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.
RPS9 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
760.6
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
3827.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3436.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3120.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3055.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3023.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2888.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2769.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2572.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2560.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2381.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2367.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2357.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2345.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2345.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2321.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2273.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2166.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2151.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2122.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2002.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1928.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1896.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1882.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1766.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1745.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1608.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1595.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1594.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1594.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1561.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1542.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1528.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1483.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1458.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1458.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1452.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1445.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1391.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1387.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1369.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1368.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1325.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1317.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1313.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1278.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1275.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1271.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1268.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1265.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1253.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1253.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1243.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1225.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1220.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1197.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1193.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1175.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1170.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1164.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1157.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1152.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1139.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1136.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1133.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1128.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1125.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1109.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1100.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1085.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1084.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1079.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1076.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1074.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1063.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1046.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1042.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1034.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1034.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1016.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1009.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
997.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
990.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
978.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
977.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
974.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
969.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
952.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
937.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
936.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
915.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
909.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
909.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
907.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
905.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
902.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
892.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
890.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
888.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
881.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
876.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
870.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
869.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
866.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
862.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
861.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
853.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
849.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
848.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
845.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
841.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
839.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
832.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
822.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
821.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
809.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
808.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
804.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
802.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
795.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
792.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
788.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
776.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
776.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
776.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
775.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
774.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
773.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
770.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
769.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
763.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
761.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
759.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
752.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
751.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
749.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
747.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
744.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
734.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
730.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
730.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
727.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
727.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
727.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
724.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
721.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
714.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
710.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
709.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
705.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
705.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
703.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
702.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
700.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
697.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
696.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
695.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
693.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
683.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
680.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
679.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
677.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
668.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
667.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
665.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
657.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
655.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
654.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
651.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
644.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
641.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
639.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
633.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
633.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
633.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
629.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
627.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
625.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
622.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
613.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
611.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
610.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
608.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
603.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
601.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
599.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
598.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
597.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
596.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
595.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
589.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
587.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
585.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
585.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
584.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
583.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
581.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
577.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
576.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
574.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
572.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
568.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
562.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
557.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
557.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
554.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
554.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
554.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
550.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
549.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
548.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
541.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
540.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
538.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
536.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
529.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
529.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
529.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
528.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
526.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
526.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
517.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
511.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
505.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
504.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
504.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
504.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
500.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
497.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
492.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
490.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
490.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
487.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
485.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
484.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
484.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
480.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
479.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
471.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
471.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
465.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
461.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
457.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
455.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
455.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
443.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
442.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
437.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
433.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
429.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
423.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
419.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
417.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
416.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
416.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
411.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
409.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
407.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
407.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
405.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
400.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
400.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
393.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
391.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
391.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
373.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
373.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
371.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
369.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
365.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
363.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
360.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
359.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
356.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
351.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
351.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
348.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
348.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
347.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
346.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
342.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
339.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
337.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
331.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
331.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
328.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
328.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
324.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
315.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
314.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
313.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
309.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
304.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
302.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
294.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
292.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
289.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
288.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
287.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
284.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
283.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
282.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
281.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
280.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
280.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
278.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
275.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
274.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
264.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
264.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
260.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
257.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
256.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
254.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
253.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
248.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
245.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
244.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
244.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
241.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
240.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
238.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
237.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
237.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
237.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
236.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
233.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
233.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
233.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
232.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
232.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
231.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
231.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
227.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
225.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
218.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
217.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
216.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
212.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
210.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
210.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
196.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
194.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
192.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
187.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
183.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
175.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
167.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
167.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
167.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
166.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
165.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
163.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
146.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
136.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
131.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
128.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
107.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
96.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
96.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
68.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 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.
