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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS3 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
403.3
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3696.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1574.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1410.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1396.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1313.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1244.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1127.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1109.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1078.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1071.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1071.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1068.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1051.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1022.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1016.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1006.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
985.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
979.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
952.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
948.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
913.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
911.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
908.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
904.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
864.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
826.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
815.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
810.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
807.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
807.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
793.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
780.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
766.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
765.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
757.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
753.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
741.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
736.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
732.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
729.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
721.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
715.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
709.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
704.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
703.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
670.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
667.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
665.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
658.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
656.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
655.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
635.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
630.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
627.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
627.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
624.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
618.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
614.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
604.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
596.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
594.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
593.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
592.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
589.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
583.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
578.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
574.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
570.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
568.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
560.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
559.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
550.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
544.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
541.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
537.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
534.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
533.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
525.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
524.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
524.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
522.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
521.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
513.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
511.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
502.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
502.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
499.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
499.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
497.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
496.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
489.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
488.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
477.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
476.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
472.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
471.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
468.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
466.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
465.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
463.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
462.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
462.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
459.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
454.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
450.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
446.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
445.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
443.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
441.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
440.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
439.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
436.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
433.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
431.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
426.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
425.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
425.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
422.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
422.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
421.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
420.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
417.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
414.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
412.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
411.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
410.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
410.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
409.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
404.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
401.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
400.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
399.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
396.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
396.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
395.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
394.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
393.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
392.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
390.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
390.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
386.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
384.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
384.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
383.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
380.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
374.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
369.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
367.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
367.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
366.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
366.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
362.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
360.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
359.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
357.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
355.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
354.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
350.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
348.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
347.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
346.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
345.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
345.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
344.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
344.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
343.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
340.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
336.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
336.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
334.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
334.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
333.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
332.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
331.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
331.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
330.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
329.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
328.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
328.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
326.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
326.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
325.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
324.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
324.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
322.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
321.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
321.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
320.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
320.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
315.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
313.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
312.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
312.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
312.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
312.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
311.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
309.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
308.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
308.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
307.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
306.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
305.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
305.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
304.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
304.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
303.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
300.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
300.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
296.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
296.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
296.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
295.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
293.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
291.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
291.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
291.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
289.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
287.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
287.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
285.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
284.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
283.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
282.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
281.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
280.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
280.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
279.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
276.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
276.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
275.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
275.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
273.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
272.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
270.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
267.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
266.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
265.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
264.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
264.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
264.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
263.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
256.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
254.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
253.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
252.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
251.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
251.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
250.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
247.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
247.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
246.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
243.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
242.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
242.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
240.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
240.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
239.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
238.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
236.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
235.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
234.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
233.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
232.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
232.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
231.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
230.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
227.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
226.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
224.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
224.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
223.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
222.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
221.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
220.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
219.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
219.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
217.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
216.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
216.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
216.2
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
215.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
214.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
214.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
212.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
212.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
209.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
208.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
206.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
205.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
205.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
204.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
202.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
201.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
200.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
199.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
196.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
195.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
194.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
193.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
190.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
189.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
189.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
188.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
188.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
187.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
182.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
182.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
182.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
175.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
174.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
174.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
173.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
172.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
172.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
171.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
167.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
166.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
166.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
166.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
165.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
163.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
163.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
158.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
158.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
157.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
157.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
156.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
151.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
151.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
150.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
150.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
149.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
146.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
144.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
142.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
140.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
140.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
139.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
138.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
136.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
136.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
130.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
127.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
126.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
126.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
108.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
108.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
104.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
103.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
100.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
96.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
96.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
95.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
86.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
77.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
76.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
68.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
57.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
56.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
41.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
39.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 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.
