We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MAT1A 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
194.4
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1115.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1090.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1002.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
921.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
850.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
792.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
783.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
769.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
762.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
687.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
678.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
649.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
620.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
594.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
591.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
591.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
586.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
576.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
571.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
570.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
570.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
566.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
530.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
529.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
514.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
491.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
480.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
478.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
477.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
470.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
469.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
467.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
466.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
466.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
463.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
461.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
451.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
444.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
433.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
432.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
422.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
422.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
422.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
420.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
415.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
412.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
409.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
409.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
407.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
404.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
403.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
402.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
401.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
394.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
394.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
393.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
381.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
374.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
364.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
362.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
361.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
357.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
356.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
355.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
351.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
350.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
345.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
345.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
344.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
343.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
339.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
317.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
315.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
314.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
313.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
312.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
312.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
311.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
311.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
310.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
310.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
306.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
299.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
299.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
295.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
294.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
293.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
293.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
293.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
292.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
292.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
288.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
281.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
277.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
276.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
275.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
268.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
264.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
261.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
259.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
257.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
256.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
254.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
252.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
251.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
249.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
247.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
247.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
246.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
244.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
243.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
241.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
237.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
236.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
235.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
230.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
228.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
227.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
227.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
224.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
223.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
223.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
218.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
217.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
216.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
213.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
213.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
204.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
202.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
200.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
200.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
199.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
197.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
197.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
196.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
195.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
195.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
193.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
190.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
190.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
188.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
187.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
186.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
185.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
182.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
180.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
178.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
178.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
176.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
175.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
173.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
169.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
167.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
166.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
166.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
165.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
165.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
164.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
163.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
162.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
161.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
160.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
158.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
158.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
157.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
157.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
156.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
154.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
153.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
151.1
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
151.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
149.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
148.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
147.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
146.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
145.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
144.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
144.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
143.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
142.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
139.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
138.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
137.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
136.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
135.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
134.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
133.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
131.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
130.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
127.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
126.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
126.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
126.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
126.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
125.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
122.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
120.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
120.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
119.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
118.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
117.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
116.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
115.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
115.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
111.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
110.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
106.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
104.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
104.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
103.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
101.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
101.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
100.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
100.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
98.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
96.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
96.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
96.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
96.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
96.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
95.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
95.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
92.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
90.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
89.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
89.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
88.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
88.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
87.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
86.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
85.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
85.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
84.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
83.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
78.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
77.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
76.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
76.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
75.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
75.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
73.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
73.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
73.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
73.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
72.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
72.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
71.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
70.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
70.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
70.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
69.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
68.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
67.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
66.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
66.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
62.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
62.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
61.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
60.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
59.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
58.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
57.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
56.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
56.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
56.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
55.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
55.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
54.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
53.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
53.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
49.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
49.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
47.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
46.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
44.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
42.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
42.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
42.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
41.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
41.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
40.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
40.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
40.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
38.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
37.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
37.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
36.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
35.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
34.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
34.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
33.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
32.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
32.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
31.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
31.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
30.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
29.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
29.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
29.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
27.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
25.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
25.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
24.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
24.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
24.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
24.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
23.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
22.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
22.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
22.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
18.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
17.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
17.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
16.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
16.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
15.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
15.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
13.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
13.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
12.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
12.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
12.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
11.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
10.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
10.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
10.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
10.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
9.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
8.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
8.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
8.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
7.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
7.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
7.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
6.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
6.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
6.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
5.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
5.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
5.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
5.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
5.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
5.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
5.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
4.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
4.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
4.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
4.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
0.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
0.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
0.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 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.
