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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.
TGFBI 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
511.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2280.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2100.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1746.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1697.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1661.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1648.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1551.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1425.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1399.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1397.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1390.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1370.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1348.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1277.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1266.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1265.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1250.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1249.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1232.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1209.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1159.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1145.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1125.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1081.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1080.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1069.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1055.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1038.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1013.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
991.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
963.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
960.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
948.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
922.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
912.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
905.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
890.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
881.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
881.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
868.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
858.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
851.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
824.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
817.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
800.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
798.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
794.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
777.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
775.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
773.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
765.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
745.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
744.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
728.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
725.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
708.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
708.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
704.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
700.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
698.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
686.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
677.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
677.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
669.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
663.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
663.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
656.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
654.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
651.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
649.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
648.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
641.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
638.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
638.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
629.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
623.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
618.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
614.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
610.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
609.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
601.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
601.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
598.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
586.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
578.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
569.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
566.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
561.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
559.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
553.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
544.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
543.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
531.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
531.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
529.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
527.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
519.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
518.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
517.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
516.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
489.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
486.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
485.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
482.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
480.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
473.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
471.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
468.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
454.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
450.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
448.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
448.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
448.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
445.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
445.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
443.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
442.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
441.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
433.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
432.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
427.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
425.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
419.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
416.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
415.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
414.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
413.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
413.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
407.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
405.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
400.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
394.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
394.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
389.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
389.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
386.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
384.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
376.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
376.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
375.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
372.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
370.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
367.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
366.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
363.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
360.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
359.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
350.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
338.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
338.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
334.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
332.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
331.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
328.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
327.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
325.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
325.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
322.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
321.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
318.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
315.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
314.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
312.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
310.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
306.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
302.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
299.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
295.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
288.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
285.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
284.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
273.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
270.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
265.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
259.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
258.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
254.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
254.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
244.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
244.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
244.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
241.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
240.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
240.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
238.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
235.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
234.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
232.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
228.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
224.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
224.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
221.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
207.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
206.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
205.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
205.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
205.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
202.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
200.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
199.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
198.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
197.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
197.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
196.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
196.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
194.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
193.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
189.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
188.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
187.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
187.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
185.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
181.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
176.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
169.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
167.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
159.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
156.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
156.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
153.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
152.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
150.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
144.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
143.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
141.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
135.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
129.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
115.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
114.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
111.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
111.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
110.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
97.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
96.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
89.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
88.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
85.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
82.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
80.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
76.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
75.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
74.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
69.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
68.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
67.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
64.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
63.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
62.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
59.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
57.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
51.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
48.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
48.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 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.
TGFBI 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
435.7
Number of samples
486
Samples
Sample
Description
TPM
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1378.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1370.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1353.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1319.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1292.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1274.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
1234.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1224.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1191.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1166.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1121.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1099.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
1094.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1087.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1083.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1078.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1058.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1046.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1043.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1020.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1017.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
991.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
990.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
985.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
973.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
965.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
965.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
937.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
936.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
929.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
922.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
908.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
901.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
895.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
895.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
887.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
860.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
859.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
858.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
848.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
847.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
845.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
843.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
831.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
830.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
828.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
823.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
820.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
817.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
811.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
801.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
789.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
779.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
774.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
773.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
772.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
769.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
760.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
760.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
755.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
750.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
749.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
747.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
745.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
743.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
738.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
737.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
729.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
725.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
720.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
715.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
712.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
709.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
705.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
705.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
704.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
704.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
695.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
693.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
691.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
683.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
682.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
681.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
681.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
679.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
674.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
672.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
672.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
671.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
655.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
651.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
650.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
642.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
637.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
635.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
635.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
635.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
634.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
633.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
630.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
629.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
626.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
625.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
624.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
624.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
622.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
620.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
620.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
619.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
615.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
615.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
613.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
612.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
604.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
597.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
595.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
594.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
591.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
591.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
589.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
586.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
585.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
583.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
572.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
572.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
570.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
568.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
562.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
558.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
557.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
550.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
545.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
544.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
543.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
534.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
534.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
530.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
528.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
527.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
522.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
522.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
522.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
520.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
518.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
515.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
513.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
509.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
505.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
504.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
503.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
500.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
499.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
499.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
494.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
494.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
493.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
492.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
491.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
491.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
490.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
490.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
485.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
484.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
483.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
482.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
482.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
481.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
478.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
477.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
471.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
470.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
469.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
466.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
463.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
463.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
462.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
461.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
461.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
461.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
460.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
460.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
460.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
459.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
457.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
453.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
448.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
447.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
446.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
445.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
444.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
444.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
444.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
443.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
442.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
442.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
441.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
440.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
439.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
438.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
437.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
435.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
435.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
434.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
434.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
433.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
433.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
430.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
427.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
423.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
423.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
422.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
419.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
417.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
415.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
413.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
411.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
411.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
405.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
404.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
404.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
400.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
398.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
396.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
394.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
393.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
392.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
391.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
389.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
389.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
387.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
385.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
382.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
379.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
376.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
375.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
373.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
373.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
370.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
369.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
369.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
367.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
365.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
364.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
363.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
362.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
361.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
361.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
360.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
359.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
357.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
356.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
353.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
352.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
352.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
350.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
349.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
347.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
347.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
346.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
345.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
345.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
343.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
343.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
343.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
342.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
