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BTF3
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  • BTF3
CANCER COLORECTAL 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
COAD TCGA COAD VALIDATION READ TCGA READ VALIDATION PROTEIN COAD CPTAC PROTEIN EXPRESSION
ANTIBODIES
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Dictionary
Colorectal cancer
Human cancer
Colon adenocarcinoma
Rectum adenocarcinoma
COLON ADENOCARCINOMA (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.

BTF3 is not prognostic in Colon Adenocarcinoma (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.

: 1033.59
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 929.0
Number of samples 254
Samples
Sample Description pTPM
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 1881.2
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 1873.5
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 1835.7
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 1772.3
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 1670.8
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 1640.6
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 1578.0
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 1553.6
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 1537.3
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 1512.5
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 1441.8
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 1405.7
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 1369.5
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 1364.6
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 1342.4
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 1340.6
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 1340.5
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 1336.6
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 1297.2
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 1294.9
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 1293.4
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 1285.0
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 1284.4
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 1271.9
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 1270.8
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 1249.3
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 1235.4
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 1228.3
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 1219.1
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 1216.0
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 1213.7
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 1205.8
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 1204.9
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 1203.0
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 1192.0
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 1179.4
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 1174.5
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 1168.9
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 1164.6
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 1160.5
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 1159.2
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 1157.4
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 1157.0
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 1151.3
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 1144.2
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 1128.8
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 1128.5
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 1128.5
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 1121.9
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 1120.2
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 1112.8
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 1102.2
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 1100.2
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 1099.3
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 1097.4
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 1097.1
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 1093.7
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 1091.5
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 1087.8
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 1085.8
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 1084.9
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 1084.0
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 1078.0
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 1076.2
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 1066.8
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 1066.1
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 1061.0
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 1050.9
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 1050.2
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 1049.6
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 1044.5
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 1042.3
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 1040.6
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 1037.3
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 1034.3
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 1032.9
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 1032.1
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 1027.4
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 1022.5
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 1022.0
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 1021.8
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 1020.4
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 1010.0
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 1007.8
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 1007.6
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 1007.1
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 1004.3
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 1003.6
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 999.9
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 999.8
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 998.4
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 991.6
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 990.9
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 990.9
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 990.2
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 989.1
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 988.5
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 988.3
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 987.4
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 987.0
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 986.5
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 979.6
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 976.3
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 971.1
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 965.5
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 964.4
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 962.9
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 962.7
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 960.9
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 960.2
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 959.0
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 954.8
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 953.8
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 948.6
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 948.5
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 943.9
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 943.4
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 932.5
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 926.9
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 925.6
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 924.6
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 923.6
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 921.9
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 921.3
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 920.4
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 917.5
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 916.1
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 915.4
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 908.0
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 906.9
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 906.6
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 904.4
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 904.1
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 903.5
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 896.1
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 894.7
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 894.3
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 885.3
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 877.7
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 875.3
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 873.3
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 868.6
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 863.5
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 862.1
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 861.8
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 860.1
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 858.3
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 856.5
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 855.0
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 854.2
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 854.2
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 852.6
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 850.3
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 848.6
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 845.0
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 838.5
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 821.4
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 810.7
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 806.5
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 804.1
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 802.4
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 800.3
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 795.2
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 794.3
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 789.5
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 787.8
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 786.4
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 785.4
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 784.5
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 781.5
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 780.3
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 779.9
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 776.3
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 775.2
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 774.5
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 771.9
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 770.0
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 766.5
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 762.0
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 760.6
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 757.9
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 751.3
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 751.0
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 750.8
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 748.2
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 747.0
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 746.5
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 745.5
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 743.8
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 743.6
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 742.6
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 735.4
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 735.1
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 725.6
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 725.3
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 725.0
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 719.6
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 718.8
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 711.3
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 708.1
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 707.5
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 707.5
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 702.9
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 697.0
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 695.5
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 694.8
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 693.5
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 693.4
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 688.6
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 685.5
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 683.8
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 682.4
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 681.6
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 678.7
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 678.1
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 674.9
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 664.2
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 657.9
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 656.9
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 654.4
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 651.5
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 650.0
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 646.4
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 640.4
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 638.9
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 638.8
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 632.4
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 630.2
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 625.2
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 617.2
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 617.2
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 614.8
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 611.2
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 609.5
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 605.3
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 597.2
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 581.3
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 579.5
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 578.6
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 568.8
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 560.3
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 548.5
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 546.2
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 545.5
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 542.1
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 537.2
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 532.8
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 531.3
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 528.4
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 518.4
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 506.8
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 463.0
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 454.7
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 446.9
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COLON ADENOCARCINOMA (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.

