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.
KLK7 is not prognostic in Ovary Serous Cystadenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
196.6
Number of samples
349
Samples
Sample
Description
TPM
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1460.0
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1423.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
973.2
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
920.7
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
881.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
833.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
821.3
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
793.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
749.3
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
725.1
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
667.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
639.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
615.4
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
594.0
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
550.3
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
544.0
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
542.6
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
509.1
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
507.5
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
500.5
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
498.2
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
477.4
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
473.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
469.7
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
458.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
454.6
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
446.8
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
446.4
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
446.1
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
442.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
437.4
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
437.1
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
435.7
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
435.3
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
429.1
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
428.2
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
424.5
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
420.8
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
420.8
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
420.3
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
418.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
415.3
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
409.0
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
407.5
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
402.2
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
401.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
398.5
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
395.1
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
379.0
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
378.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
373.5
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
353.4
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
353.1
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
353.0
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
352.0
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
347.8
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
345.5
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
344.4
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
341.3
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
337.9
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
336.0
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
324.8
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
324.3
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
323.6
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
321.2
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
318.2
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
315.9
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
314.5
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
314.1
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
310.7
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
307.0
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
303.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
302.9
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
300.7
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
300.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
295.4
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
295.1
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
295.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
293.3
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
288.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
287.7
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
284.4
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
283.9
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
282.5
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
280.7
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
279.0
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
275.1
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
273.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
266.8
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
262.5
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
260.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
258.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
258.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
257.5
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
256.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
250.2
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
247.3
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
246.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
245.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
245.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
244.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
244.2
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
243.3
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
242.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
242.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
238.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
234.0
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
226.6
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
224.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
222.8
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
220.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
219.9
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
216.6
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
215.3
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
212.4
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
211.5
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
210.9
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
210.1
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
203.8
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
200.5
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
198.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
198.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
197.9
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
194.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
194.5
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
194.4
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
193.7
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
193.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
192.4
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
191.3
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
190.6
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
189.6
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
184.2
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
183.7
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
183.1
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
181.0
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
180.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
180.4
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
180.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
179.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
179.2
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
178.9
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
178.3
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
176.6
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
175.9
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
175.7
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
174.3
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
173.8
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
172.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
171.6
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
170.8
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
169.1
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
165.4
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
161.9
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
157.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
156.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
155.4
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
155.1
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
153.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
151.8
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
151.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
150.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
150.2
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
150.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
149.4
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
148.9
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
148.6
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
148.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
147.7
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
145.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
145.6
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
145.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
144.2
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
143.7
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
141.4
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
141.4
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
139.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
138.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
138.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
138.0
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
137.9
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
137.3
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
135.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
132.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
131.9
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
131.8
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
129.7
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
128.8
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
128.7
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
127.7
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
127.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
125.6
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
125.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
125.4
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
125.1
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
124.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
119.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
117.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
115.2
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
113.5
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
112.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
112.3
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
112.1
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
111.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
110.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
109.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
106.7
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
105.4
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
105.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
105.1
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
104.0
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
103.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
103.4
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
103.1
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
102.2
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
102.2
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
102.0
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
100.7
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
100.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
98.9
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
97.7
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
97.1
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
97.1
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
93.9
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
93.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
93.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
93.5
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
91.9
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
88.9
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
88.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
87.7
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
87.7
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
86.2
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
85.4
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
85.3
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
83.6
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
83.5
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
83.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
82.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
81.8
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
80.9
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
80.0
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
79.7
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
78.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
78.5
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
76.8
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
76.1
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
75.4
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
72.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
72.7
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
72.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
71.4
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
71.3
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
71.2
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
71.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
70.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
69.9
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
68.9
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
68.4
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
68.3
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
67.9
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
67.8
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
67.0
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
66.3
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
66.1
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
66.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
65.1
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
64.5
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
64.5
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
64.0
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
63.9
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
63.7
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
63.7
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
63.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
63.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
61.7
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
58.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
57.8
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
56.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
54.8
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
54.8
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
53.5
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
52.5
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
51.7
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
51.4
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
49.1
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
48.3
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
47.6
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
47.1
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
46.3
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
45.3
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
44.6
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
44.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
43.7
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
42.7
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
42.0
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
40.4
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
39.6
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
39.5
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
38.7
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
38.2
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
37.2
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
36.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
34.6
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
33.5
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
33.4
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
32.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
30.9
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
30.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
29.2
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
27.1
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
26.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
26.3
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
26.3
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
26.1
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
23.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
22.4
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
21.9
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
21.3
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
20.6
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
19.7
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
19.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
18.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
18.0
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
17.4
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
16.8
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
14.0
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
13.4
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
13.4
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
13.4
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
13.1
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
12.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
10.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
10.1
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
9.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
9.3
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
9.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
6.8
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
5.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4.8
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3.8
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3.2
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3.2
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3.1
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
1.1
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
0.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
0.5
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 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.
