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GABARAP
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  • SUMMARY

  • TISSUE

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  • STRUCT & INT

  • GABARAP
CANCER OVARIAN CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
OV TCGA OV VALIDATION PROTEIN OV CPTAC
Dictionary
Ovarian cancer
Human cancer
Ovary serous cystadenocarcinoma
OVARY SEROUS CYSTADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

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.

GABARAP 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.

: 625.14
Median expressioni

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.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 775.5
Number of samples 349
Samples
Sample Description pTPM
TCGA-61-2012-01A 81 years, female, white, stage:Stage IIC, alive, 932 days 2231.0
TCGA-13-0891-01A 73 years, female, white, stage:Stage IV, dead, 3128 days 2029.7
TCGA-31-1953-01A 52 years, female, asian, stage:Stage IIIC, alive, 204 days 1628.0
TCGA-24-1474-01A 57 years, female, black or african american, stage:Stage IIIC, dead, 676 days 1596.6
TCGA-30-1866-01A 61 years, female, white, stage:Stage IV, dead, 1114 days 1558.9
TCGA-13-0911-01A 55 years, female, white, stage:Stage IV, dead, 1355 days 1445.4
TCGA-31-1950-01A 76 years, female, white, stage:Stage IIIC, alive, 571 days 1445.1
TCGA-13-0800-01A 52 years, female, white, stage:Stage IIIC, alive, 2661 days 1434.5
TCGA-09-2054-01A 58 years, female, black or african american, stage:Stage IIIC, dead, 637 days 1416.9
TCGA-29-1766-01A 74 years, female, white, stage:Stage IIIC, dead, 1199 days 1398.9
TCGA-09-2048-01A 63 years, female, white, stage:Stage IIIC, dead, 138 days 1393.3
TCGA-09-0369-01A 56 years, female, white, stage:Stage IIIC, dead, 1082 days 1389.9
TCGA-04-1347-01A 81 years, female, white, stage:Stage IV, alive, 1919 days 1349.2
TCGA-23-2077-01A 45 years, female, white, stage:Stage IIIC, alive, 3525 days 1344.1
TCGA-61-2009-01A 65 years, female, white, stage:Stage IIIC, alive, 1212 days 1335.0
TCGA-13-2060-01A 51 years, female, white, stage:Stage IV, alive, 2369 days 1334.5
TCGA-30-1862-01A 65 years, female, white, stage:Stage IV, dead, 186 days 1316.7
TCGA-13-0920-01A 65 years, female, white, stage:Stage IIIC, dead, 1484 days 1293.0
TCGA-25-2404-01A 38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days 1289.2
TCGA-13-1507-01A 77 years, female, white, stage:Stage IIIC, dead, 1993 days 1281.6
TCGA-23-1107-01A 59 years, female, white, stage:Stage IV, dead, 9 days 1275.8
TCGA-04-1343-01A 72 years, female, white, stage:Stage IV, dead, 361 days 1273.2
TCGA-13-0887-01A 42 years, female, white, stage:Stage IIIC, dead, 2028 days 1238.2
TCGA-13-1487-01A 74 years, female, white, stage:Stage IV, dead, 681 days 1237.1
TCGA-24-1419-01A 62 years, female, white, stage:Stage IIIC, alive, 239 days 1216.9
TCGA-29-1691-01A 51 years, female, white, stage:Stage IIIC, dead, 1470 days 1212.2
TCGA-09-0366-01A 55 years, female, white, stage:Stage IIIC, dead, 1757 days 1207.7
TCGA-36-1580-01A 82 years, female, stage:Stage IIIC, dead, 737 days 1194.2
TCGA-20-0987-01A 61 years, female, white, stage:Stage IIIC, dead, 701 days 1185.5
TCGA-13-1511-01A 52 years, female, asian, stage:Stage IV, dead, 1650 days 1177.1
TCGA-04-1332-01A 70 years, female, white, stage:Stage IIIC, dead, 1247 days 1167.2
TCGA-WR-A838-01A 72 years, female, black or african american, stage:Stage IIIC, dead, 304 days 1166.8
TCGA-23-1109-01A 62 years, female, white, stage:Stage IIIC, dead, 1562 days 1160.9
TCGA-24-1544-01A 71 years, female, black or african american, stage:Stage IIIC, dead, 820 days 1151.2
TCGA-24-2024-01A 72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days 1147.9
TCGA-13-0923-01A 74 years, female, white, stage:Stage IIIC, alive, 2547 days 1120.6
TCGA-23-1022-01A 67 years, female, white, stage:Stage IIIC, dead, 1511 days 1119.5
TCGA-61-1733-01A 71 years, female, white, stage:Stage IIIC, alive, 967 days 1115.6
TCGA-24-1850-01A 72 years, female, white, stage:Stage IIIC, alive, 168 days 1112.2
TCGA-24-0968-01A 59 years, female, white, stage:Stage IIIC, dead, 598 days 1106.4
TCGA-25-2398-01A 71 years, female, white, stage:Stage IIIC, dead, 1369 days 1100.1
TCGA-61-1918-01A 45 years, female, white, stage:Stage IV, dead, 479 days 1099.4
TCGA-61-1721-01A 38 years, female, white, stage:Stage IV, alive, 338 days 1076.3
TCGA-13-1489-01A 70 years, female, white, stage:Stage IIIC, dead, 2553 days 1075.8
TCGA-25-1633-01A 64 years, female, white, stage:Stage IIIC, dead, 1891 days 1063.7
TCGA-29-1710-01A 54 years, female, white, stage:Stage IIIC, dead, 951 days 1060.6
TCGA-36-1581-01A 63 years, female, white, stage:Stage IIC, alive, 751 days 1053.8
TCGA-23-1123-01A 59 years, female, white, stage:Stage IIIC, dead, 1018 days 1052.4
TCGA-24-2254-01A 66 years, female, white, stage:Stage IIIC, dead, 1736 days 1051.4
TCGA-25-1313-01A 62 years, female, white, stage:Stage IV, dead, 820 days 1035.7
