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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.
EIF3I is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
98.3
Number of samples
362
Samples
Sample
Description
TPM
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
304.2
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
262.5
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
251.2
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
250.3
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
220.8
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
217.4
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
215.5
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
198.3
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
195.0
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
190.4
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
187.5
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
186.5
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
186.1
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
185.6
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
183.1
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
181.8
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
181.7
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
177.7
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
176.7
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
170.8
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
168.1
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
165.7
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
165.1
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
164.6
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
163.7
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
163.3
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
163.2
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
161.9
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
160.0
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
159.7
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
159.2
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
157.7
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
156.6
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
156.1
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
154.0
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
153.6
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
153.0
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
150.0
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
149.9
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
149.5
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
149.0
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
149.0
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
148.9
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
148.0
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
146.3
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
146.1
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
144.8
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
143.4
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
143.1
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
143.1
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
142.5
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
142.2
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
141.7
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
140.5
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
140.3
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
140.1
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
139.9
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
139.6
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
139.1
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
138.7
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
138.2
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
137.4
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
136.6
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
136.3
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
134.7
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
134.2
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
133.4
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
132.8
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
132.2
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
131.6
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
131.4
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
130.8
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
130.7
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
130.6
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
128.6
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
128.3
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
128.3
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
128.2
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
128.0
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
125.8