MAT1A 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
402.7
Number of samples
231
Samples
Sample
Description
pTPM
DO50817
75 years, male, NA, stage:2, alive, 390 days
1935.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
1477.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
1474.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
1309.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
1255.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
1252.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
1236.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
1224.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1151.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1137.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
1135.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
1116.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1094.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1027.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1018.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
989.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
877.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
845.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
843.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
836.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
818.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
803.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
789.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
781.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
763.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
760.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
749.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
747.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
733.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
712.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
711.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
690.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
682.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
659.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
650.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
643.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
642.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
629.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
629.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
624.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
622.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
619.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
609.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
598.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
593.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
591.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
571.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
570.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
570.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
564.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
561.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
554.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
553.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
542.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
537.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
533.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
518.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
516.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
514.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
512.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
510.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
506.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
502.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
495.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
492.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
490.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
479.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
476.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
472.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
465.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
464.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
463.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
461.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
461.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
455.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
453.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
453.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
448.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
448.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
447.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
436.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
435.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
427.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
424.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
424.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
423.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
412.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
411.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
411.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
408.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
407.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
404.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
403.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
403.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
400.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
397.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
396.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
395.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
395.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
393.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
393.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
393.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
392.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
389.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
387.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
385.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
384.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
383.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
381.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
377.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
377.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
375.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
374.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
371.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
363.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
360.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
360.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
350.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
348.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
345.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
340.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
337.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
336.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
335.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
333.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
327.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
320.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
317.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
317.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
316.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
315.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
310.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
307.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
307.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
307.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
307.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
299.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
299.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
288.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
283.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
282.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
281.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
281.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
281.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
280.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
279.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
278.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
276.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
272.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
267.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
263.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
263.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
261.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
260.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
256.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