TCGA-13-1512-01A 49 years, female, white, stage:Stage IIIC, alive, 442 days 1034.5
TCGA-61-2092-01A 57 years, female, white, stage:Stage IIIC, alive, 1573 days 1031.3
TCGA-20-1683-01A 65 years, female, white, stage:Stage IIIC, alive, 772 days 1029.2
TCGA-61-1738-01A 60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days 1027.5
TCGA-24-1546-01A 46 years, female, white, stage:Stage IIIC, dead, 1955 days 1020.6
TCGA-13-0906-01A 50 years, female, white, stage:Stage IIIC, alive, 3619 days 1008.9
TCGA-09-2051-01A 42 years, female, white, stage:Stage IIIC, alive, 1919 days 1006.0
TCGA-10-0931-01A 44 years, female, white, stage:Stage IIIC, dead, 1000 days 1004.0
TCGA-13-0795-01A 66 years, female, white, stage:Stage IIIC, dead, 619 days 1002.6
TCGA-13-1485-01A 48 years, female, white, stage:Stage IV, dead, 629 days 994.8
TCGA-29-2428-01A 58 years, female, white, stage:Stage IIIC, alive, 1372 days 991.2
TCGA-04-1356-01A 62 years, female, white, stage:Stage IIC, dead, 1499 days 990.1
TCGA-13-1505-01A 63 years, female, white, stage:Stage IIIC, alive, 1998 days 984.6
TCGA-13-0725-01A 44 years, female, white, stage:Stage IIIC, dead, 377 days 982.5
TCGA-61-2097-01A 71 years, female, white, stage:Stage IIC, alive, 1844 days 981.4
TCGA-23-1110-01A 42 years, female, white, stage:Stage IIIC, alive, 1658 days 968.5
TCGA-36-1569-01A 52 years, female, white, stage:Stage IIIC, alive, 885 days 964.8
TCGA-29-1701-01A 56 years, female, white, stage:Stage IIIC, dead, 515 days 964.7
TCGA-13-0924-01A 45 years, female, white, stage:Stage IV, alive, 2614 days 962.1
TCGA-57-1993-01A 56 years, female, white, stage:Stage IIIC, alive, 763 days 954.2
TCGA-31-1959-01A 49 years, female, white, stage:Stage IV, alive, 67 days 954.2
TCGA-61-1910-01A 56 years, female, white, stage:Stage IIC, alive, 1127 days 947.7
TCGA-24-1560-01A 51 years, female, white, stage:Stage IIIC, dead, 1341 days 944.5
TCGA-29-1763-01A 43 years, female, black or african american, stage:Stage IIC, alive, 2032 days 942.6
TCGA-25-1635-01A 71 years, female, white, stage:Stage IIIC, dead, 1583 days 930.1
TCGA-29-1690-01A 66 years, female, white, stage:Stage IIIC, dead, 1448 days 929.4
TCGA-04-1341-01A 85 years, female, white, stage:'--, alive, 33 days 924.7
TCGA-24-1434-01A 59 years, female, white, stage:Stage IIIC, dead, 568 days 923.3
TCGA-24-1565-01A 74 years, female, white, stage:Stage IIIC, dead, 312 days 923.0
TCGA-20-0991-01A 78 years, female, white, stage:Stage IIB, alive, 797 days 920.4
TCGA-29-1774-01A 82 years, female, white, stage:Stage IIIC, alive, 527 days 919.4
TCGA-25-1315-01A 50 years, female, white, stage:Stage IIIC, dead, 1583 days 918.8
TCGA-13-1411-01A 81 years, female, white, stage:Stage IIIC, dead, 531 days 918.7
TCGA-13-0765-01A 50 years, female, white, stage:Stage IIIC, dead, 1389 days 918.4
TCGA-36-1576-01A 76 years, female, stage:Stage IIIC, alive, 915 days 914.0
TCGA-29-2414-01A 75 years, female, white, stage:Stage IIIC, dead, 2621 days 910.1
TCGA-04-1361-01A 57 years, female, white, stage:Stage IIIB, alive, 989 days 909.7
TCGA-24-1469-01A 71 years, female, white, stage:Stage IIIC, alive, 277 days 901.1
TCGA-04-1655-01A 49 years, female, white, stage:Stage IIIB, dead, 1380 days 899.5
TCGA-30-1853-01A 58 years, female, white, stage:Stage IIIC, dead, 1103 days 895.5
TCGA-13-0727-01A 71 years, female, white, stage:Stage IIIC, dead, 462 days 881.8
TCGA-13-1483-01A 61 years, female, white, stage:Stage IIIC, dead, 895 days 879.8
TCGA-23-2078-01A 66 years, female, white, stage:Stage IIIC, alive, 2661 days 873.9
TCGA-36-1577-01A 43 years, female, asian, stage:Stage IIC, alive, 783 days 873.3
TCGA-13-0897-01A 54 years, female, white, stage:Stage IIIC, dead, 2182 days 872.4
TCGA-23-1028-01A 43 years, female, white, stage:Stage IIIC, alive, 1503 days 872.1
TCGA-13-0768-01A 73 years, female, white, stage:Stage IIIC, dead, 1784 days 866.2
TCGA-24-2023-01A 54 years, female, white, stage:Stage IIIA, dead, 1364 days 865.8
TCGA-29-1697-01A 62 years, female, white, stage:Stage IIIC, dead, 949 days 863.8
TCGA-61-1741-01A 76 years, female, white, stage:Stage IIIB, dead, 1024 days 862.9
TCGA-29-1770-01A 54 years, female, white, stage:Stage IIIC, alive, 741 days 862.8
TCGA-29-1711-01A 45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days 859.6
TCGA-29-1769-01A 40 years, female, white, stage:Stage IIIC, alive, 699 days 854.0
TCGA-13-1499-01A 56 years, female, white, stage:Stage IIIC, alive, 3500 days 853.4
TCGA-13-0883-01A 61 years, female, white, stage:Stage IIIC, dead, 2097 days 851.3
TCGA-25-1628-01A 67 years, female, white, stage:Stage IIIC, dead, 627 days 849.5
TCGA-25-1634-01A 75 years, female, white, stage:Stage IIIC, dead, 1091 days 843.8
TCGA-13-1497-01A 47 years, female, white, stage:Stage IIIC, alive, 3871 days 842.8
TCGA-13-0804-01A 73 years, female, white, stage:Stage IIIC, dead, 1073 days 842.7
TCGA-24-1924-01A 65 years, female, white, stage:Stage IIIC, dead, 919 days 841.7
