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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGFBP4 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
464.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
4431.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1281.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1265.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1256.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1171.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1136.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1018.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
989.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
985.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
982.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
976.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
969.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
961.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
943.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
928.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
928.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
895.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
866.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
866.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
858.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
857.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
855.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
853.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
852.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
852.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
840.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
833.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
819.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
807.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
770.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
755.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
755.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
751.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
744.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
744.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
734.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
731.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
726.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
725.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
721.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
720.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
715.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
712.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
710.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
704.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
702.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
700.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
692.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
689.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
686.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
686.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
683.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
683.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
681.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
679.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
676.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
674.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
674.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
673.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
672.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
666.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
665.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
660.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
655.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
655.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
649.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
648.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
645.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
643.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
637.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
636.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
627.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
626.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
623.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
623.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
621.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
621.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
620.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
613.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
612.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
612.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
611.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
607.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
607.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
605.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
601.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
599.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
594.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
588.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
578.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
577.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
576.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
575.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
574.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
568.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
566.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
565.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
564.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
563.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
557.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
553.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
548.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
546.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
546.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
544.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
543.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
541.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
541.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
540.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
538.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
537.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
536.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
534.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
533.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
533.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
532.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
531.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
528.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
527.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
525.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
525.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
524.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
521.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
521.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
518.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
518.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
517.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
516.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
515.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
514.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
514.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
513.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
511.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
509.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
508.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
507.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
505.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
503.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
501.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
500.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
499.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
499.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
496.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
495.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
492.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
486.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
486.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
485.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
485.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
484.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
484.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
484.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
484.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
481.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
479.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
475.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
475.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
474.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
471.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
469.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
467.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
464.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
459.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
458.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
453.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
452.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
445.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
443.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
441.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
439.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
432.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
432.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
431.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
430.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
428.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
427.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
426.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
425.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
424.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
422.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
421.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
421.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
419.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
418.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
418.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
418.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
416.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
415.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
409.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
408.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
405.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
403.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
402.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
400.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
400.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
400.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
399.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
399.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
397.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
397.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
397.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
391.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
390.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
390.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
389.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
388.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
387.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
387.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
386.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
385.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
385.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
382.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
382.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
382.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
377.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
374.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
373.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
372.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
372.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
370.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
369.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
368.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
367.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
366.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
365.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
365.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
364.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
363.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
363.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
361.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
360.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
360.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
359.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
358.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
355.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
353.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
351.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
349.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
346.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
345.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
344.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
342.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
342.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
340.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
340.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
338.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
336.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
328.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
326.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
322.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
322.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
322.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
321.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
319.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
316.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
313.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
312.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
311.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
311.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
310.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
309.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
308.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
304.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
303.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
302.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
301.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
301.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
301.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
300.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
300.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
299.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
299.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
292.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
289.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
286.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
286.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
285.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
284.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
282.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
280.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
278.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
275.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
270.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
268.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
267.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
267.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
266.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
265.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
264.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
261.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
258.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
254.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
253.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
250.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
250.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
243.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
241.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
241.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
240.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
239.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
239.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
237.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
237.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
231.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
229.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
227.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
225.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
223.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
222.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
221.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
219.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
219.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
215.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
213.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
213.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
208.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
208.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
207.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
207.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
206.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
205.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
203.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
202.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
197.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
196.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
191.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
190.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
185.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
185.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
183.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
179.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
161.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
161.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
160.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
158.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
157.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
155.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
154.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
150.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
148.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
148.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
141.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
141.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
138.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
133.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
127.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
123.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
121.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
120.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
119.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
113.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
106.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
104.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
97.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
97.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
96.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
85.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
83.9
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
83.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
79.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
40.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 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.
