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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.
HMGCL is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
99.6
Number of samples
362
Samples
Sample
Description
TPM
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
276.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
270.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
257.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
246.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
244.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
242.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
238.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
236.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
226.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
219.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
217.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
214.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
208.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
205.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
204.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
202.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
198.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
198.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
196.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
189.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
189.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
186.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
185.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
183.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
182.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
180.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
179.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
179.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
175.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
175.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
173.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
171.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
171.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
170.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
169.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
169.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
168.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
168.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
165.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
162.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
161.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
161.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
159.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
159.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
158.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
158.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
158.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
158.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
157.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
157.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
155.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
154.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
154.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
154.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
154.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
152.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
151.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
151.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
151.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
151.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
149.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
149.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
149.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
149.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
148.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
148.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
144.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
144.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
144.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
142.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
142.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
142.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
141.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
141.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
141.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
139.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
139.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
138.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
138.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
137.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
137.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
137.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
137.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
136.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
136.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
135.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
135.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
133.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
133.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
132.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
132.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
132.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
132.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
131.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
129.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
129.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
128.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
128.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
128.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
127.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
127.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
127.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
127.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
126.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
126.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
126.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
125.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
124.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
124.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
124.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
122.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
122.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
121.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
120.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
119.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
119.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
118.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
117.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
117.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
117.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
116.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
116.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
116.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
116.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
115.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
115.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
114.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
114.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
113.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
112.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
112.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
112.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
111.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
111.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
110.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
110.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
110.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
110.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
110.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
110.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
109.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
109.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
108.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
108.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
107.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
107.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
107.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
107.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
106.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
105.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
105.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
105.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
105.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
104.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
104.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
104.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
102.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
101.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
101.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
100.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
100.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
99.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
99.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
98.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
97.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
97.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
97.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
96.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
96.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
96.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
95.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
95.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
95.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
95.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
95.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
94.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
92.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
92.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
92.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
91.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
91.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
91.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
90.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
90.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
90.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
90.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
89.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
89.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
88.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
88.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
87.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
87.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
87.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
86.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
86.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
85.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
85.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
85.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
85.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
84.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
84.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
83.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
82.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
82.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
82.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
82.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
82.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
81.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
81.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
81.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
80.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
80.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
79.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
79.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
79.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
78.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
78.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
77.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
77.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
76.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
75.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
75.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
75.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
74.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
74.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
74.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
74.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
74.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
74.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
73.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
73.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
73.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
73.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
72.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
72.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
72.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
72.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
72.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
71.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
70.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
70.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
70.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
69.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
68.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
67.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
67.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
66.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
65.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
65.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
65.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
65.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
64.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
64.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
64.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
63.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
63.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
63.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
63.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
63.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
62.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
62.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
62.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
61.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
61.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
60.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
60.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
59.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
59.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
59.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
59.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
58.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
58.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
57.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
57.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
57.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
57.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
57.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
56.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
56.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
56.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
56.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
56.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
56.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
55.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
55.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
55.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
54.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
54.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
53.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
52.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
52.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
51.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
51.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
50.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
50.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
49.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
49.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
49.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
49.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
48.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
48.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
47.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
47.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
47.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
47.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
47.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
46.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
45.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
45.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
44.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
44.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
44.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
44.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
43.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
43.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
43.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
43.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
43.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
41.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
41.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
40.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
40.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
40.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
40.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
40.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
40.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
40.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
40.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
39.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
39.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
39.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
39.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
38.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
38.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
37.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
36.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
35.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
35.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
33.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
33.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
33.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
32.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
32.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
32.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
29.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
29.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
29.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
29.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
28.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
28.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
27.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
26.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
25.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
25.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
25.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
25.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
25.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
24.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
23.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
23.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
17.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 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.
