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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.
NFKBIA is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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 TPM
79.9
Number of samples
362
Samples
Sample
Description
TPM
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
787.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
297.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
260.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
259.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
250.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
222.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
215.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
214.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
204.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
195.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
183.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
181.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
179.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
178.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
170.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
169.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
163.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
162.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
160.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
159.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
152.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
150.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
149.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
148.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
148.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
147.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
145.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
144.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
143.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
141.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
140.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
139.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
138.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
137.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
137.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
134.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
133.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
131.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
130.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
130.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
127.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
124.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
123.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
122.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
122.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
122.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
121.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
121.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
121.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
117.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
117.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
116.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
115.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
114.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
114.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
113.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
113.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
112.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
111.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
110.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
110.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
109.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
109.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
109.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
108.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
108.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
108.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
107.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
107.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
106.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
105.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
105.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
105.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
104.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
104.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
103.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
103.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
103.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
102.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
102.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
102.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
102.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
102.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
102.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
101.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
101.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
101.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
101.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
101.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
101.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
100.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
99.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
99.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
98.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
98.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
97.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
97.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
97.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
97.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
97.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
96.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
96.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
95.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
95.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
95.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
94.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
94.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
93.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
91.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
91.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
90.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
89.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
88.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
88.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
87.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
87.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
87.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
87.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
87.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
86.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
86.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
85.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
85.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
85.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
84.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
84.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
84.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
84.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
83.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
82.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
82.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
82.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
81.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
81.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
81.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
80.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
80.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
80.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
80.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
80.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
80.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
79.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
79.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
79.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
79.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
79.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
79.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
78.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
78.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
78.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
78.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
78.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
77.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
77.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
77.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
77.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
75.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
75.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
75.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
74.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
74.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
74.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
74.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
74.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
74.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
74.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
74.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
74.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
73.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
73.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
73.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
73.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
72.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
72.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
72.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
72.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
71.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
71.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
71.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
71.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
70.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
70.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
70.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
70.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
69.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
69.2
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
69.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
69.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
68.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
68.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
68.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
67.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
67.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
67.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
67.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
66.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
66.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
65.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
65.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
65.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
64.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
64.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
64.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
64.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
64.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
64.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
63.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
63.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
63.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
62.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
62.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
62.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
61.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
61.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
61.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
61.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
60.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
60.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
60.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
60.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
59.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
59.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
59.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
58.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
58.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
58.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
58.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
58.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
58.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
57.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
57.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
57.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
57.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
56.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
56.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
56.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
56.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
56.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
56.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
55.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
55.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
55.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
54.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
54.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
54.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
53.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
53.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
53.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
53.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
53.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
53.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
53.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
53.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
53.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
52.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
52.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
52.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
52.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
51.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
51.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
51.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
51.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
50.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
50.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
49.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
49.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
49.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
49.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
48.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
48.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
48.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
48.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
47.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
47.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
47.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
46.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
46.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
46.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
46.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
45.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
45.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
45.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
45.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
45.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
44.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
44.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
44.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
44.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
44.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
43.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
43.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
43.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
43.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
42.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
42.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
42.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
42.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
42.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
42.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
41.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
41.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
41.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
41.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
41.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
40.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
40.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
40.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
40.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
40.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
39.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
39.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
39.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
39.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
38.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
37.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
36.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
36.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
36.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
36.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
36.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
35.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
35.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
35.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
35.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
34.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
34.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
33.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
33.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
33.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
33.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
33.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
32.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
32.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
31.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
31.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
29.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
29.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
28.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
28.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
28.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
28.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
27.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
27.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
26.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
26.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
25.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
23.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
23.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
20.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
17.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
16.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
15.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
15.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
15.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
15.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
14.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
12.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
8.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
6.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
6.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
5.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 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.