TCGA-25-1627-01A 73 years, female, white, stage:Stage IIIC, dead, 394 days 840.4
TCGA-61-1725-01A 40 years, female, white, stage:Stage IIIC, alive, 956 days 840.3
TCGA-24-2293-01A 47 years, female, white, stage:'--, dead, 506 days 840.1
TCGA-04-1364-01A 61 years, female, white, stage:Stage IIIC, dead, 1024 days 835.2
TCGA-59-A5PD-01A 55 years, female, black or african american, stage:Stage IC, dead, 624 days 833.9
TCGA-23-1116-01A 83 years, female, white, stage:Stage IIIC, dead, 592 days 832.9
TCGA-61-1728-01A 59 years, female, white, stage:Stage IV, alive, 848 days 831.5
TCGA-25-2401-01A 64 years, female, white, stage:Stage IIIC, dead, 90 days 829.1
TCGA-13-0762-01A 65 years, female, white, stage:Stage IIIC, alive, 3400 days 827.6
TCGA-57-1586-01A 66 years, female, white, stage:Stage IIIC, alive, 679 days 824.0
TCGA-25-2400-01A 76 years, female, white, stage:Stage IIIC, dead, 1278 days 822.1
TCGA-24-1418-01A 68 years, female, white, stage:Stage IIIC, alive, 243 days 821.6
TCGA-23-1113-01A 48 years, female, white, stage:Stage IV, dead, 949 days 821.3
TCGA-25-1328-01A 38 years, female, white, stage:Stage IIIC, dead, 2009 days 819.1
TCGA-24-2281-01A 68 years, female, white, stage:Stage IIA, alive, 1357 days 818.2
TCGA-29-1703-01A 56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days 817.7
TCGA-29-1695-01A 62 years, female, white, stage:Stage IIIC, dead, 1229 days 816.3
TCGA-13-0724-01A 72 years, female, white, stage:Stage IV, dead, 83 days 816.1
TCGA-29-1761-01A 80 years, female, asian, stage:Stage IIIC, dead, 528 days 811.0
TCGA-04-1648-01A 57 years, female, white, stage:Stage IIIC, dead, 871 days 810.7
TCGA-61-1900-01A 51 years, female, black or african american, stage:Stage IIIB, alive, 176 days 810.2
TCGA-09-1670-01A 57 years, female, white, stage:Stage IIIA, alive, 547 days 807.3
TCGA-23-1809-01A 63 years, female, white, stage:Stage IIC, alive, 16 days 795.1
TCGA-25-2392-01A 75 years, female, white, stage:Stage IV, dead, 31 days 793.9
TCGA-25-1626-01A 65 years, female, white, stage:Stage IIIC, dead, 518 days 791.7
TCGA-24-1558-01A 73 years, female, white, stage:Stage IIIC, dead, 594 days 787.7
TCGA-25-2393-01A 81 years, female, white, stage:Stage IIIC, dead, 1157 days 786.5
TCGA-24-2280-01A 74 years, female, white, stage:Stage IIIC, alive, 2143 days 786.2
TCGA-09-0367-01A 67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days 784.9
TCGA-24-1603-01A 53 years, female, white, stage:Stage IIIB, dead, 2742 days 782.9
TCGA-24-1844-01A 64 years, female, white, stage:Stage IIIC, alive, 113 days 781.8
TCGA-59-2352-01A 78 years, female, white, stage:Stage IIIC, dead, 286 days 780.7
TCGA-13-1405-01A 49 years, female, white, stage:Stage IV, dead, 868 days 780.7
TCGA-29-1762-01A 59 years, female, white, stage:Stage IV, dead, 2634 days 779.5
TCGA-61-2003-01A 53 years, female, white, stage:Stage IIIC, alive, 122 days 777.8
TCGA-24-0966-01A 78 years, female, black or african american, stage:Stage IIIC, alive, 232 days 776.5
TCGA-61-1911-01A 55 years, female, white, stage:Stage IIA, alive, 1293 days 771.6
TCGA-24-1427-01A 58 years, female, stage:Stage IIIC, alive, 147 days 771.5
TCGA-23-1027-01A 48 years, female, white, stage:Stage IIIC, dead, 976 days 767.1
TCGA-24-1428-01A 50 years, female, white, stage:Stage IIIC, alive, 529 days 764.2
TCGA-61-2008-01A 40 years, female, asian, stage:Stage IIC, alive, 932 days 760.1
TCGA-30-1860-01A 58 years, female, white, stage:Stage IIIC, dead, 1366 days 759.9
TCGA-59-2354-01A 63 years, female, white, stage:Stage IIIC, dead, 1046 days 755.6
TCGA-13-1410-01A 57 years, female, white, stage:Stage IV, alive, 2464 days 754.7
TCGA-25-1632-01A 68 years, female, white, stage:Stage IV, dead, 1799 days 753.5
TCGA-13-0888-01A 78 years, female, white, stage:Stage IIIC, dead, 2811 days 751.9
TCGA-13-1506-01A 45 years, female, white, stage:Stage IIIC, dead, 1039 days 751.8
TCGA-30-1891-01A 61 years, female, white, stage:Stage IIIC, dead, 914 days 751.6
TCGA-31-1956-01A 60 years, female, white, stage:Stage IIIB, alive, 1342 days 751.4
TCGA-30-1718-01A 44 years, female, white, stage:Stage IIIC, dead, 1579 days 751.1
TCGA-10-0938-01A 80 years, female, white, stage:Stage IIIC, dead, 636 days 750.1
TCGA-13-0730-01A 71 years, female, white, stage:Stage IIIC, dead, 542 days 746.1
TCGA-13-1501-01A 50 years, female, white, stage:Stage IV, dead, 1314 days 745.2
TCGA-57-1585-01A 57 years, female, white, stage:Stage IIIC, dead, 53 days 744.4
TCGA-57-1994-01A 63 years, female, white, stage:'--, alive, 761 days 743.4
TCGA-24-1430-01A 68 years, female, white, stage:Stage IIIC, dead, 863 days 739.1
TCGA-10-0928-01A 71 years, female, white, stage:Stage IIIC, dead, 563 days 739.1
TCGA-5X-AA5U-01A 61 years, female, black or african american, stage:Stage IIC, alive, 361 days 733.0
TCGA-24-2027-01A 51 years, female, white, stage:Stage IV, dead, 3337 days 732.1
TCGA-13-0766-01A 42 years, female, white, stage:Stage IIIC, dead, 1725 days 731.7
