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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.
SUCLG1 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
118.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
486.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
428.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
334.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
316.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
306.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
305.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
298.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
292.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
264.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
260.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
258.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
244.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
237.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
229.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
228.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
224.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
222.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
210.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
209.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
208.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
207.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
204.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
201.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
197.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
195.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
195.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
193.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
184.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
183.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
181.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
180.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
180.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
180.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
178.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
177.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
176.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
176.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
175.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
175.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
174.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
173.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
173.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
171.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
170.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
170.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
169.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
165.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
165.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
164.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
164.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
162.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
162.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
162.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
162.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
161.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
161.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
160.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
159.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
159.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
159.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
158.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
157.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
157.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
157.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
156.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
155.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
154.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
154.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
152.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
152.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
151.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
149.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
148.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
148.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
147.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
146.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
146.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
145.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
144.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
144.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
143.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
143.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
141.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
141.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
141.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
141.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
140.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
140.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
140.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
139.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
139.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
138.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
138.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
134.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
134.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
134.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
134.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
133.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
133.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
132.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
132.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
132.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
132.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
130.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
130.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
130.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
129.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
129.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
129.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
129.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
128.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
127.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
127.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
127.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
127.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
126.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
126.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
126.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
125.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
125.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
125.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
125.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
125.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
124.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
124.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
124.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
124.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
124.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
124.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
123.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
122.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
122.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
121.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
120.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
120.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
120.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
120.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
120.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
120.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
119.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
119.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
119.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
119.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
118.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
118.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
118.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
118.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
118.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
117.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
117.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
116.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
116.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
116.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
115.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
115.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
115.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
114.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
114.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
114.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
114.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
114.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
113.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
113.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
112.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
111.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
111.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
110.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
110.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
109.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
109.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
109.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
109.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
109.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
108.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
108.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
108.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
107.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
106.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
106.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
106.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
105.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
105.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
105.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
105.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
104.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
104.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
104.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
104.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
103.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
103.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
103.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
103.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
103.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
102.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
102.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
102.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
102.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
102.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
101.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
101.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
101.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
101.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
101.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
101.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
101.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
100.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
100.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
100.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
99.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
99.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
99.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
99.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
98.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
98.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
98.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
98.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
97.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
97.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
97.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
97.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
96.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
96.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
96.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
96.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
96.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
95.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
95.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
95.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
95.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
94.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
94.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
94.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
94.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
94.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
94.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
93.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
93.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
93.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
93.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
92.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
92.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
92.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
92.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
91.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
90.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
90.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
90.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
90.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
90.4
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
90.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
90.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
90.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
90.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
90.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
89.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
89.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
89.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
89.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
89.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
88.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
88.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
88.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
88.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
88.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
87.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
87.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
86.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
86.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
86.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
86.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
85.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
85.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
85.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
85.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
85.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
85.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
84.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
84.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
83.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
83.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
83.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
82.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
82.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
82.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
81.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
81.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
81.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
80.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
80.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
80.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
80.2
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
80.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
79.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
79.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
79.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
79.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
79.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
78.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
78.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
78.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
77.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
77.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
77.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
77.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
77.0
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
76.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
75.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
75.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
75.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
75.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
75.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
75.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
74.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
73.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
73.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
73.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
73.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
71.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
71.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
71.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
71.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
70.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
70.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
70.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
70.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
69.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
69.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
69.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
68.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
68.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
68.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
67.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
67.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
67.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
67.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
66.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
66.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
65.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
64.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
63.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
63.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
62.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
62.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
60.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
59.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
59.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
59.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
58.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
58.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
56.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
55.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
55.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
54.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
48.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
47.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
46.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
43.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
42.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
40.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
39.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
35.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 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.
