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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.
SSR4 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
385.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1375.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1331.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1251.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1192.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1126.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1126.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1082.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1017.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
996.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
995.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
979.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
962.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
929.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
922.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
912.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
855.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
832.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
807.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
805.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
805.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
793.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
761.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
750.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
729.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
728.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
727.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
720.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
720.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
713.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
711.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
702.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
691.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
691.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
688.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
685.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
685.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
678.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
672.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
660.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
657.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
643.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
641.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
638.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
635.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
628.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
620.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
620.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
611.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
611.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
609.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
608.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
597.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
596.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
594.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
591.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
591.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
590.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
581.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
578.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
575.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
574.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
573.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
571.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
566.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
560.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
558.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
554.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
551.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
545.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
539.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
531.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
527.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
526.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
518.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
515.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
512.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
511.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
510.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
508.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
507.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
499.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
499.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
495.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
487.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
486.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
484.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
481.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
477.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
476.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
475.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
473.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
471.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
468.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
468.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
465.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
465.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
462.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
461.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
459.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
456.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
454.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
447.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
445.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
444.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
441.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
441.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
439.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
434.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
434.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
430.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
425.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
425.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
424.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
422.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
417.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
416.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
412.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
412.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
411.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
410.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
410.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
408.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
408.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
405.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
404.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
400.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
400.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
399.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
399.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
397.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
393.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
393.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
392.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
391.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
391.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
390.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
389.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
388.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
384.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
383.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
382.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
379.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
377.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
377.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
377.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
376.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
374.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
371.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
370.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
370.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
370.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
368.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
367.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
365.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
364.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
364.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
364.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
359.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
359.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
357.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
356.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
355.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
352.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
351.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
350.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
350.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
349.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
346.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
345.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
343.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
336.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
335.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
335.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
335.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
333.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
331.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
331.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
331.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
330.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
330.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
325.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
324.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
319.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
319.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
318.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
318.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
318.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
317.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
316.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
315.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
314.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
312.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
310.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
308.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
307.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
306.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
306.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
305.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
305.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
304.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
301.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
301.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
301.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
300.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
299.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
297.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
297.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
296.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
294.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
294.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
293.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
292.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
292.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
291.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
291.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
289.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
288.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
286.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
285.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
279.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
277.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
276.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
274.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
273.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
273.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
273.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
272.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
272.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
271.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
271.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
271.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
270.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
270.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
269.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
269.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
268.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
267.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
267.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
267.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
265.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
265.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
265.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
264.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
263.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
263.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
263.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
263.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
260.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
259.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
257.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
257.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
257.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
257.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
257.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
257.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
256.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
254.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
254.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
253.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
252.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
251.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
251.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
250.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
249.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
247.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
247.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
247.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
244.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
243.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
241.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
239.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
238.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
236.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
233.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
232.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
231.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
231.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
231.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
231.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
230.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
230.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
230.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
229.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
229.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
229.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
228.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
228.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
227.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
224.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
223.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
222.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
217.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
217.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
217.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
214.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
213.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
211.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
211.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
211.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
207.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
205.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
204.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
202.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
199.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
198.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
197.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
196.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
196.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
195.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
195.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
194.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
194.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
194.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
191.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
189.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
185.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
184.5
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
183.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
182.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
180.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
180.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
177.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
175.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
174.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
174.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
172.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
168.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
168.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
168.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
167.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
165.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
163.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
160.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
159.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
159.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
158.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
157.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
156.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
156.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
155.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
155.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
153.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
148.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
147.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
147.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
143.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
141.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
138.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
135.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
130.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
126.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
123.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
122.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
116.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
115.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
112.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
112.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
110.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
106.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
105.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
102.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 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.
