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.
SULT2A1 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
316.6
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2310.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1703.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1563.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1533.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1499.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1382.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1337.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1333.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1319.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1252.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1162.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1117.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1066.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1059.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1003.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
951.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
924.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
895.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
856.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
842.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
827.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
824.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
822.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
814.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
808.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
797.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
768.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
760.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
741.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
731.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
729.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
725.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
715.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
703.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
689.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
686.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
683.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
680.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
674.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
667.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
666.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
664.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
649.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
645.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
642.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
625.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
622.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
620.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
607.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
604.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
603.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
600.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
592.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
587.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
585.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
578.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
563.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
541.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
535.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
531.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
530.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
519.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
516.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
514.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
511.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
511.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
510.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
504.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
502.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
489.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
485.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
481.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
479.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
478.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
474.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
466.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
454.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
453.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
448.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
448.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
446.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
445.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
438.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
431.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
428.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
426.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
425.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
423.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
421.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
415.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
415.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
412.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
412.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
411.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
408.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
407.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
405.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
403.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
401.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
400.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
399.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
397.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
397.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
395.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
394.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
392.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
391.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
387.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
387.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
384.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
381.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
377.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
376.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
374.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
371.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
369.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
368.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
368.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
367.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
366.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
365.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
365.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
364.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
362.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
361.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
361.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
359.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
354.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
351.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
350.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
349.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
347.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
345.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
338.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
337.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
335.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
332.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
331.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
330.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
323.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
322.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
320.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
316.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
310.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
303.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
303.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
299.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
298.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
298.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
295.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
295.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
294.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
294.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
293.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
292.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
289.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
289.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
287.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
284.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
284.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
274.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
274.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
274.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
273.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
271.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
271.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
269.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
264.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
262.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
261.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
261.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
261.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
257.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
256.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
256.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
255.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
255.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
246.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
246.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
245.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
245.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
244.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
242.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
242.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
237.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
232.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
227.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
217.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
216.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
215.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
212.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
209.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
208.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
207.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
207.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
207.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
206.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
206.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
205.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
202.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
202.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
201.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
201.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
197.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
197.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
195.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
192.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
192.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
190.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
188.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
186.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
185.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
185.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
184.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
180.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
178.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
174.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
173.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
173.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
168.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
167.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
167.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
166.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
164.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
163.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
163.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
160.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
159.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
157.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
156.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
155.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
153.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
153.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
153.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
151.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
151.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
151.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
149.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
149.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
149.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
147.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
146.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
141.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
139.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
138.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
134.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
134.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
134.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
130.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
127.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
127.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
126.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
121.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
121.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
121.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
120.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
120.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
119.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
119.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
118.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
116.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
115.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
113.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
112.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
111.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
111.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
107.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
107.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
105.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
105.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
105.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
103.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
98.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
98.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
98.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
97.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
96.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
95.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
94.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
92.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
92.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
91.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
89.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
89.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
88.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
88.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
87.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
86.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
79.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
76.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
74.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
71.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
64.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
64.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
64.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
60.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
57.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
57.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
56.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
55.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
55.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
55.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
54.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
53.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
52.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
52.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
47.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
46.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
45.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
42.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
41.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
39.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
38.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
36.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
36.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
35.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
33.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
33.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
32.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
25.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
24.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
22.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
19.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
18.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
18.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
16.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
15.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
11.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
11.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
8.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
8.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
7.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
7.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
6.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
6.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
5.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
5.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
5.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
5.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
4.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
4.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
0.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
0.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
0.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
0.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
0.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
0.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
0.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
0.3
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.
