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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.
MRPL53 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
110.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
278.1
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
276.7
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
253.8
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
249.3
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
248.1
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
237.7
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
225.0
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
217.6
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
213.7
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
207.4
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
204.7
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
201.8
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
194.2
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
191.5
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
190.7
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
188.5
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
187.5
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
182.1
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
179.3
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
178.2
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
177.5
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
172.8
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
171.6
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
171.6
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
171.2
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
169.3
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
167.0
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
166.2
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
165.4
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
165.0
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
164.8
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
163.3
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
163.2
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
162.5
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
161.7
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
161.4
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
160.3
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
159.6
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
158.8
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
156.2
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
155.8
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
155.6
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
155.4
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
154.6
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
153.4
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
151.5
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
150.3
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
150.0
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
149.7
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
148.8
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
147.6
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
147.6
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
147.2
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
146.6
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
145.9
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
145.6
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
144.9
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
143.7
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
143.4
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
143.4
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
143.0
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
142.4
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
142.4
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
139.4
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
139.0
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
138.3
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
138.3
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
137.8
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
137.8
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
136.3
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
136.3
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
135.6
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
135.6
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
132.9
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
132.7
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
131.9
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
131.9
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
131.2
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
130.7
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
130.3
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
130.2
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
130.2
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
129.8
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
129.6
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
128.1
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
127.1
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
126.5
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
126.5
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
126.3
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
126.3
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
125.8
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
125.1
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
124.6
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
124.5
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
124.2
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
124.2
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
124.1
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
124.0
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
123.4
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
122.8
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
122.7
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
122.4
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
122.4
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
121.9
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
121.7
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
121.6
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
121.4
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
121.4
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
121.3
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
121.3
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
121.1
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
120.9
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
120.7
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
120.5
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
120.3
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
120.2
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
120.2
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
120.0
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
119.4
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
119.2
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
119.1
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
118.9
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
118.6
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
118.1
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
118.0
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
118.0
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
117.8
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
117.4
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
117.4
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
117.2
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
117.1
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
116.9
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
116.3
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
116.3
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
116.3
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
116.1
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
115.9
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
115.8
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
115.7
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
115.6
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
115.3
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
114.9
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
114.8
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
114.7
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
114.7
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
114.5
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
114.5
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
114.4
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
114.0
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
114.0
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
113.9
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
113.4
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
113.3
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
113.1
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
112.7
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
112.7
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
112.2
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
112.2
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
111.7
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
111.4
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
111.4
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
111.1
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
111.0
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
110.3
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
110.2