NFKBIA 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 TPM
97.4
Number of samples
231
Samples
Sample
Description
TPM
DO23530
53 years, male, NA, stage:4, dead, 180 days
519.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
434.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
351.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
284.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
279.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
262.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
252.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
234.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
226.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
222.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
207.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
206.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
201.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
194.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
191.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
176.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
175.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
174.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
167.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
167.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
165.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
164.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
163.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
163.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
163.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
160.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
157.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
155.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
154.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
154.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
147.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
146.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
144.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
144.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
143.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
142.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
141.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
140.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
140.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
139.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
139.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
137.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
137.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
133.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
132.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
129.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
127.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
120.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
120.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
119.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
118.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
118.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
117.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
117.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
116.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
116.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
115.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
113.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
111.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
111.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
108.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
108.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
107.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
107.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
106.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
105.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
105.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
104.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
103.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
102.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
102.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
101.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
101.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
101.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
101.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
99.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
98.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
98.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
97.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
97.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
97.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
97.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
97.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
97.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
96.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
96.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
96.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
95.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
95.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
94.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
94.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
94.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
94.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
93.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
93.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
92.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
91.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
91.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
91.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
90.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
90.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
90.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
89.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
88.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
88.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
88.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
87.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
87.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
87.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
86.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
86.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
85.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
85.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
85.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
84.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
84.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
83.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
83.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
83.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
82.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
82.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
81.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
81.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
80.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
80.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
80.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
80.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
80.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
79.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
79.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
79.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
79.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
78.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
78.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
78.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
77.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
76.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
76.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
72.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
71.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
71.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
71.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
70.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
70.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
70.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
69.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
69.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
69.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
69.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
69.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
69.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
69.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
68.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
68.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
67.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
66.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
66.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
