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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.
TUBA1C 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
367.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
771.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
660.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
654.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
649.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
648.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
645.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
645.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
635.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
629.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
610.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
594.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
566.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
554.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
553.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
552.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
548.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
538.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
528.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
522.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
519.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
519.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
518.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
515.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
510.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
505.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
505.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
503.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
503.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
495.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
492.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
492.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
492.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
487.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
487.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
486.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
485.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
481.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
481.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
480.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
479.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
472.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
470.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
469.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
468.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
467.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
467.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
465.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
463.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
461.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
461.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
459.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
457.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
457.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
455.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
455.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
454.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
454.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
452.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
452.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
451.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
451.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
451.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
451.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
449.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
447.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
445.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
444.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
444.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
444.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
443.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
443.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
443.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
441.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
440.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
438.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
438.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
433.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
431.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
426.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
426.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
425.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
422.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
421.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
420.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
417.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
417.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
416.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
415.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
415.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
410.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
407.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
406.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
405.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
402.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
400.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
399.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
399.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
396.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
396.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
393.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
393.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
393.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
392.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
386.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
385.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
385.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
384.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
382.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
382.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
381.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
378.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
378.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
376.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
373.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
373.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
372.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
370.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
369.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
366.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
366.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
365.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
364.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
363.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
362.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
361.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
360.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
360.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
357.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
355.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
354.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
353.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
351.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
349.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
349.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
348.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
347.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
347.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
347.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
343.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
343.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
342.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
342.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
341.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
339.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
339.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
337.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
336.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
335.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
332.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
332.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
331.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
330.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
330.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
329.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
328.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
327.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
327.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
324.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
324.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
322.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
322.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
321.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
321.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
321.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
320.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
319.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
319.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
319.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
319.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
314.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
310.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
309.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
308.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
306.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
304.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
303.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
303.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
302.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
302.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
301.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
299.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
298.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
296.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
296.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
293.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
293.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
292.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
288.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
287.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
286.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
285.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
283.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
281.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
279.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
279.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
277.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
276.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
275.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
274.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
269.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
265.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
264.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
264.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
260.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
258.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
256.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
255.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
252.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
251.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
251.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
250.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
250.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
246.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
245.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
244.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
243.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
240.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
239.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
239.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
238.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
237.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
236.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
232.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
229.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
227.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
226.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
225.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
222.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
222.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
221.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
218.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
217.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
215.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
214.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
211.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
211.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
211.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
204.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
203.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
202.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
202.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
201.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
201.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
196.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
196.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
191.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
191.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
189.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
173.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
168.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
152.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
144.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
140.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
TUBA1C 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
192.0
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
404.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
386.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
374.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
367.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
346.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
345.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
334.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
329.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
327.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
323.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
322.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
321.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
318.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
311.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
310.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
309.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
304.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
303.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
302.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
300.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
300.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
294.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
294.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
294.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
292.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
290.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
289.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
289.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
287.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
287.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
286.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
283.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
282.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
282.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
281.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
279.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
278.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
277.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
277.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
276.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
276.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
275.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
275.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
271.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
271.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
270.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
270.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
269.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
267.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
266.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
266.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
265.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
264.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
263.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
262.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
261.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
261.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
260.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
260.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
260.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
260.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
259.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
259.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
259.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
259.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
259.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
256.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
255.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
255.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
255.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
254.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
254.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
252.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
251.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
251.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
251.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
250.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
249.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
249.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
247.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
247.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
245.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
245.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
244.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
244.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
244.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
243.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
243.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
242.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
240.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
240.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
240.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
240.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
240.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
240.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
239.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
239.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
238.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
238.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
238.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
236.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
236.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
235.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
235.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
234.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
234.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
234.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
234.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
234.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
233.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
232.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
232.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
232.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
232.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
231.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
230.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
230.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
230.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
230.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
230.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
229.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
229.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
229.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
229.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
228.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
228.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
226.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
226.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
226.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
226.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
225.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
225.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
225.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
225.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
224.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
224.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
224.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
224.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
223.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
223.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
223.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
223.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
222.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
222.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
221.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
221.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
220.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
220.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
220.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
219.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
219.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
219.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
218.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
218.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
218.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
217.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
216.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
215.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
215.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
215.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
215.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
213.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
213.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
212.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
212.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
211.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
211.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
211.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
211.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
210.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
210.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
210.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
210.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
209.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
209.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
209.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
208.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
208.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
208.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
208.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
207.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
207.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
207.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
207.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
207.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
206.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
206.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
206.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
206.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
206.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
205.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
205.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
205.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
204.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
204.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
203.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
203.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
203.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
202.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
202.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
202.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
202.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
202.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
201.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
201.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
200.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
200.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
200.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
200.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
200.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
199.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
199.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
199.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
198.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
198.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
197.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
197.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
196.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
196.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
196.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
196.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
196.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
195.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
195.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
195.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
195.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
195.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
195.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
195.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
194.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
194.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
194.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
193.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
192.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
192.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
192.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
191.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
191.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
191.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
190.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
190.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
189.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
189.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
187.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
187.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
187.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
186.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
186.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
186.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
186.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
186.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
185.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
185.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
185.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
185.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
185.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
185.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
184.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
184.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
184.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
183.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
183.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
183.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
183.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
183.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
182.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
182.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
182.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
182.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
181.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