RPS3 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
743.7
Number of samples
231
Samples
Sample
Description
TPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
3186.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
2455.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2385.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2338.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
2264.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2120.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
2060.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
1981.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1897.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
1892.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
1844.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1818.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
1729.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
1659.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
1650.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
1629.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
1623.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
1606.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
1581.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
1541.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
1487.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
1452.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
1417.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
1417.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1415.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
1382.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
1367.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1351.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
1315.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
1274.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1264.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
1253.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1225.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
1206.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
1205.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
1202.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
1188.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1187.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
1181.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1158.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
1156.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
1153.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1143.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
1130.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
1098.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
1078.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
1075.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1041.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
1028.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
1025.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
1016.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
1013.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
973.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
966.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
962.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
925.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
922.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
920.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
917.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
915.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
898.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
893.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
890.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
886.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
884.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
870.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
848.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
848.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
847.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
836.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
835.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
822.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
822.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
811.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
805.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
800.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
792.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
791.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
771.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
755.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
751.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
745.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
742.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
730.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
727.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
725.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
724.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
724.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
715.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
700.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
699.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
694.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
687.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
683.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
681.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
661.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
660.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
660.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
658.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
657.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
656.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
646.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
644.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
644.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
643.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
625.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
623.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
610.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
607.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
603.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
602.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
599.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
599.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
599.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
595.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
592.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
584.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
582.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
578.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
574.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
556.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
554.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
543.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
539.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
535.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
534.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
534.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
530.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
526.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
524.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
524.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
523.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
520.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
508.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
502.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
501.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
497.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
493.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
491.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
490.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
484.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
483.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
478.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
477.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
473.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
472.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
468.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
464.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
464.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
463.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
462.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
458.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
456.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
452.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
452.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
448.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
