We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL35 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.
0.086
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.
27%
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.
35%
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
2772.5
Number of samples
349
Samples
Sample
Description
TPM
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
9197.0
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
8315.0
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
7983.3
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
7638.8
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
7567.9
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
6718.7
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
6698.2
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
6561.0
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
6449.6
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
6316.0
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
6207.5
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5775.6
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5581.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
5573.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
5329.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
5317.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
5309.3
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
5183.1
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
5156.6
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5141.8
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5103.7
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5029.3
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
5014.5
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4992.3
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4984.2
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
4905.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
4893.0
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
4832.1
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
4807.2
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4743.1
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4731.6
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
4723.5
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
4662.2
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
4547.5
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4476.1
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
4347.9
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4319.9
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
4319.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
4318.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
4309.3
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4291.8
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
4284.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4284.0
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
4272.2
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4265.2
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
4257.4
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4247.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4231.3
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
4122.5
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
4114.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
4090.8
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
4069.1
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4057.6
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
4054.5
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
4022.7
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3974.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3940.6
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3928.8
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3906.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3896.9
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
3866.1
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3827.9
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3792.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3789.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3783.2
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
3773.4
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3766.1
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3743.0
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
3721.8
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3717.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3706.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3688.6
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3688.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3685.2
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3682.8
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3675.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3654.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3635.1
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3582.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3562.9
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3528.6
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
3524.8
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3519.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
3508.4
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3496.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3494.4
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3493.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
3492.9
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3490.5
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3465.6
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3443.0
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
3407.6
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3402.0
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3398.5
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3376.3
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3376.2
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3329.8
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3327.6
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
3326.0
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3305.4
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3302.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3297.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3293.4
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3288.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
3285.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3257.5
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3252.0
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3223.8
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
3219.5
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3209.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3193.1
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3179.9
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3178.2
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3160.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3155.0
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3127.8
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3127.1
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
3107.8
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3078.8
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3071.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3071.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3049.8
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3041.5
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3040.7
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3014.5
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3014.3
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3010.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3008.1
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2978.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2967.4
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
2942.3
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2930.7
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2928.8
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2920.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2920.5
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2909.3
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2890.9
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2885.4
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2881.9
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2865.3
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2859.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2849.9
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2844.8
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2832.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2808.6
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
2806.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2797.0
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
2789.9
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2784.4
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2745.1
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2730.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2728.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2722.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
2711.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2703.6
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2703.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2685.5
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2651.3
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2635.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2626.6
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2623.5
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2623.4
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2621.1
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2611.3
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2606.3
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2585.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2578.2
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2559.5
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2559.5
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2559.0
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2558.0
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2553.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2541.7
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2539.1
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2536.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2497.5
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2493.4
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2448.7
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2438.9
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2434.7
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2428.9
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2425.3
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2420.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2414.4
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2409.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2408.8
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2397.2
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2385.6
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2370.0
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
2358.0
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2350.3
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2341.0
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2323.3
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
2319.2
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2302.6
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2297.4
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2289.9
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2281.5
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2257.5
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2220.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2196.3
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2182.6
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2178.0
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2174.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2152.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2149.8
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2149.1
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2135.4
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2130.2
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2114.3
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2110.1
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
2100.1
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
2098.8
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2087.7
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2062.5
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2061.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2052.4
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2051.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2047.3
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2046.2
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2046.0
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2043.1
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2033.6
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2032.5
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2023.8
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2019.0
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2009.3
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2006.6
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2004.1
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1998.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1997.5
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1987.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1985.3
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
1981.4
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1980.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1968.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1961.3
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1944.3
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1924.7
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1908.4
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1900.0
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1894.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1888.6
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1887.6
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
1887.4
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
1883.2
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
1872.7
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1856.6
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1826.8
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1822.3
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1821.4
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1811.6
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1791.8
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1789.2
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1784.7
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1781.5
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1780.5
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1779.4
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1773.0
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1770.6
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1767.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
1757.8
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1752.5
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1738.2
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1735.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1729.4
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1720.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1690.6
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1680.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1676.2
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1667.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1662.3
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1662.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1662.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1660.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1659.4
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1651.6
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1636.6
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1633.3
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1632.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1629.6
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1625.0
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1621.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
1614.7
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1608.2
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1593.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
1582.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1577.0
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1570.3
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1563.6
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1562.3
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1557.5
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1548.9
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1547.1
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1536.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1533.3
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1525.1
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
1521.0
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1508.5
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1505.0
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1495.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1485.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1482.1
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1465.3
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1455.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1452.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1436.5
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1434.7
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1427.6
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1413.8
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1395.3
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1380.0
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1376.7
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1369.0
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1362.5
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1358.8
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1356.7
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1351.3
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1338.7
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1336.4
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1296.2
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1290.5
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1279.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1274.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1273.7
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1264.9
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1242.8
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1238.6
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1236.4
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1231.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1230.0
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1211.6
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1187.8
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1163.4
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1157.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1146.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1105.5
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1099.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1080.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1075.0
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1037.5
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1033.2
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
976.9
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
957.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
933.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
803.3
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
703.7
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
670.0
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 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.