180.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
179.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
179.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
179.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
179.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
179.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
178.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
178.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
178.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
178.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
177.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
176.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
176.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
176.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
176.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
176.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
176.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
175.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
175.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
175.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
174.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
174.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
173.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
173.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
173.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
173.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
172.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
172.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
172.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
171.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
171.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
171.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
170.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
170.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
170.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
170.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
170.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
169.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
169.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
169.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
169.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
168.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
167.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
167.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
167.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
166.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
165.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
165.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
165.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
165.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
164.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
164.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
164.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
163.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
163.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
163.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
163.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
162.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
162.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
162.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
162.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
162.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
161.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
161.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
161.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
161.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
160.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
160.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
160.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
160.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
160.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
159.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
159.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
159.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
158.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
158.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
157.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
157.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
156.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
156.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
156.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
156.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
155.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
155.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
155.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
154.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
153.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
153.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
153.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
152.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
152.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
152.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
152.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
151.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
151.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
151.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
150.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
150.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
149.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
149.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
149.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
148.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
147.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
147.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
147.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
147.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
146.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
146.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
146.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
146.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
145.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
145.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
144.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
143.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
143.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
143.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
143.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
143.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
142.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
142.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
141.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
141.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
140.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
140.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
140.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
140.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
139.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
138.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
138.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
138.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
137.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
136.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
135.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
134.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
134.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
134.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
133.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
132.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
132.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
131.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
131.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
130.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
130.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
129.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
128.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
127.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
127.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
127.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
127.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
126.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
126.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
126.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
126.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
125.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
125.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
125.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
125.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
124.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
123.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
123.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
123.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
122.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
122.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
122.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
121.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
121.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
121.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
120.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
120.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
119.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
119.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
119.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
118.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
118.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
118.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
117.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
117.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
117.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
116.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
116.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
116.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
115.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
113.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
112.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
112.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
110.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
109.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
109.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
108.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
108.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
107.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
106.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
106.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
106.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
103.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
101.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
98.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
97.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
95.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
93.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
91.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
90.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
89.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
86.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
86.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
83.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
81.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
73.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
70.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
69.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
67.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
65.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
64.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
51.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
11.5
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.
TUBA1C 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
356.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
617.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
614.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
583.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
583.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
572.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
564.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
560.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
552.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
539.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
505.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
495.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
494.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
492.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
484.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
483.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
482.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
478.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
472.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
462.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
460.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
444.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
424.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
423.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
419.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
417.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
414.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
407.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
404.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
401.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
399.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
399.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
395.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
392.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
388.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
382.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
377.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
376.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
374.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
373.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
366.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
357.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
353.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
352.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
349.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
344.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
340.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
336.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
336.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
335.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
329.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
328.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
317.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
312.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
309.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
306.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
304.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
302.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
300.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
294.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
287.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
285.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
278.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
276.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
276.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
271.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
271.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
266.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
260.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
260.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
257.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
255.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
251.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
242.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
240.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
225.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
224.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
224.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
221.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
219.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
218.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
210.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
204.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
196.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
180.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
170.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
151.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
TUBA1C 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
168.1
Number of samples
207
Samples
Sample
Description
TPM
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
343.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
324.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
320.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
318.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
318.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
316.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
311.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
306.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
304.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
281.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
278.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
275.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
269.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
267.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
266.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
262.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
261.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
259.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
258.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
256.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
250.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
250.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
244.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
241.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
240.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
239.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
238.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
233.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
230.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
229.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
229.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
221.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
219.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
217.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
216.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
216.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
215.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
215.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
213.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
213.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
211.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
210.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
209.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
206.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
206.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
205.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
204.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
204.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
204.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
203.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
202.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
200.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
200.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
200.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
199.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
196.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
196.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
195.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
193.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
193.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
193.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
192.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
190.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
189.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
186.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
186.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
185.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
185.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
185.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
184.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
183.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
183.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
183.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
181.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
179.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
179.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
178.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
176.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
176.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
176.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
175.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
174.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
174.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
173.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
173.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
172.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
168.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
166.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
165.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
163.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
163.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
163.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
163.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
162.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
162.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
162.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
162.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
160.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
159.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
158.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
158.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
157.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
157.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
157.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
157.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
157.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
157.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
157.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
157.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
156.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
155.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
154.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
153.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
153.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
152.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
151.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
151.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
151.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
151.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
150.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
150.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
150.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
150.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
150.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
149.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
149.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
146.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
146.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
145.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
145.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
145.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
145.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
144.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
144.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
143.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
143.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
142.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
142.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
142.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
142.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
141.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
141.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
140.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
140.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
140.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
139.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
139.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
137.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
135.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
134.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
134.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
133.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
131.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
130.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
130.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
128.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
126.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
124.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
124.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
123.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
123.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
123.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
122.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
122.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
121.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
121.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
121.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
120.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
120.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
119.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
119.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
115.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
113.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
112.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
112.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
107.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
106.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
106.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
106.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
106.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
106.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
105.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
105.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
104.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
104.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
104.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
101.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
97.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
95.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
94.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
93.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
92.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
91.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
91.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
87.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
87.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
86.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
86.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
84.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
84.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
83.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
72.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
70.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
67.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
66.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
57.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
27.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
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Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
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Tumor
0.2
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Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
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Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
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Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
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Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
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Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.2
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Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Normal
-0.5
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Tumor
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.