We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
EIF4H 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 pTPM
128.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
329.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
314.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
292.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
287.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
285.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
270.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
255.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
249.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
242.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
233.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
231.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
230.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
225.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
222.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
215.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
215.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
212.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
210.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
210.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
208.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
207.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
202.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
201.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
200.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
200.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
200.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
199.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
198.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
195.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
195.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
195.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
194.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
192.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
191.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
191.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
191.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
190.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
186.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
186.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
186.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
186.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
184.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
183.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
181.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
181.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
180.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
179.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
179.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
178.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
178.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
177.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
177.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
176.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
176.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
174.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
174.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
174.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
173.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
173.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
170.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
169.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
168.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
167.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
165.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
165.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
164.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
164.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
163.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
163.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
162.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
162.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
162.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
162.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
158.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
157.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
156.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
156.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
155.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
154.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
154.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
154.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
154.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
153.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
153.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
153.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
151.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
151.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
151.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
150.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
150.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
150.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
149.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
149.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
149.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
149.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
149.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
148.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
147.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
147.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
147.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
147.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
147.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
147.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
147.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
146.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
146.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
145.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
145.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
144.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
144.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
144.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
144.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
143.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
142.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
142.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
142.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
141.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
141.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
141.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
141.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
141.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
140.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
140.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
140.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
140.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
140.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
139.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
139.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
139.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
139.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
138.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
138.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
138.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
137.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
137.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
136.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
135.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
135.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
134.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
134.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
134.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
134.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
134.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
134.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
133.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
133.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
132.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
132.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
132.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
132.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
132.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
132.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
132.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
131.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
130.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
129.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
129.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
129.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
129.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
129.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
129.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
129.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
129.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
129.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
128.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
128.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
128.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
127.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
126.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
126.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
126.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
126.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
125.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
125.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
125.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
125.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
125.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
125.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
124.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
123.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
123.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
122.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
122.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
122.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
122.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
121.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
121.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
121.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
121.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
120.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
119.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
119.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
119.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
119.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
119.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
119.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
118.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
117.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
117.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
117.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
117.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
117.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
116.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
116.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
115.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
114.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
114.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
114.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
113.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
113.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
113.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
113.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
113.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
112.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
112.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
112.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
112.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
112.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
112.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
111.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
111.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
111.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
111.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
110.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
110.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
110.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
110.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
110.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
109.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
109.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
109.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
108.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
108.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
108.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
106.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
106.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
105.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
105.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
105.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
105.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
104.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
104.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
104.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
104.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
104.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
104.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
104.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
104.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
104.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
104.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
104.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
103.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
103.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
102.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
102.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
102.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
102.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
101.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
101.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
101.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
101.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
101.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
100.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
100.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
100.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
100.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
99.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
99.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
99.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
99.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
98.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
98.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
97.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
97.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
97.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
97.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
96.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
96.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
95.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
95.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
95.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
94.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
94.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
94.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
93.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
93.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
91.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
91.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
91.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
91.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
91.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
91.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
90.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
90.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
89.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
88.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
88.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
88.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
87.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
87.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
86.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
86.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
86.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
86.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
86.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
85.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
85.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
85.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
84.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
84.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
82.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
82.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
81.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
80.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
80.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
79.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
78.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
78.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
77.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
77.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
77.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
76.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
76.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
75.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
75.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
75.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
73.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
72.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
72.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
72.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
70.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
69.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
69.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
67.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
66.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
66.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
62.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
61.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
60.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
60.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
60.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
60.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
59.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
58.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
58.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
57.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
57.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
56.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
55.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
54.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
51.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
50.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
49.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
47.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
44.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
43.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
39.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
39.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
37.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
33.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
33.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 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.