KLK7 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
120.9
Number of samples
81
Samples
Sample
Description
TPM
DO46602
74 years, female, NA, stage:III, dead, 205 days
557.6
DO46350
66 years, female, NA, stage:III, dead, 886 days
396.3
DO46378
59 years, female, NA, stage:III, alive, 843 days
320.5
DO46340
62 years, female, NA, stage:III, dead, 616 days
320.2
DO46376
58 years, female, NA, stage:III, dead, 1430 days
320.2
DO46354
73 years, female, NA, stage:III, dead, 843 days
317.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
303.2
DO46508
50 years, female, NA, stage:III, dead, 2101 days
277.4
DO46551
58 years, female, NA, stage:III, dead, 1055 days
247.7
DO46382
62 years, female, NA, stage:IV, dead, 311 days
240.9
DO46538
57 years, female, NA, stage:III, dead, 1527 days
237.1
DO46368
57 years, female, NA, stage:III, dead, 2879 days
235.5
DO46448
45 years, female, NA, stage:III, dead, 654 days
225.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
212.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
205.8
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
194.8
DO46581
66 years, female, NA, stage:III, dead, 408 days
173.9
DO46380
51 years, female, NA, stage:III, dead, 1423 days
164.7
DO46392
48 years, female, NA, stage:III, dead, 628 days
155.8
DO46386
49 years, female, NA, stage:III, dead, 1162 days
153.6
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
152.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
147.4
DO46334
77 years, female, NA, stage:III, dead, 496 days
145.8
DO46336
70 years, female, NA, stage:IV, dead, 664 days
145.6
DO46518
62 years, female, NA, stage:III, alive, 2960 days
144.5
DO46364
45 years, female, NA, stage:III, dead, 806 days
142.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
139.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
135.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
130.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
130.5
DO46493
62 years, female, NA, stage:IV, alive, 839 days
128.4
DO46576
75 years, female, NA, stage:III, alive, 133 days
128.1
DO46408
56 years, female, NA, stage:III, dead, 489 days
124.7
DO46344
46 years, female, NA, stage:III, dead, 642 days
123.2
DO46372
39 years, female, NA, stage:III, dead, 1326 days
120.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
112.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
103.8
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
99.3
DO46384
55 years, female, NA, stage:III, dead, 614 days
98.6
DO46352
60 years, female, NA, stage:III, dead, 677 days
96.4
DO46366
65 years, female, NA, stage:III, dead, 2054 days
94.9
DO46370
54 years, female, NA, stage:III, dead, 1727 days
94.1
DO46606
73 years, female, NA, stage:III, alive, 804 days
91.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
87.3
DO46328
52 years, female, NA, stage:III, dead, 972 days
86.5
DO46332
56 years, female, NA, stage:III, dead, 689 days
83.4
DO46586
55 years, female, NA, stage:III, dead, 1019 days
75.3
DO46597
60 years, female, NA, stage:III, dead, 393 days
73.3
DO46463
49 years, female, NA, stage:III, dead, 2451 days
68.3
DO46412
64 years, female, NA, stage:III, dead, 597 days
66.0
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
66.0
DO46404
55 years, female, NA, stage:III, dead, 690 days
63.4
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
62.9
DO46432
56 years, female, NA, stage:III, alive, 2218 days
62.3
DO46327
54 years, female, NA, stage:III, dead, 184 days
61.4
DO46561
52 years, female, NA, stage:III, dead, 195 days
60.3
DO46568
66 years, female, NA, stage:III, dead, 320 days
60.1
DO46329
52 years, female, NA, stage:III, dead, 1699 days
56.2
DO46390
65 years, female, NA, stage:III, dead, 374 days
55.8
DO46566
78 years, female, NA, stage:III, dead, 673 days
55.2
DO46331
72 years, female, NA, stage:III, dead, 612 days
54.2
DO46546
73 years, female, NA, stage:III, dead, 1889 days
54.1
DO46571
61 years, female, NA, stage:III, dead, 243 days
50.8
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
50.0
DO46400
70 years, female, NA, stage:III, dead, 719 days
43.0
DO46342
67 years, female, NA, stage:III, dead, 1398 days
41.5
DO46560
45 years, female, NA, stage:IV, dead, 286 days
40.7
DO46326
51 years, female, NA, stage:III, dead, 701 days
39.2
DO46611
52 years, female, NA, stage:III, dead, 734 days
35.8
DO46348
58 years, female, NA, stage:IV, dead, 287 days
34.7
DO46468
67 years, female, NA, stage:III, alive, 2776 days
32.2
DO46333
58 years, female, NA, stage:III, dead, 359 days
16.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
16.1
DO46402
77 years, female, NA, stage:III, dead, 511 days
15.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
14.6
DO46588
74 years, female, NA, stage:III, dead, 438 days
9.2
DO46453
66 years, female, NA, stage:III, dead, 3294 days
7.1
DO46338
59 years, female, NA, stage:III, dead, 596 days
4.7
DO46362
61 years, female, NA, stage:III, dead, 1639 days
3.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
1.8
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.3
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
1.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
1.1
2f901c90-617e-46da-9fac-d68369_D2
Tumor
1.0
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.9
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.9
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.9
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.9
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.8
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.8
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.8
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.8
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.8
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.8
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.8
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.7
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.7
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.7
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.7
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.7
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.6
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.6
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.6
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.6
21efd60f-6a31-4b98-9477-16a905_D2
Normal
0.6
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.6
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.6
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.6
15524912-685a-47ce-a824-567848_D2
Tumor
0.6
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.6
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.5
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.5
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
0.5
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.5
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.5
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.5
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.5
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.5
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.5
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.5
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.5
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.5
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.5
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.4
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.4
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.4
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.4
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.4
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.4
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.4
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.4
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.4
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.4
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.3
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.3
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.3
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.3
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.3
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.3
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.3
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.3
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.2
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.2
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.2
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.2
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.2
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.2
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.2
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.2
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.2
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.1
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.1
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.1
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.1
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.1
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.0
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.0
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.0
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.0
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.0
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.1
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.1
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.2
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.2
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.2
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.3
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.6
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.7
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