HMGCL 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
77.2
Number of samples
231
Samples
Sample
Description
TPM
DO50839
47 years, female, NA, stage:3, alive, 330 days
279.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
226.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
220.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
204.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
199.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
181.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
180.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
178.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
178.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
177.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
177.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
177.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
169.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
160.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
156.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
151.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
149.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
144.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
144.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
143.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
142.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
137.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
136.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
135.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
134.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
133.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
133.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
133.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
131.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
129.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
129.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
129.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
127.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
126.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
124.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
123.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
122.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
121.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
120.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
119.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
117.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
115.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
112.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
111.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
110.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
110.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
109.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
108.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
107.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
107.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
106.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
106.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
105.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
105.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
105.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
103.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
102.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
101.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
99.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
99.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
99.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
98.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
97.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
97.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
97.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
97.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
96.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
96.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
95.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
94.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
94.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
93.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
93.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
92.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
91.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
91.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
90.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
90.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
90.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
90.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
89.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
88.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
87.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
87.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
87.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
85.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
84.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
83.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
82.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
82.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
81.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
81.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
80.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
80.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
79.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
78.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
78.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
77.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
77.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
77.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
77.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
77.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
76.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
76.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
74.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
73.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
73.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
73.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
72.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
70.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
69.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
69.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
69.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
68.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
67.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
67.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
65.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
65.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
65.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
63.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
63.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
63.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
63.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
61.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
61.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
61.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
61.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
60.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
59.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
59.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
59.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
58.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
57.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
57.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
57.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
57.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
57.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
57.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
56.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
55.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
55.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
55.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
55.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
55.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
55.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
54.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
54.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
54.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
53.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
53.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
53.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
53.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
53.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
53.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
52.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
52.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
52.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
51.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
