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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TSPAN8 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.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
818.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4077.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
2734.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2627.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2516.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2470.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2359.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2221.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2003.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1989.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1944.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1886.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1862.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1852.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1824.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1772.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1744.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1734.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1718.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1674.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1653.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1610.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1603.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1595.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1581.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1506.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1480.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1455.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1413.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1387.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1386.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1371.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1368.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1359.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1298.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1256.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1244.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1235.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1233.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1230.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1227.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1223.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1218.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1215.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1212.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1211.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1204.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1189.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1183.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1165.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1148.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1142.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1142.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1141.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1139.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1128.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1128.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1119.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1101.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1081.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1079.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1067.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1059.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1058.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1052.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1049.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1039.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1036.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1021.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1016.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
997.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
995.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
984.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
976.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
976.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
967.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
966.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
955.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
951.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
924.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
909.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
905.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
894.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
892.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
888.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
885.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
880.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
879.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
873.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
869.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
867.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
866.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
862.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
862.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
860.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
859.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
850.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
844.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
843.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
840.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
839.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
834.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
834.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
833.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
824.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
816.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
812.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
812.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
806.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
804.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
804.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
802.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
801.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
798.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
794.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
788.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
776.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
773.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
768.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
762.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
751.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
738.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
736.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
735.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
715.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
705.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
701.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
700.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
688.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
688.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
688.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
683.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
682.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
682.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
680.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
678.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
674.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
671.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
671.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
670.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
669.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
668.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
665.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
662.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
660.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
656.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
645.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
630.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
620.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
619.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
618.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
617.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
616.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
616.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
612.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
605.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
601.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
599.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
591.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
587.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
579.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
575.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
569.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
568.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
564.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
562.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
560.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
558.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
556.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
554.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
550.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
541.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
539.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
533.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
527.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
525.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
522.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
520.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
517.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
495.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
493.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
489.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
483.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
477.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
474.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
474.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
457.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
454.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
453.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
451.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
449.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
448.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
443.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
436.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
431.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
429.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
416.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
412.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
411.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
411.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
408.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
405.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
400.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
385.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
379.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
376.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
374.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
371.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
370.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
368.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
367.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
365.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
365.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
358.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
353.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
350.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
341.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
340.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
337.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
332.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
326.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
315.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
304.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
304.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
292.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
289.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
284.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
283.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
281.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
278.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
277.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
273.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
266.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
261.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
258.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
242.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
236.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
231.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
231.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
220.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
219.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
219.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
201.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
198.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
191.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
188.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
186.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
174.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
164.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
154.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
136.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
93.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
73.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
52.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TSPAN8 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.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
379.7
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1815.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1551.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1119.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1053.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1041.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1027.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
996.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
991.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
980.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
923.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
911.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
906.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
891.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
880.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
865.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
865.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
862.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
856.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
830.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
828.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
827.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
820.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
818.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
811.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
810.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
809.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
799.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
776.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
776.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
766.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
754.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
750.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
749.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
746.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
742.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
730.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
728.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
723.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
715.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
712.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
712.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
708.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
707.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
702.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
702.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
699.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
690.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
690.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
690.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
689.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
680.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
677.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
676.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
675.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
672.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
671.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
667.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
666.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
665.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
665.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
663.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
659.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
653.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
653.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
650.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
648.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
645.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
644.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
640.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
639.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
638.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
636.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
633.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
630.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
628.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
624.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
621.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
614.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
609.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
605.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
600.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
597.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
593.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
588.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
586.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
581.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
578.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
577.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
574.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
571.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
567.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
565.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
564.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
563.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
563.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
560.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
558.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
556.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
555.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
554.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
548.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
544.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
542.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
542.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
541.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
539.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
536.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
528.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
524.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
520.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
515.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
513.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
509.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
504.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
503.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
501.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
498.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
497.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
496.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
495.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
495.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
488.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
486.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
482.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
475.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
472.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
469.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
461.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
458.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
458.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
456.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
455.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
453.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
453.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
449.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
448.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
448.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
447.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
445.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
443.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
442.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
442.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
440.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
440.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
439.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
436.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
435.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
433.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
430.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
430.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
428.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
428.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
427.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
424.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
424.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
424.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
423.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
422.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
422.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
421.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
420.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
419.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
419.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
418.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
418.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
417.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
416.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
414.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
413.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
413.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
413.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
410.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
409.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
408.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
403.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
401.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
401.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
400.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
400.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
399.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
395.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
393.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
393.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
392.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
389.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
389.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
388.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
388.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
387.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
387.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
383.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
382.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
381.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
381.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
380.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
380.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
379.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
379.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
378.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
378.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
377.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
377.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
376.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
374.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
372.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
372.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
368.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
366.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
365.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
365.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
365.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
364.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
364.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
364.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
364.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
362.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
362.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
361.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
360.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
359.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
359.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
359.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
357.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
355.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
355.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
354.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
353.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
353.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
353.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
352.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
352.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
351.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
351.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
350.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
350.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
347.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
347.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
346.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
346.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
345.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
344.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
340.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
339.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
339.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
338.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
337.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
336.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
335.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
334.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
334.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
331.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
331.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
331.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
329.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
328.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
328.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
327.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
326.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
325.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