IGFBP4 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
490.7
Number of samples
231
Samples
Sample
Description
pTPM
DO23532
71 years, female, NA, stage:1, alive, 960 days
1845.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
1647.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1559.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1452.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
1447.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
1289.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
1178.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1147.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1133.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
1111.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
1032.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
1002.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
983.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
952.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
922.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
918.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
917.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
914.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
881.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
879.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
859.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
853.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
849.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
849.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
831.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
822.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
816.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
815.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
766.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
758.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
746.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
740.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
733.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
729.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
719.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
702.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
695.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
690.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
689.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
689.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
686.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
680.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
674.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
672.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
669.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
667.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
665.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
661.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
649.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
643.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
635.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
628.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
626.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
619.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
617.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
617.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
615.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
609.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
607.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
589.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
585.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
584.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
581.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
564.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
562.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
557.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
556.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
555.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
547.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
541.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
536.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
536.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
535.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
534.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
533.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
532.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
531.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
530.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
527.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
524.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
523.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
520.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
516.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
516.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
512.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
512.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
507.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
506.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
503.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
502.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
492.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
491.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
491.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
489.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
485.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
483.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
483.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
473.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
471.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
468.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
466.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
464.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
460.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
456.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
456.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
455.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
454.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
453.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
440.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
439.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
438.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
438.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
436.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
436.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
433.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
432.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
429.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
427.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
423.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
420.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
417.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
411.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
407.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
404.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
404.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
402.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
400.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
400.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
399.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
394.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
394.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
394.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
392.1
DO48693
71 years, male, NA, stage:2, alive, 900 days
391.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
390.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
382.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
381.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
381.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
380.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
379.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
378.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
376.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
376.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
374.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
369.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
369.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
365.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
365.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
364.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
364.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
361.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
361.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
360.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
360.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
359.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
358.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
355.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
