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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.
SH3BGRL3 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
526.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1920.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1757.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1483.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1201.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1191.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1180.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1066.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1053.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1046.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1045.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1036.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1013.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1006.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1005.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
986.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
985.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
980.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
912.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
879.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
879.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
865.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
863.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
863.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
862.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
861.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
858.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
854.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
822.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
796.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
791.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
786.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
783.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
766.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
765.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
765.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
755.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
755.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
754.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
750.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
749.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
742.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
739.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
731.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
731.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
729.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
726.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
724.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
719.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
711.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
708.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
704.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
702.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
697.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
694.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
690.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
689.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
687.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
675.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
669.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
667.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
660.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
658.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
654.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
646.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
643.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
642.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
640.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
637.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
637.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
634.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
632.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
632.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
625.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
623.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
622.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
621.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
621.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
620.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
620.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
617.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
617.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
616.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
616.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
609.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
608.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
603.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
592.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
584.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
583.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
582.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
582.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
577.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
575.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
566.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
563.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
563.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
562.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
560.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
556.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
553.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
552.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
543.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
541.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
536.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
531.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
528.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
524.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
522.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
519.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
518.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
518.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
517.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
514.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
513.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
509.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
505.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
504.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
503.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
502.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
497.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
497.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
494.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
493.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
490.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
485.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
483.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
481.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
480.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
479.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
476.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
473.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
472.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
471.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
466.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
466.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
464.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
462.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
462.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
459.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
457.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
456.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
455.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
447.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
439.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
439.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
438.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
437.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
429.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
427.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
424.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
424.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
422.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
421.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
418.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
417.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
415.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
414.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
413.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
412.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
410.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
409.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
408.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
407.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
406.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
405.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
397.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
393.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
391.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
388.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
383.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
380.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
378.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
377.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
377.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
374.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
374.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
373.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
371.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
370.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
368.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
366.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
363.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
363.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
362.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
360.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
356.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
354.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
349.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
347.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
345.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
343.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
343.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
341.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
340.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
340.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
340.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
337.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
336.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
331.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
329.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
327.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
327.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
320.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
315.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
315.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
315.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
312.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
310.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
308.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
306.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
306.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
300.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
299.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
299.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
298.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
295.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
291.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
290.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
288.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
286.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
285.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
285.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
282.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
280.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
271.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
264.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
262.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
262.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
250.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
250.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
247.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
246.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
244.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
242.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
241.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
226.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
224.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
217.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
216.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
216.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
202.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
197.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
188.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
186.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
174.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
158.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
155.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
154.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
137.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
128.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
114.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
114.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
100.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
SH3BGRL3 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
426.8
Number of samples
486
Samples
Sample
Description
TPM
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1109.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
993.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
967.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
945.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
938.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
936.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
916.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
879.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
876.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
858.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
847.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
847.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
817.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
810.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
776.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
769.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
752.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
728.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
719.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
718.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
709.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
699.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
696.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
682.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
676.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
673.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
666.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
665.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
664.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
664.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
663.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
662.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
658.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
650.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
648.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
648.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
646.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
645.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
639.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
639.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
634.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
634.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
634.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
633.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
630.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
629.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
626.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
622.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
622.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
619.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
619.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
618.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
616.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
615.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
615.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
615.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
613.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
605.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
604.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
603.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
602.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
599.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
598.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
598.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
594.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
593.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
593.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
586.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
585.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
584.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
582.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
578.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
576.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
573.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
570.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
568.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
566.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
566.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
565.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
563.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
563.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
561.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
560.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
559.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
559.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
558.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
556.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
555.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
554.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
554.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
553.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
553.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
553.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
551.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
547.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
547.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
546.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
545.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
544.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
544.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
542.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
541.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
538.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
538.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
536.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
535.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
534.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
532.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
530.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
527.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
525.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
525.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
524.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
523.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
521.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
520.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
520.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
520.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
519.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
518.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
517.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
515.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
512.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
509.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
506.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
506.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
506.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
505.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
504.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
502.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
500.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
500.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
500.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
500.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
500.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
497.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
497.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
497.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
495.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
493.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
493.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
492.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
490.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
490.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
489.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
487.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
487.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
487.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
486.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
485.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
483.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
482.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
482.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
480.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
480.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
480.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
479.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
476.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
476.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
476.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
472.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
471.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
470.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
469.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
469.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
468.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
467.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
465.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
464.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
464.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
461.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
460.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
460.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
459.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
458.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
457.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
457.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
454.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
454.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
453.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
452.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
450.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
449.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
447.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
446.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
445.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
445.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
440.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
439.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
439.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
438.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
438.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
438.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
438.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
437.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
436.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
434.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
433.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
433.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
433.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
432.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
431.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
431.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
430.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
430.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
428.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
427.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
427.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
426.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
426.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
426.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
424.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
423.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
422.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
422.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
422.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
422.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
421.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
419.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
419.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
418.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
418.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
418.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
417.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
417.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
417.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
416.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
414.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
414.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
413.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
413.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
412.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
411.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
411.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
409.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
408.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
408.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
406.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
406.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
405.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
403.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
401.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
401.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
401.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
401.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
400.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
400.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
399.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
397.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
396.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
395.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
394.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
393.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
393.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
392.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
392.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
391.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
390.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
389.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
389.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
389.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
388.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
386.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
