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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HNRNPC 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
452.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
832.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
799.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
775.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
743.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
735.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
732.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
719.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
712.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
694.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
683.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
671.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
670.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
667.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
666.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
663.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
653.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
653.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
650.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
646.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
635.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
634.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
627.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
626.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
623.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
619.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
615.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
609.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
600.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
598.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
595.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
591.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
589.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
584.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
582.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
579.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
578.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
574.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
571.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
570.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
565.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
561.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
561.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
557.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
556.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
555.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
555.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
553.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
553.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
548.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
547.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
546.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
544.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
544.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
540.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
539.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
537.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
536.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
535.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
535.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
534.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
533.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
531.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
530.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
528.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
528.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
527.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
526.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
526.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
523.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
523.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
523.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
521.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
520.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
518.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
518.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
515.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
511.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
510.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
510.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
509.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
508.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
506.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
503.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
500.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
498.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
498.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
496.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
494.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
493.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
490.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
489.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
488.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
487.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
484.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
483.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
483.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
482.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
482.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
481.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
479.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
478.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
478.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
476.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
475.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
475.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
474.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
473.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
466.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
463.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
462.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
461.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
458.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
457.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
457.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
457.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
455.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
454.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
452.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
452.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
449.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
449.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
447.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
445.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
445.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
445.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
445.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
444.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
441.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
441.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
440.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
439.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
437.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
436.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
433.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
431.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
425.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
424.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
422.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
421.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
417.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
416.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
416.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
416.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
414.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
414.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
413.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
410.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
410.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
410.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
408.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
406.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
405.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
401.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
400.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
398.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
398.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
396.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
395.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
394.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
391.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
391.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
391.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
390.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
388.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
387.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
387.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
387.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
386.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
385.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
385.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
385.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
384.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
380.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
379.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
378.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
378.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
376.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
375.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
375.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
372.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
372.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
372.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
371.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
371.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
368.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
368.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
367.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
367.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
367.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
366.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
366.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
363.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
363.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
363.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
360.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
360.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
359.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
358.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
357.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
355.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
355.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
354.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
354.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
353.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
352.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
350.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
348.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
348.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
347.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
347.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
346.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
345.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
344.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
342.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
342.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
341.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
340.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
338.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
338.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
335.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
334.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
332.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
332.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
331.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
331.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
330.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
326.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
325.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
323.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
322.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
320.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
319.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
314.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
314.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
312.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
307.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
300.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
299.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
298.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
293.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
290.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
285.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
281.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
271.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
258.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
258.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
256.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
243.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
238.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
232.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
226.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
225.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
180.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 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.
HNRNPC 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
336.7
Number of samples
486
Samples
Sample
Description
TPM
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
556.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
553.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
542.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
532.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
527.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
520.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
516.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
508.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
508.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
503.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
498.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
490.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
488.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
485.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
480.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
480.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
480.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
477.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
476.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
474.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
474.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
473.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
472.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
471.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
471.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
470.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
468.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
467.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
467.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
466.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
465.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
460.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
460.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
458.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
458.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
455.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
451.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
450.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
450.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
448.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
448.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
446.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
446.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
445.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
443.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
442.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
441.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
440.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
440.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
440.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
439.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
438.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
438.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
437.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
434.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
432.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
431.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
428.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
428.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
427.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
427.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
425.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
424.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
423.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
423.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
422.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
422.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
422.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
421.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
420.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
418.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
418.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
417.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
416.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
416.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
416.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
415.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
414.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
413.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
413.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
413.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
412.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
411.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
411.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
410.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
410.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
409.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
409.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
408.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
408.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
408.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
407.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
406.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
404.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
404.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
404.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
403.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
402.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
402.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
401.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
401.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
401.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
400.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
399.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
399.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
399.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
398.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
397.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
396.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
396.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
395.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
394.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
394.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
393.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
392.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
390.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
390.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
389.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
389.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
389.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
389.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
388.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
388.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
388.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
388.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
387.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
386.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
386.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
386.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
385.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
385.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
384.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
383.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
383.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
383.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
382.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
382.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
382.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
382.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
381.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
379.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
379.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
379.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
379.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
378.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
377.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
376.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
375.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
375.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
374.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
374.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
373.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
373.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
372.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
372.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
371.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
371.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
370.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
369.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
369.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
368.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
368.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
368.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
367.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
367.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
367.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
367.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
366.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
366.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
366.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
366.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
366.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
365.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
365.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
364.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
364.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
364.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
363.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
363.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
362.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
361.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
361.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
360.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
360.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
360.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
359.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
357.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
357.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
355.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
354.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
354.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
354.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
353.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
353.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
353.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
353.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
352.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
352.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
352.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
352.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
351.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
351.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
350.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
349.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
348.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
348.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
347.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
347.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
345.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
345.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
345.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
344.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
344.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
344.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
344.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
344.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
343.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
343.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
343.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
342.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
342.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
342.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
341.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
340.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
340.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
340.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
339.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
339.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
339.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
339.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
338.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
338.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
337.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
337.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
336.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
336.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
336.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
336.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
336.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
335.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
334.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
333.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
333.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
333.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
333.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
333.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
332.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
332.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
331.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
331.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
331.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
329.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
328.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
328.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
327.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
327.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
327.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
327.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
326.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
326.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
325.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
325.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
324.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
324.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
324.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
324.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
323.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