TCGA-09-1673-01A 50 years, female, white, stage:Stage IV, alive, 92 days 731.3
TCGA-25-2409-01A 71 years, female, white, stage:Stage IV, dead, 821 days 726.7
TCGA-25-1870-01A 59 years, female, white, stage:Stage IIIC, dead, 455 days 726.0
TCGA-61-2088-01A 51 years, female, white, stage:Stage IIIC, alive, 145 days 721.8
TCGA-13-0726-01A 55 years, female, white, stage:Stage IIIC, dead, 949 days 718.9
TCGA-25-2396-01A 71 years, female, white, stage:Stage IIIC, dead, 92 days 718.0
TCGA-23-1122-01A 53 years, female, white, stage:Stage IIIC, dead, 1189 days 716.0
TCGA-24-1552-01A 77 years, female, white, stage:Stage IIIC, dead, 1259 days 714.7
TCGA-61-2098-01A 62 years, female, white, stage:Stage IIIC, alive, 1993 days 714.4
TCGA-04-1530-01A 68 years, female, white, stage:Stage IIIC, dead, 3622 days 711.4
TCGA-24-1604-01A 66 years, female, white, stage:Stage IIIC, dead, 2688 days 709.4
TCGA-24-1424-01A 67 years, female, white, stage:Stage IIIC, alive, 183 days 709.3
TCGA-04-1514-01A 45 years, female, white, stage:Stage IIIA, dead, 1720 days 707.3
TCGA-10-0937-01A 44 years, female, white, stage:Stage IIIC, dead, 608 days 706.2
TCGA-61-1919-01A 58 years, female, white, stage:Stage IIIC, dead, 1161 days 704.8
TCGA-24-2026-01A 79 years, female, white, stage:Stage IIIC, dead, 1059 days 704.7
TCGA-29-1778-01A 77 years, female, white, stage:Stage IIIC, alive, 454 days 702.8
TCGA-24-1930-01A 53 years, female, white, stage:Stage IIIC, dead, 2467 days 702.7
TCGA-10-0927-01A 65 years, female, stage:Stage IIIC, dead, 2490 days 702.2
TCGA-61-1995-01A 43 years, female, white, stage:Stage IIIC, alive, 61 days 697.4
TCGA-61-2101-01A 55 years, female, white, stage:Stage IIIC, dead, 1688 days 696.6
TCGA-24-1847-01A 45 years, female, white, stage:Stage IV, alive, 343 days 695.7
TCGA-25-1319-01A 73 years, female, white, stage:Stage IIIC, dead, 1977 days 694.4
TCGA-29-A5NZ-01A 66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days 688.1
TCGA-25-1318-01A 54 years, female, white, stage:Stage IIIC, dead, 1064 days 685.3
TCGA-24-1435-01A 57 years, female, white, stage:Stage IIIC, dead, 1324 days 684.8
TCGA-30-1892-01A 52 years, female, white, stage:Stage IIIC, dead, 1484 days 684.2
TCGA-29-2427-01A 60 years, female, white, stage:Stage IIIC, alive, 1900 days 682.8
TCGA-24-1551-01A 53 years, female, white, stage:Stage IIIC, dead, 1579 days 682.4
TCGA-29-1784-01A 55 years, female, white, stage:Stage IIIC, alive, 163 days 682.0
TCGA-20-1687-01A 46 years, female, white, stage:Stage IV, alive, 81 days 681.9
TCGA-25-2042-01A 60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days 681.7
TCGA-61-1998-01A 48 years, female, white, stage:Stage IIIC, alive, 168 days 680.6
TCGA-61-2102-01A 74 years, female, white, stage:Stage IIIC, dead, 197 days 680.4
TCGA-29-2425-01A 60 years, female, white, stage:Stage IIIC, alive, 1977 days 679.1
TCGA-24-2038-01A 68 years, female, white, stage:Stage IIIA, dead, 1354 days 677.3
TCGA-61-2002-01A 46 years, female, white, stage:Stage IIIC, alive, 547 days 675.4
TCGA-59-2355-01A 58 years, female, white, stage:Stage IV, dead, 65 days 673.0
TCGA-13-1510-01A 62 years, female, white, stage:Stage IIIC, dead, 1359 days 671.5
TCGA-04-1519-01A 48 years, female, stage:Stage IIIC, alive, 24 days 670.0
TCGA-23-1111-01A 63 years, female, white, stage:Stage IIIC, alive, 98 days 669.1
TCGA-04-1365-01A 87 years, female, white, stage:Stage IIIB, alive, 947 days 668.5
TCGA-25-1630-01A 73 years, female, white, stage:Stage IIIC, dead, 1162 days 668.3
TCGA-25-1877-01A 81 years, female, white, stage:Stage IIIC, dead, 730 days 666.3
TCGA-57-1582-01A 50 years, female, white, stage:Stage IIIC, dead, 731 days 664.3
TCGA-23-1023-01A 65 years, female, white, stage:Stage IIIC, alive, 1233 days 662.6
TCGA-59-2348-01A 59 years, female, white, stage:Stage IIIC, alive, 5481 days 661.6
TCGA-24-1467-01A 51 years, female, white, stage:Stage IIIC, dead, 3224 days 661.4
TCGA-29-1768-01A 50 years, female, white, stage:Stage IV, dead, 952 days 661.3
TCGA-24-1105-01A 36 years, female, white, stage:Stage IIIC, dead, 1442 days 660.4
TCGA-13-0886-01A 67 years, female, white, stage:Stage IIIC, alive, 4665 days 659.8
TCGA-24-2289-01A 68 years, female, white, stage:Stage IV, dead, 2049 days 658.2
TCGA-29-1783-01A 58 years, female, white, stage:Stage IIIC, alive, 220 days 658.1
TCGA-61-1737-01A 42 years, female, white, stage:Stage IV, alive, 1364 days 653.3
TCGA-61-2111-01A 61 years, female, white, stage:Stage IV, alive, 3825 days 650.1
TCGA-61-2113-01A 53 years, female, white, stage:Stage IIC, dead, 676 days 648.6
TCGA-23-1119-01A 64 years, female, white, stage:Stage IIIC, alive, 3953 days 648.5
TCGA-24-1562-01A 67 years, female, white, stage:Stage IIIC, dead, 1384 days 643.6
TCGA-24-1557-01A 49 years, female, white, stage:Stage IIIC, dead, 1213 days 642.9
TCGA-04-1536-01A 60 years, female, black or african american, stage:Stage IV, dead, 885 days 641.5
TCGA-25-1316-01A 55 years, female, white, stage:Stage IIIC, dead, 1279 days 636.8
