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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.
RPS16 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
3561.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
26843.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
21122.0
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
16612.4
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
16021.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
14240.7
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
13313.3
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
12278.6
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
11915.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
11847.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
11191.9
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
11164.1
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
8739.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
8567.5
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
8397.9
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
7897.4
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
7703.5
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
7403.8
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
7281.5
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
6866.3
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
6847.4
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
6806.2
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
6804.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
6665.6
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
6438.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
6434.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
6428.5
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
6408.0
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
6353.0
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
6138.5
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
6098.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6069.3
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
6061.5
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
6060.2
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5956.5
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
5834.9
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
5769.0
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5745.1
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5700.5
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5689.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
5605.8
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
5493.1
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
5489.1
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
5482.6
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
5395.6
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
5392.6
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
5362.5
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5296.5
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5252.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
5234.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
5149.4
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
5089.1
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5067.8
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
5017.5
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5013.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
4978.9
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
4946.9
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
4938.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4917.3
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
4815.7
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4808.0
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4798.6
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
4725.1
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4699.1
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
4684.3
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
4591.3
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
4576.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
4575.3
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
4553.5
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4548.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
4542.1
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4513.7
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
4499.7
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
4475.5
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4433.9
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
4432.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
4428.0
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4409.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4397.1
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4396.1
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
4372.2
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
4356.4
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
4354.5
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4347.1
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
4294.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
4270.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4219.7
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4219.5
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
4213.6
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4187.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4118.2
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4114.4
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
4066.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
4053.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
4050.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4047.1
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4043.4
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
4033.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3992.9
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3981.9
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3966.2
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3960.4
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3936.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3929.3
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3898.2
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3878.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3862.1
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3861.5
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3818.8
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3808.6
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3806.6
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3801.9
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3784.8
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3752.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3739.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3705.2
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3696.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3691.5
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3688.2
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3684.6
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
3680.0
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3666.3
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3563.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3561.0
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3545.7
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
3522.2
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3509.6
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
3496.3
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3483.8
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3473.0
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3472.2
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
3469.9
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3458.4
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3449.9
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3447.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3429.0
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3423.6
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3411.9
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
3392.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3362.1
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3349.9
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
3335.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3326.9
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
3310.8
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
3277.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3274.2
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3273.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3268.7
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3246.7
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
3246.3
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3242.5
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3236.3
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3219.2
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3203.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3201.1
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3189.5
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3186.3
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
3135.1
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3118.3
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3072.5
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3071.9
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3068.9
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3054.1
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3046.4
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3044.3
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3042.4
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
3039.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3032.7
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3032.3
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
3016.7
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3014.0
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3008.4
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2977.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2970.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2966.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2952.2
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2940.1
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2924.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2923.1
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2913.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2907.8
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2874.4
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2874.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2871.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2861.3
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2838.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2829.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2824.9
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2820.9
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2793.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2789.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
2787.4
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2787.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2747.3
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2700.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2665.3
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2660.9
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2649.6
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2639.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2636.7
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2633.3
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2633.2
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2612.1
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2603.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2583.1
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2569.5
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2547.8
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2536.8
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2530.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2517.6
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2507.6
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
2494.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2475.3
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2469.4
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2464.2
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2462.0
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
2457.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2427.1
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2425.5
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2419.1
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2418.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2402.9
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2394.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2391.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2375.5
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2373.1
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2365.8
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2352.5
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2348.6
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2340.9
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2331.6
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2316.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2275.2
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2250.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2248.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2248.5
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2247.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2223.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2222.2
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2208.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2204.6
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2198.7
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2196.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2195.5
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2193.6
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2189.6
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2186.9
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2179.5
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2156.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2139.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2135.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2134.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2126.3
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2114.0
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2111.2
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2108.1
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2101.6
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2084.3
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2084.0
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2038.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2031.0
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2026.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2023.8
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2016.0
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2011.8
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2009.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2004.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
1992.1
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1990.2
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1988.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1986.0
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
1979.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
1976.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1973.1
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
1970.3
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1962.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
1959.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
1944.0
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1943.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1935.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1922.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1910.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
1899.2
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1895.5
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1887.0
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1886.6
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1878.2
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1874.8
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1848.2
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1842.2
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1829.4
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1827.8
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1824.5
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1823.5
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1822.9
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1813.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1807.5
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1789.9
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
1787.2
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1776.6
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1773.7
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1757.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1750.1
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
1738.4
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1715.2
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1713.4
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1705.2
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
1677.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1645.0
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1639.2
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1634.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1630.1
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1628.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1616.7
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1610.8
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1604.4
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1591.0
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1590.3
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1577.2
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1541.1
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1524.0
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1478.9
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1445.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1424.3
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1415.5
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1405.5
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1396.4
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1376.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1332.8
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1319.2
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1316.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1309.5
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1232.8
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1218.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1210.0
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1206.8
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1205.5
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1136.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1104.4
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1097.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1087.8
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1044.3
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
986.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
985.1
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
931.9
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
845.9
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
832.7
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
831.1
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
751.3
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 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.