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
110.1
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
109.9
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
108.9
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
108.8
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
108.5
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
108.4
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
107.4
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
106.2
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
105.9
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
105.8
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
105.6
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
105.6
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
104.7
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
104.6
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
104.4
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
104.1
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
103.8
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
103.3
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
103.1
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
102.8
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
102.7
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
102.2
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
102.1
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
101.4
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
101.2
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
100.6
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
100.1
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
99.6
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
99.6
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
99.3
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
99.3
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
98.0
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
97.9
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
97.9
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
97.7
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
97.4
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
97.3
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
97.3
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
97.2
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
96.7
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
96.6
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
96.4
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
96.4
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
96.4
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
96.4
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
96.3
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
95.8
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
95.7
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
95.4
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
95.3
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
95.1
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
95.1
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
94.9
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
94.6
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
94.4
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
94.2
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
94.1
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
93.1
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
93.1
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
92.8
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
92.1
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
92.0
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
91.7
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
91.5
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
91.5
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
91.3
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
91.1
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
90.7
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
89.8
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
89.5
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
89.5
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
89.2
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
89.2
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
89.2
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
89.2
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
89.2
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
88.3
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
88.0
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
87.8
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
87.7
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
87.2
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
87.2
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
87.1
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
86.8
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
86.6
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
86.5
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
86.4
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
86.3
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
86.3
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
86.2
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
86.2
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
86.0
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
85.9
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
85.8
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
85.2
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
85.2
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
84.9
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
84.1
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
83.5
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
83.3
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
83.2
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
83.2
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
83.2
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
83.0
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
82.9
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
82.3
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
82.1
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
82.0
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
82.0
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
81.8
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
81.7
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
81.4
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
80.9
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
80.8
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
80.6
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
80.5
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
80.3
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
80.3
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
80.2
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
79.7
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
79.7
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
79.6
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
79.3
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
79.0
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
78.9
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
78.8
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
78.4
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
78.4
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
78.4
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
78.3
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
78.0
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
77.7
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
77.6
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
77.5
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
77.2
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
77.1
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
76.8
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
75.9
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
75.6
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
75.4
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
75.2
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
74.9
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
74.7
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
73.5
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
73.1
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
73.0
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
72.9
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
72.5
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
72.3
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
72.2
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
71.7
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
71.6
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
71.5
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
71.4
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
71.3
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
70.8
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
70.5
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
70.4
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
70.2
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
70.0
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
69.3
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
68.9
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
68.8
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
68.5
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
68.3
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
68.3
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
67.4
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
67.4
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
66.8
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
66.6
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
66.2