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
124.4
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
124.2
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
123.7
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
123.5
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
122.7
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
119.7
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
119.6
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
119.2
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
118.4
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
117.7
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
117.4
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
117.3
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
117.2
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
117.2
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
117.0
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
116.6
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
116.4
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
116.0
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
115.9
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
115.8
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
115.4
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
115.2
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
114.2
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
114.1
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
113.4
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
112.9
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
112.8
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
112.8
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
112.6
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
112.2
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
112.2
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
112.1
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
111.6
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
111.5
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
110.7
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
109.9
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
109.4
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
109.3
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
109.2
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
109.0
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
108.8
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
107.9
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
107.9
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
107.9
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
107.4
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
107.2
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
107.1
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
106.8
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
106.8
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
106.6
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
106.4
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
105.9
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
104.6
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
104.4
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
104.3
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
104.2
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
103.8
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
103.3
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
102.9
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
102.8
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
102.6
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
101.9
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
101.6
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
101.1
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
101.1
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
100.1
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
100.0
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
99.5
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
99.3
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
99.2
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
99.2
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
98.9
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
98.5
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
98.2
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
98.0
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
97.6
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
97.2
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
97.1
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
97.0
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
96.7
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
96.6
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
96.4
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
96.1
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
96.0
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
95.8
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
95.2
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
95.0
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
94.9
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
94.4
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
94.2
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
93.9
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
92.4
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
91.6
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
91.6
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
91.5
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
91.1
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
90.3
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
90.1
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
89.5
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
89.3
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
88.8
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
88.5
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
88.4
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
88.2
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
87.9
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
86.7
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
86.4
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
86.4
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
86.0
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
85.7
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
85.1
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
84.8
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
84.6
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
83.9
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
83.6
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
83.2
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
82.9
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
82.8
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
82.7
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
82.5
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
82.4
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
82.2
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
82.1
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
81.9
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
81.7
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
81.6
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
81.5
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
81.5
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
81.2
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
81.2
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
80.9
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
80.8
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
80.8
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
80.6
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
80.4
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
80.3
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
80.2
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
80.1
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
79.7
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
79.4
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
79.4
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
79.0
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
78.5
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
78.5
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
78.1
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
77.9
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
77.4
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
77.3
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
77.2
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
76.8
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
76.8
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
76.8
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
76.6
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
76.5
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
76.3
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
76.0
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
75.9
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
75.7
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
75.7
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
75.4
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
75.3
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
75.1
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
74.9
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
74.4
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
74.3
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
74.1
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
74.0
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
73.8
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
73.6
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
73.5