RPS16 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
3464.3
Number of samples
81
Samples
Sample
Description
pTPM
DO46330
60 years, female, NA, stage:III, dead, 684 days
26808.1
DO46338
59 years, female, NA, stage:III, dead, 596 days
18950.8
DO46356
68 years, female, NA, stage:III, dead, 911 days
11175.0
DO46370
54 years, female, NA, stage:III, dead, 1727 days
8728.8
DO46364
45 years, female, NA, stage:III, dead, 806 days
7441.5
DO46538
57 years, female, NA, stage:III, dead, 1527 days
7363.2
DO46336
70 years, female, NA, stage:IV, dead, 664 days
7059.6
DO46358
60 years, female, NA, stage:III, dead, 423 days
6056.9
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5982.5
DO46384
55 years, female, NA, stage:III, dead, 614 days
5448.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
5338.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4857.9
DO46408
56 years, female, NA, stage:III, dead, 489 days
4702.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
4678.8
DO46390
65 years, female, NA, stage:III, dead, 374 days
4566.8
DO46333
58 years, female, NA, stage:III, dead, 359 days
4382.0
DO46606
73 years, female, NA, stage:III, alive, 804 days
4360.6
DO46581
66 years, female, NA, stage:III, dead, 408 days
4266.2
DO46354
73 years, female, NA, stage:III, dead, 843 days
3631.8
DO46568
66 years, female, NA, stage:III, dead, 320 days
3598.8
DO46576
75 years, female, NA, stage:III, alive, 133 days
3570.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3546.4
DO46350
66 years, female, NA, stage:III, dead, 886 days
3476.8
DO46468
67 years, female, NA, stage:III, alive, 2776 days
3428.4
DO46591
58 years, female, NA, stage:III, dead, 195 days
3390.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
3324.7
DO46331
72 years, female, NA, stage:III, dead, 612 days
3289.7
DO46611
52 years, female, NA, stage:III, dead, 734 days
3255.6
DO46453
66 years, female, NA, stage:III, dead, 3294 days
3139.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3074.0
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
2999.9
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2823.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2732.7
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2682.8
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2633.7
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2557.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
2526.6
DO46398
66 years, female, NA, stage:III, alive, 437 days
2514.0
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2484.8
DO46326
51 years, female, NA, stage:III, dead, 701 days
2415.4
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2337.5
DO46328
52 years, female, NA, stage:III, dead, 972 days
2332.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2313.5
DO46378
59 years, female, NA, stage:III, alive, 843 days
2288.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
2264.8
DO46352
60 years, female, NA, stage:III, dead, 677 days
2210.4
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2202.0
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2190.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
2173.1
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2160.3
DO46561
52 years, female, NA, stage:III, dead, 195 days
2145.1
DO46334
77 years, female, NA, stage:III, dead, 496 days
2099.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2050.8
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1957.9
DO46325
54 years, female, NA, stage:III, dead, 477 days
1907.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
1901.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
1799.2
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1762.9
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1731.3
DO46588
74 years, female, NA, stage:III, dead, 438 days
1726.3
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1723.9
DO46597
60 years, female, NA, stage:III, dead, 393 days
1700.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1698.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1666.5
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1659.6
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1651.8
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1560.9
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1554.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1547.0
DO46404
55 years, female, NA, stage:III, dead, 690 days
1517.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1487.6
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1456.5
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1388.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
1315.9
DO46388
74 years, female, NA, stage:III, dead, 413 days
1310.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1249.2
DO46571
61 years, female, NA, stage:III, dead, 243 days
1248.3
DO46344
46 years, female, NA, stage:III, dead, 642 days
1206.9
DO46412
64 years, female, NA, stage:III, dead, 597 days
1081.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
1021.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
748.6
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.7
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.4
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.4
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.4
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.3
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.3
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.3
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.2
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.2
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.2
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.2
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.2
15524912-685a-47ce-a824-567848_D2
Tumor
0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.1
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.1
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.1
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.1
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.1
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.1
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.1
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.1
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.0
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.0
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.0
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.0
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.0
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.0
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.0
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.1
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.2
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.2
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.3
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.3
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.4
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.4
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.4
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.4
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.4
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.4
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.4
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.4
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.4
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.4
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.5
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.5
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.5
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.5
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.5
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.5
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.5
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.6
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.6
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.6
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.6
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.7
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.7
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.7
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.7
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.7
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.8
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.8
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.8
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.9
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.9
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.9
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.9
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-1.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.0
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.0
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-1.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.2
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-1.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-1.3
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