50.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
49.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
49.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
48.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
48.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
47.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
47.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
45.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
44.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
44.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
44.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
43.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
43.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
42.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
41.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
41.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
41.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
41.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
41.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
40.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
40.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
39.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
39.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
38.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
37.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
37.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
37.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
36.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
36.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
36.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
35.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
35.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
33.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
33.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
33.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
33.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
32.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
31.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
31.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
31.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
30.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
29.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
29.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
28.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
28.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
28.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
27.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
27.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
27.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
27.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
27.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
26.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
26.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
25.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
24.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
24.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
24.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
24.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
24.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
23.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
22.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
22.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
22.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
21.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
20.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
20.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
19.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
19.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
18.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
17.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
16.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
16.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
13.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
925
Tumor
0.9
452
Normal
0.8
746
Normal
0.7
128
Normal
0.7
465
Tumor
0.7
744
Normal
0.6
742
Normal
0.6
636
Normal
0.5
488
Normal
0.5
412
Normal
0.5
1041
Tumor
0.5
938
Normal
0.5
698
Normal
0.5
342
Normal
0.4
466
Normal
0.4
546
Normal
0.4
882
Normal
0.4
186
Normal
0.4
738
Normal
0.4
1016
Normal
0.4
494
Normal
0.4
538
Normal
0.4
864
Normal
0.4
142
Normal
0.4
124
Normal
0.4
868
Normal
0.4
982
Normal
0.4
356
Normal
0.4
1014
Normal
0.4
462
Normal
0.4
436
Normal
0.4
858
Normal
0.4
534
Normal
0.4
1026
Normal
0.4
878
Normal
0.4
914
Normal
0.4
778
Normal
0.4
648
Normal
0.4
695
Tumor
0.4
1028
Normal
0.4
196
Normal
0.4
484
Normal
0.4
922
Normal
0.3
448
Normal
0.3
824
Normal
0.3
862
Normal
0.3
866
Normal
0.3
228
Normal
0.3
618
Normal
0.3
981
Tumor
0.3
976
Normal
0.3
286
Normal
0.3
394
Normal
0.3
172
Normal
0.3
686
Normal
0.3
874
Normal
0.3
111
Normal
0.3
214
Normal
0.3
376
Normal
0.3
955
Tumor
0.3
564
Normal
0.3
924
Normal
0.3
528
Normal
0.3
722
Normal
0.3
474
Normal
0.3
114
Normal
0.3
414
Normal
0.3
352
Normal
0.3
298
Normal
0.3
911
Tumor
0.3
388
Normal
0.3
723
Tumor
0.3
422
Normal
0.2
696
Normal
0.2
392
Normal
0.2
162
Normal
0.2
786
Normal
0.2
952
Normal
0.2
662
Normal
0.2
816
Normal
0.2
968
Normal
0.2
358
Normal
0.2
332
Normal
0.2
424
Normal
0.2
642
Normal
0.2
354
Normal
0.2
954
Normal
0.2
232
Normal
0.2
222
Normal
0.2
664
Normal
0.2
526
Normal
0.2
728
Normal
0.2
1032
Normal
0.2
472
Normal
0.2
568
Normal
0.2
756
Normal
0.2
984
Normal
0.2
428
Normal
0.2
364
Normal
0.2
492
Normal
0.2
1022
Normal
0.2
284
Normal
0.2
344
Normal
0.2
966
Normal
0.2
482
Normal
0.2
464
Normal
0.2
852
Normal
0.2
312
Normal
0.2
714
Normal
0.2
278
Normal
0.2
132
Normal
0.2
944
Normal
0.2
716
Normal
0.1
912
Normal
0.1
915
Tumor
0.1
478
Normal
0.1
446
Normal
0.1
138
Normal
0.1
426
Normal
0.1
212
Normal
0.1
554
Normal
0.1
423
Tumor
0.1
741
Tumor
0.1
818
Normal
0.1
666
Normal
0.1
867
Tumor
0.1
755
Tumor
0.1
231
Tumor
0.1
964
Normal
0.1
224
Normal
0.1
518
Normal
0.1
314
Normal
0.1
272
Normal
0.1
574
Normal
0.1
937
Tumor
0.1
468
Normal
0.1
328
Normal
0.1
432
Normal
0.1
926
Normal
0.1
1046
Normal
0.1
148
Normal
0.1
487
Tumor
0.1
558
Normal
0.1
572
Normal
0.1
416
Normal
0.0
1027
Tumor
0.0
262
Normal
0.0
477
Tumor
0.0
113
Tumor
0.0
146
Normal
0.0
396
Normal
0.0
563
Tumor
0.0
884
Normal
0.0
978
Normal
0.0
366
Normal
0.0
918
Normal
0.0
1044
Normal
0.0
672
Normal
0.0
916
Normal
0.0
258
Normal
0.0
136
Normal
0.0
524
Normal
0.0
516
Normal
0.0
1042
Normal
0.0
257
Tumor
0.0
362
Normal
-0.1
628
Normal
-0.1
956
Normal
-0.1
368
Normal
-0.1
1045
Tumor
-0.1
386
Normal
-0.1
958
Normal
-0.1
218
Normal
-0.1
126
Normal
-0.1
456
Normal
-0.1
616
Normal
-0.1
112
Tumor
-0.1
365
Tumor
-0.1
627
Tumor
-0.1
185
Tumor
-0.1
261
Tumor
-0.1
137
Tumor
-0.2
384
Normal
-0.2
268
Normal
-0.2
434
Normal
-0.2
536
Normal
-0.2
514
Normal
-0.2
721
Tumor
-0.2
857
Tumor
-0.2
1015
Tumor
-0.2
341
Tumor
-0.2
188
Normal
-0.2
444
Normal
-0.3
615
Tumor
-0.3
513
Tumor
-0.3
141
Tumor
-0.3
498
Normal
-0.3
635
Tumor
-0.3
451
Tumor
-0.4
443
Tumor
-0.4
571
Tumor
-0.4
192
Normal
-0.4
313
Tumor
-0.4
685
Tumor
-0.4
327
Tumor
-0.5
861
Tumor
-0.5
913
Tumor
-0.5
127
Tumor
-0.5
361
Tumor
-0.5
873
Tumor
-0.5
727
Tumor
-0.5
415
Tumor
-0.5
267
Tumor
-0.5
515
Tumor
-0.5
461
Tumor
-0.5
713
Tumor
-0.6
383
Tumor
-0.6
421
Tumor
-0.6
883
Tumor
-0.6
135
Tumor
-0.6
481
Tumor
-0.6
387
Tumor
-0.6
145
Tumor
-0.6
435
Tumor
-0.6
411
Tumor
-0.7
227
Tumor
-0.7
161
Tumor
-0.7
557
Tumor
-0.7
413
Tumor
-0.7
217
Tumor
-0.7
823
Tumor
-0.7
433
Tumor
-0.7
223
Tumor
-0.7
357
Tumor
-0.7
951
Tumor
-0.7
171
Tumor
-0.7
745
Tumor
-0.8
483
Tumor
-0.8
953
Tumor
-0.8
353
Tumor
-0.8
814
Normal
-0.8
447
Tumor
-0.8
785
Tumor
-0.8
425
Tumor
-0.8
431
Tumor
-0.8
851
Tumor
-0.9
1043
Tumor
-0.9
617
Tumor
-0.9
491
Tumor
-0.9
195
Tumor
-0.9
123
Tumor
-0.9
375
Tumor
-0.9
355
Tumor
-0.9
363
Tumor
-0.9
497
Tumor
-0.9
367
Tumor
-0.9
493
Tumor
-0.9
943
Tumor
-1.0
977
Tumor
-1.0
777
Tumor
-1.0
865
Tumor
-1.0
663
Tumor
-1.0
395
Tumor
-1.0
917
Tumor
-1.0
881
Tumor
-1.0
665
Tumor
-1.0
445
Tumor
-1.0
1021
Tumor
-1.0
191
Tumor
-1.1
187
Tumor
-1.1
923
Tumor
-1.1
567
Tumor
-1.1
715
Tumor
-1.1
863
Tumor
-1.1
467
Tumor
-1.1
533
Tumor
-1.1
473
Tumor
-1.1
393
Tumor
-1.1
963
Tumor
-1.1
297
Tumor
-1.2
463
Tumor
-1.2
921
Tumor
-1.2
1013
Tumor
-1.2
573
Tumor
-1.2
125
Tumor
-1.2
471
Tumor
-1.2
641
Tumor
-1.2
391
Tumor
-1.2
535
Tumor
-1.2
427
Tumor
-1.2
311
Tumor
-1.3
221
Tumor
-1.3
877
Tumor
-1.3
737
Tumor
-1.3
553
Tumor
-1.3
213
Tumor
-1.3
517
Tumor
-1.3
967
Tumor
-1.3
271
Tumor
-1.3
975
Tumor
-1.3
813
Tumor
-1.3
1025
Tumor
-1.4
1031
Tumor
-1.4
817
Tumor
-1.4
455
Tumor
-1.4
147
Tumor
-1.4
815
Tumor
-1.4
697
Tumor
-1.4
527
Tumor
-1.4
647
Tumor
-1.5
537
Tumor
-1.5
277
Tumor
-1.5
343
Tumor
-1.5
525
Tumor
-1.6
743
Tumor
-1.6
283
Tumor
-1.7
983
Tumor
-1.7
351
Tumor
-1.7
331
Tumor
-1.7
965
Tumor
-1.7
957
Tumor
-1.7
724
Normal
-1.8
385
Tumor
-1.9
671
Tumor
-1.9
523
Tumor
-2.0
545
Tumor
-2.0
285
Tumor
-2.0
211
Tumor
-2.1
131
Tumor
-2.1
661
Tumor
-2.1
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