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
73.5
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
73.4
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
72.7
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
72.7
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
72.6
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
72.4
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
72.4
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
72.1
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
72.1
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
71.9
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
71.7
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
71.5
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
71.2
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
71.1
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
70.9
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
70.8
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
70.7
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
70.0
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
69.9
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
69.9
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
69.7
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
69.3
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
69.1
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
68.9
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
68.8
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
68.6
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
68.4
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
68.4
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
68.4
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
68.0
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
67.7
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
67.3
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
67.2
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
67.0
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
65.9
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
65.8
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
65.7
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
65.5
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
65.1
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
65.0
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
64.9
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
64.8
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
63.8
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
63.6
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
63.4
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
63.3
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
63.2
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
63.2
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
63.1
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
62.4
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
61.9
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
61.5
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
61.4
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
61.3
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
61.0
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
61.0
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
60.7
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
60.6
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
60.2
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
59.9
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
59.8
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
58.4
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
58.2
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
58.1
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
57.9
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
57.9
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
57.6
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
57.6
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
57.1
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
57.1
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
57.1
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
55.8
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
55.5
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
55.4
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
55.3
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
55.3
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
54.8
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
54.8
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
54.7
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
53.0
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
52.6
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
52.3
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
51.5
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
51.3
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
50.5
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