RPS9 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 pTPM
1196.8
Number of samples
231
Samples
Sample
Description
pTPM
DO45289
78 years, female, NA, stage:3, alive, 360 days
3798.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
3584.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
3106.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
2908.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
2841.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2698.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
2507.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2464.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2433.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
2428.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
2398.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
2378.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
2364.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2243.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2223.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
2189.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
2168.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2122.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
2043.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
2041.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
2011.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
2000.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
1981.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
1968.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
1968.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
1950.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
1909.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
1900.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
1878.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
1877.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
1869.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
1819.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
1806.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1798.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1779.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1766.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1764.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
1762.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
1761.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
1729.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
1723.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1717.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1667.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1653.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1651.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
1646.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
1617.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
1617.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
1608.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
1589.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
1550.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
1539.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
1538.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
1518.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
1483.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
1477.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
1467.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
1464.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
1459.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
1453.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
1447.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
1445.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1412.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
1409.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
1389.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
1360.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
1359.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
1351.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
1341.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
1336.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
1332.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
1329.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
1326.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
1325.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
1312.1
DO50822
66 years, male, NA, stage:2, alive, 510 days
1301.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1289.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
1287.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1284.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
1279.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1259.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
1257.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1251.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
1247.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
1245.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
1220.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1206.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
1194.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
1193.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1176.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
1171.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1157.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
1156.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1144.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
1140.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1137.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
1132.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1129.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
1119.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1117.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
1105.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1104.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
1099.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1095.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
1093.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1090.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1078.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
1078.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
1077.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
1077.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1076.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1069.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1058.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1051.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1037.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1034.1
DO48759
73 years, male, NA, stage:3, alive, 720 days
1033.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
1032.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1029.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
1026.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
1024.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1019.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
1012.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
1007.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
1007.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
1006.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1005.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
995.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
993.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
991.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
991.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
990.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
957.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
957.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
948.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
947.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
944.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
937.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
937.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
936.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
928.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
926.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
925.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
921.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
919.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
916.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
914.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
904.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
904.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
903.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
900.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
897.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
892.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
887.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
885.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
