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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.
TPT1 is potential prognostic, high expression is unfavorable 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.
: 2.67
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.00020
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.
23%
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.
42%
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
2981.0
Number of samples
349
Samples
Sample
Description
TPM
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
10187.6
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
9029.7
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
7830.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
7825.2
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
7674.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
7555.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
7343.3
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
7312.1
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
7046.7
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
6831.6
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
6716.1
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
6626.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
6505.1
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
6155.4
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
5985.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5982.3
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
5881.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
5879.5
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5785.7
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
5719.9
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
5704.3
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
5653.6
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
5625.9
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
5624.0
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5620.1
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
5592.7
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
5562.3
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
5489.5
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5408.9
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
5327.7
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5254.6
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
5201.8
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5177.3
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
5168.0
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
5159.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
5143.2
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5008.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
5007.6
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
4857.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
4846.1
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4836.5
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
4809.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
4793.9
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4746.6
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4734.8
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4729.8
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
4685.3
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4671.1
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
4649.2
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
4540.1
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4493.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
4481.1
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4478.8
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
4460.5
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
4412.6
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4406.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
4346.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
4324.2
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
4322.5
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
4315.3
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4285.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
4269.4
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
4239.1
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4218.6
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
4208.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
4189.5
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4185.4
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
4172.7
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
4083.6
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4058.7
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
4034.9
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
4007.1
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
4005.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4004.3
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3917.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3900.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3897.0
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3885.6
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
3885.5
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3877.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3867.0
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3843.0
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
3777.9
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3759.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3739.7
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
3732.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3723.7
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3698.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3642.8
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
3634.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3580.9
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3573.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3522.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3495.6
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3490.5
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3460.8
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3458.2
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3440.1
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
3433.7
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3429.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3382.2
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
3368.0
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3355.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
3335.0
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
3328.9
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3309.7
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3308.5
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3306.8
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3278.6
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3276.3
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3201.4
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3198.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3195.7
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3186.2
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3177.7
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3175.5
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
3144.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3142.1
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3137.5
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3106.2
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3088.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3062.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3059.9
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3058.3
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3053.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3051.5
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3049.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
3048.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
3017.1
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2999.6
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2997.6
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2989.3
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2979.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2978.2
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2969.4
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2962.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2960.9
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2955.8
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2951.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2942.6
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2940.7
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2902.0
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
2890.1
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2874.5
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2851.5
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
2845.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2838.5
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2821.2
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
2812.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2800.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2787.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
2779.0
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2776.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2770.6
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2765.9
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
2763.1
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2758.7
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2752.9
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2747.6
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2739.0
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2737.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2737.4
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2725.3
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2725.2
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2717.2
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2711.8
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2707.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2704.3
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2694.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2687.4
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2684.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2676.1
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2658.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
2654.1
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2645.5
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2619.2
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2596.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2584.9
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2573.7
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
2569.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2551.3
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2532.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2531.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2514.4
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2507.4
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2489.5
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2474.3
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2471.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2469.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2466.1
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2462.9
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2455.4
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2418.9
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2417.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2407.5
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2388.2
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2386.7
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2382.4
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2368.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2362.7
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2341.8
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2341.1
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2336.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2326.8
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2324.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2315.6
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2314.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2312.8
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2310.7
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2302.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2302.7
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2291.5
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2289.0
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2278.4
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2267.4
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2266.3
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2263.4
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2255.8
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2245.2
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2233.6
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2221.0
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2217.5
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2216.3
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2214.3
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2213.3
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2206.8
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2206.7
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2190.0
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2186.9
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2186.8
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2184.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2178.8
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2156.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2140.1
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2127.8
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2126.1
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2124.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2124.2
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2111.9
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2096.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2085.4
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
2081.0
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2059.8
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2058.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2052.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2042.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2034.7
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2015.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
2008.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2008.1
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2003.2
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
1992.7
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1974.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1973.6
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1954.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1942.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1937.0
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1935.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1927.4
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1908.6
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1903.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1899.2
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1883.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
1876.7
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1876.0
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1875.2
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
1873.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
1868.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1865.5
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1864.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1863.8
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1863.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1859.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
1848.2
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1824.4
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
1823.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1822.0
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1811.5
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1810.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1798.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
1797.8
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1793.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1788.2
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1764.9
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1746.7
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
1744.7
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1744.2
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1736.2
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1734.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1715.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1711.4
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1703.1
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1697.9
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1695.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
1692.3
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1678.1
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1673.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1671.2
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1667.5
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1667.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1644.0
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1636.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1635.7
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1620.2
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1610.4
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1605.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1592.1
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1560.2
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1536.8
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1532.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1510.2
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1506.0
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1485.6
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1461.1
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
1461.0
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1392.7
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1382.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1380.8
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
1380.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1370.8
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1346.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1344.5
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1342.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1342.1
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1333.2
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1322.8
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1321.1
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1310.6
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1307.4
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
1296.5
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1284.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1280.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1271.4
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1266.0
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1235.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1224.6
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1203.7
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1196.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1177.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1174.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1166.6
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1144.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1135.5
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1064.5
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1050.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1004.4
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
951.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
794.8
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 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.