SUCLG1 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 pTPM
133.4
Number of samples
231
Samples
Sample
Description
pTPM
DO50829
78 years, male, NA, stage:3, alive, 570 days
494.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
454.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
351.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
321.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
318.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
316.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
302.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
286.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
278.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
271.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
243.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
241.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
231.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
230.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
220.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
213.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
207.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
204.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
201.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
200.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
200.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
198.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
196.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
195.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
195.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
193.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
192.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
192.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
190.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
190.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
189.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
188.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
188.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
186.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
185.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
184.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
183.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
181.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
178.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
177.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
176.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
175.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
174.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
173.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
173.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
172.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
166.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
165.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
164.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
164.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
163.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
162.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
162.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
161.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
156.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
156.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
155.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
155.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
154.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
154.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
154.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
152.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
152.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
152.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
152.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
151.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
151.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
150.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
150.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
150.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
149.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
148.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
147.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
147.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
145.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
144.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
144.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
143.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
142.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
142.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
142.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
141.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
140.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
140.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
140.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
138.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
138.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
137.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
136.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
136.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
135.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
135.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
134.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
133.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
132.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
132.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
132.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
131.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
131.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
131.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
131.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
130.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
129.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
128.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
127.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
127.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
127.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
127.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
126.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
126.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
125.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
125.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
124.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
124.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
123.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
122.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
121.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
121.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
121.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
120.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
120.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
120.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
119.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
118.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
117.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
117.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
117.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
115.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
114.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
114.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
114.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
113.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
113.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
113.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
113.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
113.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
113.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
112.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
111.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
111.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
111.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
110.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
108.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
107.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
107.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
107.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
106.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
106.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
105.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
105.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
104.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
104.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
104.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
103.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
103.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
102.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
100.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