50.2
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
50.2
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
49.7
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
49.4
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
49.2
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
48.8
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
48.7
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
48.0
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
47.1
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
46.5
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
46.4
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
46.0
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
45.9
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
45.6
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
44.8
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
44.7
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
44.3
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
44.2
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
41.9
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
40.9
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
36.6
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
35.8
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
35.6
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
35.2
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
34.0
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
27.5
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 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.
EIF3I 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
90.8
Number of samples
231
Samples
Sample
Description
TPM
DO45297
0 years, female, NA, stage:4, dead, 1260 days
248.1
DO23545
0 years, male, NA, stage:2, dead, 570 days
223.4
DO23508
0 years, female, NA, stage:2, alive, 390 days
219.5
DO23519
0 years, male, NA, stage:3, alive, 630 days
211.7
DO45211
0 years, male, NA, stage:3, alive, 240 days
197.5
DO45299
0 years, female, NA, stage:1, alive, 1440 days
195.1
DO45093
0 years, male, NA, stage:2, dead, 720 days
193.3
DO45307
0 years, female, NA, stage:4, dead, 240 days
193.1
DO50799
0 years, female, NA, stage:2, alive, 540 days
178.7
DO45145
0 years, male, NA, stage:3, dead, 60 days
175.4
DO50791
0 years, female, NA, stage:1, dead, 480 days
174.0
DO45237
0 years, male, NA, stage:2, alive, 900 days
155.4
DO45241
0 years, male, NA, stage:1, alive, 1080 days
155.1
DO45289
0 years, female, NA, stage:3, alive, 360 days
153.8
DO48741
0 years, male, NA, stage:3, alive, 240 days
151.8
DO45287
0 years, male, NA, stage:1, alive, 390 days
150.4
DO48747
0 years, male, NA, stage:3, alive, 540 days
149.3
DO45119
0 years, male, NA, stage:3, dead, 510 days
147.0
DO50806
0 years, male, NA, stage:4, alive, 540 days
144.2
DO50840
0 years, male, NA, stage:2, alive, 330 days
143.4
DO50829
0 years, male, NA, stage:3, alive, 570 days
142.7
DO50805
0 years, male, NA, stage:2, alive, 690 days
142.3
DO50778
0 years, male, NA, stage:4, alive, 630 days
141.3
DO45209
0 years, male, NA, stage:4, alive, 1350 days
141.0
DO45139
0 years, male, NA, stage:3, alive, 1320 days
141.0
DO45185
0 years, male, NA, stage:2, alive, 600 days
140.6
DO50832
0 years, male, NA, stage:3, alive, 90 days
137.9
DO45275
0 years, male, NA, stage:3, dead, 10 days
137.7
DO45092
0 years, male, NA, stage:4, dead, 1200 days
137.2
DO48697
0 years, female, NA, stage:2, dead, 810 days
136.0
DO48682
0 years, female, NA, stage:3, dead, 120 days
134.4
DO48706
0 years, male, NA, stage:2, alive, 870 days
134.2
DO48723
0 years, male, NA, stage:1, alive, 600 days
133.8
DO45267
0 years, male, NA, stage:3, dead, 570 days
132.3
DO45125
0 years, male, NA, stage:3, alive, 1680 days
131.2
DO50798
0 years, male, NA, stage:3, dead, 30 days
127.7
DO23521
0 years, male, NA, stage:3, alive, 1110 days
127.6
DO45173
0 years, male, NA, stage:3, alive, 1170 days
127.0
DO23526
0 years, male, NA, stage:3, alive, 1050 days
126.1
DO45269
0 years, male, NA, stage:3, alive, 750 days
126.0
DO45099
0 years, male, NA, stage:3, alive, 1590 days
123.8
DO45095
0 years, male, NA, stage:2, alive, 1620 days
123.7
DO23539
0 years, male, NA, stage:1, alive, 1110 days
121.9
DO23552
0 years, female, NA, stage:1, alive, 810 days
119.6
DO45283
0 years, male, NA, stage:3, alive, 510 days
119.4
DO45273
0 years, male, NA, stage:2, alive, 480 days
118.9
DO50802
0 years, male, NA, stage:2, alive, 930 days
118.6
DO45259
0 years, male, NA, stage:3, alive, 330 days
117.3
DO45193
0 years, female, NA, stage:4, dead, 120 days
114.8
DO50804
0 years, male, NA, stage:2, alive, 720 days
114.0
DO48732
0 years, male, NA, stage:3, alive, 630 days
111.3
DO23518
0 years, male, NA, stage:2, alive, 1320 days
111.1
DO48672
0 years, male, NA, stage:2, alive, 450 days
110.9
DO45149
0 years, female, NA, stage:2, alive, 1260 days
110.8
DO45165
0 years, male, NA, stage:2, alive, 690 days
109.9
DO23540
0 years, male, NA, stage:1, alive, 750 days
109.8
DO23533
0 years, male, NA, stage:2, alive, 900 days
109.8
DO45161
