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.
RPL35A is validated prognostic, high expression is unfavorable 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
564.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2211.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2010.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1972.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1899.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1879.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1868.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1840.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1819.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1548.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1540.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1519.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1519.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1476.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1382.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1363.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1309.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1286.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1285.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1195.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1154.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1152.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1104.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1103.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1066.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1062.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1051.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1022.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1006.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
997.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
967.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
962.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
951.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
939.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
932.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
931.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
931.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
931.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
922.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
921.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
914.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
914.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
913.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
910.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
907.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
904.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
890.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
890.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
887.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
881.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
878.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
875.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
869.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
868.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
835.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
831.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
829.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
828.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
827.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
825.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
814.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
812.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
810.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
792.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
787.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
782.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
781.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
770.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
768.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
760.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
759.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
738.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
737.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
737.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
727.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
727.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
727.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
722.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
720.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
715.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
709.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
704.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
702.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
698.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
695.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
691.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
690.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
689.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
684.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
682.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
679.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
678.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
677.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
669.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
668.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
667.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
665.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
664.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
663.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
658.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
647.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
641.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
639.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
634.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
632.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
627.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
626.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
622.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
616.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
613.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
612.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
611.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
611.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
611.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
609.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
607.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
606.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
588.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
587.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
586.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
583.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
580.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
578.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
578.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
576.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
574.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
573.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
570.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
568.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
568.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
563.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
561.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
561.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
556.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
554.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
552.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
549.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
544.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
543.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
542.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
542.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
541.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
539.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
538.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
536.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
534.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
534.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
530.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
526.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
525.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
523.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
521.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
520.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
520.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
519.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
519.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
514.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
512.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
512.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
512.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
509.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
508.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
507.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
504.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
503.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
502.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
500.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
500.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
494.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
492.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
491.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
490.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
490.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
489.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
489.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
488.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
486.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
485.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
479.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
477.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
476.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
475.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
475.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
475.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
472.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
472.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
465.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
461.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
460.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
459.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
457.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
457.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
455.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
450.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
450.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
447.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
447.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
446.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
446.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
444.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
443.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
441.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
439.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
437.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
436.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
436.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
435.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
433.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
431.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
428.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
423.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
419.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
418.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
417.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
416.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
412.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
410.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
410.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
407.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
405.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
404.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
404.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
404.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
403.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
401.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
401.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
401.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
399.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
399.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
398.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
395.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
394.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
390.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
390.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
390.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
389.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
389.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
387.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
387.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
385.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
385.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
379.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
379.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
378.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
378.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
377.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
376.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
376.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
375.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
374.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
372.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
372.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
371.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
368.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
367.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
366.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
365.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
365.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
364.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
362.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
358.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
357.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
357.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
356.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
356.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
356.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
356.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
353.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
348.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
344.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
342.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
340.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
340.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
338.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
337.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
336.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
335.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
335.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
335.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
334.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
334.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
334.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
332.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
331.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
329.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
326.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
323.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
322.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
320.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
319.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
319.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
318.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
318.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
317.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
316.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
316.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
315.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
313.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
310.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
309.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
308.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
307.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
306.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
305.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
304.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
302.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
301.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
300.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
299.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
298.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
297.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
296.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
295.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
295.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
293.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
291.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
290.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
290.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
289.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
283.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
281.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
279.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
279.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
279.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
279.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
276.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
273.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
272.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
270.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
267.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
265.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
265.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
264.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
264.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
262.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
261.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
259.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
257.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
257.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
254.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
253.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
253.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
252.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
251.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
249.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
247.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
247.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
243.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
237.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
237.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
236.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
234.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
232.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
227.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
225.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
213.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
208.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
203.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
178.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
170.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
168.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
164.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 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.