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
65.8
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
65.4
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
64.9
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
64.9
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
64.4
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
63.4
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
63.1
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
62.5
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
61.7
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
61.6
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
60.8
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
60.3
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
60.0
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
57.6
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
57.2
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
56.7
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
56.4
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
55.9
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
55.4
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
52.6
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
51.8
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
50.5
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
50.0
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
50.0
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
43.2
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 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.
MRPL53 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
39.3
Number of samples
231
Samples
Sample
Description
TPM
DO23525
0 years, male, NA, stage:4, alive, 1050 days
116.7
DO45149
0 years, female, NA, stage:2, alive, 1260 days
115.5
DO50839
0 years, female, NA, stage:3, alive, 330 days
105.9
DO23519
0 years, male, NA, stage:3, alive, 630 days
101.7
DO48747
0 years, male, NA, stage:3, alive, 540 days
89.7
DO50814
0 years, male, NA, stage:3, alive, 420 days
85.5
DO45285
0 years, male, NA, stage:3, alive, 480 days
82.0
DO23511
0 years, female, NA, stage:3, dead, 180 days
81.8
DO23508
0 years, female, NA, stage:2, alive, 390 days
81.3
DO23526
0 years, male, NA, stage:3, alive, 1050 days
79.5
DO48741
0 years, male, NA, stage:3, alive, 240 days
76.3
DO45289
0 years, female, NA, stage:3, alive, 360 days
75.1
DO50783
0 years, male, NA, stage:3, alive, 480 days
67.9
DO45299
0 years, female, NA, stage:1, alive, 1440 days
67.5
DO50799
0 years, female, NA, stage:2, alive, 540 days
67.3
DO48737
0 years, male, NA, stage:1, alive, 720 days
66.3
DO45119
0 years, male, NA, stage:3, dead, 510 days
64.9
DO50785
0 years, male, NA, stage:4, dead, 90 days
64.1
DO45193
0 years, female, NA, stage:4, dead, 120 days
63.3
DO23539
0 years, male, NA, stage:1, alive, 1110 days
62.8
DO45145
0 years, male, NA, stage:3, dead, 60 days
62.6
DO45209
0 years, male, NA, stage:4, alive, 1350 days
62.2
DO23545
0 years, male, NA, stage:2, dead, 570 days
61.4
DO50845
0 years, male, NA, stage:3, alive, 210 days
61.3
DO50806
0 years, male, NA, stage:4, alive, 540 days
59.4
DO45269
0 years, male, NA, stage:3, alive, 750 days
59.0
DO45097
0 years, male, NA, stage:3, alive, 1620 days
58.9
DO45185
0 years, male, NA, stage:2, alive, 600 days
58.1
DO50809
0 years, male, NA, stage:3, dead, 720 days
57.7
DO23532
0 years, female, NA, stage:1, alive, 960 days
56.6
DO45241
0 years, male, NA, stage:1, alive, 1080 days
56.4
DO48759
0 years, male, NA, stage:3, alive, 720 days
56.3
DO45161
0 years, male, NA, stage:2, dead, 540 days
55.5
DO23540
0 years, male, NA, stage:1, alive, 750 days
54.4
DO50776
0 years, male, NA, stage:1, alive, 690 days
54.1
DO50844
0 years, male, NA, stage:4, alive, 300 days
54.0
DO45273
0 years, male, NA, stage:2, alive, 480 days
53.6
DO45211
0 years, male, NA, stage:3, alive, 240 days
52.1
DO45127
0 years, male, NA, stage:3, dead, 420 days
51.4
DO50825
0 years, male, NA, stage:2, alive, 390 days
51.3
DO23521
0 years, male, NA, stage:3, alive, 1110 days
51.2
DO45305
0 years, male, NA, stage:4, alive, 300 days
51.0
DO48723
0 years, male, NA, stage:1, alive, 600 days
50.1
DO50802
0 years, male, NA, stage:2, alive, 930 days
49.5
DO45249
0 years, male, NA, stage:1, alive, 630 days
49.3
DO50791
0 years, female, NA, stage:1, dead, 480 days
49.0
DO50829
0 years, male, NA, stage:3, alive, 570 days
48.9
DO23523
0 years, male, NA, stage:3, alive, 1080 days
48.8
DO48679
0 years, male, NA, stage:2, alive, 1200 days
48.6
DO45105
0 years, male, NA, stage:1, alive, 1680 days
48.3
DO23529
0 years, male, NA, stage:4, alive, 930 days
48.1
DO45217
0 years, female, NA, stage:3, dead, 270 days
47.6
DO50813
0 years, male, NA, stage:2, alive, 420 days
47.6
DO23515
0 years, male, NA, stage:2, alive, 1230 days
47.5
DO48701
0 years, male, NA, stage:2, alive, 780 days
47.5
DO45092
0 years, male, NA, stage:4, dead, 1200 days
47.3
DO50805
0 years, male, NA, stage:2, alive, 690 days
46.4
DO45199
0 years, female, NA, stage:2, alive, 1350 days
46.1
DO45307