0 years, male, NA, stage:2, dead, 540 days
108.7
DO45155
0 years, male, NA, stage:2, alive, 2160 days
108.4
DO50785
0 years, male, NA, stage:4, dead, 90 days
108.1
DO50844
0 years, male, NA, stage:4, alive, 300 days
107.6
DO45281
0 years, male, NA, stage:4, alive, 750 days
107.4
DO23523
0 years, male, NA, stage:3, alive, 1080 days
105.7
DO23525
0 years, male, NA, stage:4, alive, 1050 days
105.7
DO45255
0 years, male, NA, stage:3, alive, 720 days
105.6
DO50839
0 years, female, NA, stage:3, alive, 330 days
105.6
DO45171
0 years, male, NA, stage:3, alive, 600 days
105.2
DO48704
0 years, female, NA, stage:3, alive, 750 days
103.6
DO23510
0 years, female, NA, stage:2, alive, 870 days
102.4
DO50776
0 years, male, NA, stage:1, alive, 690 days
101.9
DO45163
0 years, male, NA, stage:2, alive, 960 days
101.8
DO48701
0 years, male, NA, stage:2, alive, 780 days
101.1
DO45219
0 years, male, NA, stage:2, alive, 1080 days
100.8
DO45217
0 years, female, NA, stage:3, dead, 270 days
100.5
DO45277
0 years, male, NA, stage:3, alive, 600 days
100.4
DO48730
0 years, female, NA, stage:2, alive, 630 days
100.0
DO50809
0 years, male, NA, stage:3, dead, 720 days
99.6
DO23542
0 years, male, NA, stage:3, alive, 960 days
99.5
DO50783
0 years, male, NA, stage:3, alive, 480 days
99.4
DO48737
0 years, male, NA, stage:1, alive, 720 days
98.1
DO45175
0 years, male, NA, stage:2, alive, 1140 days
97.8
DO23530
0 years, male, NA, stage:4, dead, 180 days
97.5
DO50800
0 years, male, NA, stage:2, alive, 510 days
96.9
DO50813
0 years, male, NA, stage:2, alive, 420 days
96.5
DO45231
0 years, male, NA, stage:2, alive, 930 days
95.9
DO45197
0 years, male, NA, stage:2, alive, 1170 days
95.7
DO45285
0 years, male, NA, stage:3, alive, 480 days
94.9
DO50822
0 years, male, NA, stage:2, alive, 510 days
94.7
DO45157
0 years, male, NA, stage:2, alive, 1980 days
93.4
DO45135
0 years, male, NA, stage:1, alive, 1410 days
92.5
DO48751
0 years, male, NA, stage:2, dead, 480 days
92.4
DO50808
0 years, male, NA, stage:2, alive, 570 days
91.9
DO48695
0 years, male, NA, stage:2, alive, 720 days
91.4
DO45131
0 years, male, NA, stage:4, dead, 360 days
91.0
DO45205
0 years, female, NA, stage:2, dead, 90 days
91.0
DO45235
0 years, female, NA, stage:1, alive, 900 days
90.6
DO23528
0 years, female, NA, stage:2, alive, 1020 days
90.1
DO50859
0 years, male, NA, stage:2, alive, 180 days
89.8
DO48716
0 years, male, NA, stage:2, alive, 720 days
89.4
DO45123
0 years, female, NA, stage:2, dead, 570 days
89.0
DO48693
0 years, male, NA, stage:2, alive, 900 days
88.8
DO50814
0 years, male, NA, stage:3, alive, 420 days
88.5
DO23515
0 years, male, NA, stage:2, alive, 1230 days
88.1
DO48760
0 years, female, NA, stage:2, alive, 690 days
86.9
DO48712
0 years, male, NA, stage:2, alive, 810 days
86.3
DO23546
0 years, male, NA, stage:2, alive, 1050 days
85.8
DO50818
0 years, male, NA, stage:2, alive, 510 days
85.6
DO45249
0 years, male, NA, stage:1, alive, 630 days
85.6
DO48759
0 years, male, NA, stage:3, alive, 720 days
85.2
DO50774
0 years, female, NA, stage:2, alive, 720 days
84.7
DO45143
0 years, male, NA, stage:3, alive, 1290 days
84.7
DO23516
0 years, male, NA, stage:3, dead, 20 days
84.6
DO45169
0 years, male, NA, stage:3, alive, 1350 days
84.3
DO45261
0 years, male, NA, stage:3, alive, 990 days
84.2
DO45127
0 years, male, NA, stage:3, dead, 420 days
84.2
DO45105
0 years, male, NA, stage:1, alive, 1680 days
84.2
DO50815
0 years, male, NA, stage:3, alive, 150 days
84.1
DO45301
0 years, male, NA, stage:2, dead, 1440 days
84.0
DO45213
0 years, male, NA, stage:1, alive, 1200 days
82.7
DO23527
0 years, male, NA, stage:1, alive, 1050 days
82.0
DO23549
0 years, male, NA, stage:3, alive, 990 days
81.9
DO48677
0 years, male, NA, stage:3, alive, 1140 days
81.7
DO23550
0 years, male, NA, stage:1, alive, 990 days
81.4
DO50787
0 years, male, NA, stage:3, alive, 480 days
80.1
DO23514
0 years, male, NA, stage:2, alive, 1290 days
79.6
DO45103
0 years, male, NA, stage:3, alive, 450 days
79.6
DO45225
0 years, male, NA, stage:1, alive, 1050 days
79.1
DO48727
0 years, female, NA, stage:2, dead, 390 days
78.2
DO45305
0 years, male, NA, stage:4, alive, 300 days
78.1
DO45263
0 years, male, NA, stage:3, dead, 270 days
77.7
DO48757
0 years, female, NA, stage:3, alive, 480 days
77.6
DO227801
0 years, female, NA, stage:1, alive, 660 days
77.2
DO48743
0 years, female, NA, stage:2, alive, 570 days
77.2
DO45153
0 years, female, NA, stage:2, alive, 1380 days
76.8
DO23543
0 years, male, NA, stage:2, alive, 1020 days
76.8
DO23537
0 years, male, NA, stage:2, dead, 900 days
76.7
DO23547
0 years, male, NA, stage:1, alive, 1020 days
76.5
DO45265
0 years, male, NA, stage:3, alive, 1020 days
76.3
DO48717
0 years, male, NA, stage:4, dead, 180 days
76.1
DO45097
0 years, male, NA, stage:3, alive, 1620 days
75.7
DO45129
0 years, male, NA, stage:3, alive, 1470 days
74.9
DO48733
0 years, male, NA, stage:2, alive, 600 days
74.5
DO50807
0 years, male, NA, stage:1, alive, 540 days
74.1
DO48761
0 years, male, NA, stage:2, alive, 870 days
73.5
DO48681
0 years, male, NA, stage:2, alive, 900 days