66.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
65.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
65.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
65.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
64.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
64.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
64.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
63.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
62.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
62.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
62.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
61.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
61.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
61.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
61.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
59.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
59.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
59.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
58.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
57.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
57.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
57.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
57.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
57.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
56.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
56.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
56.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
56.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
54.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
53.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
53.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
52.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
52.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
51.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
51.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
51.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
51.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
50.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
50.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
50.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
49.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
49.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
49.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
49.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
48.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
46.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
45.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
44.6
DO45205
67 years, female, NA, stage:2, dead, 90 days
44.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
43.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
43.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
42.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
42.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
41.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
40.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
39.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
39.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
38.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
37.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
36.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
36.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
36.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
36.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
36.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
35.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
34.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
34.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
34.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
31.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
29.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
29.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
28.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
27.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
24.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
328
Normal
1.0
727
Tumor
0.9
191
Tumor
0.9
642
Normal
0.8
917
Tumor
0.7
332
Normal
0.7
715
Tumor
0.7
426
Normal
0.6
536
Normal
0.6
222
Normal
0.6
268
Normal
0.6
534
Normal
0.6
428
Normal
0.5
721
Tumor
0.5
618
Normal
0.5
714
Normal
0.5
546
Normal
0.5
314
Normal
0.5
354
Normal
0.5
615
Tumor
0.5
636
Normal
0.5
737
Tumor
0.5
916
Normal
0.5
513
Tumor
0.5
628
Normal
0.5
915
Tumor
0.5
394
Normal
0.4
538
Normal
0.4
516
Normal
0.4
196
Normal
0.4
554
Normal
0.4
192
Normal
0.4
672
Normal
0.4
132
Normal
0.4
414
Normal
0.4
261
Tumor
0.4
364
Normal
0.4
214
Normal
0.4
352
Normal
0.4
424
Normal
0.4
388
Normal
0.4
956
Normal
0.4
136
Normal
0.4
616
Normal
0.4
528
Normal
0.4
938
Normal
0.4
968
Normal
0.4
272
Normal
0.4
342
Normal
0.4
627
Tumor
0.3
926
Normal
0.3
666
Normal
0.3
422
Normal
0.3
146
Normal
0.3
447
Tumor
0.3
924
Normal
0.3
728
Normal
0.3
922
Normal
0.3
723
Tumor
0.3
195
Tumor
0.3
262
Normal
0.3
138
Normal
0.3
358
Normal
0.3
976
Normal
0.3
392
Normal
0.3
344
Normal
0.3
877
Tumor
0.3
744
Normal
0.3
738
Normal
0.3
958
Normal
0.3
867
Tumor
0.3
716
Normal
0.3
145
Tumor
0.3
955
Tumor
0.3
298
Normal
0.3
278
Normal
0.3
954
Normal
0.3
742
Normal
0.3
386
Normal
0.3
866
Normal
0.3
1032
Normal
0.2
396
Normal
0.2
686
Normal
0.2
617
Tumor
0.2
356
Normal
0.2
518
Normal
0.2
142
Normal
0.2
884
Normal
0.2
452
Normal
0.2
756
Normal
0.2
816
Normal
0.2
186
Normal
0.2
813
Tumor
0.2
852
Normal
0.2
515
Tumor
0.2
818
Normal
0.2
1022
Normal
0.2
482
Normal
0.2
312
Normal
0.2
218
Normal
0.2
258
Normal
0.2
746
Normal
0.2
648
Normal
0.2
456
Normal
0.2
664
Normal
0.2
698
Normal
0.2
423
Tumor
0.2
778
Normal
0.2
912
Normal
0.2
696
Normal
0.2
171
Tumor
0.2
814
Normal
0.2
1042
Normal
0.2
662
Normal
0.2
468
Normal
0.2
464
Normal
0.2
665
Tumor
0.2
448
Normal
0.2
161
Tumor
0.2
172
Normal
0.1
432
Normal
0.1
864
Normal
0.1
188
Normal
0.1
868
Normal
0.1
1046
Normal
0.1
824
Normal
0.1
722
Normal
0.1
862
Normal
0.1
1044
Normal
0.1
462
Normal
0.1
918
Normal
0.1
141
Tumor
0.1
311
Tumor
0.1
1028
Normal
0.1
874
Normal
0.1
1026
Normal
0.1
523
Tumor
0.1
412
Normal
0.1
815
Tumor
0.1
526
Normal
0.1
944
Normal
0.1
327
Tumor
0.1
232
Normal
0.1
858
Normal
0.1
914
Normal
0.1
484
Normal
0.1
863
Tumor
0.1
393
Tumor
0.1
964
Normal
0.1
224
Normal
0.1
952
Normal
0.1
421
Tumor
0.1
982
Normal
0.1
162
Normal
0.1
524
Normal
0.1
786
Normal
0.1
185
Tumor
0.1
713
Tumor
0.1
878
Normal
0.1
425
Tumor
0.1
148
Normal
0.1
785
Tumor
0.1
286
Normal
0.0
353
Tumor
0.0
383
Tumor
0.0
427
Tumor
0.0
882
Normal
0.0
415
Tumor
0.0
481
Tumor
0.0
861
Tumor
0.0
217
Tumor
0.0
635
Tumor
0.0
685
Tumor
0.0
416
Normal
0.0
865
Tumor
0.0
267
Tumor
0.0
873
Tumor
0.0
777
Tumor
0.0
483
Tumor
0.0
911
Tumor
0.0
444
Normal
0.0
488
Normal
0.0
413
Tumor
0.0
466
Normal
0.0
953
Tumor
-0.1
285
Tumor
-0.1
187
Tumor
-0.1
1025
Tumor
-0.1
533
Tumor
-0.1
1014
Normal
-0.1
545
Tumor
-0.1
1041
Tumor
-0.1
641
Tumor
-0.1
984
Normal
-0.1
1016
Normal
-0.1
212
Normal
-0.1
446
Normal
-0.1
367
Tumor
-0.1
525
Tumor
-0.1
221
Tumor
-0.1
297
Tumor
-0.1
375
Tumor
-0.1
514
Normal
-0.1
487
Tumor
-0.1
211
Tumor
-0.1
147
Tumor
-0.1
137
Tumor
-0.1
1045
Tumor
-0.1
213
Tumor
-0.1
1013
Tumor
-0.1
341
Tumor
-0.1
461
Tumor
-0.1
451
Tumor
-0.1
228
Normal
-0.1
135
Tumor
-0.2
365
Tumor
-0.2
343
Tumor
-0.2
478
Normal
-0.2
647
Tumor
-0.2
494
Normal
-0.2
966
Normal
-0.2
755
Tumor
-0.2
978
Normal
-0.2
923
Tumor
-0.2
492
Normal
-0.2
436
Normal
-0.2
663
Tumor
-0.2
527
Tumor
-0.2
477
Tumor
-0.2
445
Tumor
-0.2
498
Normal
-0.2
857
Tumor
-0.2
943
Tumor
-0.2
913
Tumor
-0.2
1027
Tumor
-0.3
724
Normal
-0.3
981
Tumor
-0.3
741
Tumor
-0.3
697
Tumor
-0.3
465
Tumor
-0.3
1043
Tumor
-0.3
925
Tumor
-0.3
937
Tumor
-0.3
366
Normal
-0.3
284
Normal
-0.3
977
Tumor
-0.3
661
Tumor
-0.3
391
Tumor
-0.3
851
Tumor
-0.3
472
Normal
-0.3
368
Normal
-0.3
817
Tumor
-0.3
357
Tumor
-0.3
823
Tumor
-0.3
471
Tumor
-0.3
434
Normal
-0.3
376
Normal
-0.3
271
Tumor
-0.3
131
Tumor
-0.4
223
Tumor
-0.4
387
Tumor
-0.4
467
Tumor
-0.4
431
Tumor
-0.4
395
Tumor
-0.4
553
Tumor
-0.4
435
Tumor
-0.4
257
Tumor
-0.4
671
Tumor
-0.4
313
Tumor
-0.4
463
Tumor
-0.4
474
Normal
-0.4
384
Normal
-0.4
951
Tumor
-0.4
362
Normal
-0.4
283
Tumor
-0.4
455
Tumor
-0.4
227
Tumor
-0.4
491
Tumor
-0.5
883
Tumor
-0.5
745
Tumor
-0.5
535
Tumor
-0.5
517
Tumor
-0.5
695
Tumor
-0.5
385
Tumor
-0.5
361
Tumor
-0.5
983
Tumor
-0.5
351
Tumor
-0.5
277
Tumor
-0.5
231
Tumor
-0.5
1031
Tumor
-0.5
493
Tumor
-0.5
1021
Tumor
-0.5
1015
Tumor
-0.5
921
Tumor
-0.6
355
Tumor
-0.6
497
Tumor
-0.6
881
Tumor
-0.6
743
Tumor
-0.6
363
Tumor
-0.6
433
Tumor
-0.7
443
Tumor
-0.7
537
Tumor
-0.8
963
Tumor
-0.8
975
Tumor
-0.8
957
Tumor
-0.8
331
Tumor
-0.9
411
Tumor
-1.0
967
Tumor
-1.0
965
Tumor
-1.0
473
Tumor
-1.0
111
Normal
N/A
112
Tumor
N/A
113
Tumor
N/A
114
Normal
N/A
123
Tumor
N/A
124
Normal
N/A
125
Tumor
N/A
126
Normal
N/A
127
Tumor
N/A
128
Normal
N/A
557
Tumor
N/A
558
Normal
N/A
563
Tumor
N/A
564
Normal
N/A
567
Tumor
N/A
568
Normal
N/A
571
Tumor
N/A
572
Normal
N/A
573
Tumor
N/A
574
Normal
N/A
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
