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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.
MIF 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
2914.8
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
15937.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
12358.2
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
9869.8
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
8246.7
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
7838.0
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
7633.1
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
7237.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
7156.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
7069.4
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
7011.5
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
6963.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
6681.7
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
6567.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
6549.9
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
6304.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
6115.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
6011.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5911.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
5812.1
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5750.8
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
5702.2
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
5635.1
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
5597.4
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
5502.3
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
5398.7
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
5385.7
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5383.2
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5374.5
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5271.2
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
5116.8
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5115.1
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5107.7
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
5079.6
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
5039.5
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5026.8
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
4955.3
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
4942.6
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4837.7
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
4814.7
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
4756.5
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
4750.5
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
4720.3
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
4669.2
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4641.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
4588.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
4586.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
4561.9
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
4498.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
4443.0
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4368.1
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
4291.1
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
4263.4
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
4242.0
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
4211.2
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4203.0
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
4199.3
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4185.7
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4182.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
4164.2
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
4149.5
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
4118.2
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
4088.5
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
4013.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3921.9
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
3885.7
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3868.3
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
3858.0
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3842.4
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3830.4
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3829.8
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3827.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
3823.0
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3808.2
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3778.9
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
3766.5
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
3764.6
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
3762.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3742.7
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3735.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3721.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3678.8
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3660.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
3634.2
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3610.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3602.1
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3597.9
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3590.7
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3514.4
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3514.1
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3511.2
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3501.2
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3488.8
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3472.9
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3461.8
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3443.7
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3439.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3437.7
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3418.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3397.6
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3389.5
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3386.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3380.7
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3368.8
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3324.6
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
3317.2
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3303.7
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3288.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3250.3
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
3224.8
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
3203.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
3164.4
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3157.1
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3130.9
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3126.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3110.9
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3107.2
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3090.4
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
3086.0
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
3078.0
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3072.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3064.3
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3044.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3040.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3029.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3028.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3007.9
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2996.3
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2993.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2986.9
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2969.1
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2952.6
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2952.3
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2925.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2912.6
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2908.0
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2904.5
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2878.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2874.1
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2867.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2866.8
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2805.9
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
2805.7
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2799.8
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
2794.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2777.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2774.6
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2773.9
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2773.2
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2752.3
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2745.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2744.6
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2731.9
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2722.9
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
2720.6
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2715.4
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
2711.0
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2699.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2695.5
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2690.2
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2682.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2676.6
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2654.7
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2652.6
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2613.8
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2571.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2554.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2547.6
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2546.0
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2544.9
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2539.2
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2503.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2502.0
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2500.8
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2494.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2493.2
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2483.4
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2464.5
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2455.4
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2448.3
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2447.9
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
2440.1
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2439.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
2438.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2432.9
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2422.7
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2403.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2400.9
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2388.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2362.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2351.7
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2349.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2344.8
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2319.9
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2293.9
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2289.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2275.3
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2258.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2256.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2239.6
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2238.6
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2235.0
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2233.4
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2231.1
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2230.3
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2229.5
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2225.6
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2220.7
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
2216.9
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2195.4
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2187.5
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2186.6
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2181.4
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2177.4
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2172.6
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2169.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2168.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
2145.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2138.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2137.4
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
2137.1
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
2136.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2132.1
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2122.4
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2122.3
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2115.2
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2114.5
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2114.5
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2090.8
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2083.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2048.9
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2043.3
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2041.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2032.8
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2000.4
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1998.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1998.1
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1980.1
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
1966.6
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1943.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1940.5
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
1936.6
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
1935.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1933.9
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1921.1
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1918.6
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
1906.5
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1902.3
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1878.8
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1877.7
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1874.8
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1869.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1858.5
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
1841.9
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1827.5
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1788.6
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1786.8
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1779.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1778.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1773.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
1766.9
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1762.3
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1759.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
1758.1
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1748.0
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1741.2
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1723.7
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1720.6
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
1701.3
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1691.2
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1690.4
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1685.4
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
1674.1
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1673.9
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1673.8
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1672.4
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1670.1
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1669.0
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1656.5
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
1653.2
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1639.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1630.7
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1629.1
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
1622.5
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1600.9
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1599.1
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1598.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
1590.7
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1583.7
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
1583.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1564.3
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1559.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1555.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
1550.0
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1542.7
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1542.0
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
1537.0
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1519.5
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
1510.2
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1510.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1505.4
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1491.2
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1485.5
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
1483.1
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1478.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1478.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1466.6
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
1464.7
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1456.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1452.9
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1448.7
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1441.1
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
1436.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
1425.6
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1421.8
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1421.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1410.0
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1406.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1360.6
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
1353.5
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1352.1
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
1330.6
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1287.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1280.3
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1276.9
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1276.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1264.9
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
1258.1
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1247.5
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1236.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1215.7
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
1204.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1203.8
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1183.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
1180.4
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1170.1
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1139.6
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1137.2
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
1124.1
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1120.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1050.3
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
1041.6
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1039.6
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1024.2
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1020.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
1011.2
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
998.7
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
942.7
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
918.4
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 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.