72.2
DO23513
0 years, male, NA, stage:3, alive, 1200 days
71.8
DO45303
0 years, female, NA, stage:3, alive, 990 days
71.7
DO23541
0 years, male, NA, stage:2, alive, 930 days
71.3
DO48720
0 years, female, NA, stage:2, alive, 570 days
71.1
DO45223
0 years, male, NA, stage:4, alive, 1020 days
71.0
DO227643
0 years, male, NA, stage:2, alive, 1260 days
70.8
DO48746
0 years, male, NA, stage:3, alive, 570 days
70.6
DO45096
0 years, male, NA, stage:2, dead, 1290 days
70.5
DO23548
0 years, female, NA, stage:1, alive, 840 days
70.5
DO45253
0 years, male, NA, stage:2, alive, 870 days
70.1
DO48679
0 years, male, NA, stage:2, alive, 1200 days
69.3
DO45101
0 years, male, NA, stage:2, alive, 1680 days
69.2
DO45203
0 years, female, NA, stage:2, alive, 1170 days
68.6
DO50819
0 years, female, NA, stage:2, alive, 510 days
68.1
DO45207
0 years, male, NA, stage:1, alive, 1050 days
68.0
DO23529
0 years, male, NA, stage:4, alive, 930 days
67.3
DO23544
0 years, male, NA, stage:2, alive, 960 days
67.2
DO45109
0 years, male, NA, stage:2, alive, 1590 days
66.9
DO50816
0 years, male, NA, stage:2, alive, 390 days
66.8
DO45221
0 years, female, NA, stage:4, dead, 390 days
66.5
DO45243
0 years, female, NA, stage:3, alive, 930 days
66.4
DO50811
0 years, male, NA, stage:1, alive, 450 days
66.3
DO45181
0 years, female, NA, stage:2, alive, 1200 days
65.8
DO45199
0 years, female, NA, stage:2, alive, 1350 days
65.6
DO45245
0 years, female, NA, stage:2, dead, 240 days
65.2
DO48725
0 years, male, NA, stage:1, alive, 780 days
65.0
DO23534
0 years, male, NA, stage:2, alive, 840 days
63.7
DO45121
0 years, male, NA, stage:3, alive, 1530 days
63.3
DO45251
0 years, female, NA, stage:2, alive, 900 days
63.1
DO50803
0 years, female, NA, stage:1, alive, 540 days
63.0
DO48742
0 years, male, NA, stage:2, alive, 600 days
62.8
DO50850
0 years, male, NA, stage:3, alive, 720 days
62.5
DO48728
0 years, female, NA, stage:2, alive, 150 days
62.3
DO45159
0 years, male, NA, stage:3, alive, 1470 days
62.3
DO45094
0 years, male, NA, stage:3, alive, 1650 days
62.0
DO50845
0 years, male, NA, stage:3, alive, 210 days
61.7
DO23538
0 years, male, NA, stage:2, alive, 450 days
61.2
DO50817
0 years, male, NA, stage:2, alive, 390 days
61.0
DO45179
0 years, female, NA, stage:2, alive, 600 days
59.9
DO23535
0 years, male, NA, stage:1, alive, 960 days
59.7
DO45233
0 years, male, NA, stage:3, alive, 900 days
59.4
DO45195
0 years, male, NA, stage:1, alive, 390 days
59.3
DO45229
0 years, male, NA, stage:1, alive, 990 days
59.0
DO23536
0 years, male, NA, stage:2, alive, 930 days
58.8
DO45115
0 years, male, NA, stage:2, alive, 840 days
58.4
DO45141
0 years, male, NA, stage:2, alive, 1320 days
58.3
DO50857
0 years, male, NA, stage:2, alive, 210 days
58.1
DO23509
0 years, male, NA, stage:3, dead, 780 days
58.0
DO48721
0 years, female, NA, stage:1, alive, 900 days
58.0
DO23512
0 years, male, NA, stage:1, alive, 1260 days
56.7
DO48736
0 years, female, NA, stage:1, alive, 600 days
56.3
DO45111
0 years, male, NA, stage:2, alive, 1590 days
55.1
DO45279
0 years, male, NA, stage:3, alive, 1290 days
54.8
DO48719
0 years, male, NA, stage:2, alive, 690 days
54.3
DO23532
0 years, female, NA, stage:1, alive, 960 days
54.3
DO45177
0 years, female, NA, stage:3, alive, 1260 days
54.2
DO23517
0 years, male, NA, stage:2, alive, 1200 days
53.7
DO45257
0 years, male, NA, stage:3, alive, 810 days
52.1
DO45183
0 years, female, NA, stage:2, dead, 570 days
51.8
DO48700
0 years, female, NA, stage:2, alive, 810 days
51.2
DO45215
0 years, male, NA, stage:2, alive, 1170 days
51.0
DO45133
0 years, male, NA, stage:3, dead, 660 days
50.9
DO50793
0 years, male, NA, stage:4, alive, 540 days
50.7
DO45107
0 years, female, NA, stage:2, alive, 1710 days
48.7
DO48715
0 years, female, NA, stage:2, dead, 690 days
47.7
DO50855
0 years, male, NA, stage:2, alive, 570 days
47.5
DO23531
0 years, female, NA, stage:3, alive, 900 days
47.2
DO23551
0 years, male, NA, stage:3, dead, 150 days
47.1
DO48674
0 years, male, NA, stage:2, alive, 1260 days
46.8
DO23511
0 years, female, NA, stage:3, dead, 180 days
46.8
DO23524
0 years, female, NA, stage:2, alive, 1050 days
45.6
DO45189
0 years, female, NA, stage:2, alive, 1200 days
45.6
DO45137
0 years, male, NA, stage:1, alive, 1320 days
42.7
DO50820
0 years, female, NA, stage:3, alive, 510 days
41.7
DO45167
0 years, male, NA, stage:2, dead, 1440 days
41.4
DO45227
0 years, female, NA, stage:2, alive, 1020 days
41.2
DO45113
0 years, male, NA, stage:3, alive, 1560 days
40.7
DO45091
0 years, male, NA, stage:2, dead, 1320 days
40.1
DO50789
0 years, female, NA, stage:2, alive, 570 days
39.7
DO45187
0 years, female, NA, stage:1, alive, 1260 days
39.4
DO45201
0 years, male, NA, stage:1, alive, 900 days
38.9
DO50825
0 years, male, NA, stage:2, alive, 390 days
38.1
DO45239
0 years, male, NA, stage:2, alive, 870 days
37.7
DO45247
0 years, female, NA, stage:2, alive, 210 days
34.8
DO45191
0 years, female, NA, stage:2, alive, 1200 days
32.6
DO45117
0 years, female, NA, stage:2, dead, 1110 days
32.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