TCGA-24-1417-01A 54 years, female, white, stage:Stage IV, alive, 238 days 636.7
TCGA-24-1842-01A 49 years, female, white, stage:Stage IIIC, alive, 253 days 635.9
TCGA-04-1362-01A 59 years, female, white, stage:Stage IIC, dead, 1348 days 628.9
TCGA-13-0916-01A 49 years, female, white, stage:Stage IIIC, alive, 1785 days 628.7
TCGA-25-1326-01A 61 years, female, white, stage:Stage IIIC, dead, 1249 days 627.7
TCGA-29-1693-01A 72 years, female, white, stage:Stage IIIC, alive, 3096 days 627.5
TCGA-59-2351-01A 51 years, female, white, stage:Stage IIIC, alive, 3532 days 626.2
TCGA-04-1350-01A 46 years, female, white, stage:Stage IIIC, dead, 1946 days 625.7
TCGA-24-1563-01A 66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days 624.5
TCGA-29-1694-01A 45 years, female, white, stage:Stage IIIC, dead, 1187 days 623.5
TCGA-24-1553-01A 53 years, female, white, stage:Stage IIIB, dead, 1767 days 623.2
TCGA-24-1616-01A 56 years, female, white, stage:Stage IIIC, dead, 1163 days 622.8
TCGA-59-2363-01A 40 years, female, asian, stage:Stage IIIA, alive, 165 days 620.2
TCGA-24-1422-01A 82 years, female, black or african american, stage:Stage IIIC, dead, 23 days 619.8
TCGA-61-1907-01A 63 years, female, white, stage:Stage IIIC, alive, 952 days 619.5
TCGA-23-1030-01A 64 years, female, white, stage:Stage IIIC, alive, 886 days 619.4
TCGA-04-1331-01A 78 years, female, white, stage:Stage IIIC, dead, 1336 days 619.0
TCGA-24-1928-01A 77 years, female, white, stage:Stage IIIC, dead, 336 days 618.8
TCGA-61-2104-01A 53 years, female, white, stage:Stage IIC, alive, 2338 days 613.8
TCGA-13-1488-01A 59 years, female, white, stage:Stage IV, dead, 2154 days 612.7
TCGA-24-1923-01A 51 years, female, white, stage:Stage IIIC, dead, 690 days 612.2
TCGA-25-1623-01A 71 years, female, white, stage:Stage IV, dead, 565 days 612.1
TCGA-25-2399-01A 80 years, female, white, stage:Stage IIIC, dead, 608 days 608.6
TCGA-25-1320-01A 65 years, female, white, stage:Stage IIIC, dead, 1155 days 604.8
TCGA-24-2035-01A 65 years, female, white, stage:Stage IIIC, dead, 857 days 603.5
TCGA-59-2350-01A 44 years, female, stage:Stage IV, dead, 679 days 603.2
TCGA-24-1425-01A 45 years, female, white, stage:Stage IIIC, alive, 181 days 603.1
TCGA-29-1705-01A 47 years, female, white, stage:Stage IIIC, dead, 555 days 599.4
TCGA-30-1857-01A 64 years, female, white, stage:Stage IV, dead, 8 days 598.1
TCGA-13-1492-01A 66 years, female, white, stage:Stage IIIC, dead, 3819 days 597.8
TCGA-57-1584-01A 47 years, female, white, stage:Stage IIIC, alive, 643 days 595.0
TCGA-09-2045-01A 50 years, female, asian, stage:Stage IV, dead, 1069 days 594.5
TCGA-30-1861-01A 74 years, female, white, stage:Stage IIIC, dead, 1058 days 591.1
TCGA-24-1104-01A 56 years, female, white, stage:Stage IV, dead, 1933 days 585.3
TCGA-25-1317-01A 66 years, female, white, stage:Stage IIIC, dead, 61 days 584.3
TCGA-25-1323-01A 72 years, female, white, stage:Stage IIIC, dead, 395 days 578.8
TCGA-13-1495-01A 60 years, female, white, stage:Stage IIIC, dead, 2749 days 578.0
TCGA-04-1542-01A 52 years, female, white, stage:Stage IIIB, dead, 2561 days 576.1
TCGA-29-1688-01A 39 years, female, white, stage:Stage IIIC, dead, 2400 days 571.5
TCGA-09-1666-01A 57 years, female, white, stage:Stage IIIC, alive, 1752 days 571.4
TCGA-61-1724-01A 47 years, female, white, stage:Stage IIIC, dead, 637 days 570.7
TCGA-20-1682-01A 56 years, female, white, stage:Stage IIIC, alive, 837 days 568.7
TCGA-29-1785-01A 55 years, female, white, stage:Stage IIIC, dead, 1104 days 565.5
TCGA-24-2020-01A 67 years, female, white, stage:Stage IIIC, dead, 4624 days 561.5
TCGA-31-1946-01A 30 years, female, stage:Stage IIIC, alive, 918 days 561.2
TCGA-29-1777-01A 47 years, female, white, stage:Stage IIIC, alive, 374 days 558.7
TCGA-36-1574-01A 48 years, female, asian, stage:Stage IIIC, alive, 686 days 557.1
TCGA-24-1413-01A 51 years, female, white, stage:Stage IIIC, alive, 192 days 556.8
TCGA-57-1583-01A 57 years, female, black or african american, stage:Stage IIIC, dead, 346 days 555.0
TCGA-36-1571-01A 53 years, female, white, stage:Stage IIIB, dead, 695 days 551.8
TCGA-24-1431-01A 67 years, female, white, stage:Stage IIIC, dead, 583 days 550.8
TCGA-13-0720-01A 48 years, female, white, stage:Stage IIIC, dead, 1355 days 547.9
TCGA-61-1914-01A 65 years, female, stage:Stage IIIC, alive, 1722 days 547.8
TCGA-24-1471-01A 60 years, female, white, stage:Stage IIIC, alive, 36 days 546.7
TCGA-24-2290-01A 56 years, female, white, stage:Stage IIIC, dead, 1102 days 546.3
TCGA-24-0982-01A 77 years, female, white, stage:Stage IIIC, dead, 679 days 545.2
TCGA-25-1321-01A 65 years, female, white, stage:Stage IIIC, dead, 1033 days 544.4
TCGA-04-1338-01A 78 years, female, white, stage:Stage IIIC, alive, 1418 days 543.9
TCGA-23-1024-01A 52 years, female, white, stage:Stage IV, alive, 468 days 541.7
TCGA-13-1404-01A 48 years, female, white, stage:Stage IIIC, alive, 2469 days 541.0
TCGA-24-2261-01A 76 years, female, white, stage:Stage IIIC, dead, 24 days 539.3