BTF3 is not prognostic in Colon Adenocarcinoma (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.

: 654.48
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 740.8
Number of samples 486
Samples
Sample Description pTPM
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 1282.2
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 1277.2
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 1233.8
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 1163.7
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 1139.8
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 1132.1
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 1126.8
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 1124.2
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 1117.6
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 1117.5
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 1114.1
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 1111.9
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 1110.4
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 1109.4
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 1100.0
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 1097.0
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 1096.1
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 1094.5
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 1093.7
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 1090.1
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 1084.4
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 1072.0
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 1067.6
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 1060.7
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 1056.0
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 1053.5
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 1036.7
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 1027.0
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 1023.9
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 1019.0
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 1017.1
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 1011.0
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 1009.4
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 1009.2
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 995.0
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 990.6
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 988.0
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 985.5
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 985.1
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 981.9
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 981.6
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 980.7
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 975.8
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 975.6
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 973.1
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 972.9
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 967.6
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 967.6
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 963.2
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 962.5
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 960.6
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 958.4
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 957.8
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 951.7
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 950.4
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 948.8
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 943.8
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 943.1
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 943.1
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 942.1
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 941.8
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 940.9
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 939.7
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 938.7
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 933.9
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 933.9
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 933.1
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 931.4
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 929.6
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 927.2
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 926.8
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 926.4
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 925.8
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 923.0
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 922.4
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 921.5
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 920.6
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 920.4
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 919.0
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 915.4
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 913.3
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 913.2
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 912.0
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 908.8
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 907.3
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 906.0
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 904.1
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 903.9
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 903.7
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 903.7
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 902.6
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 898.5
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 898.0
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 897.0
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 896.7
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 896.6
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 896.3
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 896.0
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 895.1
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 892.9
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 890.5
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 890.5
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 888.4
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 887.5
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 887.1
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 886.5
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 885.2
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 885.2
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 883.4
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 880.2
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 877.1
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 875.5
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 875.0
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 874.6
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 873.9
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 872.4
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 872.0
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 871.3
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 869.7
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 867.2
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 866.4
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 865.9
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 864.9
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 861.6
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 861.0
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 860.9
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 860.6
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 860.4
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 859.8
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 857.5
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 856.3
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 856.1
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 856.0
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 855.8
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 854.4
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 853.5
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 852.5
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 852.4
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 851.9
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 851.6
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 850.5
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 850.5
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 850.3
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 849.3
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 846.6
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 846.4
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 846.2
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 843.8
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 843.0
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 841.8
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 841.6
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 839.9
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 839.1
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 838.6
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 837.6
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 836.0
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 833.6
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 829.9
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 829.3
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 829.3
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 828.3
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 828.0
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 827.6
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 826.7
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 823.3
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 822.9
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 821.4
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 820.1
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 819.9
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 819.6
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 818.1
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 817.8
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 817.6
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 814.4
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 813.8
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 812.5
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 811.4
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 811.4
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 811.3
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 809.9
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 808.8
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 808.6
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 806.9
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 805.6
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 805.4
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 803.5
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 803.3
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 802.6
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 802.5
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 801.4
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 801.3
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 801.1
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 800.8
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 799.9
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 799.5
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 798.2
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 798.1
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 798.0
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 796.5
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 795.7
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 795.6
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 790.9
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 790.8
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 789.8
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 789.5
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 788.7
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 788.6
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 788.0
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 787.7
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 786.2
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 785.5
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 785.1
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 784.5
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 781.5
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 779.7
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 777.5
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 775.5
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 774.7
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 772.7
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 771.7
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 771.2
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 770.9
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 768.5
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 768.0
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 766.7
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 766.0
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 763.3
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 761.4
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 759.9
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 759.2
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 758.7
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 758.7
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 758.1
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 756.8
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 755.1
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 753.4
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 752.9
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 751.0
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 750.5
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 750.3
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 748.2
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 748.1
