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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.
RPS19 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.
: 2.67
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.081
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.
29%
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.
33%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2754.0
Number of samples
349
Samples
Sample
Description
TPM
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
14784.2
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
8675.3
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
7433.6
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
6776.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
6679.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
6531.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
6472.1
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
6280.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
6244.1
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
6150.2
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
6069.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
6024.2
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
6015.3
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
5954.7
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
5918.1
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
5820.4
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5737.8
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
5701.5
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
5587.1
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5562.8
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
5542.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
5421.2
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5419.3
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
5150.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
5142.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5126.5
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5115.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
4890.3
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4889.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
4887.7
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
4870.0
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4861.8
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
4808.1
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4790.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
4765.6
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4719.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
4596.5
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4569.4
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4567.2
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4560.6
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4560.5
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
4410.8
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4344.1
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
4344.0
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4326.6
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4301.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
4293.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4139.6
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
4093.5
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4084.8
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4062.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
4009.5
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3992.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3973.5
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3967.7
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
3901.1
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3879.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3878.3
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3850.5
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
3842.5
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3830.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3820.6
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3816.9
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3784.7
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3773.9
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3766.7
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
3762.4
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3696.5
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3668.3
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3665.3
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3649.2
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3643.1
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3636.1
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3632.3
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3622.0
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3594.1
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3575.4
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3567.6
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
3561.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3541.0
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
3513.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3494.0
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3492.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3486.0
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3482.5
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3448.9
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3435.9
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3427.2
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3420.0
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
3400.8
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3394.2
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3371.7
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
3363.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3351.2
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3343.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3324.9
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3319.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3315.6
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3301.1
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3292.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3286.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3276.6
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
3244.1
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
3240.8
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3239.5
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3224.9
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3208.6
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3205.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3195.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3186.1
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3167.2
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3090.5
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3084.0
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3078.5
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3073.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3069.6
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3047.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3041.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3033.6
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3006.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3005.4
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2979.8
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2967.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2963.2
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2958.1
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2945.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2939.7
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2887.0
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2887.0
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2873.0
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2871.2
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2868.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2851.3
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2847.9
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2824.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2801.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2788.4
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2765.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
2762.0
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2743.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2742.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2739.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2722.8
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2720.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2711.7
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2702.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2682.5
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2660.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2654.1
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2648.8
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
2638.8
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2629.5
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2607.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2590.9
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
2582.7
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2579.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2556.5
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2553.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2546.4
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2526.9
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2522.5
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2504.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2504.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
2492.0
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2491.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2483.3
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2453.3
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2447.1
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2425.7
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2424.2
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2416.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2413.8
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2389.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2380.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2373.9
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2369.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2357.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2335.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2329.0
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2316.5
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2310.6
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2305.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2300.1
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2271.0
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2265.3
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2263.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2259.6
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2244.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2243.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2241.8
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2233.3
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2232.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2231.6
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2225.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2187.1
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2183.1
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2180.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2173.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2169.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2165.1
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2163.5
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2159.5
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2157.0
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2156.6
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2155.6
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2151.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2147.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2145.5
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2136.6
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2131.6
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2126.1
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2120.8
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2112.0
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2103.6
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2103.1
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2102.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2099.8
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2075.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2075.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2070.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2054.6
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2046.1
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2020.9
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2019.7
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2019.2
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2012.9
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2007.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2002.1
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
1992.6
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1985.3
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1972.3
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
1968.4
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1951.8
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1946.6
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1942.2
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1915.2
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1913.9
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1904.2
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1903.6
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1902.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1893.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1884.7
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1872.6
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1864.4
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1856.6
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
1855.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1855.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1846.1
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
1833.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1830.5
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1825.5
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1815.3
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1805.9
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
1803.3
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1793.5
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1793.1
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1774.5
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1767.2
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1761.3
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1748.5
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1745.0
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1736.6
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1731.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1730.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1729.6
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1728.3
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1707.1
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
1693.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1672.1
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1659.4
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1658.2
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1643.6
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1640.7
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1621.8
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
1606.8
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1592.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1583.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1583.1
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1581.1
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1572.0
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1571.2
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1561.0
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1559.5
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1548.4
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1539.5
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
1528.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1524.1
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1521.5
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1510.0
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1501.5
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1500.8
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1499.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1486.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1464.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1463.7
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1459.4
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1456.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1454.2
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1442.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1438.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1412.5
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1410.4
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1408.4
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1407.6
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1403.3
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1400.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
1394.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1384.1
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1383.4
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1378.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1371.7
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1356.9
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1356.2
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1334.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1326.9
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1325.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1313.0
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1290.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1270.3
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1269.7
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1246.1
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1223.3
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1196.0
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1178.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1175.8
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1169.9
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
1165.0
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1163.4
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1157.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1127.1
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1126.9
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1103.1
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1097.1
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1067.8
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
985.4
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
971.2
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
959.6
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
946.1
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
920.0
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
905.4
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
885.5
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
870.8
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
863.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
786.9
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
770.2
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
753.1
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
727.3
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
715.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS19 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.2
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.068
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.