SSR4 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 TPM
220.4
Number of samples
231
Samples
Sample
Description
TPM
DO48747
62 years, male, NA, stage:3, alive, 540 days
1418.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
803.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
756.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
721.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
712.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
707.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
654.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
619.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
579.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
547.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
543.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
539.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
526.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
464.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
463.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
424.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
408.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
408.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
403.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
402.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
402.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
397.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
389.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
380.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
372.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
371.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
370.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
368.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
359.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
347.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
337.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
332.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
329.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
327.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
321.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
320.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
311.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
310.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
307.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
304.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
293.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
293.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
291.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
289.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
284.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
282.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
281.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
281.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
277.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
274.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
270.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
268.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
267.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
266.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
265.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
265.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
261.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
261.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
259.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
258.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
251.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
249.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
249.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
246.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
243.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
241.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
240.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
235.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
235.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
234.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
233.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
230.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
229.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
228.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
228.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
227.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
226.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
225.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
224.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
223.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
222.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
221.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
219.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
217.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
215.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
214.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
213.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
212.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
207.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
202.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
202.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
201.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
200.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
200.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
200.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
198.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
197.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
197.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
196.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
193.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
193.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
192.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
192.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
190.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
188.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
188.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
187.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
185.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
185.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
185.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
183.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
181.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
180.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
180.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
179.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
178.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
178.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
176.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
174.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
172.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
171.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
171.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
171.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
171.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
170.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
169.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
168.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
168.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
167.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
165.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
163.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
163.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
162.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
161.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
161.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
159.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
157.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
157.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
157.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
154.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
154.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
153.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
151.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
149.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
149.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
149.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
149.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
147.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
147.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
147.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
146.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
145.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
145.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
144.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
144.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
144.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
144.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