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 747.7
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 746.4
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 746.2
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 745.5
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 744.7
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 744.4
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 742.8
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 741.7
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 741.4
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 741.2
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 740.4
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 740.0
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 739.0
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 738.7
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 738.4
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 735.7
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 735.4
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 735.3
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 735.2
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 734.2
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 733.6
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 733.0
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 732.9
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 731.9
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 731.7
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 731.4
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 727.0
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 721.7
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 720.7
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 719.2
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 718.3
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 717.5
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 716.5
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 714.8
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 709.9
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 709.6
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 707.0
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 706.9
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 705.5
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 705.5
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 705.3
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 703.4
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 703.3
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 703.0
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 700.5
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 699.7
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 699.3
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 698.5
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 697.0
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 695.2
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 693.2
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 693.1
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 692.4
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 691.4
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 688.9
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 688.6
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 687.4
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 687.2
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 686.5
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 686.1
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 685.9
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 685.1
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 683.8
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 683.4
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 682.0
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 681.9
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 680.3
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 680.2
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 679.5
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 678.2
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 677.6
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 676.4
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 673.2
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 672.6
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 672.5
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 672.4
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 669.8
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 667.4
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 663.4
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 661.5
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 658.6
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 658.3
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 658.2
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 656.3
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 655.9
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 655.5
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 655.2
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 654.8
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 654.6
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 654.3
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 653.3
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 652.3
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 650.4
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 648.8
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 647.5
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 647.0
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 646.8
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 646.4
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 645.8
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 645.2
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 645.1
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 644.6
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 644.2
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 643.4
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 642.6
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 641.8
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 641.6
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 640.8
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 639.6
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 636.4
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 635.9
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 630.0
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 628.6
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 628.0
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 623.4
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 621.5
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 621.1
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 621.0
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 620.1
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 619.1
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 618.7
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 616.5
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 616.3
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 616.2
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 615.4
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 614.7
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 613.3
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 610.6
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 610.3
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 609.7
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 608.0
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 604.7
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 603.5
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 602.9
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 600.2
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 598.9
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 592.2
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 592.2
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 589.6
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 589.4
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 588.9
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 586.1
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 584.9
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 584.7
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 583.0
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 582.7
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 582.4
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 579.9
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 578.9
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 577.7
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 577.4
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 576.9
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 572.9
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 572.7
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 566.4
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 566.4
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 561.9
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 561.4
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 559.5
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 554.0
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 553.7
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 553.2
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 552.6
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 549.8
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 548.8
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 548.3
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 547.7
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 547.1
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 546.8
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 539.0
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 538.6
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 538.1
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 537.8
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 536.7
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 533.1
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 531.0
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 530.3
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 528.3
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 524.2
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 523.5
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 521.3
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 521.0
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 520.2
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 519.5
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 514.7
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 514.3
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 513.6
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 507.4
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 507.3
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 504.1
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 503.3
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 502.3
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 495.6
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 493.7
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 492.9
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 490.6
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 489.6
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 488.5
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 486.6
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 485.6
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 484.3
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 483.4
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 481.3
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 478.0
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 476.1
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 475.5
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 470.6
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 465.3
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 465.2
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 464.5
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 461.7
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 461.0
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 451.2
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 448.4
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 447.2
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 445.5
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 440.4
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 439.2
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 438.0
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 437.9
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 437.6
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 428.1
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 425.7
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 423.4
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 423.1
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 410.8
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 405.0
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 404.3
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 393.6
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 391.4
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 390.0
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 376.3
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 373.7
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 369.1
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 365.3
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 360.3
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 343.8
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 341.0
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 336.5
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 330.0
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 282.5
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 274.0
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 234.4
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 55.5
Show allShow less
RECTUM ADENOCARCINOMA (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.