100.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
99.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
99.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
99.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
98.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
98.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
97.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
97.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
97.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
96.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
96.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
96.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
95.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
94.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
94.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
94.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
92.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
92.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
92.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
92.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
92.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
92.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
91.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
89.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
89.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
88.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
87.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
85.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
85.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
85.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
84.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
84.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
84.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
83.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
83.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
82.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
82.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
81.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
80.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
79.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
79.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
79.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
78.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
74.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
74.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
73.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
73.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
72.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
71.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
70.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
69.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
69.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
69.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
69.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
68.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
67.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
67.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
65.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
64.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
63.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
63.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
61.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
61.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
60.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
59.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
59.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
59.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
58.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
57.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
52.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
51.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
51.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
44.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
40.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
627
Tumor
1.7
465
Tumor
0.9
925
Tumor
0.8
452
Normal
0.7
636
Normal
0.7
227
Tumor
0.6
513
Tumor
0.6
618
Normal
0.6
571
Tumor
0.6
564
Normal
0.6
648
Normal
0.6
786
Normal
0.6
1043
Tumor
0.6
414
Normal
0.6
462
Normal
0.6
563
Tumor
0.5
436
Normal
0.5
745
Tumor
0.5
428
Normal
0.5
756
Normal
0.5
1045
Tumor
0.5
615
Tumor
0.5
466
Normal
0.5
713
Tumor
0.5
128
Normal
0.5
746
Normal
0.5
824
Normal
0.5
742
Normal
0.5
664
Normal
0.5
864
Normal
0.5
818
Normal
0.5
172
Normal
0.5
448
Normal
0.5
426
Normal
0.5
924
Normal
0.5
862
Normal
0.4
464
Normal
0.4
232
Normal
0.4
568
Normal
0.4
873
Tumor
0.4
698
Normal
0.4
866
Normal
0.4
394
Normal
0.4
423
Tumor
0.4
162
Normal
0.4
666
Normal
0.4
874
Normal
0.4
695
Tumor
0.4
882
Normal
0.4
954
Normal
0.4
358
Normal
0.4
868
Normal
0.4
314
Normal
0.4
534
Normal
0.4
546
Normal
0.4
145
Tumor
0.4
662
Normal
0.4
278
Normal
0.4
342
Normal
0.4
858
Normal
0.4
914
Normal
0.3
468
Normal
0.3
515
Tumor
0.3
186
Normal
0.3
528
Normal
0.3
816
Normal
0.3
298
Normal
0.3
356
Normal
0.3
388
Normal
0.3
628
Normal
0.3
424
Normal
0.3
422
Normal
0.3
432
Normal
0.3
642
Normal
0.3
744
Normal
0.3
944
Normal
0.3
723
Tumor
0.3
332
Normal
0.3
196
Normal
0.3
922
Normal
0.3
738
Normal
0.3
132
Normal
0.3
446
Normal
0.3
722
Normal
0.3
912
Normal
0.3
616
Normal
0.3
1026
Normal
0.3
456
Normal
0.3
982
Normal
0.3
938
Normal
0.3
392
Normal
0.3
412
Normal
0.3
127
Tumor
0.3
376
Normal
0.3
1022
Normal
0.3
286
Normal
0.3
258
Normal
0.3
222
Normal
0.3
344
Normal
0.3
365
Tumor
0.3
361
Tumor
0.3
518
Normal
0.3
955
Tumor
0.2
714
Normal
0.2
362
Normal
0.2
672
Normal
0.2
214
Normal
0.2
884
Normal
0.2
354
Normal
0.2
366
Normal
0.2
852
Normal
0.2
228
Normal
0.2
137
Tumor
0.2
964
Normal
0.2
111
Normal
0.2
488
Normal
0.2
357
Tumor
0.2
484
Normal
0.2
416
Normal
0.2
328
Normal
0.2
396
Normal
0.2
393
Tumor
0.2
878
Normal
0.2
956
Normal
0.2
1032
Normal
0.2
284
Normal
0.2
926
Normal
0.2
574
Normal
0.2
1044
Normal
0.2
728
Normal
0.2
114
Normal
0.2
138
Normal
0.2
1046
Normal
0.2
1016
Normal
0.2
218
Normal
0.2
262
Normal
0.2
352
Normal
0.2
148
Normal
0.2
558
Normal
0.1
142
Normal
0.1
976
Normal
0.1
494
Normal
0.1
716
Normal
0.1
472
Normal
0.1
686
Normal
0.1
461
Tumor
0.1
778
Normal
0.1
696
Normal
0.1
224
Normal
0.1
554
Normal
0.1
188
Normal
0.1
516
Normal
0.1
538
Normal
0.1
966
Normal
0.1
918
Normal
0.1
572
Normal
0.1
212
Normal
0.1
1028
Normal
0.1
435
Tumor
0.1
526
Normal
0.1
952
Normal
0.1
272
Normal
0.1
487
Tumor
0.1
968
Normal
0.0
474
Normal
0.0
1014
Normal
0.0
483
Tumor
0.0
126
Normal
0.0
953
Tumor
0.0
567
Tumor
0.0
514
Normal
0.0
1042
Normal
0.0
267
Tumor
0.0
364
Normal
0.0
146
Normal
0.0
482
Normal
0.0
386
Normal
0.0
384
Normal
0.0
161
Tumor
0.0
136
Normal
0.0
867
Tumor
0.0
958
Normal
0.0
978
Normal
0.0
741
Tumor
0.0
257
Tumor
0.0
368
Normal
0.0
984
Normal
0.0
823
Tumor
0.0
981
Tumor
-0.1
813
Tumor
-0.1
434
Normal
-0.1
916
Normal
-0.1
113
Tumor
-0.1
124
Normal
-0.1
883
Tumor
-0.1
268
Normal
-0.1
857
Tumor
-0.1
327
Tumor
-0.1
312
Normal
-0.1
721
Tumor
-0.1
421
Tumor
-0.1
617
Tumor
-0.1
141
Tumor
-0.1
363
Tumor
-0.1
191
Tumor
-0.1
492
Normal
-0.1
915
Tumor
-0.1
135
Tumor
-0.1
443
Tumor
-0.1
557
Tumor
-0.2
431
Tumor
-0.2
444
Normal
-0.2
451
Tumor
-0.2
635
Tumor
-0.2
777
Tumor
-0.2
863
Tumor
-0.2
1027
Tumor
-0.2
481
Tumor
-0.2
785
Tumor
-0.3
192
Normal
-0.3
1041
Tumor
-0.3
477
Tumor
-0.3
445
Tumor
-0.3
313
Tumor
-0.3
478
Normal
-0.3
231
Tumor
-0.3
641
Tumor
-0.3
261
Tumor
-0.3
195
Tumor
-0.3
814
Normal
-0.3
911
Tumor
-0.3
517
Tumor
-0.3
743
Tumor
-0.3
685
Tumor
-0.3
524
Normal
-0.3
112
Tumor
-0.4
498
Normal
-0.4
217
Tumor
-0.4
536
Normal
-0.4
967
Tumor
-0.4
415
Tumor
-0.4
937
Tumor
-0.4
427
Tumor
-0.4
297
Tumor
-0.4
957
Tumor
-0.4
1025
Tumor
-0.4
1013
Tumor
-0.4
425
Tumor
-0.4
185
Tumor
-0.4
221
Tumor
-0.4
697
Tumor
-0.4
463
Tumor
-0.4
433
Tumor
-0.4
537
Tumor
-0.5
727
Tumor
-0.5
367
Tumor
-0.5
491
Tumor
-0.5
1015
Tumor
-0.5
353
Tumor
-0.5
525
Tumor
-0.5
851
Tumor
-0.5
523
Tumor
-0.5
815
Tumor
-0.5
187
Tumor
-0.5
553
Tumor
-0.5
383
Tumor
-0.5
387
Tumor
-0.5
663
Tumor
-0.5
467
Tumor
-0.6
975
Tumor
-0.6
341
Tumor
-0.6
411
Tumor
-0.6
715
Tumor
-0.6
963
Tumor
-0.6
171
Tumor
-0.6
447
Tumor
-0.6
647
Tumor
-0.6
533
Tumor
-0.6
923
Tumor
-0.7
921
Tumor
-0.7
271
Tumor
-0.7
861
Tumor
-0.7
455
Tumor
-0.7
1031
Tumor
-0.7
881
Tumor
-0.7
671
Tumor
-0.7
355
Tumor
-0.7
493
Tumor
-0.7
527
Tumor
-0.7
413
Tumor
-0.7
391
Tumor
-0.7
471
Tumor
-0.8
943
Tumor
-0.8
131
Tumor
-0.8
665
Tumor
-0.8
877
Tumor
-0.8
123
Tumor
-0.8
277
Tumor
-0.8
213
Tumor
-0.8
737
Tumor
-0.8
147
Tumor
-0.8
473
Tumor
-0.8
125
Tumor
-0.9
223
Tumor
-0.9
913
Tumor
-0.9
865
Tumor
-0.9
983
Tumor
-0.9
375
Tumor
-0.9
951
Tumor
-0.9
385
Tumor
-0.9
977
Tumor
-0.9
573
Tumor
-1.0
1021
Tumor
-1.0
724
Normal
-1.0
917
Tumor
-1.0
343
Tumor
-1.0
395
Tumor
-1.0
351
Tumor
-1.1
331
Tumor
-1.1
817
Tumor
-1.1
965
Tumor
-1.1
497
Tumor
-1.1
535
Tumor
-1.2
311
Tumor
-1.2
285
Tumor
-1.3
211
Tumor
-1.3
545
Tumor
-1.3
755
Tumor
-1.4
283
Tumor
-1.5
661
Tumor
-1.5
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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
