1022
Normal
-0.1
786
Normal
-0.1
967
Tumor
-0.2
777
Tumor
-0.2
1025
Tumor
-0.2
433
Tumor
-0.2
742
Normal
-0.2
355
Tumor
-0.2
824
Normal
-0.2
518
Normal
-0.2
125
Tumor
-0.2
868
Normal
-0.2
954
Normal
-0.2
487
Tumor
-0.2
1028
Normal
-0.2
1042
Normal
-0.2
864
Normal
-0.2
425
Tumor
-0.2
968
Normal
-0.2
923
Tumor
-0.2
558
Normal
-0.2
917
Tumor
-0.2
357
Tumor
-0.2
852
Normal
-0.2
297
Tumor
-0.2
813
Tumor
-0.2
421
Tumor
-0.2
221
Tumor
-0.2
914
Normal
-0.2
663
Tumor
-0.2
862
Normal
-0.2
746
Normal
-0.2
647
Tumor
-0.2
866
Normal
-0.2
953
Tumor
-0.2
361
Tumor
-0.2
463
Tumor
-0.2
884
Normal
-0.2
817
Tumor
-0.2
635
Tumor
-0.2
697
Tumor
-0.2
814
Normal
-0.2
881
Tumor
-0.2
131
Tumor
-0.2
554
Normal
-0.2
574
Normal
-0.2
211
Tumor
-0.2
818
Normal
-0.2
915
Tumor
-0.3
474
Normal
-0.3
365
Tumor
-0.3
728
Normal
-0.3
364
Normal
-0.3
913
Tumor
-0.3
641
Tumor
-0.3
857
Tumor
-0.3
952
Normal
-0.3
313
Tumor
-0.3
343
Tumor
-0.3
627
Tumor
-0.3
615
Tumor
-0.3
456
Normal
-0.3
865
Tumor
-0.3
341
Tumor
-0.3
877
Tumor
-0.3
363
Tumor
-0.3
878
Normal
-0.3
493
Tumor
-0.3
311
Tumor
-0.3
283
Tumor
-0.3
695
Tumor
-0.3
383
Tumor
-0.3
1043
Tumor
-0.3
883
Tumor
-0.3
1031
Tumor
-0.3
277
Tumor
-0.3
447
Tumor
-0.3
745
Tumor
-0.3
261
Tumor
-0.3
1013
Tumor
-0.3
455
Tumor
-0.3
477
Tumor
-0.3
391
Tumor
-0.3
874
Normal
-0.3
867
Tumor
-0.3
161
Tumor
-0.4
715
Tumor
-0.4
461
Tumor
-0.4
975
Tumor
-0.4
816
Normal
-0.4
727
Tumor
-0.4
785
Tumor
-0.4
755
Tumor
-0.4
471
Tumor
-0.4
977
Tumor
-0.5
951
Tumor
-0.5
863
Tumor
-0.5
473
Tumor
-0.5
823
Tumor
-0.5
737
Tumor
-0.5
1041
Tumor
-0.5
943
Tumor
-0.6
553
Tumor
-0.6
921
Tumor
-0.6
491
Tumor
-0.7
911
Tumor
-0.7
1045
Tumor
-0.7
861
Tumor
-0.8
741
Tumor
-1.0
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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.