143.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
143.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
141.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
141.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
141.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
140.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
138.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
138.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
137.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
137.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
136.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
134.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
133.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
132.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
130.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
130.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
129.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
128.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
128.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
127.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
126.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
123.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
121.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
121.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
120.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
120.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
119.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
119.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
119.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
118.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
118.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
117.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
117.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
116.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
115.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
114.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
112.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
108.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
108.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
108.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
107.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
107.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
107.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
106.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
105.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
104.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
104.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
102.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
101.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
100.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
99.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
99.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
97.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
97.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
94.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
92.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
89.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
89.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
88.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
88.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
85.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
81.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
80.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
78.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
76.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
75.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
74.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
74.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
67.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
67.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
65.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
55.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
52.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
52.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
1025
Tumor
1.0
135
Tumor
0.8
571
Tumor
0.6
721
Tumor
0.6
497
Tumor
0.6
713
Tumor
0.6
1021
Tumor
0.6
467
Tumor
0.6
223
Tumor
0.5
983
Tumor
0.5
937
Tumor
0.5
823
Tumor
0.5
777
Tumor
0.5
545
Tumor
0.5
745
Tumor
0.5
557
Tumor
0.4
716
Normal
0.4
686
Normal
0.4
685
Tumor
0.4
743
Tumor
0.4
527
Tumor
0.4
113
Tumor
0.4
145
Tumor
0.4
314
Normal
0.4
523
Tumor
0.3
332
Normal
0.3
696
Normal
0.3
817
Tumor
0.3
443
Tumor
0.3
728
Normal
0.3
756
Normal
0.3
724
Normal
0.3
327
Tumor
0.3
515
Tumor
0.3
217
Tumor
0.3
923
Tumor
0.3
786
Normal
0.3
494
Normal
0.3
112
Tumor
0.3
331
Tumor
0.3
926
Normal
0.3
395
Tumor
0.3
785
Tumor
0.3
131
Tumor
0.3
221
Tumor
0.3
553
Tumor
0.3
171
Tumor
0.3
191
Tumor
0.3
912
Normal
0.3
955
Tumor
0.3
142
Normal
0.2
481
Tumor
0.2
312
Normal
0.2
277
Tumor
0.2
813
Tumor
0.2
1032
Normal
0.2
978
Normal
0.2
451
Tumor
0.2
1043
Tumor
0.2
285
Tumor
0.2
558
Normal
0.2
111
Normal
0.2
647
Tumor
0.2
851
Tumor
0.2
1026
Normal
0.2
636
Normal
0.2
452
Normal
0.2
723
Tumor
0.2
671
Tumor
0.2
343
Tumor
0.2
186
Normal
0.2
663
Tumor
0.2
925
Tumor
0.2
1042
Normal
0.2
462
Normal
0.2
665
Tumor
0.2
864
Normal
0.2
126
Normal
0.2
383
Tumor
0.2
524
Normal
0.2
857
Tumor
0.2
944
Normal
0.2
212
Normal
0.2
938
Normal
0.2
554
Normal
0.2
778
Normal
0.2
286
Normal
0.2
425
Tumor
0.2
128
Normal
0.2
572
Normal
0.2
514
Normal
0.2
951
Tumor
0.2
187
Tumor
0.2
617
Tumor
0.2
1014
Normal
0.2
824
Normal
0.2
697
Tumor
0.2
363
Tumor
0.2
466
Normal
0.2
865
Tumor
0.2
746
Normal
0.2
278
Normal
0.2
478
Normal
0.2
528
Normal
0.2
965
Tumor
0.2
1022
Normal
0.2
1046
Normal
0.2
958
Normal
0.1
714
Normal
0.1
921
Tumor
0.1
1015
Tumor
0.1
863
Tumor
0.1
353
Tumor
0.1
534
Normal
0.1
737
Tumor
0.1
1044
Normal
0.1
1041
Tumor
0.1
968
Normal
0.1
568
Normal
0.1
136
Normal
0.1
877
Tumor
0.1
284
Normal
0.1
924
Normal
0.1
526
Normal
0.1
536
Normal
0.1
546
Normal
0.1
448
Normal
0.1
114
Normal
0.1
868
Normal
0.1
472
Normal
0.1
1028
Normal
0.1
385
Tumor
0.1
535
Tumor
0.1
661
Tumor
0.1
517
Tumor
0.1
922
Normal
0.1
431
Tumor
0.1
484
Normal
0.1
852
Normal
0.1
195
Tumor
0.1
964
Normal
0.1
518
Normal
0.1
392
Normal
0.1
966
Normal
0.1
474
Normal
0.1
814
Normal
0.1
815
Tumor
0.1
172
Normal
0.1
918
Normal
0.1
488
Normal
0.1
954
Normal
0.1
464
Normal
0.1
436
Normal
0.1
715
Tumor
0.1
355
Tumor
0.1
367
Tumor
0.1
1027
Tumor
0.1
214
Normal
0.1
492
Normal
0.1
432
Normal
0.1
984
Normal
0.1
1031
Tumor
0.1
913
Tumor
0.1
358
Normal
0.1
421
Tumor
0.1
414
Normal
0.1
816
Normal
0.1
695
Tumor
0.1
884
Normal
0.1
1016
Normal
0.1
455
Tumor
0.1
664
Normal
0.1
482
Normal
0.1
858
Normal
0.1
213
Tumor
0.1
232
Normal
0.1
873
Tumor
0.1
218
Normal
0.1
141
Tumor
0.1
862
Normal
0.1
722
Normal
0.1
393
Tumor
0.1
188
Normal
0.1
461
Tumor
0.1
412
Normal
0.1
573
Tumor
0.1
356
Normal
0.1
564
Normal
0.0
916
Normal
0.0
648
Normal
0.0
222
Normal
0.0
952
Normal
0.0
977
Tumor
0.0
386
Normal
0.0
227
Tumor
0.0
376
Normal
0.0
956
Normal
0.0
387
Tumor
0.0
228
Normal
0.0
727
Tumor
0.0
262
Normal
0.0
127
Tumor
0.0
124
Normal
0.0
272
Normal
0.0
574
Normal
0.0
394
Normal
0.0
138
Normal
0.0
258
Normal
0.0
328
Normal
0.0
434
Normal
0.0
433
Tumor
0.0
447
Tumor
0.0
298
Normal
0.0
388
Normal
0.0
866
Normal
0.0
125
Tumor
0.0
148
Normal
0.0
666
Normal
0.0
738
Normal
0.0
742
Normal
0.0
426
Normal
0.0
567
Tumor
0.0
446
Normal
0.0
161
Tumor
0.0
628
Normal
0.0
468
Normal
0.0
473
Tumor
0.0
516
Normal
0.0
883
Tumor
0.0
162
Normal
0.0
224
Normal
0.0
635
Tumor
0.0
662
Normal
0.0
416
Normal
0.0
357
Tumor
0.0
982
Normal
0.0
147
Tumor
0.0
818
Normal
0.0
396
Normal
0.0
975
Tumor
0.0
498
Normal
0.0
137
Tumor
0.0
422
Normal
0.0
914
Normal
0.0
352
Normal
0.0
525
Tumor
0.0
698
Normal
0.0
146
Normal
0.0
483
Tumor
0.0
185
Tumor
0.0
874
Normal
0.0
368
Normal
0.0
981
Tumor
0.0
384
Normal
0.0
861
Tumor
-0.1
196
Normal
-0.1
444
Normal
-0.1
313
Tumor
-0.1
424
Normal
-0.1
882
Normal
-0.1
618
Normal
-0.1
563
Tumor
-0.1
465
Tumor
-0.1
211
Tumor
-0.1
364
Normal
-0.1
967
Tumor
-0.1
192
Normal
-0.1
642
Normal
-0.1
953
Tumor
-0.1
878
Normal
-0.1
413
Tumor
-0.1
271
Tumor
-0.1
672
Normal
-0.1
362
Normal
-0.1
963
Tumor
-0.1
943
Tumor
-0.1
755
Tumor
-0.1
976
Normal
-0.1
428
Normal
-0.1
456
Normal
-0.1
463
Tumor
-0.1
957
Tumor
-0.1
427
Tumor
-0.1
477
Tumor
-0.1
132
Normal
-0.1
487
Tumor
-0.1
231
Tumor
-0.1
366
Normal
-0.1
268
Normal
-0.1
351
Tumor
-0.1
616
Normal
-0.1
493
Tumor
-0.1
491
Tumor
-0.1
615
Tumor
-0.1
917
Tumor
-0.1
1045
Tumor
-0.1
537
Tumor
-0.1
445
Tumor
-0.1
341
Tumor
-0.1
471
Tumor
-0.1
354
Normal
-0.2
423
Tumor
-0.2
415
Tumor
-0.2
411
Tumor
-0.2
342
Normal
-0.2
538
Normal
-0.2
533
Tumor
-0.2
257
Tumor
-0.2
344
Normal
-0.2
261
Tumor
-0.2
267
Tumor
-0.2
915
Tumor
-0.2
513
Tumor
-0.2
881
Tumor
-0.2
123
Tumor
-0.2
283
Tumor
-0.2
365
Tumor
-0.3
391
Tumor
-0.3
361
Tumor
-0.3
297
Tumor
-0.3
641
Tumor
-0.3
627
Tumor
-0.3
375
Tumor
-0.3
744
Normal
-0.3
311
Tumor
-0.3
867
Tumor
-0.3
435
Tumor
-0.4
1013
Tumor
-0.5
911
Tumor
-0.6
741
Tumor
-0.6
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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
