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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.
SPINT2 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
487.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1033.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1016.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
990.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
935.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
885.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
840.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
824.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
822.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
821.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
796.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
788.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
775.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
775.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
761.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
757.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
754.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
730.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
726.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
712.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
702.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
691.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
689.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
683.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
680.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
678.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
673.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
672.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
662.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
661.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
648.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
647.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
642.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
641.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
634.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
631.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
623.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
618.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
613.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
606.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
603.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
599.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
597.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
596.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
596.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
593.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
593.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
592.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
592.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
592.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
586.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
582.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
582.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
581.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
580.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
578.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
577.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
575.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
573.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
573.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
573.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
569.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
568.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
565.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
564.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
564.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
562.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
560.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
560.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
553.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
552.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
552.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
549.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
547.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
547.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
544.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
541.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
540.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
539.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
538.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
536.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
535.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
534.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
532.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
531.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
530.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
530.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
527.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
526.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
523.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
522.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
522.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
521.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
518.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
517.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
515.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
510.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
507.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
507.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
505.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
505.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
505.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
500.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
499.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
497.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
497.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
496.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
496.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
494.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
494.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
493.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
490.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
489.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
489.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
487.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
487.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
485.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
485.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
484.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
484.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
483.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
481.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
481.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
478.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
474.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
471.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
466.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
463.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
463.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
463.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
461.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
461.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
460.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
458.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
456.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
455.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
452.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
452.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
450.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
449.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
449.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
448.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
448.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
446.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
446.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
446.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
442.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
442.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
442.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
441.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
440.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
439.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
436.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
436.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
436.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
435.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
434.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
432.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
432.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
430.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
429.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
429.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
428.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
426.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
423.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
423.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
420.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
419.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
419.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
415.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
414.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
412.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
409.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
409.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
409.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
407.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
405.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
403.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
402.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
401.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
400.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
400.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
396.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
393.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
392.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
391.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
391.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
390.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
388.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
387.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
386.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
386.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
384.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
381.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
380.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
379.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
378.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
377.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
375.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
375.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
375.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
374.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
374.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
373.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
372.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
371.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
370.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
370.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
366.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
364.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
363.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
363.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
362.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
360.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
359.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
354.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
353.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
351.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
349.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
347.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
340.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
339.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
332.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
331.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
331.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
327.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
326.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
322.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
319.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
311.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
310.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
310.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
309.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
309.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
307.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
304.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
303.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
303.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
301.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
300.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
298.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
296.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
295.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
293.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
281.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
279.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
270.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
259.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
251.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
250.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
248.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
245.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
241.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
237.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 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.
SPINT2 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
208.5
Number of samples
486
Samples
Sample
Description
TPM
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
527.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
490.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
482.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
470.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
427.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
422.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
415.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
407.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
397.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
389.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
388.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
367.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
366.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
363.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
360.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
357.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
351.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
347.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
344.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
342.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
342.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
341.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
335.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
333.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
332.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
331.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
326.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
326.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
324.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
321.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
313.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
308.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
307.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
306.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
306.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
305.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
303.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
300.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
300.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
299.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
299.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
295.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
295.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
293.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
287.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
286.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
286.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
285.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
283.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
282.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
281.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
281.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
278.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
278.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
276.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
275.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
273.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
273.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
272.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
271.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
270.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
268.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
267.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
267.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
264.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
264.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
263.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
261.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
260.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
259.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
258.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
258.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
258.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
257.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
257.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
256.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
255.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
255.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
254.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
254.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
254.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
253.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
252.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
252.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
251.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
251.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
250.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
249.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
249.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
249.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
248.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
248.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
248.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
247.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
247.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
247.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
246.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
246.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
246.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
246.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
245.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
245.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
244.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
244.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
244.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
244.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
244.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
243.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
243.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
243.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
242.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
242.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
241.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
241.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
239.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
238.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
238.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
238.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
238.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
238.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
238.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
238.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
238.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
238.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
238.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
236.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
235.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
234.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
234.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
233.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
233.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
233.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
233.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
233.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
233.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
232.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
232.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
232.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
231.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
231.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
231.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
230.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
228.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
228.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
227.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
227.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
226.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
226.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
226.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
226.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
224.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
223.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
223.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
223.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
223.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
223.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
223.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
222.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
222.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
222.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
221.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
221.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
221.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
220.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
220.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
219.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
219.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
219.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
219.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
218.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
218.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
218.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
218.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
218.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
217.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
217.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
217.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
217.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
217.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
216.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
216.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
216.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
215.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
215.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
215.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
215.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
214.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
213.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
213.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
213.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
212.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
212.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
212.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
212.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
212.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
212.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
211.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
211.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
211.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
211.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
211.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
211.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
210.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
210.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
209.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
209.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
209.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
209.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
208.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
208.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
208.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
208.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
207.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
207.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
207.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
207.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
207.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
206.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
206.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
206.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
206.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
206.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
205.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
205.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
205.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
205.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
205.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
204.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
204.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
204.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
204.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
204.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
203.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
203.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
203.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
203.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
203.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
203.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
203.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
202.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
202.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
201.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
201.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
201.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
201.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
200.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
200.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
200.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
200.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
199.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
199.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
199.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
198.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
198.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
197.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
197.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
197.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
197.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
197.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
197.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
197.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
197.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
196.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
196.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
196.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