EIF4H is potential 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
172.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45305
66 years, male, NA, stage:4, alive, 300 days
361.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
339.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
337.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
329.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
317.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
311.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
308.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
305.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
302.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
294.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
290.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
289.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
281.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
279.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
278.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
277.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
273.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
267.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
261.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
258.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
254.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
254.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
251.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
251.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
251.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
250.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
248.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
246.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
244.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
243.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
239.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
239.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
233.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
232.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
230.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
229.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
229.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
229.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
228.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
223.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
222.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
220.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
219.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
216.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
212.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
209.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
209.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
207.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
207.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
206.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
206.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
206.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
205.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
205.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
205.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
204.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
204.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
204.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
203.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
203.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
203.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
202.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
201.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
201.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
200.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
200.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
199.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
199.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
199.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
198.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
197.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
197.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
196.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
196.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
194.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
194.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
194.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
193.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
192.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
191.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
191.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
191.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
190.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
189.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
188.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
187.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
187.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
186.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
185.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
183.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
180.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
177.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
177.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
176.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
176.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
176.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
175.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
174.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
174.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
173.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
173.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
173.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
173.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
172.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
170.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
170.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
170.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
168.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
168.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
168.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
168.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
166.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
166.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
166.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
165.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
164.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
164.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
164.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
164.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
164.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
162.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
161.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
159.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
159.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
159.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
158.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
157.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
157.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
157.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
156.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
156.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
155.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
155.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
155.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
155.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
154.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
154.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
153.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
152.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
151.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
151.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
150.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
150.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
150.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
149.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
149.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
146.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
146.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
146.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
146.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
145.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
143.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
142.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
142.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
142.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
141.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
140.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