342.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
341.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
341.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
340.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
337.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
336.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
334.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
333.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
332.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
331.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
330.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
328.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
327.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
324.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
324.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
323.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
319.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
316.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
315.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
315.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
314.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
314.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
312.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
312.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
312.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
310.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
310.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
308.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
308.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
307.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
307.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
306.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
303.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
303.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
301.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
300.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
300.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
297.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
297.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
296.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
296.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
294.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
294.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
294.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
294.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
293.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
292.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
292.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
290.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
290.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
288.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
288.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
286.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
286.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
285.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
282.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
280.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
280.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
279.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
277.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
276.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
276.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
276.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
275.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
275.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
272.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
272.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
271.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
270.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
269.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
269.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
268.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
265.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
264.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
264.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
263.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
262.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
260.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
260.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
258.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
258.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
258.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
258.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
256.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
254.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
254.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
254.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
253.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
253.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
250.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
250.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
248.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
248.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
246.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
246.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
245.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
245.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
243.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
243.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
242.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
240.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
237.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
237.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
236.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
236.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
236.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
235.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
234.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
233.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
232.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
230.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
229.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
229.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
228.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
228.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
228.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
227.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
226.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
225.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
224.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
223.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
220.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
217.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
215.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
215.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
213.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
213.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
212.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
210.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
209.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
209.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
208.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
206.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
204.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
203.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
203.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
203.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
203.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
202.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
199.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
199.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
199.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
199.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
198.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
198.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
197.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
193.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
192.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
191.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
190.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
190.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
188.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
186.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
185.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
185.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
185.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
184.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
180.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
178.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
178.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
178.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
177.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
175.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
175.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
171.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
170.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
169.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
169.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
164.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
163.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
160.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
160.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
157.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
156.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
155.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
153.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
151.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
150.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
149.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
147.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
147.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
144.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
143.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
142.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
141.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
141.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
140.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
139.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
136.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
135.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
135.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
134.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
134.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
134.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
133.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
133.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
132.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
130.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
128.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
128.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
123.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
119.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
117.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
115.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
112.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
110.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
107.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
107.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
106.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
102.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
101.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
98.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
90.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
85.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
77.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
73.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
68.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
63.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
55.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.4
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.
TGFBI 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
603.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2861.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2156.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1559.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1552.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1431.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1187.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1172.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1171.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1168.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1120.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1037.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1027.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1011.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1005.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
977.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
967.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
963.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
918.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
895.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
893.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
880.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
871.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
815.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
781.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
769.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
725.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
715.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
694.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
691.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
690.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
652.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
644.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
640.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
632.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
629.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
614.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
603.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
603.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
595.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
573.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
550.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
548.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
528.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
527.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
525.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
520.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
499.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
492.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
487.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
437.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
436.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
421.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
411.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
405.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
336.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
330.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
327.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
325.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
320.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
304.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
299.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
296.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
291.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
263.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
257.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
256.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
236.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
234.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
230.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
227.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
211.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
199.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
197.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
195.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
193.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
186.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
185.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
182.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
180.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
178.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
157.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
148.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
145.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
136.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
128.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
108.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 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.
TGFBI 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
412.3
Number of samples
207
Samples
Sample
Description
TPM
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1269.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1252.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1185.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1076.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1058.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
1041.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1039.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1021.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1010.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
993.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
959.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
911.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
891.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
865.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
849.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
837.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
825.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
793.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
751.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
745.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
745.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
736.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
715.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
714.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
681.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
678.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
676.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
669.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
668.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
657.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
654.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
631.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
628.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
626.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
623.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
618.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
608.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
608.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
589.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
587.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
584.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
573.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
569.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
568.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
564.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
563.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
556.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
554.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
546.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
539.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
538.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
535.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
535.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
521.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
506.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
505.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
503.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
502.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
501.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
498.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
494.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
492.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
491.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
488.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
488.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
482.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
453.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
453.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
451.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
451.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
447.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
442.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
424.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
424.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
421.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
417.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
416.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
414.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
406.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
406.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
404.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
403.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
398.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
396.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
395.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
393.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
390.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
383.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
376.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
371.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
369.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
367.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
359.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
358.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
356.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
352.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
348.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
348.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
344.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
344.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
342.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
342.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
341.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
337.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
337.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
335.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
334.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
332.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
329.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
326.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
325.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
324.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
322.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
322.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
321.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
319.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
317.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
317.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
314.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
313.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
313.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
307.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
306.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
304.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
303.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
300.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
296.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
295.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
293.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
293.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
292.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
291.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
291.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
286.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
285.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
285.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
280.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
276.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
276.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
272.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
271.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
271.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
267.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
267.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
263.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
263.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
261.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
258.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
258.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
258.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
256.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
255.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
253.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
252.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
248.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
247.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
243.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
240.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
236.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
233.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
227.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
224.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
224.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
223.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
220.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
219.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
218.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
215.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
212.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
212.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
211.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
210.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
209.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
208.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
206.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
205.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
204.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
202.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
201.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
200.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
199.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
199.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
187.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
184.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
184.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
183.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
182.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
178.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
176.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
172.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
171.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
165.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
159.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
159.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
142.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
132.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
124.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
121.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
120.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
119.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
116.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
110.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
107.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
103.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
97.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
69.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
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Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
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Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.8
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.9
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.9
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.3
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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.