323.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
322.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
322.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
321.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
321.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
320.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
319.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
319.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
319.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
319.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
319.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
318.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
318.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
318.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
317.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
317.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
316.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
316.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
316.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
316.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
315.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
315.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
315.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
314.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
314.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
314.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
313.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
312.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
312.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
311.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
311.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
311.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
311.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
311.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
311.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
310.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
310.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
309.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
308.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
308.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
308.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
307.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
307.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
307.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
306.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
306.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
306.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
306.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
306.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
306.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
305.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
304.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
304.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
303.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
303.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
302.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
301.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
300.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
300.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
300.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
300.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
300.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
300.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
299.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
299.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
299.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
299.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
298.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
298.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
298.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
297.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
297.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
297.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
296.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
296.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
295.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
295.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
295.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
295.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
295.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
294.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
293.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
292.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
290.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
290.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
290.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
290.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
288.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
287.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
287.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
287.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
286.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
285.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
284.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
283.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
282.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
282.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
282.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
280.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
280.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
279.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
279.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
279.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
277.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
275.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
275.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
274.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
274.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
274.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
273.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
272.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
272.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
271.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
271.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
271.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
268.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
268.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
268.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
268.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
267.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
266.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
266.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
265.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
265.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
265.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
264.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
263.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
262.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
262.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
262.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
262.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
262.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
261.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
260.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
259.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
259.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
258.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
258.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
257.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
257.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
257.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
257.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
257.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
256.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
256.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
256.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
255.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
255.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
255.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
253.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
253.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
253.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
253.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
252.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
252.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
252.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
250.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
250.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
250.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
249.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
249.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
247.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
247.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
246.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
244.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
244.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
243.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
243.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
242.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
241.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
239.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
239.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
238.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
238.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
238.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
238.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
236.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
236.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
235.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
234.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
234.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
234.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
232.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
229.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
226.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
226.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
225.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
223.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
223.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
223.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
222.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
221.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
221.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
220.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
220.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
220.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
218.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
217.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
217.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
212.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
212.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
211.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
206.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
206.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
205.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
205.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
203.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
202.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
196.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
194.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
193.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
189.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
187.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
173.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
171.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
170.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
156.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
20.1
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.
HNRNPC 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
437.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
846.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
730.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
664.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
653.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
644.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
636.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
615.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
611.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
605.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
581.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
580.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
578.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
575.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
571.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
569.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
563.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
561.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
544.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
544.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
542.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
536.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
535.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
530.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
524.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
519.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
516.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
510.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
503.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
494.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
482.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
478.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
475.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
474.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
470.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
463.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
462.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
459.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
453.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
444.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
443.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
435.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
432.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
431.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
428.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
426.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
425.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
425.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
424.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
422.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
418.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
418.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
411.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
410.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
402.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
400.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
400.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
396.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
396.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
381.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
380.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
379.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
378.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
371.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
366.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
366.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
354.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
351.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
347.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
344.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
343.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
341.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
333.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
331.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
313.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
298.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
295.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
294.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
294.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
291.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
273.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
259.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
257.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
246.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
238.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
190.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
132.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
114.1
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.
HNRNPC 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
281.9
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
564.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
488.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
452.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
442.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
438.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
428.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
421.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
419.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
412.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
411.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
398.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
392.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
389.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
388.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
387.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
375.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
372.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
370.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
370.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
369.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
368.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
365.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
354.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
353.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
353.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
350.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
348.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
348.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
347.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
345.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
343.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
343.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
343.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
341.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
341.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
340.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
339.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
337.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
336.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
333.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
333.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
333.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
333.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
332.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
332.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
331.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
329.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
329.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
328.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
328.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
327.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
325.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
325.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
324.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
323.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
321.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
320.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
319.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
318.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
317.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
317.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
317.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
316.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
316.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
316.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
316.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
315.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
313.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
311.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
311.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
308.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
308.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
307.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
307.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
307.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
305.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
303.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
302.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
301.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
300.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
300.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
299.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
296.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
296.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
296.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
294.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
293.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
293.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
293.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
292.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
291.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
291.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
290.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
289.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
288.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
288.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
285.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
285.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
284.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
283.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
282.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
282.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
281.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
280.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
280.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
279.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
279.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
278.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
278.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
277.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
276.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
274.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
274.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
273.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
273.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
272.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
271.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
271.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
270.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
268.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
267.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
267.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
266.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
266.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
264.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
264.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
258.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
258.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
258.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
256.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
256.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
256.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
256.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
254.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
254.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
254.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
253.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
251.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
251.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
250.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
249.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
249.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
248.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
245.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
245.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
245.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
243.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
242.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
242.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
242.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
241.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
240.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
239.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
239.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
236.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
236.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
236.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
235.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
234.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
232.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
231.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
230.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
227.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
224.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
223.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
223.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
220.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
219.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
217.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
215.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
215.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
213.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
212.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
211.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
211.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
211.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
210.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
209.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
209.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
207.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
207.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
206.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
205.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
203.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
202.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
199.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
193.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
193.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
190.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
190.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
189.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
189.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
187.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
187.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
180.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
170.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
167.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
164.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
163.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
162.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
162.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
158.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
155.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
154.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
140.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
131.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
32.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
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Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
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Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
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Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
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Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
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Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
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Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.4
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.