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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.
TUBB4B is not prognostic in Ovary Serous Cystadenocarcinoma (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
359.4
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1199.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
1114.7
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1047.7
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
928.7
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
918.6
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
910.3
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
888.8
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
870.5
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
856.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
852.7
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
844.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
844.3
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
844.0
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
827.9
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
816.1
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
797.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
791.8
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
791.7
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
791.2
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
742.1
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
720.8
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
714.5
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
693.0
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
691.8
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
684.6
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
674.8
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
671.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
664.8
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
647.0
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
643.9
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
641.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
640.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
626.6
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
626.2
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
623.7
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
620.6
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
617.7
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
615.3
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
615.3
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
613.6
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
612.2
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
608.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
604.4
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
601.8
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
592.4
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
588.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
578.8
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
566.9
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
564.8
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
560.6
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
559.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
549.4
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
547.0
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
545.2
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
539.9
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
532.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
530.6
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
517.1
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
516.1
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
515.8
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
514.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
514.1
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
507.9
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
500.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
496.9
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
493.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
492.4
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
489.9
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
489.5
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
486.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
485.3
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
483.4
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
481.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
480.2
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
478.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
474.3
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
473.2
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
472.5
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
470.1
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
469.5
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
469.2
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
463.2
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
461.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
460.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
457.5
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
456.3
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
456.2
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
455.3
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
453.2
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
447.7
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
446.5
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
446.3
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
440.6
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
438.9
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
437.9
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
436.5
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
434.4
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
432.8
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
431.5
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
426.4
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
425.4
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
424.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
424.0
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
422.5
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
420.5
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
416.5
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
414.9
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
414.7
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
410.0
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
407.7
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
407.2
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
406.7
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
402.8
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
402.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
400.5
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
399.7
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
399.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
398.6
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
397.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
392.3
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
390.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
389.8
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
389.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
388.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
387.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
385.2
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
383.3
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
380.6
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
380.4
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
379.2
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
377.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
375.1
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
370.4
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
369.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
369.4
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
367.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
366.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
364.6
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
363.4
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
358.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
358.6
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
357.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
352.3
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
351.5
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
349.1
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
344.1
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
341.4
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
341.0
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
339.3
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
339.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
338.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
338.7
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
338.0
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
336.5
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
335.6
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
335.5
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
334.6
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
332.5
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
331.6
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
330.9
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
330.4
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
330.2
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
328.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
328.3
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
328.1
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
327.3
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
326.2
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
326.1
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
323.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
322.2
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
321.9
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
321.7
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
320.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
319.9
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
319.4
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
318.9
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
317.7
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
316.2
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
315.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
311.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
310.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
309.7
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
309.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
309.0
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
307.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
307.1
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
306.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
304.1
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
301.4
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
298.8
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
298.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
298.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
297.8
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
297.3
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
296.6
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
295.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
293.2
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
293.0
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
292.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
292.2
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
290.8
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
289.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
283.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
278.5
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
276.2
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
274.7
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
272.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
270.9
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
266.2
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
265.4
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
265.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
264.0
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
263.6
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
261.1
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
259.0
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
258.7
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
257.9
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
257.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
251.5
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
251.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
250.4
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
249.9
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
249.5
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
248.8
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
247.2
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
246.8
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
246.8
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
246.3
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
245.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
244.9
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
242.9
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
241.5
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
240.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
239.7
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
239.4
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
238.5
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
237.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
235.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
235.5
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
235.2
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
234.7
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
232.0
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
231.4
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
230.6
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
230.4
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
227.6
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
226.3
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
224.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
224.2
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
221.7
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
221.7
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
221.4
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
220.2
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
218.6
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
218.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
217.1
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
214.5
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
213.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
212.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
211.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
209.4
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
209.2
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
208.8
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
208.5
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
208.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
206.1
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
205.9
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
205.6
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
204.2
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
204.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
203.9
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
202.9
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
202.8
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
201.4
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
200.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
199.9
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
199.8
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
199.7
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
199.3
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
199.3
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
199.0
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
197.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
197.0
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
196.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
195.7
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
194.4
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
194.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
193.9
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
193.6
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
193.3
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
192.5
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
191.9
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
191.8
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
189.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
188.2
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
187.1
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
185.9
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
184.5
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
182.6
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
182.2
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
180.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
180.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
179.8
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
176.5
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
174.8
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
172.4
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
170.5
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
169.4
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
169.3
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
168.4
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
167.9
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
167.4
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
165.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
165.7
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
165.3
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
165.1
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
164.1
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
163.1
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
161.1
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
158.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
156.3
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
155.1
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
154.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
151.5
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
151.3
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
151.1
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
150.1
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
149.9
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
149.2
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
148.5
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
146.6
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
142.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
139.7
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
139.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
139.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
138.1
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
137.4
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
132.1
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
128.7
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
121.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
119.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
119.0
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
111.5
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
106.6
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
96.6
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
94.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
91.5
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
86.1
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 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.