RPL35A is validated 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 pTPM
1239.6
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
4935.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4754.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
4006.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3189.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
3185.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
3124.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
3021.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
2836.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
2707.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
2707.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2674.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
2563.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
2551.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2436.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
2436.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
2384.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
2341.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2327.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
2314.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
2305.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
2266.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2260.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
2218.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2145.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2119.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
2091.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
2033.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
2007.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
1976.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
1966.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
1963.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
1941.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
1932.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
1921.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
1897.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
1893.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
1893.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1859.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
1848.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
1819.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
1809.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
1746.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
1731.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
1726.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1686.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
1686.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1664.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
1659.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
1650.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1618.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1595.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
1571.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1562.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1557.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
1543.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
1534.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
1527.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
1513.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1501.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
1494.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
1488.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1453.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1453.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
1447.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
1445.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
1442.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
1415.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1413.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
1406.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1396.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
1377.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
1374.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
1365.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1360.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
1360.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
1350.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
1349.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
1342.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1339.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1330.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1326.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
1321.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
1318.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
1315.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1312.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
1311.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
1304.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
1291.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
1275.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1270.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
1267.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1258.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
1243.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
1235.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
1231.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1230.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
1224.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
1205.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
1184.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1168.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1165.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
1163.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1155.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
1128.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
1128.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
1115.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
1112.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1097.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
1084.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1067.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
1062.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
1060.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
1047.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1041.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
1039.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1031.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
1030.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
1021.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1021.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
1011.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
1008.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1007.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
995.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
990.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
989.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
987.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
984.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
982.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
980.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
968.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
960.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
958.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
948.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
935.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
928.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
927.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
927.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
921.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
918.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
918.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
915.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
913.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
908.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
895.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
877.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
860.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
860.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
849.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
849.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
847.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
830.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
825.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
825.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
824.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
823.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
816.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