355.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
351.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
349.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
348.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
347.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
346.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
342.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
342.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
340.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
335.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
335.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
335.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
334.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
330.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
328.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
328.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
322.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
320.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
319.0
DO23541
65 years, male, NA, stage:2, alive, 930 days
316.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
314.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
314.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
311.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
308.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
308.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
306.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
301.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
285.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
284.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
284.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
280.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
279.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
276.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
269.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
267.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
266.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
266.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
265.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
246.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
245.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
241.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
235.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
234.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
224.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
222.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
220.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
219.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
212.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
208.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
207.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
203.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
202.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
201.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
197.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
194.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
193.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
176.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
174.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
174.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
166.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
161.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
153.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
147.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
136.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
132.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
125.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
116.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
114.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
112.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
95.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
78.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
52.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
49.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
47.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
777
Tumor
1.8
425
Tumor
1.3
635
Tumor
1.3
343
Tumor
1.1
573
Tumor
1.0
533
Tumor
0.8
415
Tumor
0.8
981
Tumor
0.8
937
Tumor
0.7
471
Tumor
0.7
311
Tumor
0.7
925
Tumor
0.7
957
Tumor
0.7
663
Tumor
0.7
671
Tumor
0.7
877
Tumor
0.7
863
Tumor
0.7
952
Normal
0.7
125
Tumor
0.7
755
Tumor
0.7
1015
Tumor
0.6
192
Normal
0.6
627
Tumor
0.6
921
Tumor
0.6
477
Tumor
0.6
545
Tumor
0.6
615
Tumor
0.6
473
Tumor
0.6
951
Tumor
0.6
525
Tumor
0.6
364
Normal
0.6
756
Normal
0.5
465
Tumor
0.5
672
Normal
0.5
554
Normal
0.5
131
Tumor
0.5
1025
Tumor
0.5
365
Tumor
0.5
328
Normal
0.5
354
Normal
0.5
785
Tumor
0.5
778
Normal
0.5
277
Tumor
0.5
1027
Tumor
0.5
523
Tumor
0.5
746
Normal
0.5
786
Normal
0.5
393
Tumor
0.5
975
Tumor
0.5
557
Tumor
0.5
223
Tumor
0.5
857
Tumor
0.5
953
Tumor
0.5
353
Tumor
0.4
161
Tumor
0.4
642
Normal
0.4
452
Normal
0.4
187
Tumor
0.4
666
Normal
0.4
662
Normal
0.4
357
Tumor
0.4
553
Tumor
0.4
563
Tumor
0.4
356
Normal
0.4
567
Tumor
0.4
455
Tumor
0.4
461
Tumor
0.4
817
Tumor
0.4
636
Normal
0.3
342
Normal
0.3
517
Tumor
0.3
416
Normal
0.3
498
Normal
0.3
135
Tumor
0.3
558
Normal
0.3
823
Tumor
0.3
327
Tumor
0.3
218
Normal
0.3
297
Tumor
0.3
358
Normal
0.3
412
Normal
0.3
214
Normal
0.3
222
Normal
0.3
955
Tumor
0.3
648
Normal
0.3
271
Tumor
0.3
145
Tumor
0.3
538
Normal
0.3
421
Tumor
0.3
616
Normal
0.3
664
Normal
0.3
883
Tumor
0.3
497
Tumor
0.3
1021
Tumor
0.3
344
Normal
0.3
484
Normal
0.3
466
Normal
0.2
423
Tumor
0.2
341
Tumor
0.2
745
Tumor
0.2
618
Normal
0.2
196
Normal
0.2
513
Tumor
0.2
456
Normal
0.2
494
Normal
0.2
881
Tumor
0.2
697
Tumor
0.2
527
Tumor
0.2
628
Normal
0.2
112
Tumor
0.2
375
Tumor
0.2
515
Tumor
0.2
142
Normal
0.2
744
Normal
0.2
368
Normal
0.2
283
Tumor
0.2
963
Tumor
0.2
862
Normal
0.2
923
Tumor
0.2
355
Tumor
0.2
813
Tumor
0.2
647
Tumor
0.2
977
Tumor
0.2
352
Normal
0.1
141
Tumor
0.1
312
Normal
0.1
113
Tumor
0.1
224
Normal
0.1
392
Normal
0.1
915
Tumor
0.1
492
Normal
0.1
568
Normal
0.1
873
Tumor
0.1
111
Normal
0.1
268
Normal
0.1
956
Normal
0.1
874
Normal
0.1
917
Tumor
0.1
464
Normal
0.1
1028
Normal
0.1
968
Normal
0.1
267
Tumor
0.1
528
Normal
0.1
445
Tumor
0.1
491
Tumor
0.1
913
Tumor
0.1
487
Tumor
0.1
422
Normal
0.1
944
Normal
0.1
938
Normal
0.1
546
Normal
0.1
574
Normal
0.1
384
Normal
0.1
124
Normal
0.1
228
Normal
0.1
331
Tumor
0.1
723
Tumor
0.1
572
Normal
0.1
468
Normal
0.1
958
Normal
0.1
298
Normal
0.1
536
Normal
0.1
698
Normal
0.1
217
Tumor
0.1
137
Tumor
0.1
261
Tumor
0.1
191
Tumor
0.1
127
Tumor
0.1
195
Tumor
0.1
376
Normal
0.1
488
Normal
0.0
1041
Tumor
0.0
861
Tumor
0.0
564
Normal
0.0
814
Normal
0.0
463
Tumor
0.0
524
Normal
0.0
617
Tumor
0.0
114
Normal
0.0
388
Normal
0.0
918
Normal
0.0
386
Normal
0.0
922
Normal
0.0
867
Tumor
0.0
185
Tumor
0.0
943
Tumor
0.0
926
Normal
0.0
395
Tumor
0.0
518
Normal
0.0
396
Normal
0.0
695
Tumor
0.0
868
Normal
0.0
162
Normal
0.0
128
Normal
0.0
571
Tumor
0.0
284
Normal
0.0
864
Normal
0.0
924
Normal
0.0
435
Tumor
0.0
126
Normal
0.0
742
Normal
0.0
332
Normal
0.0
391
Tumor
0.0
878
Normal
0.0
954
Normal
0.0
362
Normal
0.0
665
Tumor
0.0
916
Normal
0.0
967
Tumor
0.0
713
Tumor
0.0
1045
Tumor
0.0
641
Tumor
0.0
1026
Normal
0.0
232
Normal
0.0
514
Normal
0.0
912
Normal
0.0
493
Tumor
0.0
427
Tumor
0.0
188
Normal
0.0
443
Tumor
0.0
474
Normal
0.0
1022
Normal
-0.1
1043
Tumor
-0.1
313
Tumor
-0.1
721
Tumor
-0.1
1042
Normal
-0.1
526
Normal
-0.1
914
Normal
-0.1
451
Tumor
-0.1
258
Normal
-0.1
433
Tumor
-0.1
444
Normal
-0.1
516
Normal
-0.1
272
Normal
-0.1
696
Normal
-0.1
286
Normal
-0.1
257
Tumor
-0.1
738
Normal
-0.1
728
Normal
-0.1
314
Normal
-0.1
132
Normal
-0.1
1016
Normal
-0.1
884
Normal
-0.1
147
Tumor
-0.1
483
Tumor
-0.1
136
Normal
-0.1
534
Normal
-0.1
394
Normal
-0.1
424
Normal
-0.1
278
Normal
-0.1
982
Normal
-0.1
467
Tumor
-0.1
227
Tumor
-0.1
138
Normal
-0.1
146
Normal
-0.1
213
Tumor
-0.1
537
Tumor
-0.1
743
Tumor
-0.1
852
Normal
-0.1
472
Normal
-0.1
148
Normal
-0.2
818
Normal
-0.2
221
Tumor
-0.2
411
Tumor
-0.2
385
Tumor
-0.2
866
Normal
-0.2
262
Normal
-0.2
212
Normal
-0.2
366
Normal
-0.2
858
Normal
-0.2
816
Normal
-0.2
172
Normal
-0.2
414
Normal
-0.2
481
Tumor
-0.2
387
Tumor
-0.2
448
Normal
-0.2
851
Tumor
-0.2
431
Tumor
-0.2
882
Normal
-0.2
446
Normal
-0.2
211
Tumor
-0.2
966
Normal
-0.2
361
Tumor
-0.2
1014
Normal
-0.2
686
Normal
-0.2
186
Normal
-0.2
482
Normal
-0.2
984
Normal
-0.2
383
Tumor
-0.2
428
Normal
-0.2
722
Normal
-0.2
976
Normal
-0.2
1031
Tumor
-0.3
1044
Normal
-0.3
1046
Normal
-0.3
716
Normal
-0.3
436
Normal
-0.3
535
Tumor
-0.3
351
Tumor
-0.3
964
Normal
-0.3
715
Tumor
-0.3
1032
Normal
-0.3
865
Tumor
-0.3
285
Tumor
-0.3
978
Normal
-0.3
413
Tumor
-0.3
714
Normal
-0.3
123
Tumor
-0.3
965
Tumor
-0.4
824
Normal
-0.4
426
Normal
-0.4
741
Tumor
-0.4
1013
Tumor
-0.4
434
Normal
-0.4
447
Tumor
-0.4
815
Tumor
-0.4
432
Normal
-0.4
685
Tumor
-0.4
231
Tumor
-0.4
737
Tumor
-0.5
727
Tumor
-0.5
363
Tumor
-0.5
462
Normal
-0.5
478
Normal
-0.5
661
Tumor
-0.5
911
Tumor
-0.6
983
Tumor
-0.6
171
Tumor
-0.7
724
Normal
-0.9
367
Tumor
-1.0
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