TUBB4B is not prognostic in Ovary Serous Cystadenocarcinoma (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
260.7
Number of samples
81
Samples
Sample
Description
pTPM
DO46370
54 years, female, NA, stage:III, dead, 1727 days
690.3
DO46533
46 years, female, NA, stage:III, alive, 3667 days
664.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
547.4
DO46408
56 years, female, NA, stage:III, dead, 489 days
533.6
DO46528
56 years, female, NA, stage:III, alive, 6139 days
532.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
488.7
DO46362
61 years, female, NA, stage:III, dead, 1639 days
475.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
444.2
DO46328
52 years, female, NA, stage:III, dead, 972 days
413.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
406.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
405.6
DO46606
73 years, female, NA, stage:III, alive, 804 days
400.7
DO46326
51 years, female, NA, stage:III, dead, 701 days
383.9
DO46581
66 years, female, NA, stage:III, dead, 408 days
373.5
DO46340
62 years, female, NA, stage:III, dead, 616 days
358.1
DO46538
57 years, female, NA, stage:III, dead, 1527 days
347.8
DO46333
58 years, female, NA, stage:III, dead, 359 days
347.1
DO46571
61 years, female, NA, stage:III, dead, 243 days
346.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
345.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
340.1
DO46443
59 years, female, NA, stage:III, dead, 2464 days
337.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
328.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
318.7
DO46468
67 years, female, NA, stage:III, alive, 2776 days
318.1
DO46576
75 years, female, NA, stage:III, alive, 133 days
314.3
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
312.3
DO46560
45 years, female, NA, stage:IV, dead, 286 days
309.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
308.1
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
297.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
290.2
DO46508
50 years, female, NA, stage:III, dead, 2101 days
287.4
DO46348
58 years, female, NA, stage:IV, dead, 287 days
286.3
DO46561
52 years, female, NA, stage:III, dead, 195 days
283.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
283.0
DO46346
54 years, female, NA, stage:III, dead, 1187 days
273.8
DO46372
39 years, female, NA, stage:III, dead, 1326 days
273.2
DO46376
58 years, female, NA, stage:III, dead, 1430 days
266.1
DO46364
45 years, female, NA, stage:III, dead, 806 days
258.7
DO46354
73 years, female, NA, stage:III, dead, 843 days
235.5
DO46392
48 years, female, NA, stage:III, dead, 628 days
235.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
234.1
DO46388
74 years, female, NA, stage:III, dead, 413 days
232.3
DO46329
52 years, female, NA, stage:III, dead, 1699 days
229.1
DO46332
56 years, female, NA, stage:III, dead, 689 days
219.2
DO46396
64 years, female, NA, stage:III, dead, 583 days
217.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
211.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
207.1
DO46344
46 years, female, NA, stage:III, dead, 642 days
206.2
DO46330
60 years, female, NA, stage:III, dead, 684 days
201.6
DO46338
59 years, female, NA, stage:III, dead, 596 days
199.8
DO46568
66 years, female, NA, stage:III, dead, 320 days
199.7
DO46378
59 years, female, NA, stage:III, alive, 843 days
199.5
DO46382
62 years, female, NA, stage:IV, dead, 311 days
195.9
DO46368
57 years, female, NA, stage:III, dead, 2879 days
183.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
182.1
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
181.1
DO46358
60 years, female, NA, stage:III, dead, 423 days
180.5
DO46334
77 years, female, NA, stage:III, dead, 496 days
178.5
DO46546
73 years, female, NA, stage:III, dead, 1889 days
178.5
DO46597
60 years, female, NA, stage:III, dead, 393 days
178.0
DO46551
58 years, female, NA, stage:III, dead, 1055 days
177.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
174.8
DO46386
49 years, female, NA, stage:III, dead, 1162 days
161.6
DO46352
60 years, female, NA, stage:III, dead, 677 days
158.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
153.4
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
150.7
DO46356
68 years, female, NA, stage:III, dead, 911 days
145.6
DO46331
72 years, female, NA, stage:III, dead, 612 days
126.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
113.1
DO46432
56 years, female, NA, stage:III, alive, 2218 days
107.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
100.8
DO46384
55 years, female, NA, stage:III, dead, 614 days
99.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
93.9
DO46611
52 years, female, NA, stage:III, dead, 734 days
92.3
DO46402
77 years, female, NA, stage:III, dead, 511 days
87.9
DO46350
66 years, female, NA, stage:III, dead, 886 days
87.6
DO46390
65 years, female, NA, stage:III, dead, 374 days
86.0
DO46591
58 years, female, NA, stage:III, dead, 195 days
85.4
DO46398
66 years, female, NA, stage:III, alive, 437 days
85.1
DO46374
69 years, female, NA, stage:III, dead, 1409 days
78.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
76.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.5
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.2
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.1
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.1
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.0
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.0
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.0
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.0
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.0
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.0
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.0
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.0
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.0
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.0
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.0
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.1
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.1
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.1
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.1
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.1
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.1
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.1
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.1
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.2
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.2
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.2
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.2
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.2
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.2
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.2
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.3
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.3
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.3
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.3
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.4
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.4
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.4
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.4
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.4
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.4
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.4
15524912-685a-47ce-a824-567848_D2
Tumor
-0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.4
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.4
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.4
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.4
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.4
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.5
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.5
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.5
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.5
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.5
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.5
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.5
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.5
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.5
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.5
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.5
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.5
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.6
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.6
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.6
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.6
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.6
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.7
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.7
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.7
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.7
Show allShow less
OVARIAN 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