SULT2A1 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
511.9
Number of samples
231
Samples
Sample
Description
pTPM
DO45131
53 years, male, NA, stage:4, dead, 360 days
3235.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
2487.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
2123.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
1951.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1896.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
1877.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1791.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1625.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
1584.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
1535.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
1472.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
1428.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
1368.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
1359.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
1315.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1314.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
1305.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1263.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1210.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1162.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
1161.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
1161.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1152.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
1139.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
1134.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
1099.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1090.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1077.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
1066.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
1064.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
1024.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
1019.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1001.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
999.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
995.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
983.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
976.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
970.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
965.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
963.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
960.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
958.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
936.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
907.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
907.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
897.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
896.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
874.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
863.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
855.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
854.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
827.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
824.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
801.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
799.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
778.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
773.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
739.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
734.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
733.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
730.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
693.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
689.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
688.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
672.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
671.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
668.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
660.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
657.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
653.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
652.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
650.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
631.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
621.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
609.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
602.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
593.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
582.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
579.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
567.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
558.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
558.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
552.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
536.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
535.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
517.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
516.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
512.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
508.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
501.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
500.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
493.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
491.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
491.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
488.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
487.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
482.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
476.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
473.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
473.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
471.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
470.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
451.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
450.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
443.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
433.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
423.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
423.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
415.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
409.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
406.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
403.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
399.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
395.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
389.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
388.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
385.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
380.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
372.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
363.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
357.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
352.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
350.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
348.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
346.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
342.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
338.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
337.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
335.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
335.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
328.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
322.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
319.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
319.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
315.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
305.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
304.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
302.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
294.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
292.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
284.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
281.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
276.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
264.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
262.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
258.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
253.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
251.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
247.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
244.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
233.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
232.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
228.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