448.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
443.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
438.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
435.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
434.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
431.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
428.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
424.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
424.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
423.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
422.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
422.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
420.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
414.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
413.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
410.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
408.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
408.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
407.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
405.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
405.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
400.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
399.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
387.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
386.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
383.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
382.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
378.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
375.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
372.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
367.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
366.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
366.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
365.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
359.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
357.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
355.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
354.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
352.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
348.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
345.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
337.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
335.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
335.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
331.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
328.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
318.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
316.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
304.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
298.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
293.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
291.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
285.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
282.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
276.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
271.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
271.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
270.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
267.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
266.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
265.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
264.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
260.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
258.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
252.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
248.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
240.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
230.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
214.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
208.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
201.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
182.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
180.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
150.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
148.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.5
327
Tumor
0.4
557
Tumor
0.4
1021
Tumor
0.4
567
Tumor
0.4
815
Tumor
0.4
713
Tumor
0.3
523
Tumor
0.3
978
Normal
0.3
481
Tumor
0.3
851
Tumor
0.3
955
Tumor
0.3
727
Tumor
0.3
912
Normal
0.3
922
Normal
0.3
965
Tumor
0.3
983
Tumor
0.3
223
Tumor
0.3
285
Tumor
0.3
1014
Normal
0.3
636
Normal
0.3
514
Normal
0.3
937
Tumor
0.3
685
Tumor
0.3
1025
Tumor
0.2
984
Normal
0.2
696
Normal
0.2
944
Normal
0.2
938
Normal
0.2
728
Normal
0.2
526
Normal
0.2
926
Normal
0.2
918
Normal
0.2
448
Normal
0.2
528
Normal
0.2
756
Normal
0.2
131
Tumor
0.2
1044
Normal
0.2
524
Normal
0.2
967
Tumor
0.2
212
Normal
0.2
916
Normal
0.2
697
Tumor
0.2
545
Tumor
0.2
968
Normal
0.2
517
Tumor
0.2
412
Normal
0.2
778
Normal
0.2
981
Tumor
0.2
951
Tumor
0.2
1042
Normal
0.2
864
Normal
0.2
1026
Normal
0.2
533
Tumor
0.2
964
Normal
0.2
534
Normal
0.2
525
Tumor
0.2
227
Tumor
0.2
724
Normal
0.2
473
Tumor
0.2
1027
Tumor
0.2
852
Normal
0.2
355
Tumor
0.2
923
Tumor
0.2
488
Normal
0.2
356
Normal
0.2
721
Tumor
0.2
284
Normal
0.2
982
Normal
0.2
777
Tumor
0.2
1022
Normal
0.2
924
Normal
0.2
698
Normal
0.2
546
Normal
0.2
286
Normal
0.2
745
Tumor
0.2
723
Tumor
0.2
1016
Normal
0.2
558
Normal
0.2
462
Normal
0.1
494
Normal
0.1
518
Normal
0.1
484
Normal
0.1
858
Normal
0.1
1031
Tumor
0.1
958
Normal
0.1
824
Normal
0.1
862
Normal
0.1
554
Normal
0.1
884
Normal
0.1
482
Normal
0.1
162
Normal
0.1
191
Tumor
0.1
1046
Normal
0.1
786
Normal
0.1
113
Tumor
0.1
497
Tumor
0.1
1015
Tumor
0.1
817
Tumor
0.1
686
Normal
0.1
331
Tumor
0.1
414
Normal
0.1
966
Normal
0.1
515
Tumor
0.1
785
Tumor
0.1
228
Normal
0.1
957
Tumor
0.1
516
Normal
0.1
715
Tumor
0.1
1032
Normal
0.1
535
Tumor
0.1
954
Normal
0.1
363
Tumor
0.1
818
Normal
0.1
353
Tumor
0.1
714
Normal
0.1
976
Normal
0.1
195
Tumor
0.1
738
Normal
0.1
472
Normal
0.1
422
Normal
0.1
332
Normal
0.1
214
Normal
0.1
755
Tumor
0.1
467
Tumor
0.1
953
Tumor
0.1
743
Tumor
0.1
196
Normal
0.1
866
Normal
0.1
172
Normal
0.1
746
Normal
0.1
415
Tumor
0.1
952
Normal
0.1
956
Normal
0.1
314
Normal
0.1
882
Normal
0.1
722
Normal
0.1
865
Tumor
0.1
628
Normal
0.1
145
Tumor
0.1
328
Normal
0.1
367
Tumor
0.1
877
Tumor
0.1
1028
Normal
0.1
432
Normal
0.1
394
Normal
0.1
742
Normal
0.1
474
Normal
0.1
128
Normal
0.1
142
Normal
0.1
913
Tumor
0.1
364
Normal
0.1
573
Tumor
0.1
478
Normal
0.1
527
Tumor
0.1
617
Tumor
0.1
466
Normal
0.1
737
Tumor
0.1
222
Normal
0.1
221
Tumor
0.1
553
Tumor
0.1
616
Normal
0.1
921
Tumor
0.1
816
Normal
0.1
224
Normal
0.1
464
Normal
0.1
136
Normal
0.1
513
Tumor
0.1
695
Tumor
0.0
666
Normal
0.0
312
Normal
0.0
492
Normal
0.0
861
Tumor
0.0
868
Normal
0.0
716
Normal
0.0
416
Normal
0.0
823
Tumor
0.0
536
Normal
0.0
648
Normal
0.0
564
Normal
0.0
572
Normal
0.0
358
Normal
0.0
878
Normal
0.0
857
Tumor
0.0
1043
Tumor
0.0
568
Normal
0.0
925
Tumor
0.0
186
Normal
0.0
392
Normal
0.0
661
Tumor
0.0
493
Tumor
0.0
436
Normal
0.0
421
Tumor
0.0
147
Tumor
0.0
187
Tumor
0.0
963
Tumor
0.0
393
Tumor
0.0
218
Normal
0.0
618
Normal
0.0
1013
Tumor
0.0
471
Tumor
0.0
428
Normal
0.0
148
Normal
0.0
376
Normal
0.0
662
Normal
0.0
943
Tumor
0.0
664
Normal
0.0
232
Normal
0.0
483
Tumor
0.0
298
Normal
0.0
278
Normal
0.0
384
Normal
0.0
426
Normal
0.0
388
Normal
0.0
411
Tumor
0.0
446
Normal
0.0
917
Tumor
0.0
915
Tumor
0.0
571
Tumor
0.0
647
Tumor
0.0
914
Normal
0.0
491
Tumor
0.0
362
Normal
0.0
873
Tumor
0.0
413
Tumor
0.0
538
Normal
0.0
267
Tumor
0.0
352
Normal
0.0
1041
Tumor
0.0
111
Normal
0.0
424
Normal
0.0
283
Tumor
0.0
257
Tumor
0.0
188
Normal
0.0
447
Tumor
0.0
444
Normal
0.0
132
Normal
0.0
135
Tumor
0.0
258
Normal
0.0
672
Normal
0.0
396
Normal
0.0
211
Tumor
0.0
477
Tumor
0.0
351
Tumor
0.0
487
Tumor
0.0
975
Tumor
-0.1
126
Normal
-0.1
977
Tumor
-0.1
114
Normal
-0.1
387
Tumor
-0.1
867
Tumor
-0.1
368
Normal
-0.1
563
Tumor
-0.1
146
Normal
-0.1
874
Normal
-0.1
881
Tumor
-0.1
213
Tumor
-0.1
127
Tumor
-0.1
385
Tumor
-0.1
217
Tumor
-0.1
468
Normal
-0.1
395
Tumor
-0.1
277
Tumor
-0.1
342
Normal
-0.1
671
Tumor
-0.1
498
Normal
-0.1
431
Tumor
-0.1
354
Normal
-0.1
435
Tumor
-0.1
268
Normal
-0.1
445
Tumor
-0.1
461
Tumor
-0.1
137
Tumor
-0.1
344
Normal
-0.1
455
Tumor
-0.1
615
Tumor
-0.1
361
Tumor
-0.1
386
Normal
-0.1
452
Normal
-0.1
665
Tumor
-0.1
744
Normal
-0.1
138
Normal
-0.1
425
Tumor
-0.1
124
Normal
-0.1
813
Tumor
-0.1
271
Tumor
-0.1
465
Tumor
-0.1
366
Normal
-0.1
463
Tumor
-0.1
883
Tumor
-0.1
423
Tumor
-0.1
125
Tumor
-0.1
451
Tumor
-0.1
443
Tumor
-0.1
642
Normal
-0.1
456
Normal
-0.1
272
Normal
-0.1
863
Tumor
-0.1
574
Normal
-0.1
262
Normal
-0.1
814
Normal
-0.1
365
Tumor
-0.1
433
Tumor
-0.1
112
Tumor
-0.2
434
Normal
-0.2
192
Normal
-0.2
357
Tumor
-0.2
663
Tumor
-0.2
427
Tumor
-0.2
1045
Tumor
-0.2
911
Tumor
-0.2
231
Tumor
-0.2
391
Tumor
-0.2
261
Tumor
-0.2
311
Tumor
-0.2
375
Tumor
-0.2
313
Tumor
-0.2
171
Tumor
-0.2
641
Tumor
-0.2
627
Tumor
-0.2
185
Tumor
-0.2
635
Tumor
-0.2
343
Tumor
-0.3
297
Tumor
-0.3
141
Tumor
-0.3
161
Tumor
-0.3
123
Tumor
-0.3
341
Tumor
-0.3
741
Tumor
-0.3
383
Tumor
-0.4
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