TCGA-13-1477-01A 49 years, female, white, stage:Stage IV, dead, 1662 days 535.7
TCGA-09-0364-01A 80 years, female, white, stage:Stage IIC, dead, 887 days 534.0
TCGA-20-1686-01A 75 years, female, white, stage:Stage IIIC, alive, 89 days 533.1
TCGA-29-1776-01A 63 years, female, black or african american, stage:Stage IIIC, alive, 360 days 532.9
TCGA-29-1781-01A 69 years, female, white, stage:Stage IIIC, alive, 255 days 531.8
TCGA-25-1312-01A 69 years, female, white, stage:Stage IV, dead, 31 days 531.5
TCGA-24-0979-01A 53 years, female, white, stage:Stage IV, dead, 1264 days 529.6
TCGA-23-2084-01A 45 years, female, white, stage:Stage IV, dead, 1516 days 529.2
TCGA-24-2033-01A 87 years, female, white, stage:Stage IIIC, dead, 562 days 527.3
TCGA-24-2036-01A 50 years, female, white, stage:Stage IIIA, dead, 1947 days 526.9
TCGA-09-1669-01A 54 years, female, white, stage:Stage IIIA, alive, 928 days 525.9
TCGA-24-2267-01A 58 years, female, white, stage:Stage IIB, dead, 1446 days 524.7
TCGA-24-1423-01A 61 years, female, white, stage:Stage IIIC, alive, 190 days 523.8
TCGA-24-2288-01A 70 years, female, white, stage:Stage IIIC, dead, 25 days 523.1
TCGA-25-1329-01A 76 years, female, white, stage:Stage IIIC, dead, 457 days 522.7
TCGA-24-1567-01A 54 years, female, white, stage:Stage IIIB, dead, 524 days 520.9
TCGA-13-1407-01A 51 years, female, white, stage:Stage IIIC, alive, 2534 days 512.6
TCGA-13-0885-01A 70 years, female, white, stage:Stage IIIC, alive, 3388 days 508.6
TCGA-23-1118-01A 45 years, female, white, stage:Stage IIIC, alive, 2616 days 506.9
TCGA-13-1496-01A 65 years, female, white, stage:Stage IIIC, dead, 129 days 505.4
TCGA-24-2271-01A 55 years, female, asian, stage:Stage IIIC, dead, 962 days 505.4
TCGA-31-1951-01A 58 years, female, white, stage:Stage IIIC, alive, 684 days 500.5
TCGA-13-0714-01A 55 years, female, white, stage:Stage IV, dead, 189 days 493.2
TCGA-24-1846-01A 45 years, female, stage:Stage IIIC, alive, 133 days 487.2
TCGA-09-1662-01A 58 years, female, white, stage:Stage IV, dead, 2717 days 486.8
TCGA-24-1843-01A 66 years, female, white, stage:Stage IIIC, alive, 106 days 482.7
TCGA-13-0797-01A 49 years, female, white, stage:Stage IIIC, alive, 2121 days 480.0
TCGA-24-1464-01A 70 years, female, white, stage:Stage IIIC, dead, 379 days 478.2
TCGA-13-1498-01A 73 years, female, white, stage:Stage IIIC, dead, 2012 days 477.1
TCGA-30-1714-01A 68 years, female, white, stage:Stage IV, dead, 1158 days 468.6
TCGA-13-1509-01A 64 years, female, white, stage:Stage IV, alive, 2438 days 464.6
TCGA-61-2109-01A 40 years, female, white, stage:Stage IIIC, dead, 629 days 458.6
TCGA-36-1568-01A 52 years, female, stage:Stage IIIC, alive, 875 days 456.3
TCGA-24-1550-01A 49 years, female, white, stage:Stage IIIC, dead, 1249 days 453.1
TCGA-31-1944-01A 47 years, female, white, stage:Stage IIIC, alive, 1386 days 450.5
TCGA-25-1631-01A 73 years, female, white, stage:Stage IIIC, dead, 9 days 449.5
TCGA-24-1549-01A 58 years, female, white, stage:Stage IIIB, dead, 1721 days 445.5
TCGA-25-1322-01A 62 years, female, white, stage:Stage IV, dead, 91 days 438.2
TCGA-23-1120-01A 60 years, female, white, stage:Stage IIIC, alive, 130 days 437.7
TCGA-13-1409-01A 73 years, female, white, stage:Stage IIIC, dead, 1742 days 427.8
TCGA-61-2110-01A 56 years, female, white, stage:Stage IIIC, dead, 1354 days 427.6
TCGA-13-1403-01A 48 years, female, white, stage:Stage IIIC, dead, 2345 days 424.7
TCGA-13-A5FT-01A 67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days 423.9
TCGA-61-2000-01A 67 years, female, white, stage:Stage IIIC, alive, 441 days 414.4
TCGA-24-2298-01A 55 years, female, white, stage:Stage IIIC, dead, 1620 days 411.8
TCGA-24-2297-01A 56 years, female, white, stage:Stage IIIC, dead, 1699 days 410.3
TCGA-04-1651-01A 53 years, female, white, stage:Stage IIIC, dead, 1102 days 405.2
TCGA-24-1845-01A 42 years, female, white, stage:Stage IIIC, alive, 116 days 403.3
TCGA-29-1696-01A 43 years, female, white, stage:Stage IIIC, dead, 1032 days 396.6
TCGA-OY-A56Q-01A 78 years, female, black or african american, stage:Stage IIA, alive, 576 days 394.9
TCGA-24-1103-01A 50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days 394.5
TCGA-36-1570-01A 49 years, female, white, stage:Stage IIIC, alive, 655 days 393.6
TCGA-24-1426-01A 43 years, female, white, stage:Stage IIIC, alive, 163 days 387.9
TCGA-13-1408-01A 59 years, female, white, stage:Stage IIIC, dead, 1680 days 385.2
TCGA-24-1416-01A 34 years, female, white, stage:Stage IV, alive, 194 days 380.5
TCGA-VG-A8LO-01A 55 years, female, black or african american, stage:Stage IV, dead, 24 days 353.7
TCGA-10-0933-01A 77 years, female, white, stage:Stage IIIC, dead, 446 days 343.6
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OVARY SEROUS CYSTADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

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.

GABARAP 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.