215.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
213.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
211.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
204.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
196.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
196.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
192.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
191.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
186.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
179.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
169.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
168.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
168.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
154.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
147.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
146.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
140.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
139.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
138.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
137.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
133.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
129.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
124.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
111.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
111.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
109.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
105.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
102.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
101.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
97.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
95.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
85.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
75.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
73.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
73.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
69.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
61.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
60.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
54.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
54.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
50.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
44.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
41.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
40.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
40.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
38.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
32.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
28.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
24.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
21.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
18.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
14.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
11.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
8.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
8.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
8.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
7.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
5.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
3.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
3.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
2.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
2.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
1.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
1.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
1.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
0.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
0.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
0.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
0.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
0.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
0.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
0.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
147
Tumor
1.4
1027
Tumor
1.2
922
Normal
1.0
452
Normal
1.0
435
Tumor
1.0
448
Normal
0.9
466
Normal
0.9
745
Tumor
0.9
944
Normal
0.9
851
Tumor
0.9
171
Tumor
0.9
616
Normal
0.9
494
Normal
0.8
915
Tumor
0.8
546
Normal
0.8
368
Normal
0.8
864
Normal
0.8
636
Normal
0.8
341
Tumor
0.7
982
Normal
0.7
286
Normal
0.7
124
Normal
0.7
358
Normal
0.7
618
Normal
0.7
128
Normal
0.7
228
Normal
0.7
698
Normal
0.7
686
Normal
0.7
446
Normal
0.7
696
Normal
0.7
376
Normal
0.7
964
Normal
0.7
568
Normal
0.7
914
Normal
0.7
332
Normal
0.7
918
Normal
0.7
516
Normal
0.7
462
Normal
0.6
186
Normal
0.6
716
Normal
0.6
172
Normal
0.6
222
Normal
0.6
514
Normal
0.6
756
Normal
0.6
392
Normal
0.6
354
Normal
0.6
1016
Normal
0.6
558
Normal
0.6
966
Normal
0.6
414
Normal
0.6
852
Normal
0.6
824
Normal
0.6
723
Tumor
0.6
126
Normal
0.6
722
Normal
0.6
868
Normal
0.6
862
Normal
0.6
468
Normal
0.5
258
Normal
0.5
412
Normal
0.5
212
Normal
0.5
272
Normal
0.5
1028
Normal
0.5
123
Tumor
0.5
976
Normal
0.5
356
Normal
0.5
362
Normal
0.5
394
Normal
0.5
662
Normal
0.5
564
Normal
0.5
746
Normal
0.5
232
Normal
0.5
816
Normal
0.5
231
Tumor
0.5
628
Normal
0.5
858
Normal
0.5
714
Normal
0.5
916
Normal
0.5
981
Tumor
0.5
1044
Normal
0.5
422
Normal
0.5
284
Normal
0.5
257
Tumor
0.5
978
Normal
0.5
866
Normal
0.5
416
Normal
0.4
567
Tumor
0.4
528
Normal
0.4
924
Normal
0.4
426
Normal
0.4
958
Normal
0.4
484
Normal
0.4
1022
Normal
0.4
984
Normal
0.4
298
Normal
0.4
352
Normal
0.4
1042
Normal
0.4
162
Normal
0.4
1026
Normal
0.4
666
Normal
0.4
642
Normal
0.4
432
Normal
0.4
912
Normal
0.4
488
Normal
0.4
138
Normal
0.4
436
Normal
0.4
956
Normal
0.4
926
Normal
0.4
474
Normal
0.4
1032
Normal
0.3
314
Normal
0.3
112
Tumor
0.3
111
Normal
0.3
262
Normal
0.3
786
Normal
0.3
388
Normal
0.3
434
Normal
0.3
342
Normal
0.3
1046
Normal
0.3
867
Tumor
0.3
738
Normal
0.3
954
Normal
0.3
742
Normal
0.3
396
Normal
0.3
534
Normal
0.3
968
Normal
0.3
554
Normal
0.3
574
Normal
0.3
386
Normal
0.3
328
Normal
0.3
1014
Normal
0.3
218
Normal
0.3
648
Normal
0.3
518
Normal
0.3
132
Normal
0.3
393
Tumor
0.3
938
Normal
0.3
366
Normal
0.3
952
Normal
0.2
526
Normal
0.2
664
Normal
0.2
882
Normal
0.2
344
Normal
0.2
755
Tumor
0.2
142
Normal
0.2
214
Normal
0.2
456
Normal
0.2
114
Normal
0.2
278
Normal
0.2
127
Tumor
0.2
224
Normal
0.2
538
Normal
0.1
818
Normal
0.1
492
Normal
0.1
884
Normal
0.1
146
Normal
0.1
196
Normal
0.1
472
Normal
0.1
327
Tumor
0.1
353
Tumor
0.1
911
Tumor
0.1
312
Normal
0.0
148
Normal
0.0
481
Tumor
0.0
433
Tumor
0.0
953
Tumor
0.0
464
Normal
0.0
672
Normal
0.0
744
Normal
0.0
977
Tumor
0.0
424
Normal
0.0
136
Normal
0.0
955
Tumor
0.0
1045
Tumor
0.0
268
Normal
0.0
572
Normal
0.0
778
Normal
-0.1
482
Normal
-0.1
557
Tumor
-0.1
364
Normal
-0.1
524
Normal
-0.1
363
Tumor
-0.1
461
Tumor
-0.1
451
Tumor
-0.2
141
Tumor
-0.2
125
Tumor
-0.2
188
Normal
-0.2
444
Normal
-0.2
1015
Tumor
-0.2
428
Normal
-0.2
685
Tumor
-0.2
863
Tumor
-0.2
145
Tumor
-0.2
715
Tumor
-0.2
161
Tumor
-0.3
195
Tumor
-0.3
465
Tumor
-0.3
113
Tumor
-0.3
313
Tumor
-0.3
957
Tumor
-0.3
728
Normal
-0.3
663
Tumor
-0.3
513
Tumor
-0.3
857
Tumor
-0.3
878
Normal
-0.3
536
Normal
-0.3
192
Normal
-0.3
384
Normal
-0.3
423
Tumor
-0.4
665
Tumor
-0.4
921
Tumor
-0.4
913
Tumor
-0.4
267
Tumor
-0.4
217
Tumor
-0.4
873
Tumor
-0.4
261
Tumor
-0.4
627
Tumor
-0.4
537
Tumor
-0.4
365
Tumor
-0.4
963
Tumor
-0.4
727
Tumor
-0.4
478
Normal
-0.4
777
Tumor
-0.5
415
Tumor
-0.5
641
Tumor
-0.5
1041
Tumor
-0.5
515
Tumor
-0.5
277
Tumor
-0.5
861
Tumor
-0.6
647
Tumor
-0.6
473
Tumor
-0.6
1013
Tumor
-0.6
553
Tumor
-0.6
874
Normal
-0.6
498
Normal
-0.6
721
Tumor
-0.6
357
Tumor
-0.6
411
Tumor
-0.6
421
Tumor
-0.6
187
Tumor
-0.7
1043
Tumor
-0.7
185
Tumor
-0.7
391
Tumor
-0.7
447
Tumor
-0.7
483
Tumor
-0.8
814
Normal
-0.8
431
Tumor
-0.8
493
Tumor
-0.8
221
Tumor
-0.8
1021
Tumor
-0.8
213
Tumor
-0.9
741
Tumor
-0.9
525
Tumor
-0.9
615
Tumor
-0.9
617
Tumor
-0.9
635
Tumor
-0.9
737
Tumor
-0.9
563
Tumor
-0.9
975
Tumor
-0.9
445
Tumor
-0.9
823
Tumor
-0.9
491
Tumor
-0.9
191
Tumor
-0.9
361
Tumor
-0.9
724
Normal
-1.0
463
Tumor
-1.0
943
Tumor
-1.0
865
Tumor
-1.0
375
Tumor
-1.0
881
Tumor
-1.0
883
Tumor
-1.1
1031
Tumor
-1.1
965
Tumor
-1.1
785
Tumor
-1.1
271
Tumor
-1.1
467
Tumor
-1.2
137
Tumor
-1.2
227
Tumor
-1.2
917
Tumor
-1.3
413
Tumor
-1.3
813
Tumor
-1.3
533
Tumor
-1.3
517
Tumor
-1.3
817
Tumor
-1.3
487
Tumor
-1.3
355
Tumor
-1.4
425
Tumor
-1.4
297
Tumor
-1.4
477
Tumor
-1.4
571
Tumor
-1.5
427
Tumor
-1.5
695
Tumor
-1.6
523
Tumor
-1.6
937
Tumor
-1.6
697
Tumor
-1.7
283
Tumor
-1.7
383
Tumor
-1.7
343
Tumor
-1.8
471
Tumor
-1.8
923
Tumor
-1.8
395
Tumor
-1.8
951
Tumor
-1.9
331
Tumor
-1.9
223
Tumor
-1.9
1025
Tumor
-1.9
573
Tumor
-2.0
671
Tumor
-2.0
877
Tumor
-2.0
443
Tumor
-2.0
311
Tumor
-2.0
713
Tumor
-2.0
387
Tumor
-2.1
455
Tumor
-2.1
967
Tumor
-2.1
135
Tumor
-2.1
983
Tumor
-2.1
527
Tumor
-2.2
367
Tumor
-2.2
925
Tumor
-2.2
815
Tumor
-2.3
351
Tumor
-2.3
545
Tumor
-2.4
285
Tumor
-2.5
211
Tumor
-2.5
385
Tumor
-2.6
661
Tumor
-2.6
497
Tumor
-2.6
131
Tumor
-2.8
535
Tumor
-2.9
743
Tumor
-3.2
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