RPL35 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.
0.038
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.
8%
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
2335.3
Number of samples
81
Samples
Sample
Description
TPM
DO46333
58 years, female, NA, stage:III, dead, 359 days
9932.6
DO46611
52 years, female, NA, stage:III, dead, 734 days
6708.4
DO46380
51 years, female, NA, stage:III, dead, 1423 days
6340.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
5774.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
5692.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
5045.4
DO46576
75 years, female, NA, stage:III, alive, 133 days
4708.1
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
4168.0
DO46581
66 years, female, NA, stage:III, dead, 408 days
3953.8
DO46408
56 years, female, NA, stage:III, dead, 489 days
3930.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
3898.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3807.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3523.0
DO46392
48 years, female, NA, stage:III, dead, 628 days
3237.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
3020.8
DO46364
45 years, female, NA, stage:III, dead, 806 days
2961.5
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2887.2
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2845.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2741.5
DO46404
55 years, female, NA, stage:III, dead, 690 days
2634.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
2629.8
DO46568
66 years, female, NA, stage:III, dead, 320 days
2593.2
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2562.7
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2482.4
DO46328
52 years, female, NA, stage:III, dead, 972 days
2477.3
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2435.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2429.3
DO46561
52 years, female, NA, stage:III, dead, 195 days
2413.7
DO46352
60 years, female, NA, stage:III, dead, 677 days
2371.9
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2366.9
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2312.5
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2283.7
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2245.4
DO46591
58 years, female, NA, stage:III, dead, 195 days
2233.9
DO46402
77 years, female, NA, stage:III, dead, 511 days
2198.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
2100.1
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2041.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2001.1
DO46384
55 years, female, NA, stage:III, dead, 614 days
1993.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
1921.2
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1918.1
DO46354
73 years, female, NA, stage:III, dead, 843 days
1886.9
DO46412
64 years, female, NA, stage:III, dead, 597 days
1873.0
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1872.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1865.1
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1789.5
DO46388
74 years, female, NA, stage:III, dead, 413 days
1782.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1780.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1768.4
DO46326
51 years, female, NA, stage:III, dead, 701 days
1751.3
DO46325
54 years, female, NA, stage:III, dead, 477 days
1679.7
DO46338
59 years, female, NA, stage:III, dead, 596 days
1665.9
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1582.7
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1530.6
DO46443
59 years, female, NA, stage:III, dead, 2464 days
1506.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1500.1
DO46334
77 years, female, NA, stage:III, dead, 496 days
1376.1
DO46340
62 years, female, NA, stage:III, dead, 616 days
1356.5
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1350.8
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1347.2
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1302.9
DO46597
60 years, female, NA, stage:III, dead, 393 days
1293.2
DO46332
56 years, female, NA, stage:III, dead, 689 days
1273.1
DO46378
59 years, female, NA, stage:III, alive, 843 days
1236.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
1225.8
DO46350
66 years, female, NA, stage:III, dead, 886 days
1199.5
DO46358
60 years, female, NA, stage:III, dead, 423 days
1197.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1104.1
DO46396
64 years, female, NA, stage:III, dead, 583 days
1103.7
DO46398
66 years, female, NA, stage:III, alive, 437 days
1095.8
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1066.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
1027.8
DO46400
70 years, female, NA, stage:III, dead, 719 days
1026.2
DO46330
60 years, female, NA, stage:III, dead, 684 days
1000.9
DO46346
54 years, female, NA, stage:III, dead, 1187 days
985.6
DO46327
54 years, female, NA, stage:III, dead, 184 days
947.5
DO46374
69 years, female, NA, stage:III, dead, 1409 days
932.5
DO46588
74 years, female, NA, stage:III, dead, 438 days
874.5
DO46382
62 years, female, NA, stage:IV, dead, 311 days
753.7
DO46566
78 years, female, NA, stage:III, dead, 673 days
716.6
DO46606
73 years, female, NA, stage:III, alive, 804 days
715.6
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.5
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
1.3
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
1.3
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
1.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.2
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
1.2
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
1.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
1.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
1.0
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
1.0
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
1.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.9
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.9
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.8
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.8
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.8
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.8
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.8
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.7
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.7
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.6
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.5
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.5
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.5
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.5
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.4
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.4
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.4
15524912-685a-47ce-a824-567848_D2
Tumor
0.3
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.3
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.3
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.3
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.3
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.2
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.2
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.2
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.1
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.1
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.1
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.0
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.0
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.0
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.0
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.0
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.1
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.2
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.2
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.3
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.4
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.4
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.4
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.4
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.5
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.5
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.5
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.5
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.6
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.6
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.6
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.6
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.6
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.6
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.6
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.7
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.7
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.7
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.8
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.9
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.9
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.9
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.9
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-1.2
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-1.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.3
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.5
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.6
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.