We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
CRIP1 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
578.3
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2150.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2148.3
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2047.0
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
1965.5
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
1932.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1888.5
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
1870.2
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1861.6
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
1850.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1835.3
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
1774.8
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
1769.1
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1713.6
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
1676.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
1663.9
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
1657.0
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
1652.6
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
1640.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1630.4
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
1602.9
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
1585.6
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1576.6
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
1548.4
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1527.2
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1462.1
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
1417.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
1404.5
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
1398.6
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
1388.4
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
1372.3
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1345.3
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1333.1
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1300.5
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
1294.0
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1275.1
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1245.9
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
1226.5
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1223.6
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1213.5
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
1205.6
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1205.1
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1196.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1195.2
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
1192.1
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
1173.6
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1151.5
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1149.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
1137.2
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1125.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
1102.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
1071.0
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1067.6
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1035.1
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
1017.6
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
1013.4
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
985.6
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
960.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
937.3
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
934.6
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
933.0
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
928.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
905.8
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
887.5
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
873.4
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
858.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
855.1
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
848.9
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
843.1
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
841.9
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
841.5
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
828.7
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
807.8
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
805.2
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
800.4
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
793.2
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
790.0
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
789.5
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
788.9
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
787.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
785.4
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
778.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
767.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
766.0
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
758.7
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
754.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
749.8
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
739.6
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
729.6
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
725.8
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
722.9
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
721.7
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
718.8
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
714.9
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
711.2
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
709.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
708.1
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
706.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
701.9
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
694.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
690.2
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
687.5
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
670.0
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
667.0
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
663.9
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
662.7
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
660.1
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
650.1
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
649.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
647.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
647.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
645.7
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
640.4
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
638.7
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
632.2
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
626.2
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
624.9
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
606.2
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
605.2
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
604.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
601.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
598.8
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
597.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
596.1
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
592.8
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
592.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
589.7
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
589.4
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
582.2
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
580.1
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
578.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
577.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
576.4
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
572.1
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
570.0
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
569.3
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
567.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
565.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
565.0
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
560.5
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
557.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
556.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
556.0
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
554.8
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
554.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
553.1
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
552.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
552.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
550.1
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
550.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
548.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
544.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
542.4
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
542.0
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
542.0
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
540.9
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
540.6
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
539.9
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
533.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
532.8
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
521.1
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
520.2
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
516.9
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
513.7
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
513.2
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
505.4
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
502.4
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
501.5
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
493.2
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
492.7
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
492.1
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
486.3
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
483.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
483.0
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
482.3
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
480.4
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
477.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
475.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
467.1
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
467.0
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
459.9
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
457.3
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
454.3
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
452.5
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
452.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
451.2
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
451.0
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
446.0
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
444.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
444.0
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
443.4
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
440.8
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
439.9
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
439.8
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
438.2
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
436.9
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
431.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
430.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
430.2
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
429.4
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
425.3
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
423.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
419.1
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
418.7
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
415.4
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
410.7
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
409.9
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
408.7
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
400.0
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
391.2
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
390.9
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
388.7
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
382.5
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
378.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
376.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
373.4
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
371.8
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
370.8
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
370.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
369.7
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
366.3
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
362.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
360.4
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
358.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
357.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
354.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
353.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
350.5
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
350.0
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
349.6
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
349.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
338.9
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
335.9
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
335.0
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
327.8
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
326.5
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
323.2
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
321.4
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
318.8
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
315.9
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
314.6
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
311.1
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
310.1
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
310.0
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
306.9
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
303.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
299.2
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
296.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
295.8
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
295.5
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
291.2
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
285.3
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
284.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
282.3
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
278.1
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
277.3
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
275.8
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
274.9
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
272.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
269.6
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
261.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
261.7
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
253.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
251.3
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
251.1
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
250.4
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
249.2
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
248.4
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
246.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
245.7
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
243.3
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
224.3
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
222.3
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
219.5
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
217.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
216.0
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
212.3
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
210.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
210.4
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
209.5
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
205.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
203.0
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
202.8
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
197.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
193.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
184.8
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
184.1
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
182.5
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
180.7
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
179.6
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
176.0
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
166.7
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
165.2
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
161.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
159.3
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
158.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
153.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
142.6
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
138.2
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
137.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
133.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
128.9
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
127.9
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
126.4
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
125.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
125.3
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
120.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
119.2
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
113.7
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
105.1
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
104.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
100.3
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
93.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
89.2
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
80.8
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
77.2
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
76.5
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
75.8
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
75.5
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
74.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
74.8
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
67.2
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
65.9
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
62.7
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
61.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
54.9
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
54.8
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
52.5
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
50.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
41.4
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
38.6
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
36.9
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
33.2
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
31.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
29.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
26.0
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
23.4
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
22.3
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
20.7
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
17.9
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
15.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
13.6
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
12.5
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
11.9
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
11.4
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
11.3
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
11.2
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
11.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
10.7
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 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.