0 years, female, NA, stage:4, dead, 240 days
46.0
DO45117
0 years, female, NA, stage:2, dead, 1110 days
45.9
DO48719
0 years, male, NA, stage:2, alive, 690 days
45.4
DO50855
0 years, male, NA, stage:2, alive, 570 days
44.8
DO23513
0 years, male, NA, stage:3, alive, 1200 days
44.7
DO23537
0 years, male, NA, stage:2, dead, 900 days
44.6
DO23510
0 years, female, NA, stage:2, alive, 870 days
44.0
DO48717
0 years, male, NA, stage:4, dead, 180 days
43.7
DO50840
0 years, male, NA, stage:2, alive, 330 days
43.6
DO45131
0 years, male, NA, stage:4, dead, 360 days
43.4
DO23516
0 years, male, NA, stage:3, dead, 20 days
43.2
DO50816
0 years, male, NA, stage:2, alive, 390 days
43.1
DO45275
0 years, male, NA, stage:3, dead, 10 days
42.9
DO45107
0 years, female, NA, stage:2, alive, 1710 days
42.6
DO48697
0 years, female, NA, stage:2, dead, 810 days
42.5
DO23512
0 years, male, NA, stage:1, alive, 1260 days
42.1
DO45125
0 years, male, NA, stage:3, alive, 1680 days
42.0
DO45227
0 years, female, NA, stage:2, alive, 1020 days
41.9
DO45245
0 years, female, NA, stage:2, dead, 240 days
41.9
DO50822
0 years, male, NA, stage:2, alive, 510 days
41.8
DO23549
0 years, male, NA, stage:3, alive, 990 days
41.5
DO23543
0 years, male, NA, stage:2, alive, 1020 days
41.4
DO23547
0 years, male, NA, stage:1, alive, 1020 days
41.3
DO48757
0 years, female, NA, stage:3, alive, 480 days
41.1
DO45183
0 years, female, NA, stage:2, dead, 570 days
41.1
DO50808
0 years, male, NA, stage:2, alive, 570 days
40.8
DO50817
0 years, male, NA, stage:2, alive, 390 days
40.7
DO50798
0 years, male, NA, stage:3, dead, 30 days
40.7
DO48715
0 years, female, NA, stage:2, dead, 690 days
40.6
DO48674
0 years, male, NA, stage:2, alive, 1260 days
40.4
DO23548
0 years, female, NA, stage:1, alive, 840 days
40.3
DO48751
0 years, male, NA, stage:2, dead, 480 days
40.1
DO45095
0 years, male, NA, stage:2, alive, 1620 days
40.0
DO45153
0 years, female, NA, stage:2, alive, 1380 days
39.5
DO45103
0 years, male, NA, stage:3, alive, 450 days
39.5
DO45255
0 years, male, NA, stage:3, alive, 720 days
39.4
DO48672
0 years, male, NA, stage:2, alive, 450 days
39.1
DO45141
0 years, male, NA, stage:2, alive, 1320 days
38.6
DO48736
0 years, female, NA, stage:1, alive, 600 days
38.6
DO45109
0 years, male, NA, stage:2, alive, 1590 days
38.5
DO45173
0 years, male, NA, stage:3, alive, 1170 days
38.1
DO45205
0 years, female, NA, stage:2, dead, 90 days
38.0
DO50793
0 years, male, NA, stage:4, alive, 540 days
37.5
DO45283
0 years, male, NA, stage:3, alive, 510 days
37.5
DO48700
0 years, female, NA, stage:2, alive, 810 days
37.4
DO48727
0 years, female, NA, stage:2, dead, 390 days
37.1
DO45179
0 years, female, NA, stage:2, alive, 600 days
36.7
DO45143
0 years, male, NA, stage:3, alive, 1290 days
36.6
DO227801
0 years, female, NA, stage:1, alive, 660 days
36.5
DO45175
0 years, male, NA, stage:2, alive, 1140 days
36.5
DO50811
0 years, male, NA, stage:1, alive, 450 days
36.4
DO45301
0 years, male, NA, stage:2, dead, 1440 days
36.3
DO50807
0 years, male, NA, stage:1, alive, 540 days
36.2
DO45121
0 years, male, NA, stage:3, alive, 1530 days
36.1
DO45165
0 years, male, NA, stage:2, alive, 690 days
35.7
DO48682
0 years, female, NA, stage:3, dead, 120 days
35.7
DO23536
0 years, male, NA, stage:2, alive, 930 days
35.3
DO45225
0 years, male, NA, stage:1, alive, 1050 days
35.1
DO23533
0 years, male, NA, stage:2, alive, 900 days
34.8
DO50819
0 years, female, NA, stage:2, alive, 510 days
34.7
DO45101
0 years, male, NA, stage:2, alive, 1680 days
34.6
DO45133
0 years, male, NA, stage:3, dead, 660 days
34.5
DO45263
0 years, male, NA, stage:3, dead, 270 days
34.5
DO45253
0 years, male, NA, stage:2, alive, 870 days
34.4
DO50818
0 years, male, NA, stage:2, alive, 510 days
34.3
DO45155
0 years, male, NA, stage:2, alive, 2160 days
33.9
DO45231
0 years, male, NA, stage:2, alive, 930 days
33.9
DO45303
0 years, female, NA, stage:3, alive, 990 days
33.7
DO45267
0 years, male, NA, stage:3, dead, 570 days
33.7
DO48677
0 years, male, NA, stage:3, alive, 1140 days
33.7
DO23528
0 years, female, NA, stage:2, alive, 1020 days
33.3
DO45203
0 years, female, NA, stage:2, alive, 1170 days
32.7
DO45281
0 years, male, NA, stage:4, alive, 750 days
32.5
DO48725
0 years, male, NA, stage:1, alive, 780 days
32.3
DO50789
0 years, female, NA, stage:2, alive, 570 days
32.2
DO45297
0 years, female, NA, stage:4, dead, 1260 days
32.2
DO23518
0 years, male, NA, stage:2, alive, 1320 days
32.1
DO45229
0 years, male, NA, stage:1, alive, 990 days
32.1
DO50804
0 years, male, NA, stage:2, alive, 720 days
31.8
DO48730
0 years, female, NA, stage:2, alive, 630 days
31.7
DO23534
0 years, male, NA, stage:2, alive, 840 days
31.6
DO45219
0 years, male, NA, stage:2, alive, 1080 days
31.5
DO50815
0 years, male, NA, stage:3, alive, 150 days
31.4
DO45287
0 years, male, NA, stage:1, alive, 390 days
31.4
DO45096
0 years, male, NA, stage:2, dead, 1290 days
31.3
DO48706
0 years, male, NA, stage:2, alive, 870 days
31.2
DO23552
0 years, female, NA, stage:1, alive, 810 days
31.2
DO23546
0 years, male, NA, stage:2, alive, 1050 days