: 299.96
Median expressioni

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.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 373.5
Number of samples 81
Samples
Sample Description pTPM
DO46591 58 years, female, NA, stage:III, dead, 195 days 761.2
DO46581 66 years, female, NA, stage:III, dead, 408 days 744.3
DO46346 54 years, female, NA, stage:III, dead, 1187 days 698.8
DO46370 54 years, female, NA, stage:III, dead, 1727 days 664.4
DO46523 52 years, female, NA, stage:IV, alive, 1873 days 587.4
DO46560 45 years, female, NA, stage:IV, dead, 286 days 587.1
DO46602 74 years, female, NA, stage:III, dead, 205 days 576.2
DO46606 73 years, female, NA, stage:III, alive, 804 days 568.6
DO46326 51 years, female, NA, stage:III, dead, 701 days 560.5
DO46329 52 years, female, NA, stage:III, dead, 1699 days 548.2
DO46382 62 years, female, NA, stage:IV, dead, 311 days 529.8
DO46400 70 years, female, NA, stage:III, dead, 719 days 527.8
DO46438 55 years, female, NA, stage:IV, alive, 2227 days 474.5
DO46508 50 years, female, NA, stage:III, dead, 2101 days 473.3
DO46576 75 years, female, NA, stage:III, alive, 133 days 470.9
DO46528 56 years, female, NA, stage:III, alive, 6139 days 458.8
DO46352 60 years, female, NA, stage:III, dead, 677 days 451.3
DO46566 78 years, female, NA, stage:III, dead, 673 days 449.7
DO46388 74 years, female, NA, stage:III, dead, 413 days 447.1
DO46334 77 years, female, NA, stage:III, dead, 496 days 437.1
DO46396 64 years, female, NA, stage:III, dead, 583 days 431.1
DO46448 45 years, female, NA, stage:III, dead, 654 days 429.2
DO46327 54 years, female, NA, stage:III, dead, 184 days 428.8
DO46588 74 years, female, NA, stage:III, dead, 438 days 428.0
DO46463 49 years, female, NA, stage:III, dead, 2451 days 411.2
DO46350 66 years, female, NA, stage:III, dead, 886 days 406.4
DO46611 52 years, female, NA, stage:III, dead, 734 days 405.5
DO46443 59 years, female, NA, stage:III, dead, 2464 days 403.6
DO46376 58 years, female, NA, stage:III, dead, 1430 days 402.1
DO46364 45 years, female, NA, stage:III, dead, 806 days 396.4
DO46354 73 years, female, NA, stage:III, dead, 843 days 395.5
DO46336 70 years, female, NA, stage:IV, dead, 664 days 391.3
DO46366 65 years, female, NA, stage:III, dead, 2054 days 391.1
DO46330 60 years, female, NA, stage:III, dead, 684 days 388.4
DO46571 61 years, female, NA, stage:III, dead, 243 days 378.7
DO46368 57 years, female, NA, stage:III, dead, 2879 days 371.4
DO46518 62 years, female, NA, stage:III, alive, 2960 days 369.6
DO46340 62 years, female, NA, stage:III, dead, 616 days 368.9
DO46402 77 years, female, NA, stage:III, dead, 511 days 364.1
DO46342 67 years, female, NA, stage:III, dead, 1398 days 363.1
DO46356 68 years, female, NA, stage:III, dead, 911 days 360.6
DO46392 48 years, female, NA, stage:III, dead, 628 days 354.1
DO46394 61 years, female, NA, stage:IV, dead, 1039 days 347.0
DO46348 58 years, female, NA, stage:IV, dead, 287 days 344.6
DO46458 67 years, female, NA, stage:IV, alive, 3787 days 344.2
DO46586 55 years, female, NA, stage:III, dead, 1019 days 339.3
DO46332 56 years, female, NA, stage:III, dead, 689 days 337.8
DO46362 61 years, female, NA, stage:III, dead, 1639 days 337.0
DO46398 66 years, female, NA, stage:III, alive, 437 days 332.8
DO46390 65 years, female, NA, stage:III, dead, 374 days 332.0
DO46453 66 years, female, NA, stage:III, dead, 3294 days 327.6
DO46597 60 years, female, NA, stage:III, dead, 393 days 327.2
DO46333 58 years, female, NA, stage:III, dead, 359 days 320.6
DO46358 60 years, female, NA, stage:III, dead, 423 days 318.7
DO46404 55 years, female, NA, stage:III, dead, 690 days 315.3
DO46338 59 years, female, NA, stage:III, dead, 596 days 305.9
DO46386 49 years, female, NA, stage:III, dead, 1162 days 303.7
DO46533 46 years, female, NA, stage:III, alive, 3667 days 296.2
DO46328 52 years, female, NA, stage:III, dead, 972 days 289.0
DO46360 58 years, female, NA, stage:IV, dead, 1759 days 285.9
DO46538 57 years, female, NA, stage:III, dead, 1527 days 281.9
DO46493 62 years, female, NA, stage:IV, alive, 839 days 278.2
DO46551 58 years, female, NA, stage:III, dead, 1055 days 274.9
DO46412 64 years, female, NA, stage:III, dead, 597 days 268.6
DO46374 69 years, female, NA, stage:III, dead, 1409 days 268.5
DO46344 46 years, female, NA, stage:III, dead, 642 days 267.5
DO46468 67 years, female, NA, stage:III, alive, 2776 days 259.1
DO46325 54 years, female, NA, stage:III, dead, 477 days 257.8
DO46568 66 years, female, NA, stage:III, dead, 320 days 249.8
DO46561 52 years, female, NA, stage:III, dead, 195 days 248.4
DO46432 56 years, female, NA, stage:III, alive, 2218 days 246.7
DO46378 59 years, female, NA, stage:III, alive, 843 days 243.1
DO46380 51 years, female, NA, stage:III, dead, 1423 days 231.1
DO46372 39 years, female, NA, stage:III, dead, 1326 days 228.2
DO46408 56 years, female, NA, stage:III, dead, 489 days 226.4
DO46384 55 years, female, NA, stage:III, dead, 614 days 217.7
DO46436 58 years, female, NA, stage:III, alive, 3193 days 208.3
DO46513 54 years, female, NA, stage:IV, dead, 1883 days 156.1
DO46331 72 years, female, NA, stage:III, dead, 612 days 155.8
DO46546 73 years, female, NA, stage:III, dead, 1889 days 129.9
DO46428 59 years, female, NA, stage:IV, alive, 2644 days 96.1
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 108
Samples
Sample ID Sample type nRPX