MIF 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
536.0
Number of samples
81
Samples
Sample
Description
pTPM
DO46611
52 years, female, NA, stage:III, dead, 734 days
2876.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
1311.5
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1205.7
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1128.3
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1019.8
DO46331
72 years, female, NA, stage:III, dead, 612 days
901.9
DO46333
58 years, female, NA, stage:III, dead, 359 days
875.7
DO46330
60 years, female, NA, stage:III, dead, 684 days
855.4
DO46453
66 years, female, NA, stage:III, dead, 3294 days
817.2
DO46356
68 years, female, NA, stage:III, dead, 911 days
778.0
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
775.3
DO46376
58 years, female, NA, stage:III, dead, 1430 days
723.6
DO46508
50 years, female, NA, stage:III, dead, 2101 days
705.4
DO46372
39 years, female, NA, stage:III, dead, 1326 days
695.0
DO46368
57 years, female, NA, stage:III, dead, 2879 days
658.4
DO46581
66 years, female, NA, stage:III, dead, 408 days
648.6
DO46327
54 years, female, NA, stage:III, dead, 184 days
648.0
DO46342
67 years, female, NA, stage:III, dead, 1398 days
642.0
DO46370
54 years, female, NA, stage:III, dead, 1727 days
634.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
615.1
DO46588
74 years, female, NA, stage:III, dead, 438 days
612.2
DO46354
73 years, female, NA, stage:III, dead, 843 days
601.0
DO46366
65 years, female, NA, stage:III, dead, 2054 days
599.9
DO46362
61 years, female, NA, stage:III, dead, 1639 days
599.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
593.7
DO46402
77 years, female, NA, stage:III, dead, 511 days
575.6
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
561.0
DO46576
75 years, female, NA, stage:III, alive, 133 days
556.0
DO46528
56 years, female, NA, stage:III, alive, 6139 days
552.6
DO46390
65 years, female, NA, stage:III, dead, 374 days
544.0
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
528.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
507.7
DO46382
62 years, female, NA, stage:IV, dead, 311 days
505.6
DO46533
46 years, female, NA, stage:III, alive, 3667 days
501.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
497.9
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
494.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
489.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
484.7
DO46493
62 years, female, NA, stage:IV, alive, 839 days
482.3
DO46546
73 years, female, NA, stage:III, dead, 1889 days
479.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
469.3
DO46443
59 years, female, NA, stage:III, dead, 2464 days
458.5
DO46561
52 years, female, NA, stage:III, dead, 195 days
458.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
456.9
DO46392
48 years, female, NA, stage:III, dead, 628 days
451.4
DO46344
46 years, female, NA, stage:III, dead, 642 days
444.9
DO46358
60 years, female, NA, stage:III, dead, 423 days
440.8
DO46463
49 years, female, NA, stage:III, dead, 2451 days
434.1
DO46568
66 years, female, NA, stage:III, dead, 320 days
432.0
DO46326
51 years, female, NA, stage:III, dead, 701 days
430.8
DO46350
66 years, female, NA, stage:III, dead, 886 days
404.2
DO46412
64 years, female, NA, stage:III, dead, 597 days
403.7
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
399.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
398.3
DO46560
45 years, female, NA, stage:IV, dead, 286 days
394.9
DO46606
73 years, female, NA, stage:III, alive, 804 days
386.0
DO46334
77 years, female, NA, stage:III, dead, 496 days
384.7
DO46518
62 years, female, NA, stage:III, alive, 2960 days
370.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
365.6
DO46378
59 years, female, NA, stage:III, alive, 843 days
360.7
DO46388
74 years, female, NA, stage:III, dead, 413 days
358.3
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
356.6
DO46325
54 years, female, NA, stage:III, dead, 477 days
348.4
DO46374
69 years, female, NA, stage:III, dead, 1409 days
345.6
DO46408
56 years, female, NA, stage:III, dead, 489 days
344.1
DO46586
55 years, female, NA, stage:III, dead, 1019 days
338.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
337.6
DO46571
61 years, female, NA, stage:III, dead, 243 days
324.3
DO46597
60 years, female, NA, stage:III, dead, 393 days
319.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
318.8
DO46352
60 years, female, NA, stage:III, dead, 677 days
306.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
293.1
DO46346
54 years, female, NA, stage:III, dead, 1187 days
278.9
DO46398
66 years, female, NA, stage:III, alive, 437 days
248.1
DO46432
56 years, female, NA, stage:III, alive, 2218 days
235.2
DO46340
62 years, female, NA, stage:III, dead, 616 days
229.3
DO46436
58 years, female, NA, stage:III, alive, 3193 days
208.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
198.8
DO46384
55 years, female, NA, stage:III, dead, 614 days
158.2
DO46396
64 years, female, NA, stage:III, dead, 583 days
135.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
114.0
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.6
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
1.5
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
1.4
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
1.3
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
1.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
1.2
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.2
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.1
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
1.0
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
1.0
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.9
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.9
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.9
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.9
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.8
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.8
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.8
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.8
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.7
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.7
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.7
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.7
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.7
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.6
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.6
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.6
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.6
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.6
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.6
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.6
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.6
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.6
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.6
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.5
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.5
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.5
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.5
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.5
15524912-685a-47ce-a824-567848_D2
Tumor
0.5
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.5
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.5
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.5
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.5
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.4
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.4
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.4
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.4
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.4
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.3
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.3
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.3
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.3
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.3
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.2
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.2
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.2
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.2
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.2
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.1
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.1
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.1
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.1
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.0
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.0
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.0
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.0
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.0
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.1
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.1
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.2
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.2
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.3
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.4
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.4
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.4
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.5
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.5
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.5
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-1.0
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