255.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
255.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
255.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
255.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
252.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
240.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
240.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
239.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
238.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
223.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
218.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
217.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
215.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
208.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
207.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
207.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
185.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
179.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
171.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
170.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
168.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
165.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
164.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
163.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
162.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
161.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
155.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
151.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
151.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
150.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
150.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
139.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
138.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
133.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
133.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
123.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
119.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
111.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
111.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
107.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
100.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
98.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
87.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
87.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
84.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
82.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
75.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
72.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
66.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
66.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
65.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
64.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
62.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
59.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
58.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
58.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
57.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
51.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
40.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
36.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
15.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
14.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
14.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
12.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
9.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
4.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
3.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
3.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
2.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
0.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
0.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
0.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
568
Normal
1.1
342
Normal
1.0
981
Tumor
1.0
636
Normal
0.9
128
Normal
0.9
744
Normal
0.8
554
Normal
0.8
222
Normal
0.8
332
Normal
0.8
742
Normal
0.8
426
Normal
0.7
452
Normal
0.7
572
Normal
0.7
114
Normal
0.7
278
Normal
0.7
196
Normal
0.7
862
Normal
0.7
132
Normal
0.7
298
Normal
0.7
376
Normal
0.7
162
Normal
0.7
738
Normal
0.7
344
Normal
0.6
746
Normal
0.6
436
Normal
0.6
353
Tumor
0.6
214
Normal
0.6
396
Normal
0.6
558
Normal
0.6
358
Normal
0.6
232
Normal
0.6
186
Normal
0.6
648
Normal
0.6
642
Normal
0.6
352
Normal
0.6
172
Normal
0.6
618
Normal
0.6
218
Normal
0.6
468
Normal
0.6
866
Normal
0.6
518
Normal
0.6
878
Normal
0.6
816
Normal
0.6
392
Normal
0.6
723
Tumor
0.6
864
Normal
0.6
388
Normal
0.5
111
Normal
0.5
148
Normal
0.5
662
Normal
0.5
628
Normal
0.5
394
Normal
0.5
142
Normal
0.5
616
Normal
0.5
666
Normal
0.5
698
Normal
0.5
314
Normal
0.5
462
Normal
0.5
1022
Normal
0.5
778
Normal
0.5
564
Normal
0.5
366
Normal
0.5
422
Normal
0.5
448
Normal
0.5
414
Normal
0.5
924
Normal
0.5
1016
Normal
0.5
526
Normal
0.5
368
Normal
0.5
1026
Normal
0.5
446
Normal
0.5
228
Normal
0.5
914
Normal
0.5
484
Normal
0.5
267
Tumor
0.5
286
Normal
0.5
138
Normal
0.5
546
Normal
0.4
258
Normal
0.4
124
Normal
0.4
456
Normal
0.4
944
Normal
0.4
466
Normal
0.4
574
Normal
0.4
664
Normal
0.4
488
Normal
0.4
696
Normal
0.4
882
Normal
0.4
1028
Normal
0.4
136
Normal
0.4
911
Tumor
0.4
474
Normal
0.4
938
Normal
0.4
918
Normal
0.4
686
Normal
0.4
728
Normal
0.4
412
Normal
0.4
272
Normal
0.4
714
Normal
0.4
482
Normal
0.3
982
Normal
0.3
354
Normal
0.3
1014
Normal
0.3
984
Normal
0.3
424
Normal
0.3
113
Tumor
0.3
432
Normal
0.3
464
Normal
0.3
312
Normal
0.3
672
Normal
0.3
824
Normal
0.3
685
Tumor
0.3
617
Tumor
0.3
922
Normal
0.3
786
Normal
0.3
858
Normal
0.3
968
Normal
0.3
362
Normal
0.3
954
Normal
0.3
356
Normal
0.2
912
Normal
0.2
112
Tumor
0.2
428
Normal
0.2
952
Normal
0.2
262
Normal
0.2
756
Normal
0.2
926
Normal
0.2
472
Normal
0.2
146
Normal
0.2
868
Normal
0.2
284
Normal
0.2
212
Normal
0.2
966
Normal
0.2
716
Normal
0.2
1032
Normal
0.2
976
Normal
0.2
528
Normal
0.2
1041
Tumor
0.2
1044
Normal
0.2
818
Normal
0.2
386
Normal
0.1
538
Normal
0.1
126
Normal
0.1
722
Normal
0.1
867
Tumor
0.1
494
Normal
0.1
956
Normal
0.1
534
Normal
0.1
1027
Tumor
0.1
516
Normal
0.1
514
Normal
0.1
224
Normal
0.1
964
Normal
0.1
384
Normal
0.1
1046
Normal
0.1
741
Tumor
0.1
188
Normal
0.0
874
Normal
0.0
434
Normal
0.0
1042
Normal
0.0
327
Tumor
0.0
261
Tumor
0.0
127
Tumor
0.0
435
Tumor
0.0
755
Tumor
0.0
852
Normal
0.0
364
Normal
0.0
925
Tumor
0.0
915
Tumor
0.0
465
Tumor
0.0
958
Normal
-0.1
423
Tumor
-0.1
492
Normal
-0.1
217
Tumor
-0.1
884
Normal
-0.1
341
Tumor
-0.1
268
Normal
-0.1
185
Tumor
-0.1
431
Tumor
-0.1
571
Tumor
-0.1
328
Normal
-0.1
955
Tumor
-0.1
978
Normal
-0.1
416
Normal
-0.1
481
Tumor
-0.2
524
Normal
-0.2
363
Tumor
-0.2
444
Normal
-0.2
145
Tumor
-0.2
937
Tumor
-0.2
451
Tumor
-0.2
615
Tumor
-0.2
1043
Tumor
-0.2
221
Tumor
-0.3
916
Normal
-0.3
195
Tumor
-0.3
415
Tumor
-0.3
387
Tumor
-0.3
498
Normal
-0.3
477
Tumor
-0.3
478
Normal
-0.3
873
Tumor
-0.3
227
Tumor
-0.3
861
Tumor
-0.3
537
Tumor
-0.4
192
Normal
-0.4
536
Normal
-0.4
391
Tumor
-0.4
223
Tumor
-0.4
727
Tumor
-0.4
1025
Tumor
-0.4
231
Tumor
-0.4
883
Tumor
-0.4
187
Tumor
-0.4
1021
Tumor
-0.4
721
Tumor
-0.4
191
Tumor
-0.4
367
Tumor
-0.4
647
Tumor
-0.5
563
Tumor
-0.5
557
Tumor
-0.5
433
Tumor
-0.5
171
Tumor
-0.5
161
Tumor
-0.5
443
Tumor
-0.5
421
Tumor
-0.5
361
Tumor
-0.6
1031
Tumor
-0.6
413
Tumor
-0.6
851
Tumor
-0.6
137
Tumor
-0.6
857
Tumor
-0.6
533
Tumor
-0.6
665
Tumor
-0.6
213
Tumor
-0.6
713
Tumor
-0.6
357
Tumor
-0.6
627
Tumor
-0.6
517
Tumor
-0.6
567
Tumor
-0.6
963
Tumor
-0.6
977
Tumor
-0.6
473
Tumor
-0.6
147
Tumor
-0.6
745
Tumor
-0.6
257
Tumor
-0.6
123
Tumor
-0.7
483
Tumor
-0.7
487
Tumor
-0.7
285
Tumor
-0.7
823
Tumor
-0.7
271
Tumor
-0.7
967
Tumor
-0.7
1015
Tumor
-0.8
461
Tumor
-0.8
785
Tumor
-0.8
447
Tumor
-0.8
695
Tumor
-0.8
411
Tumor
-0.8
277
Tumor
-0.8
525
Tumor
-0.8
913
Tumor
-0.8
331
Tumor
-0.8
865
Tumor
-0.9
467
Tumor
-0.9
814
Normal
-0.9
975
Tumor
-0.9
881
Tumor
-0.9
135
Tumor
-0.9
715
Tumor
-0.9
777
Tumor
-0.9
445
Tumor
-0.9
953
Tumor
-1.0
553
Tumor
-1.0
573
Tumor
-1.0
641
Tumor
-1.0
491
Tumor
-1.0
141
Tumor
-1.0
663
Tumor
-1.0
131
Tumor
-1.0
1045
Tumor
-1.0
943
Tumor
-1.0
635
Tumor
-1.0
493
Tumor
-1.0
427
Tumor
-1.0
463
Tumor
-1.0
297
Tumor
-1.0
513
Tumor
-1.0
393
Tumor
-1.0
1013
Tumor
-1.1
523
Tumor
-1.1
365
Tumor
-1.1
817
Tumor
-1.1
965
Tumor
-1.1
923
Tumor
-1.1
863
Tumor
-1.1
515
Tumor
-1.1
355
Tumor
-1.1
313
Tumor
-1.1
917
Tumor
-1.1
471
Tumor
-1.1
383
Tumor
-1.1
737
Tumor
-1.1
661
Tumor
-1.2
951
Tumor
-1.2
813
Tumor
-1.2
983
Tumor
-1.2
425
Tumor
-1.2
921
Tumor
-1.3
497
Tumor
-1.3
343
Tumor
-1.3
527
Tumor
-1.3
535
Tumor
-1.3
877
Tumor
-1.3
724
Normal
-1.3
815
Tumor
-1.4
455
Tumor
-1.4
125
Tumor
-1.4
957
Tumor
-1.4
375
Tumor
-1.4
351
Tumor
-1.4
697
Tumor
-1.4
395
Tumor
-1.5
743
Tumor
-1.5
671
Tumor
-1.5
545
Tumor
-1.7
311
Tumor
-1.7
283
Tumor
-1.7
385
Tumor
-1.7
211
Tumor
-1.9
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