324.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
323.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
322.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
322.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
321.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
319.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
316.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
314.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
312.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
311.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
310.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
310.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
309.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
309.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
309.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
306.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
305.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
305.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
304.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
303.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
303.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
301.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
301.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
300.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
300.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
299.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
298.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
298.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
298.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
297.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
296.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
292.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
291.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
291.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
291.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
290.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
290.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
288.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
284.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
283.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
282.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
281.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
281.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
281.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
280.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
279.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
279.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
277.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
276.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
276.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
276.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
268.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
268.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
267.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
266.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
265.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
265.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
264.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
263.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
262.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
261.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
260.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
260.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
259.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
258.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
257.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
257.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
256.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
256.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
254.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
254.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
254.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
254.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
253.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
250.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
249.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
248.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
248.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
243.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
242.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
242.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
240.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
240.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
240.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
235.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
234.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
233.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
233.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
232.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
230.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
230.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
230.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
229.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
228.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
228.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
228.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
226.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
225.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
224.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
223.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
222.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
221.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
221.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
219.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
218.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
217.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
216.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
215.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
214.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
214.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
213.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
212.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
212.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
211.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
210.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
210.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
209.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
208.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
205.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
204.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
204.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
201.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
200.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
199.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
195.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
193.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
192.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
192.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
190.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
190.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
188.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
188.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
188.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
187.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
186.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
184.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
183.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
181.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
181.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
180.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
179.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
178.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
178.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
176.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
174.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
174.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
171.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
171.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
170.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
169.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
169.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
169.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
168.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
167.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
167.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
164.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
164.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
163.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
163.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
161.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
159.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
158.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
158.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
158.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
155.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
150.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
149.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
148.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
146.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
145.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
144.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
143.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
142.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
141.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
141.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
140.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
138.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
138.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
137.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
137.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
137.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
134.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
134.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
131.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
131.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
127.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
124.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
124.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
123.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
122.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
121.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
118.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
118.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
113.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
113.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
110.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
110.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
110.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
110.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
108.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
107.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
104.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
103.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
100.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
99.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
99.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
95.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
94.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
90.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
88.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
85.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
83.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
79.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
76.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
73.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
73.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
67.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
66.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
64.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
21.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
12.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TSPAN8 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.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
726.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1811.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1730.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1558.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1512.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1472.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1434.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1392.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1362.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1358.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1267.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1106.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1087.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1059.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1054.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1053.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1029.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1019.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
996.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
990.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
987.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
963.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
944.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
937.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
934.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
913.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
897.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
878.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
868.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
848.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
844.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
843.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
839.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
820.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
755.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
745.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
726.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
720.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
719.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
719.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
713.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
709.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
704.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
682.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
653.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
649.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
637.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
630.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
629.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
619.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
607.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
595.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
590.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
587.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
562.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
556.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
553.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
548.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
512.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
511.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
499.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
488.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
480.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
477.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
476.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
450.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
448.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
448.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
440.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
436.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
429.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
406.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
405.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
404.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
393.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
380.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
377.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
374.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
367.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
337.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
322.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
274.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
246.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
240.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
232.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
209.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
174.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
152.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TSPAN8 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.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
340.6
Number of samples
207
Samples
Sample
Description
TPM
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
1253.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1162.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1105.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1017.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1001.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
985.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
881.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
869.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
839.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
828.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
825.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
786.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
779.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
762.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
740.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
734.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
728.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
728.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
724.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
719.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
704.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
704.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
676.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
672.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
658.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
654.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
646.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
637.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
623.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
576.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
570.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
567.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
558.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
546.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
546.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
541.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
539.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
537.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
484.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
460.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
452.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
448.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
443.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
442.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
439.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
433.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
433.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
427.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
424.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
417.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
414.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
410.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
409.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
402.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
402.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
399.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
398.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
398.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
395.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
393.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
391.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
389.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
383.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
381.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
379.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
377.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
372.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
363.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
354.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
350.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
348.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
345.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
341.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
338.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
335.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
330.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
327.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
326.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
324.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
322.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
318.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
315.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
314.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
309.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
309.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
307.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
301.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
297.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
295.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
295.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
295.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
295.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
291.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
291.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
291.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
287.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
287.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
284.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
283.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
282.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
272.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
271.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
270.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
267.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
267.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
266.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
265.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
264.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
264.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
261.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
259.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
259.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
258.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
256.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
255.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
254.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
254.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
251.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
249.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
248.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
248.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
248.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
247.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
245.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
245.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
244.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
243.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
242.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
239.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
239.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
237.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
236.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
234.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
234.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
234.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
230.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
229.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
229.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
226.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
222.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
220.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
217.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
215.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
213.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
213.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
212.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
211.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
210.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
208.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
206.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
206.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
202.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
202.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
201.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
200.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
200.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
200.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
200.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
199.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
190.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
189.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
188.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
185.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
181.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
181.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
179.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
177.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
163.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
163.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
157.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
155.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
154.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
151.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
149.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
140.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
140.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
138.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
137.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
137.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
134.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
128.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
125.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
120.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
119.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
118.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
115.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
114.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
112.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
112.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
107.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
104.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
97.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
97.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
92.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
86.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
86.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
82.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
81.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
77.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
71.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
71.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
70.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
65.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
1.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-2.2
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.