TPT1 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.
: 2.2
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.19
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.
18%
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.
27%
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
4005.5
Number of samples
81
Samples
Sample
Description
TPM
DO46390
65 years, female, NA, stage:III, dead, 374 days
13987.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
9669.9
DO46568
66 years, female, NA, stage:III, dead, 320 days
7727.8
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
7012.0
DO46326
51 years, female, NA, stage:III, dead, 701 days
6799.8
DO46591
58 years, female, NA, stage:III, dead, 195 days
6798.1
DO46388
74 years, female, NA, stage:III, dead, 413 days
6371.1
DO46356
68 years, female, NA, stage:III, dead, 911 days
6368.2
DO46331
72 years, female, NA, stage:III, dead, 612 days
6340.5
DO46338
59 years, female, NA, stage:III, dead, 596 days
6036.3
DO46374
69 years, female, NA, stage:III, dead, 1409 days
5845.9
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5807.3
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
5697.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
5572.7
DO46376
58 years, female, NA, stage:III, dead, 1430 days
5541.6
DO46333
58 years, female, NA, stage:III, dead, 359 days
5387.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
5318.3
DO46508
50 years, female, NA, stage:III, dead, 2101 days
5260.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
5098.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
5070.9
DO46581
66 years, female, NA, stage:III, dead, 408 days
4780.2
DO46384
55 years, female, NA, stage:III, dead, 614 days
4755.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
4612.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
4535.4
DO46443
59 years, female, NA, stage:III, dead, 2464 days
4437.9
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4330.3
DO46396
64 years, female, NA, stage:III, dead, 583 days
4250.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
4224.6
DO46576
75 years, female, NA, stage:III, alive, 133 days
4205.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
4043.5
DO46346
54 years, female, NA, stage:III, dead, 1187 days
4010.5
DO46325
54 years, female, NA, stage:III, dead, 477 days
3994.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3948.5
DO46350
66 years, female, NA, stage:III, dead, 886 days
3923.8
DO46342
67 years, female, NA, stage:III, dead, 1398 days
3911.7
DO46386
49 years, female, NA, stage:III, dead, 1162 days
3869.1
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3812.0
DO46402
77 years, female, NA, stage:III, dead, 511 days
3780.9
DO46329
52 years, female, NA, stage:III, dead, 1699 days
3775.7
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3749.5
DO46560
45 years, female, NA, stage:IV, dead, 286 days
3746.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
3301.9
DO46597
60 years, female, NA, stage:III, dead, 393 days
3246.9
DO46412
64 years, female, NA, stage:III, dead, 597 days
3240.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3207.7
DO46566
78 years, female, NA, stage:III, dead, 673 days
3190.1
DO46358
60 years, female, NA, stage:III, dead, 423 days
3178.0
DO46571
61 years, female, NA, stage:III, dead, 243 days
3119.4
DO46611
52 years, female, NA, stage:III, dead, 734 days
3114.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
3082.6
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3000.5
DO46378
59 years, female, NA, stage:III, alive, 843 days
2933.0
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2911.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
2858.6
DO46354
73 years, female, NA, stage:III, dead, 843 days
2846.8
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2846.0
DO46330
60 years, female, NA, stage:III, dead, 684 days
2839.1
DO46334
77 years, female, NA, stage:III, dead, 496 days
2835.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2835.2
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
2826.5
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2826.5
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2776.5
DO46588
74 years, female, NA, stage:III, dead, 438 days
2593.1
DO46332
56 years, female, NA, stage:III, dead, 689 days
2559.2
DO46561
52 years, female, NA, stage:III, dead, 195 days
2553.7
DO46344
46 years, female, NA, stage:III, dead, 642 days
2521.8
DO46327
54 years, female, NA, stage:III, dead, 184 days
2443.0
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2436.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2315.3
DO46340
62 years, female, NA, stage:III, dead, 616 days
2266.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
2265.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2247.1
DO46408
56 years, female, NA, stage:III, dead, 489 days
2235.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2217.8
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2201.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2195.4
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2111.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
2062.7
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2007.1
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1935.7
DO46606
73 years, female, NA, stage:III, alive, 804 days
1859.6
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
1.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
1.3
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.9
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.9
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.8
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.8
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.7
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.7
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.7
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.6
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.6
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.6
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.6
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.5
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.5
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.5
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.5
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.5
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.5
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.5
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.5
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.5
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.4
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.4
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.4
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.4
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.4
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.4
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.4
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.3
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.3
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.3
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.3
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.2
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.2
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.2
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.1
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.1
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.1
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.1
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.1
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.0
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.0
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.0
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.0
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.1
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.2
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.2
15524912-685a-47ce-a824-567848_D2
Tumor
-0.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.2
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.3
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.3
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.3
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.4
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.4
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.4
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.4
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.4
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.5
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.5
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.5
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.5
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.5
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.6
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.6
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.7
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.9
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