CRIP1 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
781.2
Number of samples
81
Samples
Sample
Description
pTPM
DO46350
66 years, female, NA, stage:III, dead, 886 days
2892.8
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2657.3
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2585.1
DO46576
75 years, female, NA, stage:III, alive, 133 days
2379.3
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1829.6
DO46331
72 years, female, NA, stage:III, dead, 612 days
1760.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1721.9
DO46533
46 years, female, NA, stage:III, alive, 3667 days
1526.2
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1480.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
1435.2
DO46364
45 years, female, NA, stage:III, dead, 806 days
1424.2
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1391.0
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1339.9
DO46354
73 years, female, NA, stage:III, dead, 843 days
1267.7
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1254.2
DO46356
68 years, female, NA, stage:III, dead, 911 days
1206.8
DO46384
55 years, female, NA, stage:III, dead, 614 days
1074.3
DO46392
48 years, female, NA, stage:III, dead, 628 days
1063.8
DO46571
61 years, female, NA, stage:III, dead, 243 days
1022.6
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1017.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
1008.4
DO46597
60 years, female, NA, stage:III, dead, 393 days
928.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
924.4
DO46390
65 years, female, NA, stage:III, dead, 374 days
893.3
DO46344
46 years, female, NA, stage:III, dead, 642 days
870.0
DO46538
57 years, female, NA, stage:III, dead, 1527 days
866.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
850.6
DO46400
70 years, female, NA, stage:III, dead, 719 days
810.7
DO46551
58 years, female, NA, stage:III, dead, 1055 days
802.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
793.8
DO46508
50 years, female, NA, stage:III, dead, 2101 days
779.6
DO46370
54 years, female, NA, stage:III, dead, 1727 days
765.6
DO46611
52 years, female, NA, stage:III, dead, 734 days
764.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
745.1
DO46468
67 years, female, NA, stage:III, alive, 2776 days
744.2
DO46330
60 years, female, NA, stage:III, dead, 684 days
743.2
DO46408
56 years, female, NA, stage:III, dead, 489 days
725.5
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
722.5
DO46340
62 years, female, NA, stage:III, dead, 616 days
674.1
DO46388
74 years, female, NA, stage:III, dead, 413 days
670.7
DO46332
56 years, female, NA, stage:III, dead, 689 days
644.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
643.3
DO46581
66 years, female, NA, stage:III, dead, 408 days
616.3
DO46326
51 years, female, NA, stage:III, dead, 701 days
611.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
599.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
573.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
570.9
DO46432
56 years, female, NA, stage:III, alive, 2218 days
568.4
DO46378
59 years, female, NA, stage:III, alive, 843 days
568.0
DO46346
54 years, female, NA, stage:III, dead, 1187 days
554.3
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
554.1
DO46448
45 years, female, NA, stage:III, dead, 654 days
550.7
DO46398
66 years, female, NA, stage:III, alive, 437 days
510.7
DO46327
54 years, female, NA, stage:III, dead, 184 days
507.8
DO46329
52 years, female, NA, stage:III, dead, 1699 days
477.1
DO46386
49 years, female, NA, stage:III, dead, 1162 days
468.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
449.3
DO46453
66 years, female, NA, stage:III, dead, 3294 days
434.2
DO46402
77 years, female, NA, stage:III, dead, 511 days
428.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
418.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
394.0
DO46352
60 years, female, NA, stage:III, dead, 677 days
384.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
383.4
DO46591
58 years, female, NA, stage:III, dead, 195 days
377.1
DO46338
59 years, female, NA, stage:III, dead, 596 days
344.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
282.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
244.3
DO46546
73 years, female, NA, stage:III, dead, 1889 days
230.7
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
207.8
DO46443
59 years, female, NA, stage:III, dead, 2464 days
203.3
DO46328
52 years, female, NA, stage:III, dead, 972 days
195.8
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
182.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
156.9
DO46518
62 years, female, NA, stage:III, alive, 2960 days
133.5
DO46336
70 years, female, NA, stage:IV, dead, 664 days
102.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
96.4
DO46588
74 years, female, NA, stage:III, dead, 438 days
56.7
DO46412
64 years, female, NA, stage:III, dead, 597 days
47.7
DO46404
55 years, female, NA, stage:III, dead, 690 days
38.6
DO46606
73 years, female, NA, stage:III, alive, 804 days
31.5
DO46602
74 years, female, NA, stage:III, dead, 205 days
28.2
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
161317f3-1a39-438e-af45-cd2502_D2
Tumor
2.8
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
2.5
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
2.4
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
2.2
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
2.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
2.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
2.0
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
1.8
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
1.7
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
1.7
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
1.6
e9d416e7-f661-400a-896e-388545_D2
Tumor
1.6
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
1.6
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
1.4
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
1.4
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
1.4
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.4
1a10c200-3895-4648-b951-94f99f_D2
Tumor
1.3
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
1.2
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
1.2
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
1.2
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
1.1
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
1.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
1.1
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
1.1
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
1.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
1.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.1
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
1.0
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
1.0
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
1.0
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
1.0
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
1.0
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
1.0
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.9
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.9
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.9
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.9
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.9
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.8
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.8
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.8
15524912-685a-47ce-a824-567848_D2
Tumor
0.8
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.8
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.7
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.7
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.7
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.7
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.7
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.7
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.7
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.6
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.6
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.6
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.6
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.6
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.5
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.5
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.5
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.4
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.4
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.4
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.4
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.4
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.4
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.4
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.4
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.3
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.3
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.3
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.1
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.1
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.1
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.0
21efd60f-6a31-4b98-9477-16a905_D2
Normal
0.0
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.0
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.0
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.0
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.0
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.1
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.1
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.2
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.3
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.3
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.4
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.4
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.5
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.5
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.7
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-1.0
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-1.0
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-1.1
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
