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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.
RPS6 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
3383.2
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
11080.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
8440.3
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
8366.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
7659.9
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
7631.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
7569.2
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
7543.4
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
7514.4
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
7331.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
7307.5
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
7241.3
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
7241.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
7190.3
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
7122.3
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
7002.4
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
6915.9
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
6875.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
6657.2
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
6620.6
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
6515.1
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6466.6
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
6295.8
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6287.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
6286.0
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
6144.5
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
6098.3
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
6080.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
5957.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5857.3
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
5839.8
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
5744.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
5714.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5702.8
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5666.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5661.3
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
5658.2
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5653.4
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
5620.0
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
5615.7
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
5551.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5548.4
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
5539.9
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
5481.8
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
5472.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
5468.0
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
5399.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
5352.3
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
5349.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
5340.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
5295.4
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
5278.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
5262.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5248.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
5243.0
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
5182.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
5177.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5167.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5150.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
5140.7
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
5133.7
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
5116.2
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
5071.2
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
5025.4
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
5008.7
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
4980.8
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
4965.7
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4961.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
4936.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4871.5
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
4848.0
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
4838.5
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4818.1
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
4776.4
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
4772.0
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4770.3
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
4722.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4676.7
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4672.1
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4646.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4539.9
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
4531.6
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4498.9
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4467.9
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
4342.7
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
4323.1
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
4313.7
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4305.0
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4290.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
4280.2
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
4252.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4233.5
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4211.4
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
4187.6
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
4164.9
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
4161.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
4155.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
4148.8
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
4144.4
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
4125.9
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
4117.3
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4070.9
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
4044.5
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
4040.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3994.8
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3952.7
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3944.0
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3888.2
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3860.6
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3858.1
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3858.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3855.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3846.1
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3824.6
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3743.5
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3733.4
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
3720.8
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3694.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3681.5
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3679.8
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3626.8
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3611.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3593.9
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3566.5
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3555.2
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3541.1
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
3487.9
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3475.7
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3473.2
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3470.1
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3432.9
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3419.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3410.2
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
3407.6
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3395.3
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3376.0
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3372.2
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3351.3
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3336.1
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3333.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
3301.7
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3288.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3281.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
3272.6
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3267.8
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3241.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3218.2
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3211.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3204.3
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3201.5
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3187.1
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
3186.6
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3177.9
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3174.4
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
3170.8
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3170.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3169.5
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3167.4
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3149.2
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3135.4
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3133.4
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3126.8
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3117.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3116.6
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
3106.5
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3093.4
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3082.0
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3075.9
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3070.0
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3047.4
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3045.5
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
3035.4
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3033.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3033.6
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
3027.2
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3015.0
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2987.1
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2969.0
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2967.8
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2922.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2911.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2910.5
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2901.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2896.5
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2887.8
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2877.4
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2868.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2867.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2858.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2843.0
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2822.8
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2815.4
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2813.7
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2813.7
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2810.1
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2806.7
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2799.4
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
2798.3
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2794.3
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2792.7
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2792.3
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2779.3
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2765.8
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2758.6
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2739.7
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
2735.6
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2726.7
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2720.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2714.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2706.1
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2703.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2701.8
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2699.4
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2656.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2643.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2623.6
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2596.9
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2573.0
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2571.3
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2569.2
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
2557.9
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2556.7
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
2524.0
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2522.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2520.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2509.1
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2498.1
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2490.2
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2489.0
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2486.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2463.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2457.0
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2445.5
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2429.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2419.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2417.9
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2367.0
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2357.5
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2354.2
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2329.1
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2328.8
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2326.5
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2297.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2293.8
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2293.0
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2291.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2284.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
2280.4
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2276.8
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2274.5
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2269.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2268.7
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2254.9
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2249.1
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2246.3
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2238.2
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2222.4
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
2204.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2185.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2183.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2182.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2181.0
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2176.6
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2106.5
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2069.4
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2049.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2030.5
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2030.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2020.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2006.7
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2001.9
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1995.9
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1987.9
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1973.9
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1971.1
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1962.2
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1939.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1938.4
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1923.4
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1914.2
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1911.9
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1904.5
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1902.3
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1887.1
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1878.7
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1852.0
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1847.7
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
1838.7
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1838.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1837.8
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1829.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1823.3
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1821.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1819.1
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1810.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1796.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1789.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1789.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1784.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1782.7
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1777.3
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1770.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1766.6
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1764.2
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1764.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1761.4
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1759.9
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1753.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1750.3
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
1739.7
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1731.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1728.1
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1723.2
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
1721.9
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1719.4
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1705.7
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1702.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1664.0
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
1663.8
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1656.3
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1650.9
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
1632.5
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1589.4
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1583.6
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1569.1
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1561.2
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1550.0
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1543.1
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1526.3
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1467.8
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1460.6
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1429.8
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1428.3
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1415.4
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1411.6
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1382.7
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1347.0
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1330.0
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1320.2
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1299.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1239.3
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1153.1
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1083.0
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1082.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1045.3
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1040.5
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1035.7
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
955.4
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
947.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 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.