BTF3 is not prognostic in Rectum Adenocarcinoma (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.

: 747.01
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 924.6
Number of samples 88
Samples
Sample Description pTPM
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 1524.3
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 1389.4
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 1360.9
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 1338.4
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 1307.4
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 1304.8
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 1255.8
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 1253.6
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 1251.8
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 1246.2
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 1202.5
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 1197.5
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 1190.0
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 1189.7
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 1188.8
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 1172.0
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 1162.3
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 1161.1
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 1154.5
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 1135.2
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 1125.5
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 1122.2
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 1098.6
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 1097.4
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 1094.0
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 1091.5
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 1088.2
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 1083.4
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 1079.8
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 1079.3
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 1072.7
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 1057.5
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 1031.5
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 1031.2
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 1021.3
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 1019.6
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 1011.5
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 1005.3
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 998.3
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 995.6
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 994.1
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 986.4
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 968.8
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 968.3
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 968.1
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 950.5
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 936.2
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 928.8
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 928.4
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 919.6
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 918.8
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 904.8
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 899.1
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 896.5
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 890.9
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 882.4
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 881.3
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 877.5
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 858.8
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 855.3
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 845.5
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 794.3
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 794.1
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 778.6
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 747.0
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 744.7
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 743.7
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 715.2
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 699.5
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 692.2
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 668.0
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 665.1
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 661.5
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 657.8
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 621.6
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 612.0
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 554.1
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 552.7
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 541.1
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 511.7
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 499.8
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 480.7
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 479.5
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 430.9
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 430.8
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 354.4
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 328.5
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 159.0
Show allShow less
RECTUM ADENOCARCINOMA (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.

BTF3 is not prognostic in Rectum Adenocarcinoma (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.