196.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
196.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
196.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
195.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
195.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
195.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
194.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
193.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
193.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
193.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
193.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
193.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
193.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
192.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
192.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
191.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
191.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
191.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
191.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
191.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
191.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
191.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
191.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
191.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
191.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
191.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
190.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
190.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
190.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
189.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
189.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
189.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
189.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
188.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
187.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
187.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
187.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
187.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
187.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
186.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
186.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
186.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
185.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
184.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
184.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
183.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
182.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
182.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
181.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
181.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
181.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
181.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
181.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
181.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
181.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
180.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
180.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
180.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
179.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
179.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
179.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
178.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
178.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
178.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
178.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
178.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
177.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
177.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
176.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
176.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
175.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
175.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
175.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
175.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
174.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
174.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
174.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
174.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
174.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
173.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
173.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
173.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
172.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
172.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
172.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
172.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
172.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
171.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
170.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
170.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
170.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
170.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
170.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
170.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
170.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
170.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
169.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
169.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
169.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
169.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
168.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
168.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
168.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
167.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
167.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
166.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
166.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
165.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
165.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
165.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
165.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
164.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
164.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
163.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
163.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
163.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
163.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
163.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
162.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
162.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
161.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
161.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
161.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
160.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
160.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
159.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
159.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
159.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
159.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
158.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
158.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
158.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
158.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
157.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
157.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
156.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
155.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
154.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
154.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
154.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
153.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
153.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
152.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
152.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
152.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
152.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
152.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
151.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
151.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
151.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
150.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
150.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
149.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
149.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
149.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
149.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
149.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
148.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
147.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
147.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
147.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
147.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
147.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
147.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
146.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
146.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
146.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
144.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
144.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
143.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
140.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
140.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
140.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
139.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
139.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
139.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
138.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
138.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
137.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
137.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
136.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
134.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
134.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
133.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
132.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
132.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
131.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
130.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
130.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
129.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
129.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
127.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
127.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
126.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
125.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
125.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
124.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
123.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
123.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
123.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
122.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
122.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
122.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
121.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
120.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
116.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
113.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
113.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
109.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
108.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
108.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
108.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
105.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
99.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
92.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
90.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
90.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
77.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
54.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.8
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.
SPINT2 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
456.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2074.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
903.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
724.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
662.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
645.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
645.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
615.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
598.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
591.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
590.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
580.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
577.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
575.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
561.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
552.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
550.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
547.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
538.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
538.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
529.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
522.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
519.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
519.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
514.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
514.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
513.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
509.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
509.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
503.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
503.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
494.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
494.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
489.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
482.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
480.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
472.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
459.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
457.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
453.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
452.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
441.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
441.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
434.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
430.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
430.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
417.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
412.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
411.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
406.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
403.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
402.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
400.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
399.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
397.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
393.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
391.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
388.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
388.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
387.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
383.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
377.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
375.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
374.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
366.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
365.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
360.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
354.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
353.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
352.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
346.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
334.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
333.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
331.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
328.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
313.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
309.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
304.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
288.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
287.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
278.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
274.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
263.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
256.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
238.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
215.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
202.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
180.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 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.
SPINT2 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
178.1
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
916.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
468.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
337.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
304.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
298.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
294.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
294.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
290.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
286.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
284.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
282.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
268.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
260.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
258.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
258.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
256.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
256.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
247.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
246.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
245.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
243.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
239.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
238.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
237.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
233.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
230.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
230.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
229.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
229.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
228.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
223.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
222.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
221.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
221.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
220.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
219.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
218.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
217.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
216.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
216.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
216.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
214.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
212.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
212.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
211.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
209.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
208.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
207.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
206.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
206.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
206.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
204.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
202.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
202.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
200.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
200.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
200.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
200.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
200.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
199.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
198.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
198.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
196.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
196.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
194.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
194.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
193.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
191.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
190.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
189.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
188.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
188.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
188.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
188.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
188.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
186.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
185.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
184.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
183.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
183.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
182.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
182.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
181.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
179.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
179.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
178.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
178.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
178.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
178.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
176.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
176.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
176.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
176.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
175.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
174.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
174.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
174.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
174.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
173.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
173.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
172.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
172.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
172.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
171.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
171.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
171.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
171.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
170.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
170.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
170.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
169.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
167.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
167.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
167.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
166.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
166.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
166.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
165.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
164.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
163.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
163.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
162.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
162.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
162.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
159.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
159.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
157.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
157.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
157.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
157.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
156.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
155.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
153.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
153.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
153.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
152.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
152.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
151.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
150.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
150.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
150.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
150.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
149.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
149.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
149.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
149.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
147.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
142.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
142.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
141.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
141.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
141.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
139.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
136.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
136.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
135.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
135.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
134.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
133.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
133.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
133.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
132.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
132.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
130.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
130.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
130.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
129.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
128.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
126.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
125.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
123.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
122.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
122.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
121.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
121.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
121.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
120.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
119.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
119.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
119.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
119.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
118.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
117.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
112.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
111.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
109.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
109.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
107.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
106.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
106.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
105.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
104.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
102.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
98.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
98.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
97.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
93.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
92.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
92.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
88.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
88.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
86.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
84.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
82.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
76.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
75.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
67.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.9
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.9
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-1.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-2.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-3.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-3.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
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.
The Human Protein Atlas project is funded