31.2
DO45139
0 years, male, NA, stage:3, alive, 1320 days
31.0
DO45171
0 years, male, NA, stage:3, alive, 600 days
30.9
DO45135
0 years, male, NA, stage:1, alive, 1410 days
30.8
DO45169
0 years, male, NA, stage:3, alive, 1350 days
30.4
DO45167
0 years, male, NA, stage:2, dead, 1440 days
30.4
DO45235
0 years, female, NA, stage:1, alive, 900 days
30.2
DO48720
0 years, female, NA, stage:2, alive, 570 days
29.9
DO23524
0 years, female, NA, stage:2, alive, 1050 days
29.9
DO45251
0 years, female, NA, stage:2, alive, 900 days
29.6
DO23514
0 years, male, NA, stage:2, alive, 1290 days
29.3
DO45257
0 years, male, NA, stage:3, alive, 810 days
29.3
DO48712
0 years, male, NA, stage:2, alive, 810 days
29.2
DO48704
0 years, female, NA, stage:3, alive, 750 days
29.1
DO45113
0 years, male, NA, stage:3, alive, 1560 days
28.8
DO50859
0 years, male, NA, stage:2, alive, 180 days
28.8
DO48746
0 years, male, NA, stage:3, alive, 570 days
28.7
DO45259
0 years, male, NA, stage:3, alive, 330 days
28.6
DO23517
0 years, male, NA, stage:2, alive, 1200 days
28.5
DO23530
0 years, male, NA, stage:4, dead, 180 days
28.5
DO48693
0 years, male, NA, stage:2, alive, 900 days
28.4
DO48743
0 years, female, NA, stage:2, alive, 570 days
28.3
DO50800
0 years, male, NA, stage:2, alive, 510 days
28.3
DO45277
0 years, male, NA, stage:3, alive, 600 days
28.3
DO45243
0 years, female, NA, stage:3, alive, 930 days
28.2
DO48728
0 years, female, NA, stage:2, alive, 150 days
27.8
DO48732
0 years, male, NA, stage:3, alive, 630 days
27.8
DO45177
0 years, female, NA, stage:3, alive, 1260 days
27.8
DO45093
0 years, male, NA, stage:2, dead, 720 days
27.7
DO45159
0 years, male, NA, stage:3, alive, 1470 days
27.4
DO45261
0 years, male, NA, stage:3, alive, 990 days
27.4
DO227643
0 years, male, NA, stage:2, alive, 1260 days
27.3
DO23509
0 years, male, NA, stage:3, dead, 780 days
27.2
DO45123
0 years, female, NA, stage:2, dead, 570 days
27.1
DO23535
0 years, male, NA, stage:1, alive, 960 days
27.0
DO45221
0 years, female, NA, stage:4, dead, 390 days
27.0
DO45187
0 years, female, NA, stage:1, alive, 1260 days
26.7
DO45279
0 years, male, NA, stage:3, alive, 1290 days
26.5
DO48716
0 years, male, NA, stage:2, alive, 720 days
26.5
DO48681
0 years, male, NA, stage:2, alive, 900 days
26.4
DO45094
0 years, male, NA, stage:3, alive, 1650 days
26.3
DO50857
0 years, male, NA, stage:2, alive, 210 days
26.3
DO45099
0 years, male, NA, stage:3, alive, 1590 days
26.2
DO48695
0 years, male, NA, stage:2, alive, 720 days
26.2
DO45137
0 years, male, NA, stage:1, alive, 1320 days
26.2
DO45265
0 years, male, NA, stage:3, alive, 1020 days
26.1
DO50832
0 years, male, NA, stage:3, alive, 90 days
25.7
DO45197
0 years, male, NA, stage:2, alive, 1170 days
25.7
DO45129
0 years, male, NA, stage:3, alive, 1470 days
25.5
DO45207
0 years, male, NA, stage:1, alive, 1050 days
25.2
DO50787
0 years, male, NA, stage:3, alive, 480 days
25.2
DO50820
0 years, female, NA, stage:3, alive, 510 days
25.1
DO45115
0 years, male, NA, stage:2, alive, 840 days
24.9
DO45195
0 years, male, NA, stage:1, alive, 390 days
24.8
DO50803
0 years, female, NA, stage:1, alive, 540 days
24.6
DO23544
0 years, male, NA, stage:2, alive, 960 days
24.4
DO45223
0 years, male, NA, stage:4, alive, 1020 days
24.4
DO45239
0 years, male, NA, stage:2, alive, 870 days
24.3
DO45191
0 years, female, NA, stage:2, alive, 1200 days
24.2
DO50850
0 years, male, NA, stage:3, alive, 720 days
24.2
DO45215
0 years, male, NA, stage:2, alive, 1170 days
24.2
DO50778
0 years, male, NA, stage:4, alive, 630 days
24.1
DO48761
0 years, male, NA, stage:2, alive, 870 days
24.1
DO48721
0 years, female, NA, stage:1, alive, 900 days
24.0
DO45157
0 years, male, NA, stage:2, alive, 1980 days
23.3
DO23550
0 years, male, NA, stage:1, alive, 990 days
23.1
DO45189
0 years, female, NA, stage:2, alive, 1200 days
23.1
DO45163
0 years, male, NA, stage:2, alive, 960 days
22.9
DO45213
0 years, male, NA, stage:1, alive, 1200 days
22.9
DO48733
0 years, male, NA, stage:2, alive, 600 days
22.6
DO48760
0 years, female, NA, stage:2, alive, 690 days
22.3
DO23531
0 years, female, NA, stage:3, alive, 900 days
21.5
DO45181
0 years, female, NA, stage:2, alive, 1200 days
21.5
DO45247
0 years, female, NA, stage:2, alive, 210 days
21.5
DO45233
0 years, male, NA, stage:3, alive, 900 days
21.1
DO23541
0 years, male, NA, stage:2, alive, 930 days
21.1
DO45201
0 years, male, NA, stage:1, alive, 900 days
20.1
DO50774
0 years, female, NA, stage:2, alive, 720 days
19.4
DO45237
0 years, male, NA, stage:2, alive, 900 days
19.2
DO23542
0 years, male, NA, stage:3, alive, 960 days
19.2
DO23551
0 years, male, NA, stage:3, dead, 150 days
18.3
DO45091
0 years, male, NA, stage:2, dead, 1320 days
18.1
DO23527
0 years, male, NA, stage:1, alive, 1050 days
17.9
DO48742
0 years, male, NA, stage:2, alive, 600 days
16.3
DO45111
0 years, male, NA, stage:2, alive, 1590 days
16.3
DO23538
0 years, male, NA, stage:2, alive, 450 days
14.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
533
Tumor
2.3
957
Tumor
1.6
865
Tumor
1.4
525
Tumor
1.3
557
Tumor