685
Tumor
0.8
865
Tumor
0.6
983
Tumor
0.6
285
Tumor
0.6
967
Tumor
0.5
965
Tumor
0.5
937
Tumor
0.5
951
Tumor
0.5
223
Tumor
0.5
395
Tumor
0.5
331
Tumor
0.5
367
Tumor
0.4
815
Tumor
0.4
123
Tumor
0.4
535
Tumor
0.4
851
Tumor
0.4
557
Tumor
0.4
743
Tumor
0.4
1015
Tumor
0.3
355
Tumor
0.3
537
Tumor
0.3
1027
Tumor
0.3
1021
Tumor
0.3
473
Tumor
0.3
695
Tumor
0.3
921
Tumor
0.3
443
Tumor
0.3
351
Tumor
0.3
227
Tumor
0.3
363
Tumor
0.3
533
Tumor
0.3
131
Tumor
0.3
567
Tumor
0.3
267
Tumor
0.3
724
Normal
0.2
1013
Tumor
0.2
497
Tumor
0.2
697
Tumor
0.2
327
Tumor
0.2
1025
Tumor
0.2
715
Tumor
0.2
523
Tumor
0.2
877
Tumor
0.2
283
Tumor
0.2
661
Tumor
0.2
745
Tumor
0.2
727
Tumor
0.2
311
Tumor
0.2
755
Tumor
0.2
277
Tumor
0.2
883
Tumor
0.2
271
Tumor
0.2
925
Tumor
0.2
487
Tumor
0.2
147
Tumor
0.2
813
Tumor
0.1
1031
Tumor
0.1
953
Tumor
0.1
411
Tumor
0.1
737
Tumor
0.1
943
Tumor
0.1
313
Tumor
0.1
171
Tumor
0.1
525
Tumor
0.1
515
Tumor
0.1
977
Tumor
0.1
777
Tumor
0.1
527
Tumor
0.1
955
Tumor
0.1
493
Tumor
0.1
471
Tumor
0.1
913
Tumor
0.1
981
Tumor
0.1
261
Tumor
0.1
553
Tumor
0.1
1041
Tumor
0.1
746
Normal
0.1
545
Tumor
0.1
823
Tumor
0.1
231
Tumor
0.1
923
Tumor
0.1
513
Tumor
0.1
387
Tumor
0.1
861
Tumor
0.1
517
Tumor
0.1
573
Tumor
0.1
353
Tumor
0.1
785
Tumor
0.1
341
Tumor
0.1
1043
Tumor
0.1
113
Tumor
0.1
125
Tumor
0.1
975
Tumor
0.1
881
Tumor
0.1
393
Tumor
0.1
957
Tumor
0.1
391
Tumor
0.0
211
Tumor
0.0
873
Tumor
0.0
413
Tumor
0.0
463
Tumor
0.0
627
Tumor
0.0
385
Tumor
0.0
451
Tumor
0.0
952
Normal
0.0
483
Tumor
0.0
257
Tumor
0.0
963
Tumor
0.0
817
Tumor
0.0
185
Tumor
0.0
465
Tumor
0.0
635
Tumor
0.0
224
Normal
0.0
663
Tumor
0.0
375
Tumor
0.0
742
Normal
0.0
221
Tumor
0.0
491
Tumor
0.0
915
Tumor
0.0
641
Tumor
0.0
554
Normal
0.0
713
Tumor
0.0
286
Normal
0.0
966
Normal
0.0
671
Tumor
0.0
447
Tumor
0.0
297
Tumor
0.0
135
Tumor
0.0
228
Normal
0.0
665
Tumor
0.0
1026
Normal
0.0
137
Tumor
0.0
814
Normal
0.0
455
Tumor
0.0
536
Normal
0.0
518
Normal
0.0
284
Normal
0.0
412
Normal
0.0
1028
Normal
0.0
141
Tumor
0.0
738
Normal
0.0
431
Tumor
0.0
136
Normal
0.0
212
Normal
0.0
647
Tumor
0.0
217
Tumor
-0.1
461
Tumor
-0.1
778
Normal
-0.1
617
Tumor
-0.1
686
Normal
-0.1
114
Normal
-0.1
546
Normal
-0.1
526
Normal
-0.1
452
Normal
-0.1
956
Normal
-0.1
492
Normal
-0.1
477
Tumor
-0.1
878
Normal
-0.1
534
Normal
-0.1
728
Normal
-0.1
756
Normal
-0.1
538
Normal
-0.1
615
Tumor
-0.1
571
Tumor
-0.1
744
Normal
-0.1
721
Tumor
-0.1
914
Normal
-0.1
124
Normal
-0.1
342
Normal
-0.1
186
Normal
-0.1
448
Normal
-0.1
696
Normal
-0.1
343
Tumor
-0.1
268
Normal
-0.1
911
Tumor
-0.1
922
Normal
-0.1
142
Normal
-0.1
427
Tumor
-0.1
213
Tumor
-0.1
714
Normal
-0.1
524
Normal
-0.1
357
Tumor
-0.1
924
Normal
-0.1
786
Normal
-0.1
128
Normal
-0.1
723
Tumor
-0.1
358
Normal
-0.1
816
Normal
-0.1
272
Normal
-0.1
618
Normal
-0.1
262
Normal
-0.1
862
Normal
-0.1
474
Normal
-0.1
161
Tumor
-0.1
172
Normal
-0.1
258
Normal
-0.1
421
Tumor
-0.1
628
Normal
-0.1
1014
Normal
-0.1
716
Normal
-0.1
494
Normal
-0.1
1022
Normal
-0.1
918
Normal
-0.2
516
Normal
-0.2
112
Tumor
-0.2
187
Tumor
-0.2
944
Normal
-0.2
433
Tumor
-0.2
636
Normal
-0.2
866
Normal
-0.2
978
Normal
-0.2
484
Normal
-0.2
868
Normal
-0.2
642
Normal
-0.2
867
Tumor
-0.2
864
Normal
-0.2
698
Normal
-0.2
344
Normal
-0.2
874
Normal
-0.2
435
Tumor
-0.2
386
Normal
-0.2
376
Normal
-0.2
356
Normal
-0.2
616
Normal
-0.2
188
Normal
-0.2
741
Tumor
-0.2
568
Normal
-0.2
824
Normal
-0.2
425
Tumor
-0.2
528
Normal
-0.2
111
Normal
-0.2
1044
Normal
-0.2
388
Normal
-0.2
392
Normal
-0.2
361
Tumor
-0.2
232
Normal
-0.2
365
Tumor
-0.2
148
Normal
-0.2
278
Normal
-0.2
434
Normal
-0.2
396
Normal
-0.2
126
Normal
-0.2
466
Normal
-0.2
968
Normal
-0.2
1016
Normal
-0.2
938
Normal
-0.2
488
Normal
-0.2
1045
Tumor
-0.2
858
Normal
-0.2
383
Tumor
-0.2
984
Normal
-0.2
415
Tumor
-0.2
364
Normal
-0.2
857
Tumor
-0.2
162
Normal
-0.2
218
Normal
-0.2
852
Normal
-0.2
138
Normal
-0.2
352
Normal
-0.2
462
Normal
-0.2
416
Normal
-0.2
916
Normal
-0.2
145
Tumor
-0.2
467
Tumor
-0.2
468
Normal
-0.2
127
Tumor
-0.2
214
Normal
-0.2
666
Normal
-0.2
472
Normal
-0.2
926
Normal
-0.2
436
Normal
-0.2
982
Normal
-0.2
362
Normal
-0.2
498
Normal
-0.2
1046
Normal
-0.2
332
Normal
-0.3
222
Normal
-0.3
394
Normal
-0.3
954
Normal
-0.3
648
Normal
-0.3
464
Normal
-0.3
514
Normal
-0.3
354
Normal
-0.3
564
Normal
-0.3
312
Normal
-0.3
917
Tumor
-0.3
132
Normal
-0.3
558
Normal
-0.3
368
Normal
-0.3
574
Normal
-0.3
912
Normal
-0.3
422
Normal
-0.3
1032
Normal
-0.3
196
Normal
-0.3
314
Normal
-0.3
298
Normal
-0.3
882
Normal
-0.3
722
Normal
-0.3
456
Normal
-0.3
366
Normal
-0.3
563
Tumor
-0.3
572
Normal
-0.3
976
Normal
-0.3
426
Normal
-0.3
672
Normal
-0.3
964
Normal
-0.3
384
Normal
-0.3
818
Normal
-0.3
481
Tumor
-0.3
482
Normal
-0.3
195
Tumor
-0.3
863
Tumor
-0.3
664
Normal
-0.4
662
Normal
-0.4
446
Normal
-0.4
1042
Normal
-0.4
884
Normal
-0.4
423
Tumor
-0.4
146
Normal
-0.4
414
Normal
-0.4
445
Tumor
-0.4
444
Normal
-0.4
424
Normal
-0.4
432
Normal
-0.4
192
Normal
-0.5
428
Normal
-0.5
478
Normal
-0.5
328
Normal
-0.5
958
Normal
-0.5
191
Tumor
-0.6
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