816.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
812.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
808.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
806.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
799.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
797.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
795.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
783.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
782.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
781.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
777.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
771.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
761.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
751.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
741.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
732.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
725.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
720.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
712.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
707.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
701.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
700.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
699.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
690.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
689.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
687.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
679.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
677.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
677.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
676.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
666.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
664.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
657.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
657.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
650.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
649.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
647.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
644.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
644.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
642.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
638.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
632.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
630.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
628.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
624.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
621.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
614.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
607.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
606.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
599.1
DO45255
81 years, male, NA, stage:3, alive, 720 days
590.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
589.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
587.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
584.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
576.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
572.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
567.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
557.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
553.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
535.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
519.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
516.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
515.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
510.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
509.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
503.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
500.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
496.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
449.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
446.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
413.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
369.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
333.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
293.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
283.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.6
467
Tumor
0.5
285
Tumor
0.5
1021
Tumor
0.4
497
Tumor
0.4
523
Tumor
0.4
557
Tumor
0.4
131
Tumor
0.4
481
Tumor
0.4
567
Tumor
0.4
327
Tumor
0.3
851
Tumor
0.3
517
Tumor
0.3
965
Tumor
0.3
1025
Tumor
0.3
227
Tumor
0.3
815
Tumor
0.3
223
Tumor
0.3
135
Tumor
0.3
685
Tumor
0.3
353
Tumor
0.3
515
Tumor
0.3
367
Tumor
0.3
617
Tumor
0.3
983
Tumor
0.3
864
Normal
0.3
195
Tumor
0.3
331
Tumor
0.3
978
Normal
0.2
191
Tumor
0.2
514
Normal
0.2
1014
Normal
0.2
554
Normal
0.2
824
Normal
0.2
393
Tumor
0.2
918
Normal
0.2
696
Normal
0.2
1027
Tumor
0.2
464
Normal
0.2
728
Normal
0.2
661
Tumor
0.2
984
Normal
0.2
545
Tumor
0.2
724
Normal
0.2
527
Tumor
0.2
145
Tumor
0.2
355
Tumor
0.2
526
Normal
0.2
964
Normal
0.2
286
Normal
0.2
524
Normal
0.2
777
Tumor
0.2
267
Tumor
0.2
1046
Normal
0.2
518
Normal
0.2
937
Tumor
0.2
727
Tumor
0.2
493
Tumor
0.2
957
Tumor
0.2
743
Tumor
0.2
955
Tumor
0.2
564
Normal
0.2
463
Tumor
0.2
756
Normal
0.2
528
Normal
0.2
745
Tumor
0.2
525
Tumor
0.2
926
Normal
0.2
982
Normal
0.2
113
Tumor
0.2
443
Tumor
0.2
533
Tumor
0.2
212
Normal
0.1
284
Normal
0.1
817
Tumor
0.1
412
Normal
0.1
944
Normal
0.1
568
Normal
0.1
228
Normal
0.1
636
Normal
0.1
818
Normal
0.1
413
Tumor
0.1
858
Normal
0.1
1044
Normal
0.1
922
Normal
0.1
513
Tumor
0.1
436
Normal
0.1
446
Normal
0.1
432
Normal
0.1
494
Normal
0.1
482
Normal
0.1
187
Tumor
0.1
492
Normal
0.1
697
Tumor
0.1
387
Tumor
0.1
196
Normal
0.1
882
Normal
0.1
211
Tumor
0.1
558
Normal
0.1
866
Normal
0.1
852
Normal
0.1
722
Normal
0.1
755
Tumor
0.1
136
Normal
0.1
737
Tumor
0.1
222
Normal
0.1
128
Normal
0.1
257
Tumor
0.1
487
Tumor
0.1
865
Tumor
0.1
213
Tumor
0.1
778
Normal
0.1
713
Tumor
0.1
715
Tumor
0.1
356
Normal
0.1
224
Normal
0.1
147
Tumor
0.1
1016
Normal
0.1
723
Tumor
0.1
516
Normal
0.1
392
Normal
0.1
484
Normal
0.1
976
Normal
0.1
474
Normal
0.1
462
Normal
0.1
395
Tumor
0.1
488
Normal
0.1
738
Normal
0.1
414
Normal
0.1
351
Tumor
0.1
221
Tumor
0.1
483
Tumor
0.1
1042
Normal
0.1
162
Normal
0.1
553
Tumor
0.1
1031
Tumor
0.1
363
Tumor
0.1
172
Normal
0.1
628
Normal
0.1
142
Normal
0.1
186
Normal
0.1
572
Normal
0.1
968
Normal
0.1
534
Normal
0.1
271
Tumor
0.1
385
Tumor
0.1
431
Tumor
0.1
981
Tumor
0.1
214
Normal
0.1
448
Normal
0.1
1026
Normal
0.1
975
Tumor
0.1
662
Normal
0.0
352
Normal
0.0
535
Tumor
0.0
1043
Tumor
0.0
111
Normal
0.0
873
Tumor
0.0
137
Tumor
0.0
364
Normal
0.0
912
Normal
0.0
433
Tumor
0.0
421
Tumor
0.0
913
Tumor
0.0
466
Normal
0.0
574
Normal
0.0
424
Normal
0.0
218
Normal
0.0
358
Normal
0.0
258
Normal
0.0
148
Normal
0.0
232
Normal
0.0
188
Normal
0.0
428
Normal
0.0
925
Tumor
0.0
952
Normal
0.0
422
Normal
0.0
114
Normal
0.0
455
Tumor
0.0
468
Normal
0.0
425
Tumor
0.0
785
Tumor
0.0
857
Tumor
0.0
411
Tumor
0.0
217
Tumor
0.0
878
Normal
0.0
546
Normal
0.0
132
Normal
0.0
963
Tumor
0.0
867
Tumor
0.0
262
Normal
0.0
416
Normal
0.0
917
Tumor
0.0
451
Tumor
0.0
874
Normal
0.0
786
Normal
0.0
434
Normal
0.0
823
Tumor
0.0
444
Normal
0.0
231
Tumor
0.0
881
Tumor
0.0
698
Normal
0.0
746
Normal
0.0
376
Normal
0.0
461
Tumor
0.0
664
Normal
0.0
314
Normal
0.0
138
Normal
0.0
1028
Normal
0.0
967
Tumor
0.0
816
Normal
0.0
618
Normal
0.0
415
Tumor
0.0
1032
Normal
0.0
298
Normal
0.0
473
Tumor
0.0
362
Normal
0.0
332
Normal
0.0
272
Normal
0.0
261
Tumor
0.0
966
Normal
0.0
956
Normal
0.0
384
Normal
0.0
563
Tumor
0.0
742
Normal
0.0
573
Tumor
0.0
642
Normal
0.0
447
Tumor
0.0
714
Normal
0.0
471
Tumor
0.0
396
Normal
0.0
571
Tumor
-0.1
342
Normal
-0.1
744
Normal
-0.1
916
Normal
-0.1
498
Normal
-0.1
426
Normal
-0.1
814
Normal
-0.1
423
Tumor
-0.1
472
Normal
-0.1
185
Tumor
-0.1
146
Normal
-0.1
883
Tumor
-0.1
161
Tumor
-0.1
671
Tumor
-0.1
283
Tumor
-0.1
923
Tumor
-0.1
954
Normal
-0.1
124
Normal
-0.1
648
Normal
-0.1
427
Tumor
-0.1
538
Normal
-0.1
951
Tumor
-0.1
312
Normal
-0.1
536
Normal
-0.1
863
Tumor
-0.1
813
Tumor
-0.1
171
Tumor
-0.1
394
Normal
-0.1
721
Tumor
-0.1
112
Tumor
-0.1
953
Tumor
-0.1
361
Tumor
-0.1
277
Tumor
-0.1
716
Normal
-0.1
672
Normal
-0.1
297
Tumor
-0.1
943
Tumor
-0.1
388
Normal
-0.1
452
Normal
-0.1
341
Tumor
-0.1
126
Normal
-0.1
491
Tumor
-0.1
435
Tumor
-0.1
365
Tumor
-0.1
123
Tumor
-0.1
478
Normal
-0.1
1015
Tumor
-0.1
344
Normal
-0.1
386
Normal
-0.1
686
Normal
-0.1
192
Normal
-0.1
268
Normal
-0.1
328
Normal
-0.1
958
Normal
-0.1
938
Normal
-0.1
663
Tumor
-0.1
1022
Normal
-0.1
666
Normal
-0.1
884
Normal
-0.1
278
Normal
-0.1
921
Tumor
-0.1
375
Tumor
-0.1
456
Normal
-0.1
141
Tumor
-0.1
357
Tumor
-0.1
127
Tumor
-0.2
445
Tumor
-0.2
1045
Tumor
-0.2
477
Tumor
-0.2
616
Normal
-0.2
914
Normal
-0.2
1013
Tumor
-0.2
647
Tumor
-0.2
862
Normal
-0.2
924
Normal
-0.2
665
Tumor
-0.2
354
Normal
-0.2
366
Normal
-0.2
861
Tumor
-0.2
368
Normal
-0.2
877
Tumor
-0.2
343
Tumor
-0.2
125
Tumor
-0.2
695
Tumor
-0.2
391
Tumor
-0.2
915
Tumor
-0.2
615
Tumor
-0.3
977
Tumor
-0.3
1041
Tumor
-0.3
911
Tumor
-0.3
641
Tumor
-0.3
868
Normal
-0.3
465
Tumor
-0.3
313
Tumor
-0.3
383
Tumor
-0.3
627
Tumor
-0.4
311
Tumor
-0.4
741
Tumor
-0.5
635
Tumor
-0.7
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.