140.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
139.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
139.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
139.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
138.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
137.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
137.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
135.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
134.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
133.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
133.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
133.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
132.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
131.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
130.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
129.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
129.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
129.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
128.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
126.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
125.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
125.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
123.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
123.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
122.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
121.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
121.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
120.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
120.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
120.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
118.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
117.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
117.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
116.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
116.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
115.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
115.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
114.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
112.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
112.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
112.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
112.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
111.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
110.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
110.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
108.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
107.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
106.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
104.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
103.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
102.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
102.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
102.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
99.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
98.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
97.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
96.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
96.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
96.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
96.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
92.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
90.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
89.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
86.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
84.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
82.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
80.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
78.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
74.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
72.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
66.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
66.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
58.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
56.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
967
Tumor
0.9
957
Tumor
0.8
965
Tumor
0.7
481
Tumor
0.7
743
Tumor
0.7
1013
Tumor
0.5
977
Tumor
0.4
727
Tumor
0.4
1027
Tumor
0.4
425
Tumor
0.4
351
Tumor
0.4
313
Tumor
0.4
755
Tumor
0.4
915
Tumor
0.4
635
Tumor
0.4
951
Tumor
0.3
647
Tumor
0.3
487
Tumor
0.3
131
Tumor
0.3
661
Tumor
0.3
497
Tumor
0.3
785
Tumor
0.3
983
Tumor
0.3
1045
Tumor
0.3
865
Tumor
0.3
517
Tumor
0.3
911
Tumor
0.3
1021
Tumor
0.3
545
Tumor
0.3
411
Tumor
0.3
923
Tumor
0.3
285
Tumor
0.3
123
Tumor
0.3
937
Tumor
0.2
455
Tumor
0.2
537
Tumor
0.2
413
Tumor
0.2
925
Tumor
0.2
137
Tumor
0.2
483
Tumor
0.2
883
Tumor
0.2
227
Tumor
0.2
963
Tumor
0.2
484
Normal
0.2
943
Tumor
0.2
363
Tumor
0.2
491
Tumor
0.2
921
Tumor
0.2
966
Normal
0.2
912
Normal
0.2
471
Tumor
0.2
665
Tumor
0.2
573
Tumor
0.2
271
Tumor
0.2
663
Tumor
0.2
477
Tumor
0.2
571
Tumor
0.2
777
Tumor
0.2
125
Tumor
0.2
964
Normal
0.2
353
Tumor
0.2
161
Tumor
0.2
527
Tumor
0.2
975
Tumor
0.2
913
Tumor
0.2
231
Tumor
0.2
857
Tumor
0.1
221
Tumor
0.1
355
Tumor
0.1
881
Tumor
0.1
882
Normal
0.1
445
Tumor
0.1
918
Normal
0.1
431
Tumor
0.1
867
Tumor
0.1
518
Normal
0.1
515
Tumor
0.1
648
Normal
0.1
554
Normal
0.1
195
Tumor
0.1
1031
Tumor
0.1
327
Tumor
0.1
525
Tumor
0.1
786
Normal
0.1
385
Tumor
0.1
953
Tumor
0.1
924
Normal
0.1
695
Tumor
0.1
297
Tumor
0.1
878
Normal
0.1
728
Normal
0.1
141
Tumor
0.1
664
Normal
0.1
618
Normal
0.1
858
Normal
0.1
113
Tumor
0.1
955
Tumor
0.1
1026
Normal
0.1
298
Normal
0.1
171
Tumor
0.1
737
Tumor
0.1
498
Normal
0.1
696
Normal
0.1
824
Normal
0.1
968
Normal
0.1
393
Tumor
0.1
715
Tumor
0.1
815
Tumor
0.1
267
Tumor
0.1
387
Tumor
0.1
114
Normal
0.1
823
Tumor
0.1
286
Normal
0.1
232
Normal
0.1
627
Tumor
0.1
926
Normal
0.1
958
Normal
0.1
666
Normal
0.1
724
Normal
0.1
135
Tumor
0.1
617
Tumor
0.1
818
Normal
0.1
861
Tumor
0.1
435
Tumor
0.1
746
Normal
0.1
493
Tumor
0.1
914
Normal
0.1
851
Tumor
0.1
864
Normal
0.1
641
Tumor
0.0
922
Normal
0.0
436
Normal
0.0
474
Normal
0.0
1016
Normal
0.0
447
Tumor
0.0
222
Normal
0.0
568
Normal
0.0
528
Normal
0.0
981
Tumor
0.0
128
Normal
0.0
461
Tumor
0.0
714
Normal
0.0
628
Normal
0.0
662
Normal
0.0
642
Normal
0.0
443
Tumor
0.0
982
Normal
0.0
391
Tumor
0.0
741
Tumor
0.0
361
Tumor
0.0
816
Normal
0.0
111
Normal
0.0
944
Normal
0.0
852
Normal
0.0
357
Tumor
0.0
574
Normal
0.0
482
Normal
0.0
698
Normal
0.0
984
Normal
0.0
533
Tumor
0.0
916
Normal
0.0
283
Tumor
0.0
258
Normal
0.0
284
Normal
0.0
472
Normal
0.0
211
Tumor
0.0
671
Tumor
0.0
952
Normal
0.0
546
Normal
0.0
1022
Normal
0.0
873
Tumor
0.0
213
Tumor
0.0
228
Normal
0.0
415
Tumor
0.0
1014
Normal
0.0
516
Normal
0.0
1025
Tumor
0.0
526
Normal
0.0
412
Normal
0.0
311
Tumor
0.0
742
Normal
0.0
778
Normal
0.0
884
Normal
0.0
866
Normal
0.0
124
Normal
0.0
465
Tumor
0.0
572
Normal
0.0
196
Normal
0.0
697
Tumor
0.0
976
Normal
0.0
814
Normal
0.0
1015
Tumor
0.0
1041
Tumor
0.0
223
Tumor
0.0
341
Tumor
0.0
383
Tumor
0.0
1028
Normal
0.0
416
Normal
0.0
462
Normal
0.0
738
Normal
0.0
261
Tumor
0.0
191
Tumor
0.0
488
Normal
0.0
127
Tumor
0.0
553
Tumor
0.0
126
Normal
0.0
535
Tumor
0.0
142
Normal
0.0
1032
Normal
0.0
672
Normal
0.0
862
Normal
0.0
473
Tumor
0.0
564
Normal
0.0
427
Tumor
0.0
456
Normal
0.0
756
Normal
0.0
278
Normal
0.0
744
Normal
0.0
364
Normal
0.0
365
Tumor
0.0
148
Normal
0.0
978
Normal
0.0
448
Normal
0.0
716
Normal
0.0
368
Normal
0.0
1042
Normal
0.0
446
Normal
-0.1
954
Normal
-0.1
494
Normal
-0.1
615
Tumor
-0.1
938
Normal
-0.1
536
Normal
-0.1
172
Normal
-0.1
1046
Normal
-0.1
868
Normal
-0.1
426
Normal
-0.1
312
Normal
-0.1
362
Normal
-0.1
466
Normal
-0.1
272
Normal
-0.1
563
Tumor
-0.1
492
Normal
-0.1
396
Normal
-0.1
513
Tumor
-0.1
277
Tumor
-0.1
917
Tumor
-0.1
217
Tumor
-0.1
558
Normal
-0.1
388
Normal
-0.1
423
Tumor
-0.1
212
Normal
-0.1
723
Tumor
-0.1
523
Tumor
-0.1
636
Normal
-0.1
451
Tumor
-0.1
224
Normal
-0.1
257
Tumor
-0.1
514
Normal
-0.1
268
Normal
-0.1
214
Normal
-0.1
444
Normal
-0.1
162
Normal
-0.1
187
Tumor
-0.1
136
Normal
-0.1
813
Tumor
-0.1
467
Tumor
-0.1
463
Tumor
-0.1
186
Normal
-0.1
331
Tumor
-0.1
262
Normal
-0.1
534
Normal
-0.1
428
Normal
-0.1
538
Normal
-0.1
524
Normal
-0.1
218
Normal
-0.1
145
Tumor
-0.1
1044
Normal
-0.1
132
Normal
-0.1
352
Normal
-0.1
721
Tumor
-0.1
356
Normal
-0.1
956
Normal
-0.1
468
Normal
-0.1
452
Normal
-0.1
146
Normal
-0.2
375
Tumor
-0.2
874
Normal
-0.2
332
Normal
-0.2
386
Normal
-0.2
745
Tumor
-0.2
188
Normal
-0.2
478
Normal
-0.2
557
Tumor
-0.2
616
Normal
-0.2
392
Normal
-0.2
424
Normal
-0.2
464
Normal
-0.2
185
Tumor
-0.2
394
Normal
-0.2
192
Normal
-0.2
422
Normal
-0.2
328
Normal
-0.2
366
Normal
-0.2
432
Normal
-0.2
395
Tumor
-0.2
713
Tumor
-0.2
147
Tumor
-0.2
686
Normal
-0.2
433
Tumor
-0.2
376
Normal
-0.2
138
Normal
-0.2
358
Normal
-0.2
1043
Tumor
-0.2
384
Normal
-0.2
354
Normal
-0.2
314
Normal
-0.2
414
Normal
-0.2
434
Normal
-0.3
877
Tumor
-0.3
722
Normal
-0.3
344
Normal
-0.3
342
Normal
-0.3
367
Tumor
-0.3
817
Tumor
-0.3
112
Tumor
-0.3
567
Tumor
-0.3
343
Tumor
-0.4
421
Tumor
-0.4
863
Tumor
-0.7
685
Tumor
-0.8
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
