We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
P4HB 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
463.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1384.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1241.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1188.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1149.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1098.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
993.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
960.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
897.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
894.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
886.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
875.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
861.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
845.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
845.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
842.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
777.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
767.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
759.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
757.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
741.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
728.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
722.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
721.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
719.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
716.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
712.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
711.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
707.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
692.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
688.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
682.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
681.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
679.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
679.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
678.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
671.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
665.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
646.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
643.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
641.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
640.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
636.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
631.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
628.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
623.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
621.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
615.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
612.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
594.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
591.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
590.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
585.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
582.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
578.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
572.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
565.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
564.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
563.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
558.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
556.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
552.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
547.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
547.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
545.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
542.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
537.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
535.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
534.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
530.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
529.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
528.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
527.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
526.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
525.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
521.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
520.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
516.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
514.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
511.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
511.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
510.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
509.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
506.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
505.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
504.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
503.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
502.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
497.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
496.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
482.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
481.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
480.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
477.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
477.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
476.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
475.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
474.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
474.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
473.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
473.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
471.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
469.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
469.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
468.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
468.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
466.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
459.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
458.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
456.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
455.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
450.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
448.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
447.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
447.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
447.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
445.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
445.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
444.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
442.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
442.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
440.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
437.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
437.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
437.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
433.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
433.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
428.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
428.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
428.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
427.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
427.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
422.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
418.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
418.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
417.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
413.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
411.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
409.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
406.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
405.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
405.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
404.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
403.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
402.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
401.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
400.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
394.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
393.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
393.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
390.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
384.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
383.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
383.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
383.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
382.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
381.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
381.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
380.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
379.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
379.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
377.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
376.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
375.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
374.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
374.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
373.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
372.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
371.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
370.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
369.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
368.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
368.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
368.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
367.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
365.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
364.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
360.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
358.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
358.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
352.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
346.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
338.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
338.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
338.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
336.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
335.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
334.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
329.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
328.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
326.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
325.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
324.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
323.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
321.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
321.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
320.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
319.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
319.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
311.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
308.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
308.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
305.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
305.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
305.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
304.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
298.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
297.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
296.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
294.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
294.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
293.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
293.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
284.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
282.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
280.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
278.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
277.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
276.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
276.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
274.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
274.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
267.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
266.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
266.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
264.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
261.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
260.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
259.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
258.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
256.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
256.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
252.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
248.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
242.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
242.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
235.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
233.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
232.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
231.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
229.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
227.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
227.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
226.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
215.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
215.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
199.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
197.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
193.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
190.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
180.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
165.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
143.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
128.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
P4HB 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
283.2
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1150.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
888.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
878.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
847.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
812.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
779.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
756.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
728.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
723.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
710.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
670.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
650.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
620.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
617.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
600.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
595.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
595.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
590.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
583.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
577.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
577.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
569.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
558.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
540.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
534.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
528.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
526.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
524.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
521.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
513.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
510.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
502.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
501.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
501.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
498.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
498.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
498.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
497.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
494.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
492.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
492.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
489.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
481.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
475.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
475.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
474.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
469.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
468.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
464.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
464.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
463.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
462.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
458.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
452.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
450.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
450.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
449.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
443.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
443.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
435.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
430.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
430.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
430.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
427.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
420.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
419.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
417.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
417.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
416.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
413.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
413.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
411.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
409.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
405.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
401.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
400.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
398.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
395.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
394.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
393.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
392.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
391.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
389.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
388.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
387.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
385.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
383.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
380.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
378.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
378.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
376.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
375.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
375.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
374.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
367.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
367.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
365.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
365.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
363.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
363.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
360.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
359.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
356.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
356.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
356.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
354.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
354.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
354.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
354.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
350.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
350.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
349.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
346.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
346.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
345.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
345.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
342.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
342.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
341.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
340.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
340.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
337.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
335.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
335.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
335.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
335.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
334.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
334.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
334.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
333.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
331.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
331.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
329.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
328.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
327.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
327.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
326.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
325.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
323.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
323.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
322.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
322.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
319.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
318.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
316.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
315.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
314.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
314.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
313.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
313.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
312.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
312.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
311.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
310.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
310.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
309.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
308.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
307.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
306.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
306.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
306.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
306.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
305.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
305.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
304.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
303.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
303.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
302.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
302.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
302.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
299.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
297.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
296.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
296.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
295.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
295.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
294.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
294.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
293.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
292.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
290.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
289.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
289.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
288.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
288.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
288.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
287.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
285.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
285.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
284.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
284.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
284.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
283.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
283.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
282.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
281.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
281.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
280.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
280.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
280.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
279.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
277.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
274.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
273.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
273.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
273.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
272.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
272.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
271.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
271.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
270.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
270.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
268.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
268.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
268.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
268.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
267.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
267.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
266.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
265.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
265.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
265.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
264.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
263.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
263.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
262.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
262.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
262.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
261.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
261.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
260.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
260.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
259.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
259.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
259.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
256.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
256.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
255.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
255.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
255.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
255.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
255.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
254.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
254.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
254.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
253.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
252.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
252.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
251.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
250.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
250.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
250.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
249.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
248.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
247.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
246.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
245.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
245.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
245.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
245.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
245.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