RPS6 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
3680.2
Number of samples
81
Samples
Sample
Description
pTPM
DO46333
58 years, female, NA, stage:III, dead, 359 days
14149.8
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
11939.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
9422.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
7000.5
DO46493
62 years, female, NA, stage:IV, alive, 839 days
6689.0
DO46508
50 years, female, NA, stage:III, dead, 2101 days
6152.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
6135.2
DO46326
51 years, female, NA, stage:III, dead, 701 days
5984.6
DO46362
61 years, female, NA, stage:III, dead, 1639 days
5968.3
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
5856.9
DO46356
68 years, female, NA, stage:III, dead, 911 days
5828.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
5309.7
DO46576
75 years, female, NA, stage:III, alive, 133 days
5066.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
5058.4
DO46398
66 years, female, NA, stage:III, alive, 437 days
4822.8
DO46384
55 years, female, NA, stage:III, dead, 614 days
4822.4
DO46334
77 years, female, NA, stage:III, dead, 496 days
4783.9
DO46328
52 years, female, NA, stage:III, dead, 972 days
4775.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
4658.9
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4469.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
4442.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
4439.1
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4388.7
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4387.2
DO46408
56 years, female, NA, stage:III, dead, 489 days
4341.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
4262.8
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4210.9
DO46538
57 years, female, NA, stage:III, dead, 1527 days
4207.6
DO46463
49 years, female, NA, stage:III, dead, 2451 days
4179.0
DO46518
62 years, female, NA, stage:III, alive, 2960 days
4088.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
4031.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
3983.6
DO46551
58 years, female, NA, stage:III, dead, 1055 days
3825.8
DO46611
52 years, female, NA, stage:III, dead, 734 days
3761.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
3684.0
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3631.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
3359.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
3319.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
3271.8
DO46378
59 years, female, NA, stage:III, alive, 843 days
3240.0
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3230.2
DO46597
60 years, female, NA, stage:III, dead, 393 days
3188.1
DO46400
70 years, female, NA, stage:III, dead, 719 days
3129.8
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3068.7
DO46388
74 years, female, NA, stage:III, dead, 413 days
3050.7
DO46546
73 years, female, NA, stage:III, dead, 1889 days
3004.2
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2997.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
2961.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
2859.1
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2822.2
DO46354
73 years, female, NA, stage:III, dead, 843 days
2639.1
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2590.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
2569.3
DO46606
73 years, female, NA, stage:III, alive, 804 days
2560.8
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2523.7
DO46332
56 years, female, NA, stage:III, dead, 689 days
2426.3
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2350.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2300.3
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2295.7
DO46327
54 years, female, NA, stage:III, dead, 184 days
2267.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
2213.2
DO46561
52 years, female, NA, stage:III, dead, 195 days
2170.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
2161.9
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2124.4
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2124.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
2004.2
DO46325
54 years, female, NA, stage:III, dead, 477 days
1891.9
DO46344
46 years, female, NA, stage:III, dead, 642 days
1875.7
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1817.4
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1746.5
DO46571
61 years, female, NA, stage:III, dead, 243 days
1678.2
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1530.8
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1505.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1505.4
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1461.0
DO46340
62 years, female, NA, stage:III, dead, 616 days
1351.6
DO46588
74 years, female, NA, stage:III, dead, 438 days
1339.8
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1279.9
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1256.7
DO46350
66 years, female, NA, stage:III, dead, 886 days
1141.4
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1133.9
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.4
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
1.2
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
1.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
1.0
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
1.0
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
1.0
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
1.0
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
1.0
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.7
15524912-685a-47ce-a824-567848_D2
Tumor
0.7
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.6
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.6
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.6
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.6
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.5
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.5
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.5
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.4
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.4
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.4
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.4
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.4
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.4
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.4
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.4
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.4
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.3
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.3
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.2
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.2
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.2
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.2
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.2
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.2
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.2
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.1
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.1
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.1
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.1
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.0
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.0
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.0
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.0
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.1
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.1
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.2
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.2
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.2
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.3
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.3
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.3
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.3
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.4
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.4
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.5
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.5
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.5
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.5
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.6
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.6
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.6
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.7
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.7
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.8
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.8
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.8
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.8
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.8
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.8
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.9
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-1.0
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-1.0
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-1.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-1.2
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-1.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-1.3
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.3
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-1.3
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.5
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.5
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-1.7
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.7
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.8
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.9
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