1.2
473
Tumor
1.2
393
Tumor
1.2
411
Tumor
1.2
1041
Tumor
1.2
367
Tumor
1.1
227
Tumor
1.1
685
Tumor
1.0
171
Tumor
1.0
937
Tumor
1.0
361
Tumor
1.0
483
Tumor
1.0
537
Tumor
0.9
355
Tumor
0.9
231
Tumor
0.9
553
Tumor
0.9
925
Tumor
0.8
883
Tumor
0.8
741
Tumor
0.8
951
Tumor
0.8
497
Tumor
0.8
915
Tumor
0.8
435
Tumor
0.7
967
Tumor
0.7
285
Tumor
0.7
491
Tumor
0.7
357
Tumor
0.7
823
Tumor
0.7
351
Tumor
0.7
911
Tumor
0.7
571
Tumor
0.7
981
Tumor
0.7
861
Tumor
0.6
715
Tumor
0.6
1013
Tumor
0.6
123
Tumor
0.6
493
Tumor
0.6
423
Tumor
0.6
527
Tumor
0.6
567
Tumor
0.5
965
Tumor
0.5
427
Tumor
0.5
627
Tumor
0.5
477
Tumor
0.5
395
Tumor
0.5
327
Tumor
0.5
695
Tumor
0.5
663
Tumor
0.4
923
Tumor
0.4
635
Tumor
0.4
573
Tumor
0.4
257
Tumor
0.4
387
Tumor
0.4
363
Tumor
0.4
713
Tumor
0.4
743
Tumor
0.4
277
Tumor
0.4
867
Tumor
0.4
1021
Tumor
0.4
745
Tumor
0.3
523
Tumor
0.3
953
Tumor
0.3
375
Tumor
0.3
487
Tumor
0.3
431
Tumor
0.3
223
Tumor
0.3
127
Tumor
0.3
641
Tumor
0.3
267
Tumor
0.3
921
Tumor
0.3
211
Tumor
0.3
785
Tumor
0.3
513
Tumor
0.3
261
Tumor
0.3
727
Tumor
0.2
187
Tumor
0.2
353
Tumor
0.2
983
Tumor
0.2
517
Tumor
0.2
271
Tumor
0.2
671
Tumor
0.2
1025
Tumor
0.2
661
Tumor
0.2
185
Tumor
0.2
755
Tumor
0.2
665
Tumor
0.2
913
Tumor
0.2
297
Tumor
0.2
471
Tumor
0.2
413
Tumor
0.2
147
Tumor
0.2
113
Tumor
0.2
1043
Tumor
0.2
341
Tumor
0.2
977
Tumor
0.2
391
Tumor
0.1
817
Tumor
0.1
467
Tumor
0.1
1027
Tumor
0.1
385
Tumor
0.1
451
Tumor
0.1
697
Tumor
0.1
141
Tumor
0.1
137
Tumor
0.1
851
Tumor
0.1
125
Tumor
0.0
463
Tumor
0.0
1015
Tumor
0.0
617
Tumor
0.0
642
Normal
0.0
615
Tumor
0.0
465
Tumor
0.0
545
Tumor
0.0
1031
Tumor
0.0
356
Normal
0.0
212
Normal
0.0
213
Tumor
0.0
535
Tumor
0.0
815
Tumor
0.0
554
Normal
0.0
628
Normal
0.0
311
Tumor
0.0
728
Normal
0.0
433
Tumor
-0.1
563
Tumor
-0.1
364
Normal
-0.1
112
Tumor
-0.1
331
Tumor
-0.1
877
Tumor
-0.1
416
Normal
-0.1
455
Tumor
-0.1
647
Tumor
-0.1
443
Tumor
-0.1
161
Tumor
-0.1
221
Tumor
-0.1
383
Tumor
-0.1
723
Tumor
-0.1
396
Normal
-0.1
313
Tumor
-0.1
481
Tumor
-0.1
724
Normal
-0.1
283
Tumor
-0.1
816
Normal
-0.1
516
Normal
-0.1
777
Tumor
-0.1
857
Tumor
-0.1
388
Normal
-0.2
131
Tumor
-0.2
963
Tumor
-0.2
618
Normal
-0.2
1016
Normal
-0.2
572
Normal
-0.2
412
Normal
-0.2
474
Normal
-0.2
918
Normal
-0.2
868
Normal
-0.2
484
Normal
-0.2
824
Normal
-0.2
721
Tumor
-0.2
914
Normal
-0.2
873
Tumor
-0.2
878
Normal
-0.2
737
Tumor
-0.2
546
Normal
-0.2
568
Normal
-0.2
975
Tumor
-0.2
881
Tumor
-0.2
616
Normal
-0.2
636
Normal
-0.2
135
Tumor
-0.2
284
Normal
-0.2
564
Normal
-0.2
738
Normal
-0.2
365
Tumor
-0.3
415
Tumor
-0.3
328
Normal
-0.3
1014
Normal
-0.3
916
Normal
-0.3
128
Normal
-0.3
466
Normal
-0.3
472
Normal
-0.3
526
Normal
-0.3
114
Normal
-0.3
1028
Normal
-0.3
461
Tumor
-0.3
864
Normal
-0.3
944
Normal
-0.3
518
Normal
-0.3
195
Tumor
-0.3
436
Normal
-0.3
462
Normal
-0.3
982
Normal
-0.3
124
Normal
-0.3
421
Tumor
-0.3
468
Normal
-0.3
444
Normal
-0.3
145
Tumor
-0.3
742
Normal
-0.3
392
Normal
-0.3
386
Normal
-0.4
312
Normal
-0.4
394
Normal
-0.4
558
Normal
-0.4
514
Normal
-0.4
446
Normal
-0.4
434
Normal
-0.4
445
Tumor
-0.4
958
Normal
-0.4
528
Normal
-0.4
926
Normal
-0.4
278
Normal
-0.4
866
Normal
-0.4
447
Tumor
-0.4
922
Normal
-0.4
722
Normal
-0.4
696
Normal
-0.4
917
Tumor
-0.4
464
Normal
-0.4
786
Normal
-0.4
286
Normal
-0.4
111
Normal
-0.4
534
Normal
-0.4
778
Normal
-0.4
662
Normal
-0.4
862
Normal
-0.4
714
Normal
-0.4
1042
Normal
-0.4
343
Tumor
-0.5
698
Normal
-0.5
852
Normal
-0.5
494
Normal
-0.5
1032
Normal
-0.5
1026
Normal
-0.5
524
Normal
-0.5
196
Normal
-0.5
482
Normal
-0.5
858
Normal
-0.5
142
Normal
-0.5
938
Normal
-0.5
126
Normal
-0.5
964
Normal
-0.5
214
Normal
-0.5
984
Normal
-0.5
924
Normal
-0.5
426
Normal
-0.5
818
Normal
-0.5
456
Normal
-0.5
874
Normal
-0.5
1022
Normal
-0.5
422
Normal
-0.5
132
Normal
-0.5
664
Normal
-0.5
136
Normal
-0.5
952
Normal
-0.5
162
Normal
-0.5
966
Normal
-0.5
217
Tumor
-0.5
912
Normal
-0.5
756
Normal
-0.5
148
Normal
-0.5
814
Normal
-0.5
943
Tumor
-0.5
976
Normal
-0.6
452
Normal
-0.6
968
Normal
-0.6
492
Normal
-0.6
1045
Tumor
-0.6
978
Normal
-0.6
488
Normal
-0.6
478
Normal
-0.6
188
Normal
-0.6
298
Normal
-0.6
432
Normal
-0.6
716
Normal
-0.6
955
Tumor
-0.6
258
Normal
-0.6
744
Normal
-0.6
358
Normal
-0.6
448
Normal
-0.6
813
Tumor
-0.6
272
Normal
-0.6
428
Normal
-0.6
376
Normal
-0.6
314
Normal
-0.6
538
Normal
-0.6
368
Normal
-0.6
515
Tumor
-0.6
366
Normal
-0.7
424
Normal
-0.7
686
Normal
-0.7
498
Normal
-0.7
648
Normal
-0.7
956
Normal
-0.7
746
Normal
-0.7
218
Normal
-0.7
262
Normal
-0.7
574
Normal
-0.7
191
Tumor
-0.7
882
Normal
-0.7
228
Normal
-0.7
342
Normal
-0.7
332
Normal
-0.7
138
Normal
-0.7
172
Normal
-0.7
362
Normal
-0.7
352
Normal
-0.8
536
Normal
-0.8
425
Tumor
-0.8
414
Normal
-0.8
884
Normal
-0.8
268
Normal
-0.8
224
Normal
-0.8
672
Normal
-0.8
232
Normal
-0.8
186
Normal
-0.8
146
Normal
-0.8
666
Normal
-0.8
354
Normal
-0.8
222
Normal
-0.9
863
Tumor
-0.9
1046
Normal
-0.9
384
Normal
-1.0
344
Normal
-1.0
1044
Normal
-1.0
954
Normal
-1.0
192
Normal
-1.1
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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