245.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
245.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
244.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
244.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
244.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
242.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
240.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
240.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
240.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
239.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
239.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
239.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
239.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
238.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
237.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
237.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
236.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
236.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
236.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
235.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
235.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
235.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
235.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
234.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
233.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
233.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
232.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
232.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
231.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
231.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
231.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
230.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
230.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
230.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
230.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
230.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
230.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
229.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
228.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
227.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
226.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
226.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
226.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
224.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
223.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
223.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
223.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
222.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
222.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
221.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
221.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
220.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
220.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
220.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
220.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
219.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
219.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
218.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
216.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
216.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
215.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
214.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
214.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
213.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
213.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
212.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
211.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
211.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
211.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
210.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
209.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
208.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
208.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
207.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
206.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
204.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
204.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
203.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
203.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
202.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
201.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
201.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
200.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
200.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
199.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
199.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
198.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
197.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
197.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
197.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
196.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
196.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
196.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
194.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
194.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
191.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
191.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
191.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
190.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
189.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
188.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
187.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
187.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
186.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
185.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
185.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
185.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
184.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
184.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
183.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
182.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
182.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
182.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
181.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
181.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
180.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
179.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
179.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
179.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
178.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
178.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
178.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
177.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
177.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
176.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
175.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
174.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
173.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
173.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
172.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
171.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
171.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
171.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
171.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
170.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
169.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
169.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
168.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
168.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
166.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
166.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
165.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
165.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
165.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
164.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
164.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
164.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
164.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
163.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
163.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
163.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
162.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
162.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
161.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
161.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
160.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
160.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
159.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
159.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
158.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
158.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
157.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
157.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
156.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
154.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
154.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
153.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
152.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
151.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
150.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
150.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
146.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
144.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
144.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
143.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
142.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
142.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
142.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
141.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
141.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
141.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
141.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
141.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
139.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
139.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
139.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
139.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
139.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
138.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
138.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
138.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
137.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
136.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
136.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
135.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
134.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
133.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
133.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
131.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
130.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
128.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
128.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
127.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
122.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
121.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
114.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
113.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
113.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
112.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
111.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
111.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
106.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
106.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
103.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
99.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
98.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
96.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
93.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
91.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
74.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
38.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
P4HB 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
390.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1096.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1045.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
968.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
757.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
715.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
604.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
601.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
590.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
584.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
542.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
529.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
521.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
519.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
507.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
506.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
499.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
496.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
487.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
478.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
476.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
473.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
457.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
450.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
436.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
433.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
433.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
419.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
416.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
412.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
410.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
407.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
405.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
404.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
402.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
401.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
398.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
398.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
397.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
396.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
392.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
389.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
386.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
386.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
377.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
376.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
366.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
360.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
358.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
357.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
350.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
349.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
347.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
344.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
339.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
338.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
333.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
333.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
329.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
317.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
315.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
314.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
314.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
311.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
307.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
304.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
295.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
281.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
280.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
279.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
278.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
278.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
272.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
264.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
263.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
263.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
245.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
240.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
239.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
220.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
219.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
205.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
191.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
187.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
138.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
108.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
70.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
P4HB 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
209.9
Number of samples
207
Samples
Sample
Description
TPM
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
533.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
489.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
462.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
447.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
446.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
441.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
436.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
433.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
428.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
424.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
418.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
412.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
407.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
379.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
371.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
354.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
350.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
349.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
345.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
332.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
328.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
322.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
315.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
305.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
301.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
297.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
297.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
293.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
287.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
284.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
279.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
279.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
278.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
277.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
275.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
273.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
273.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
272.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
272.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
271.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
271.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
270.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
270.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
269.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
263.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
263.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
263.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
261.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
257.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
256.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
253.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
250.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
250.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
249.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
249.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
249.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
247.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
245.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
244.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
243.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
241.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
237.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
229.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
228.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
228.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
227.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
227.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
227.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
227.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
226.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
226.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
225.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
224.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
224.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
223.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
221.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
220.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
220.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
218.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
217.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
214.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
213.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
213.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
212.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
211.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
209.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
207.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
205.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
202.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
202.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
200.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
200.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
200.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
199.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
198.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
198.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
198.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
196.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
196.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
195.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
195.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
193.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
192.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
191.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
191.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
190.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
190.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
190.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
189.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
188.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
187.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
187.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
187.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
186.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
186.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
185.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
184.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
184.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
184.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
182.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
181.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
181.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
180.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
178.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
176.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
176.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
174.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
174.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
172.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
172.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
171.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
170.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
170.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
168.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
167.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
166.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
165.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
165.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
164.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
164.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
164.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
163.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
162.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
161.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
160.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
160.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
159.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
158.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
157.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
156.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
156.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
155.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
154.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
153.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
152.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
150.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
148.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
146.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
145.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
144.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
141.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
141.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
138.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
136.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
135.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
134.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
132.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
131.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
130.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
130.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
129.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
129.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
129.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
128.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
127.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
124.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
123.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
123.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
123.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
122.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
122.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
121.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
121.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
120.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
119.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
117.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
117.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
114.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
114.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
113.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
113.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
109.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
106.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
106.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
105.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
105.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
101.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
101.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
95.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
95.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
94.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
90.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
88.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
83.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
74.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
68.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
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.