880.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
861.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
855.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
850.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
843.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
840.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
837.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
830.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
830.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
821.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
820.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
804.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
802.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
801.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
800.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
798.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
795.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
795.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
792.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
784.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
784.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
779.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
773.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
766.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
765.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
765.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
763.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
763.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
762.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
748.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
743.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
738.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
736.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
728.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
718.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
685.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
683.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
681.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
678.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
672.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
668.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
666.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
657.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
653.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
652.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
647.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
625.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
624.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
624.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
622.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
621.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
615.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
614.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
614.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
602.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
598.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
595.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
585.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
575.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
575.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
572.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
567.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
560.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
544.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
529.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
527.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
496.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
491.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
488.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
483.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
477.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
473.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
464.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
458.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
445.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
403.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
537
Tumor
0.6
1021
Tumor
0.5
331
Tumor
0.5
367
Tumor
0.5
965
Tumor
0.5
113
Tumor
0.5
327
Tumor
0.4
131
Tumor
0.4
727
Tumor
0.4
393
Tumor
0.4
285
Tumor
0.4
387
Tumor
0.4
815
Tumor
0.4
851
Tumor
0.4
697
Tumor
0.4
983
Tumor
0.4
957
Tumor
0.4
353
Tumor
0.4
267
Tumor
0.3
1027
Tumor
0.3
535
Tumor
0.3
937
Tumor
0.3
636
Normal
0.3
523
Tumor
0.3
567
Tumor
0.3
385
Tumor
0.3
1025
Tumor
0.3
685
Tumor
0.3
545
Tumor
0.3
955
Tumor
0.3
332
Normal
0.3
223
Tumor
0.3
661
Tumor
0.3
944
Normal
0.3
413
Tumor
0.3
514
Normal
0.3
467
Tumor
0.3
967
Tumor
0.3
524
Normal
0.3
951
Tumor
0.3
136
Normal
0.2
1014
Normal
0.2
536
Normal
0.2
1031
Tumor
0.2
1032
Normal
0.2
922
Normal
0.2
448
Normal
0.2
517
Tumor
0.2
824
Normal
0.2
231
Tumor
0.2
923
Tumor
0.2
395
Tumor
0.2
497
Tumor
0.2
1044
Normal
0.2
526
Normal
0.2
724
Normal
0.2
628
Normal
0.2
481
Tumor
0.2
314
Normal
0.2
558
Normal
0.2
112
Tumor
0.2
978
Normal
0.2
728
Normal
0.2
191
Tumor
0.2
358
Normal
0.2
135
Tumor
0.2
221
Tumor
0.2
187
Tumor
0.2
926
Normal
0.2
1046
Normal
0.2
376
Normal
0.2
518
Normal
0.2
128
Normal
0.2
484
Normal
0.2
981
Tumor
0.2
938
Normal
0.2
212
Normal
0.2
431
Tumor
0.2
756
Normal
0.2
525
Tumor
0.2
488
Normal
0.2
777
Tumor
0.2
533
Tumor
0.2
443
Tumor
0.2
515
Tumor
0.2
214
Normal
0.2
617
Tumor
0.2
195
Tumor
0.2
111
Normal
0.2
218
Normal
0.2
852
Normal
0.2
1026
Normal
0.2
858
Normal
0.2
984
Normal
0.2
1022
Normal
0.2
528
Normal
0.2
114
Normal
0.2
918
Normal
0.2
723
Tumor
0.2
451
Tumor
0.2
172
Normal
0.2
527
Tumor
0.2
1043
Tumor
0.2
573
Tumor
0.2
222
Normal
0.2
427
Tumor
0.2
953
Tumor
0.2
743
Tumor
0.2
865
Tumor
0.2
1042
Normal
0.2
964
Normal
0.1
745
Tumor
0.1
351
Tumor
0.1
414
Normal
0.1
394
Normal
0.1
464
Normal
0.1
966
Normal
0.1
232
Normal
0.1
272
Normal
0.1
494
Normal
0.1
513
Tumor
0.1
362
Normal
0.1
866
Normal
0.1
912
Normal
0.1
568
Normal
0.1
228
Normal
0.1
421
Tumor
0.1
958
Normal
0.1
278
Normal
0.1
534
Normal
0.1
297
Tumor
0.1
356
Normal
0.1
616
Normal
0.1
186
Normal
0.1
147
Tumor
0.1
257
Tumor
0.1
492
Normal
0.1
196
Normal
0.1
466
Normal
0.1
258
Normal
0.1
462
Normal
0.1
298
Normal
0.1
447
Tumor
0.1
452
Normal
0.1
445
Tumor
0.1
618
Normal
0.1
564
Normal
0.1
916
Normal
0.1
857
Tumor
0.1
213
Tumor
0.1
864
Normal
0.1
392
Normal
0.1
124
Normal
0.1
696
Normal
0.1
368
Normal
0.1
422
Normal
0.1
471
Tumor
0.1
277
Tumor
0.1
818
Normal
0.1
737
Tumor
0.1
162
Normal
0.1
412
Normal
0.1
1015
Tumor
0.1
432
Normal
0.1
1016
Normal
0.1
284
Normal
0.1
572
Normal
0.1
262
Normal
0.1
571
Tumor
0.1
436
Normal
0.1
873
Tumor
0.1
132
Normal
0.1
554
Normal
0.1
493
Tumor
0.1
483
Tumor
0.1
342
Normal
0.1
352
Normal
0.1
171
Tumor
0.1
817
Tumor
0.1
778
Normal
0.1
271
Tumor
0.1
516
Normal
0.1
312
Normal
0.1
344
Normal
0.1
862
Normal
0.1
1028
Normal
0.1
361
Tumor
0.1
426
Normal
0.1
642
Normal
0.1
211
Tumor
0.1
982
Normal
0.1
686
Normal
0.1
882
Normal
0.1
698
Normal
0.1
738
Normal
0.1
142
Normal
0.1
396
Normal
0.1
913
Tumor
0.1
474
Normal
0.1
127
Tumor
0.1
217
Tumor
0.1
672
Normal
0.1
145
Tumor
0.1
375
Tumor
0.1
924
Normal
0.1
388
Normal
0.1
956
Normal
0.1
546
Normal
0.1
746
Normal
0.1
785
Tumor
0.1
671
Tumor
0.1
148
Normal
0.1
963
Tumor
0.1
473
Tumor
0.1
446
Normal
0.0
755
Tumor
0.0
952
Normal
0.0
286
Normal
0.0
434
Normal
0.0
313
Tumor
0.0
463
Tumor
0.0
268
Normal
0.0
915
Tumor
0.0
123
Tumor
0.0
715
Tumor
0.0
384
Normal
0.0
355
Tumor
0.0
648
Normal
0.0
125
Tumor
0.0
662
Normal
0.0
721
Tumor
0.0
472
Normal
0.0
428
Normal
0.0
925
Tumor
0.0
126
Normal
0.0
647
Tumor
0.0
917
Tumor
0.0
664
Normal
0.0
968
Normal
0.0
878
Normal
0.0
138
Normal
0.0
435
Tumor
0.0
868
Normal
0.0
742
Normal
0.0
468
Normal
0.0
423
Tumor
0.0
1041
Tumor
0.0
574
Normal
0.0
877
Tumor
0.0
823
Tumor
0.0
357
Tumor
0.0
538
Normal
0.0
615
Tumor
0.0
635
Tumor
0.0
365
Tumor
0.0
921
Tumor
0.0
861
Tumor
0.0
786
Normal
0.0
433
Tumor
0.0
975
Tumor
0.0
695
Tumor
0.0
943
Tumor
0.0
283
Tumor
0.0
482
Normal
0.0
386
Normal
0.0
328
Normal
0.0
461
Tumor
0.0
137
Tumor
0.0
411
Tumor
0.0
425
Tumor
0.0
884
Normal
0.0
713
Tumor
0.0
1013
Tumor
0.0
954
Normal
0.0
224
Normal
0.0
185
Tumor
0.0
424
Normal
0.0
478
Normal
0.0
491
Tumor
0.0
714
Normal
0.0
976
Normal
0.0
391
Tumor
0.0
261
Tumor
0.0
161
Tumor
0.0
415
Tumor
0.0
867
Tumor
0.0
366
Normal
0.0
227
Tumor
0.0
665
Tumor
0.0
465
Tumor
0.0
456
Normal
0.0
487
Tumor
0.0
311
Tumor
0.0
977
Tumor
0.0
363
Tumor
0.0
188
Normal
0.0
477
Tumor
0.0
881
Tumor
0.0
455
Tumor
0.0
722
Normal
0.0
354
Normal
0.0
716
Normal
0.0
663
Tumor
-0.1
146
Normal
-0.1
141
Tumor
-0.1
814
Normal
-0.1
364
Normal
-0.1
563
Tumor
-0.1
816
Normal
-0.1
553
Tumor
-0.1
341
Tumor
-0.1
343
Tumor
-0.1
666
Normal
-0.1
813
Tumor
-0.1
641
Tumor
-0.1
914
Normal
-0.1
416
Normal
-0.1
874
Normal
-0.1
383
Tumor
-0.1
883
Tumor
-0.1
498
Normal
-0.1
911
Tumor
-0.1
192
Normal
-0.2
863
Tumor
-0.2
744
Normal
-0.2
1045
Tumor
-0.2
444
Normal
-0.2
627
Tumor
-0.2
741
Tumor
-0.3
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