7%
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.
29%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
3791.4
Number of samples
81
Samples
Sample
Description
TPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
27964.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
12371.4
DO46366
65 years, female, NA, stage:III, dead, 2054 days
11851.5
DO46576
75 years, female, NA, stage:III, alive, 133 days
9511.0
DO46331
72 years, female, NA, stage:III, dead, 612 days
9401.3
DO46611
52 years, female, NA, stage:III, dead, 734 days
8715.5
DO46384
55 years, female, NA, stage:III, dead, 614 days
8419.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
7543.3
DO46390
65 years, female, NA, stage:III, dead, 374 days
7173.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
6955.8
DO46591
58 years, female, NA, stage:III, dead, 195 days
6914.9
DO46538
57 years, female, NA, stage:III, dead, 1527 days
6453.8
DO46396
64 years, female, NA, stage:III, dead, 583 days
6154.8
DO46342
67 years, female, NA, stage:III, dead, 1398 days
6103.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
5450.9
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4921.5
DO46493
62 years, female, NA, stage:IV, alive, 839 days
4818.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
4658.4
DO46568
66 years, female, NA, stage:III, dead, 320 days
4435.2
DO46380
51 years, female, NA, stage:III, dead, 1423 days
4379.3
DO46326
51 years, female, NA, stage:III, dead, 701 days
4090.7
DO46376
58 years, female, NA, stage:III, dead, 1430 days
4074.3
DO46402
77 years, female, NA, stage:III, dead, 511 days
4028.6
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
4009.6
DO46392
48 years, female, NA, stage:III, dead, 628 days
3483.0
DO46378
59 years, female, NA, stage:III, alive, 843 days
3365.5
DO46436
58 years, female, NA, stage:III, alive, 3193 days
3294.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
3249.4
DO46372
39 years, female, NA, stage:III, dead, 1326 days
3167.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
3142.1
DO46408
56 years, female, NA, stage:III, dead, 489 days
3085.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
3065.7
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3016.6
DO46386
49 years, female, NA, stage:III, dead, 1162 days
3009.9
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2917.8
DO46581
66 years, female, NA, stage:III, dead, 408 days
2898.8
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2874.1
DO46561
52 years, female, NA, stage:III, dead, 195 days
2835.4
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2827.6
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2801.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
2688.4
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2684.7
DO46448
45 years, female, NA, stage:III, dead, 654 days
2634.7
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2614.8
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2436.4
DO46334
77 years, female, NA, stage:III, dead, 496 days
2432.9
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
2419.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
2377.1
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2365.6
DO46328
52 years, female, NA, stage:III, dead, 972 days
2353.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
2352.0
DO46388
74 years, female, NA, stage:III, dead, 413 days
2305.8
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2265.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
2203.0
DO46566
78 years, female, NA, stage:III, dead, 673 days
2099.4
DO46398
66 years, female, NA, stage:III, alive, 437 days
2068.9
DO46412
64 years, female, NA, stage:III, dead, 597 days
2065.8
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2037.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1978.7
DO46443
59 years, female, NA, stage:III, dead, 2464 days
1924.2
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1870.6
DO46364
45 years, female, NA, stage:III, dead, 806 days
1863.6
DO46358
60 years, female, NA, stage:III, dead, 423 days
1823.8
DO46350
66 years, female, NA, stage:III, dead, 886 days
1817.2
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1791.3
DO46588
74 years, female, NA, stage:III, dead, 438 days
1717.6
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1714.9
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1695.2
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1682.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
1674.2
DO46332
56 years, female, NA, stage:III, dead, 689 days
1630.9
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1481.0
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1438.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1373.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1313.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
1286.4
DO46571
61 years, female, NA, stage:III, dead, 243 days
1201.4
DO46344
46 years, female, NA, stage:III, dead, 642 days
1088.8
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1050.0
DO46327
54 years, female, NA, stage:III, dead, 184 days
1016.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
832.0
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.6
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.4
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.3
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.3
15524912-685a-47ce-a824-567848_D2
Tumor
0.3
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.3
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.0
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.0
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.0
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.0
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.1
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.1
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.2
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.2
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.2
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.3
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.3
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.4
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.4
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.5
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.5
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.5
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.5
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.5
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.5
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.5
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.5
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.6
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.6
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.6
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.6
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.6
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.6
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.7
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.7
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.7
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.7
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.7
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.7
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.7
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.7
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.8
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.8
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.8
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.8
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.8
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.8
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.8
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.8
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.8
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.8
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.9
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.9
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.9
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.9
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.9
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.9
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.9
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.9
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-1.0
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-1.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-1.0
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-1.0
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-1.0
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-1.0
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-1.0
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-1.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-1.1
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-1.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.3
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-1.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.3
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-1.3
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-1.4
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-1.5
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.5
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-1.6
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.7
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-1.8
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-2.3
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.