: 492.4
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 665.3
Number of samples 207
Samples
Sample Description pTPM
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 1274.0
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 1203.2
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 1174.7
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 1151.7
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 1127.1
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 1113.5
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 1108.0
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 1075.6
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 1072.3
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 1063.1
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 1042.8
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 1029.9
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 1019.2
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 993.7
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 989.2
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 981.3
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 961.2
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 956.3
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 948.0
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 946.4
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 929.1
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 926.1
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 920.0
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 917.0
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 917.0
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 915.6
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 909.8
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 890.9
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 887.7
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 880.5
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 874.9
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 869.3
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 862.7
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 859.4
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 856.2
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 838.9
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 837.7
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 834.8
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 828.5
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 827.9
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 823.8
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 811.4
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 808.6
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 808.6
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 806.4
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 806.0
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 799.8
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 798.5
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 796.1
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 794.2
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 792.4
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 785.3
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 783.3
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 774.0
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 773.5
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 771.9
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 763.8
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 763.7
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 759.7
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 759.4
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 754.7
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 752.8
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 750.4
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 748.9
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 746.8
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 743.4
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 741.7
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 738.5
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 729.7
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 726.9
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 726.7
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 720.8
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 718.1
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 717.1
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 716.9
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 716.4
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 713.7
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 710.6
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 708.9
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 708.2
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 707.6
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 703.6
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 703.5
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 702.9
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 698.2
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 697.8
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 690.9
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 690.7
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 682.6
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 680.2
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 677.0
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 672.9
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 670.6
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 669.4
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 662.1
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 661.7
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 660.4
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 660.0
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 657.4
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 657.2
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 655.7
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 655.3
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 653.8
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 652.5
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 651.8
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 651.6
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 643.6
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 643.5
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 643.1
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 641.7
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 641.5
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 639.1
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 638.1
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 634.0
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 628.7
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 627.0
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 619.0
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 617.6
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 612.7
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 611.5
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 609.9
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 609.9
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 603.5
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 600.1
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 596.6
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 591.7
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 591.4
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 590.0
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 586.7
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 585.3
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 583.7
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 582.8
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 582.1
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 578.3
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 577.0
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 575.9
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 573.5
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 570.6
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 569.1
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 567.3
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 567.3
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 565.3
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 562.8
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 562.3
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 561.2
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 561.1
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 555.5
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 541.4
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 538.6
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 536.5
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 532.5
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 528.1
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 517.7
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 517.7
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 514.6
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 508.9
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 506.8
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 501.5
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 500.1
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 495.2
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 493.1
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 492.8
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 492.0
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 491.1
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 490.4
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 487.6
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 487.5
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 486.3
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 485.3
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 485.3
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 484.3
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 483.7
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 482.9
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 481.9
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 474.7
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 473.8
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 473.8
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 471.9
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 469.3
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 468.4
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 461.5
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 457.4
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 448.7
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 440.2
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 437.3
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 436.3
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 434.4
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 433.6
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 432.8
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 430.2
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 423.0
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 416.6
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 416.0
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 412.5
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 412.2
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 388.1
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 387.3
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 381.0
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 363.4
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 355.8
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 355.5
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 330.9
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 317.1
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 291.3
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 205.2
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 201.7
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 49.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor 0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor 0.6
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor 0.6
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor 0.6
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 0.5
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor 0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor 0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor 0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor 0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor 0.4
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor 0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor 0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor 0.3
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor 0.3
a27cf22d-836e-49a7-802f-47c1db_D2 Normal 0.3
43192517-085e-450e-9481-0a6713_D3 Tumor 0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor 0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor 0.3
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor 0.3
bed27f66-ef3b-4868-b4ad-205018_D2 Normal 0.3
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor 0.3
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor 0.3
8cc7e656-0152-4359-8566-0581c3 Tumor 0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal 0.3
41a04113-2061-4923-bca5-da586c_D2 Normal 0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor 0.2
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor 0.2
820a3f08-5bb1-44b3-a133-ee167e_D2 Tumor 0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor 0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2 Tumor 0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor 0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor 0.2
3a17283c-a0f4-4514-956b-080d11_D2 Normal 0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2 Normal 0.2
c65afd57-530c-4366-b2c8-463a46_D2 Tumor 0.2
573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor 0.2
a84149b1-8453-45f0-8400-d7b12f_D2 Normal 0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3 Tumor 0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2 Normal 0.2
853ecf90-71e6-4156-a56f-a34b65_D2 Normal 0.2
e3c012aa-51c2-42b0-a478-bd620f_D2 Normal 0.2
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor 0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal 0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2 Normal 0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3 Tumor 0.2
54565eae-05c5-4dae-bde9-ae4874_D2 Normal 0.2
3d797911-d476-436f-9cce-33e20c_D8 Tumor 0.2
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor 0.1
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal 0.1
47d2a435-b203-4438-ae72-53c424_D2 Normal 0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor 0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor 0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3 Tumor 0.1
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor 0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor 0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor 0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2 Normal 0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.1
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor 0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2 Normal 0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2 Normal 0.1
348f6009-e1be-44d2-a093-9ca844_D2 Normal 0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor 0.1
1136008b-97ce-49b0-bf24-abbea6_D2 Normal 0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal 0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2 Normal 0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2 Normal 0.1
411d9597-c785-4de5-b449-29a80d_D2 Normal 0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2 Tumor 0.1
02cde0c0-6840-495b-9b11-007d82_D2 Normal 0.1
b3696374-c6c0-49dd-833e-596e26_D2 Normal 0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2 Normal 0.1
5557e478-3e6f-475b-8acc-1b4159_D8 Tumor 0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3 Tumor 0.1
092c5a37-325b-4181-b230-2d8fff_D2 Tumor 0.1
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor 0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor 0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor 0.1
377cdd37-d1bd-4042-997e-478a0f_D2 Normal 0.1
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor 0.1
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal 0.0
0c330883-ab58-4a5a-bff7-07d283_D2 Normal 0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal 0.0
62627b73-1763-48bc-8eea-e5bd76_D2 Normal 0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor 0.0
799893aa-d523-4a08-9ea7-611cca_D3 Tumor 0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2 Normal 0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2 Tumor 0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3 Tumor 0.0
4b263734-430f-41dc-a296-8691f0_D3 Tumor 0.0
3765c09a-fff7-4b37-bf2b-452b23_D2 Normal 0.0
64ed43a2-f083-43cb-9d0d-118495_D2 Normal 0.0
5de06adb-e00d-4114-8d76-04bd30_D2 Normal 0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2 Normal 0.0
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26acb513-3ffe-49ad-8581-9dfc97_D2 Normal -0.1
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233ec093-9a30-4ef4-a12c-91757e_D2 Normal -0.2
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176d1b96-8c6e-44fe-8a32-e15194_D2 Normal -0.2
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2666323d-522f-4f0a-823c-ff8866_D2 Normal -0.3
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9bf309bc-0fb6-4060-aba2-888eb3_D2 Tumor -0.5
0f238226-864c-4de0-8c61-01e729_D2 Tumor -0.5
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor -0.5
903d5fe0-970a-47be-a97f-3cc914_D2 Normal -0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2 Tumor -0.7
Show allShow less
COLORECTAL 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.


Antibody HPA056420

Antibody CAB013007
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Adenocarcinoma, NOS

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