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2 Tumor 0.8
0745488e-0bfb-4d1f-8228-dedf76_D1_D2 Normal 0.8
efc971f8-54c5-4531-a792-705ecf_D2 Tumor 0.7
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2 Tumor 0.6
46c73531-f531-4ec3-97fe-b39d9d_D2 Tumor 0.6
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2 Tumor 0.5
161317f3-1a39-438e-af45-cd2502_D2 Tumor 0.4
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2 Tumor 0.4
7edfd606-4bee-4529-9fec-1ca7f0_D2 Normal 0.4
2ed8beb2-bc63-4bad-b5fe-1916a0_D2 Tumor 0.3
9e0d47e0-f633-468b-b82b-4d752d_D2 Tumor 0.2
76e77c6b-c80e-4391-bdbb-e1dcea_D2 Tumor 0.1
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2 Tumor 0.1
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2 Tumor 0.1
8e17b45e-6a06-4e4e-913d-7b1edb_D2 Tumor 0.0
10c2d629-0287-4511-ac25-f29031_D2 Tumor 0.0
3946a96c-e0ae-442f-83b4-a9350e_D2 Tumor 0.0
e3ebe010-cd31-4b5d-8fcb-b7103b_D2 Tumor -0.1
27f3ca2d-a86f-479d-8e7e-5307c7_D2 Tumor -0.1
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2 Tumor -0.2
51a4ce2f-4166-4c6b-a7e0-942d0a_D2 Tumor -0.2
35a345a4-e954-4c81-ae3f-7797cd_D2 Tumor -0.2
7069e990-4a4e-4984-a66d-4d835a_D2 Tumor -0.3
627e6e36-3dca-4ee5-9755-6f3510_D2 Tumor -0.3
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2 Normal -0.3
9c8e78bf-b03e-4ba0-9909-5ff070_D2 Tumor -0.3
1c9145ad-1981-4871-aa7e-8b11de_D2 Tumor -0.3
5ea22f5e-307b-491d-801f-8b7fa6_D2 Tumor -0.3
a583d3ff-8165-43e9-b764-23b7ef_D1_D2 Normal -0.3
af95e2c6-25c4-4ab8-bf06-3e15ff_D2 Tumor -0.4
05387aad-2a1f-42c2-8d6f-950598_D3 Tumor -0.4
1772e913-f62e-446a-8cf3-720348_D2 Tumor -0.4
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3 Tumor -0.5
50997c44-1c8b-4d34-b535-4a6cc2_D2 Tumor -0.5
15524912-685a-47ce-a824-567848_D2 Tumor -0.5
e23eb014-69c1-460a-b9d4-9786c8_D2 Normal -0.6
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2 Tumor -0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2 Tumor -0.6
52c064a7-78d9-4a1a-85b4-27c6d1_D2 Tumor -0.6
927f0958-db5a-4bc5-92b7-2a3695_D2 Tumor -0.7
eb3f3494-7057-4afe-b212-e6e9a3_D2 Tumor -0.7
285fed94-1495-448e-879b-b55de9_D2 Tumor -0.7
42d860a3-8a0c-4c44-a09a-9ad8cf_D2 Tumor -0.7
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2 Tumor -0.7
a03d1103-b809-42c4-ad5c-5aff58_D2 Tumor -0.7
2433b136-fc7b-4cea-b958-bc6efb_D2 Tumor -0.7
347e379b-77c0-4dd3-aa25-18c9d1_D2 Tumor -0.7
340a3769-3031-41ae-bb08-a2f696_D2 Normal -0.8
994f9b8e-46cb-413f-8ec8-2c2fed_D2 Normal -0.8
5c3971ee-87c7-4dff-b66e-f18892_D2 Tumor -0.8
092af714-b97a-457c-b0e9-8c20e8_D2 Normal -0.8
3490835c-c004-45ed-91f3-7c206f_D2 Tumor -0.8
49bd51fe-48a1-4828-b66e-b30c38_D2 Tumor -0.8
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2 Normal -0.8
69d552be-7cb2-4bb4-b602-a27b3e_D2 Tumor -0.8
61f76fe6-a1c6-41b8-bdc2-2f9209_D2 Normal -0.9
80873a0c-1f40-4d51-bab1-3f2071_D2 Tumor -0.9
7d953d1d-84b6-4ecd-b1d7-1ed865_D2 Tumor -0.9
6e209757-a7f4-45af-b5f3-2ebc02_D2 Normal -0.9
9b90eb78-2f50-4aeb-b010-d642f9_D2 Tumor -0.9
f6c215ea-5381-4521-bb61-be8e97_D2 Tumor -0.9
b22659b9-e12c-4725-a7db-a833de_D1_D2 Normal -1.0
c17b0ff9-9057-4848-a0cc-abb25f_D2 Tumor -1.0
79b60f32-6cca-4cb6-9a1e-22a3ac_D2 Tumor -1.0
08296da7-70ea-44df-8646-09f2cc_D2 Tumor -1.0
2563cb02-d58a-4286-8634-7502cd_D2 Tumor -1.0
1556af7e-c2ae-4fce-9aae-87c459_D1_D2 Normal -1.0
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2 Normal -1.0
e6850782-fd2a-4c53-b682-1852fe_D2 Tumor -1.1
62f5840e-6cd7-4200-b651-645e53_D2 Tumor -1.1
8d78194e-fbef-4819-a7b5-b73ae9_D2 Tumor -1.1
0cc794c3-5bf5-4621-b238-58a0f6_D2 Tumor -1.1
21efd60f-6a31-4b98-9477-16a905_D2 Normal -1.2
d109a3c0-350e-47f5-bda0-61899c_D2 Tumor -1.2
318d53c3-216b-4de1-a098-77d6dd_D2 Tumor -1.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2 Normal -1.3
256ac9f5-1e19-44b4-92fb-fef3fc_D2 Tumor -1.3
bd266bdd-12e4-42cb-9c49-911bfc_D2 Tumor -1.3
28d0abdb-f682-4bd3-9425-a9c508_D2 Tumor -1.3
6319b36b-533c-4e86-8e12-80552e_D3 Tumor -1.3
3fbf076a-824b-4eac-b6dc-bf5e59_D2 Normal -1.3
a3a26070-fb84-406a-8280-d555e6_D2 Normal -1.3
2115808b-6a0d-49bc-a8d7-b83bde_D2 Tumor -1.4
31c15e30-21d4-4843-bd4a-9cd0d8_D2 Normal -1.4
558333b0-ea23-4303-9e3c-4932b1_D2 Tumor -1.4
2f901c90-617e-46da-9fac-d68369_D2 Tumor -1.4
91b287fd-eadb-442d-abcd-20b741_D2 Tumor -1.4
3d3e1888-d67e-4c69-ba83-112d0f_D2 Tumor -1.4
eb0a53df-7620-4024-8d2d-051142_D2 Tumor -1.4
3a380577-c134-47ba-a1ce-988d7c_D2 Tumor -1.5
4ccb249a-6722-491e-97e9-e3b4e7_D2 Tumor -1.5
6530147a-efe9-4df6-ac2f-03ece3_D2 Tumor -1.5
fbb41c94-aabd-49cc-90b2-882c3e_D2 Tumor -1.5
e9d416e7-f661-400a-896e-388545_D2 Tumor -1.6
3e746bea-ed68-40e6-b348-6ddf08_D2 Normal -1.6
a8853382-b726-4ce8-98d5-ca89df_D2 Tumor -1.6
2224c03f-b7b1-4368-887e-2b4cdf_D2 Tumor -1.6
41d0619e-b299-42e2-ac32-29e784_D2 Tumor -1.6
d4791079-c826-4fc7-9d9b-ee20ba_D2 Tumor -1.6
1db5574d-aca7-403c-8100-6e705f_D2 Normal -1.6
1a10c200-3895-4648-b951-94f99f_D2 Tumor -1.7
2b4ce90c-8036-4207-ac3e-54a76f_D2 Tumor -1.7
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2 Tumor -1.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2 Tumor -1.7
2b73e01c-347a-4dae-a71d-752aeb_D2 Normal -1.9
fe83e13f-9754-403b-8f74-d6caf8_D2 Tumor -1.9
a65d8e76-640f-4341-a561-afbb57_D2 Normal -2.0
1b2ab076-c72f-4bbe-b9f9-657d24_D2 Tumor -2.2
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.

Pending cancer tissue analysis

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