386.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
386.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
386.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
383.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
383.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
382.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
380.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
380.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
380.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
380.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
379.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
378.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
378.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
378.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
377.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
377.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
376.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
376.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
375.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
374.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
374.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
373.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
373.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
372.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
371.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
369.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
369.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
368.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
368.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
368.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
368.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
368.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
367.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
367.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
367.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
366.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
364.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
364.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
364.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
364.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
363.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
363.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
362.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
361.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
361.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
361.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
360.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
360.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
359.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
358.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
358.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
358.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
357.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
357.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
357.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
356.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
355.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
355.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
355.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
355.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
351.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
350.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
349.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
349.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
349.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
348.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
347.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
347.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
347.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
347.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
346.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
345.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
345.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
344.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
343.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
341.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
341.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
338.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
337.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
336.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
336.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
336.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
335.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
335.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
335.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
333.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
333.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
332.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
330.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
330.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
329.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
328.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
327.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
327.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
326.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
325.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
323.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
321.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
321.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
321.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
321.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
321.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
320.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
320.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
319.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
317.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
316.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
314.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
314.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
313.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
313.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
313.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
313.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
312.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
312.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
311.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
311.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
311.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
310.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
308.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
308.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
307.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
307.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
303.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
303.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
303.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
302.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
302.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
301.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
301.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
300.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
300.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
297.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
296.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
295.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
295.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
294.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
293.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
293.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
292.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
292.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
291.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
290.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
290.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
289.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
289.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
288.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
288.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
287.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
285.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
284.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
282.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
280.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
279.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
278.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
277.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
277.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
277.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
276.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
276.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
271.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
266.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
265.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
265.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
265.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
262.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
258.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
257.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
257.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
255.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
255.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
254.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
254.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
253.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
252.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
252.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
251.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
248.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
247.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
246.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
245.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
243.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
242.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
239.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
239.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
237.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
237.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
237.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
237.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
235.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
233.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
232.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
229.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
227.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
225.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
223.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
220.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
219.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
219.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
218.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
218.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
216.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
214.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
214.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
214.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
213.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
211.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
209.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
202.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
201.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
197.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
194.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
187.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
184.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
183.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
180.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
176.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
172.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
168.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
160.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
155.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
23.3
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.
SH3BGRL3 is potential prognostic, high expression is unfavorable 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
451.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1099.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1030.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
916.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
876.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
853.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
833.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
827.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
761.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
710.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
689.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
671.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
663.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
662.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
613.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
612.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
596.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
591.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
585.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
559.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
550.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
542.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
541.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
537.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
530.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
528.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
512.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
497.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
490.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
476.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
473.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
466.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
462.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
456.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
455.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
451.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
450.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
443.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
439.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
431.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
424.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
422.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
421.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
419.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
415.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
414.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
409.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
404.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
404.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
399.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
399.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
395.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
390.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
382.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
379.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
378.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
378.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
374.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
371.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
367.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
366.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
364.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
360.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
350.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
345.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
338.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
338.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
328.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
327.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
325.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
311.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
307.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
289.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
288.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
286.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
275.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
263.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
236.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
231.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
231.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
228.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
211.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
204.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
199.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
193.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
193.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
184.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 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.
SH3BGRL3 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
371.7
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1233.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
884.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
863.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
858.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
764.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
752.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
714.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
674.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
668.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
648.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
633.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
625.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
625.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
618.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
616.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
598.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
587.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
580.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
579.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
578.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
546.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
526.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
522.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
519.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
518.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
516.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
516.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
511.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
509.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
505.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
505.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
504.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
501.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
500.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
482.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
480.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
471.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
470.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
464.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
455.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
454.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
452.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
449.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
449.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
446.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
445.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
445.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
444.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
443.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
442.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
440.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
440.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
439.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
438.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
438.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
437.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
435.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
431.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
426.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
425.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
423.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
422.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
422.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
420.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
420.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
419.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
414.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
411.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
411.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
409.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
407.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
399.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
396.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
396.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
393.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
391.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
390.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
390.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
390.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
387.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
386.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
386.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
379.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
379.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
376.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
375.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
375.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
370.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
369.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
369.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
366.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
364.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
360.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
360.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
359.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
357.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
354.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
352.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
352.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
350.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
349.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
349.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
348.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
348.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
346.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
345.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
343.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
342.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
340.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
336.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
335.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
334.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
334.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
333.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
331.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
331.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
331.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
330.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
330.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
330.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
328.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
326.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
322.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
322.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
321.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
321.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
319.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
319.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
317.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
317.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
316.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
314.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
312.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
312.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
311.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
309.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
307.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
306.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
305.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
304.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
302.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
300.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
300.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
292.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
286.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
283.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
282.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
278.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
277.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
277.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
276.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
276.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
274.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
273.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
266.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
265.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
263.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
263.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
263.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
262.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
262.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
262.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
257.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
256.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
251.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
250.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
248.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
246.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
246.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
244.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
241.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
240.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
238.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
236.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
232.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
231.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
229.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
225.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
225.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
224.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
222.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
215.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
214.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
213.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
211.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
210.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
209.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
209.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
208.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
207.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
205.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
200.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
198.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
194.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
190.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
186.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
182.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
182.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
182.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
180.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
176.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
171.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
169.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
166.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
141.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
137.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
1.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.9
963fc8db-f412-4427-a198-23f660_D2
Normal
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.5
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.