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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.
EEF1D 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
553.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1437.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1437.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1434.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1318.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1182.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1144.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1138.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1135.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1106.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1104.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1021.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1015.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
977.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
948.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
912.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
908.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
904.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
890.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
882.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
879.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
874.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
873.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
870.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
860.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
856.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
838.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
836.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
836.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
832.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
825.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
824.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
814.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
801.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
798.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
788.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
775.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
750.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
743.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
738.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
728.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
724.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
715.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
712.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
708.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
704.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
703.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
701.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
693.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
693.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
690.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
687.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
679.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
672.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
671.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
667.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
666.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
666.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
664.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
660.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
660.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
657.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
654.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
654.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
652.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
648.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
648.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
646.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
644.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
642.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
642.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
639.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
635.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
633.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
632.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
623.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
620.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
620.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
611.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
609.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
607.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
606.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
605.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
604.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
595.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
595.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
594.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
593.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
592.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
590.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
589.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
586.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
584.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
577.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
574.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
569.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
568.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
566.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
565.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
564.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
563.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
563.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
561.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
560.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
559.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
556.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
555.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
554.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
551.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
551.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
550.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
550.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
549.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
545.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
540.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
537.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
535.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
530.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
525.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
520.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
519.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
517.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
513.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
513.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
512.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
512.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
511.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
509.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
507.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
506.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
505.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
505.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
500.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
499.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
497.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
494.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
491.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
488.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
488.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
487.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
487.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
486.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
486.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
485.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
484.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
483.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
483.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
483.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
480.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
480.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
472.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
470.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
470.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
464.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
462.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
461.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
460.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
460.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
459.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
458.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
456.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
450.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
449.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
446.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
445.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
443.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
443.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
442.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
440.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
439.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
438.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
438.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
434.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
431.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
431.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
431.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
431.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
429.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
425.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
421.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
418.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
416.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
415.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
413.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
406.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
405.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
404.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
402.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
402.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
401.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
400.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
397.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
395.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
394.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
394.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
394.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
391.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
389.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
388.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
386.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
385.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
385.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
382.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
378.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
378.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
377.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
376.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
375.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
374.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
374.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
369.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
369.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
366.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
364.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
359.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
355.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
351.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
351.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
345.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
345.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
343.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
342.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
340.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
339.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
338.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
336.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
335.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
333.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
332.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
325.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
325.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
325.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
315.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
314.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
313.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
312.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
306.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
304.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
299.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
297.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
294.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
286.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
285.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
282.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
279.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
276.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
262.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
262.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
261.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
260.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
252.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
237.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
205.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
185.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 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.
EEF1D 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
297.0
Number of samples
486
Samples
Sample
Description
TPM
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
918.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
712.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
640.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
626.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
618.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
617.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
614.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
597.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
573.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
566.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
561.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
558.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
556.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
539.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
534.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
520.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
513.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
512.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
510.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
508.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
508.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
507.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
504.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
499.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
494.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
493.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
487.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
478.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
475.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
471.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
470.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
466.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
465.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
465.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
455.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
452.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
450.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
450.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
450.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
448.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
448.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
445.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
444.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
440.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
439.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
434.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
432.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
432.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
431.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
425.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
425.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
424.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
423.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
423.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
416.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
412.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
412.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
410.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
403.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
401.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
398.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
397.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
395.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
394.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
394.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
393.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
389.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
387.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
387.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
386.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
386.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
385.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
384.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
382.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
381.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
381.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
380.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
376.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
375.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
373.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
373.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
373.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
373.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
372.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
371.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
371.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
369.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
369.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
368.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
366.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
366.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
366.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
366.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
365.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
365.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
363.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
361.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
361.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
361.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
359.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
356.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
355.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
355.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
355.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
355.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
354.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
354.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
352.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
351.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
350.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
349.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
348.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
347.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
347.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
345.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
344.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
343.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
343.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
342.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
341.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
339.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
338.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
337.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
335.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
335.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
333.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
332.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
331.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
330.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
330.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
329.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
329.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
328.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
328.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
326.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
325.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
325.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
324.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
322.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
322.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
322.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
320.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
320.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
319.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
319.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
319.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
319.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
319.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
318.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
318.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
317.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
316.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
316.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
316.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
316.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
314.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
314.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
313.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
313.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
312.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
312.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
312.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
310.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
310.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
309.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
309.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
308.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
308.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
308.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
307.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
306.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
306.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
306.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
305.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
304.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
304.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
304.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
304.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
303.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
303.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
302.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
300.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
299.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
298.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
298.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
298.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
297.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
297.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
297.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
297.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
297.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
297.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
296.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
295.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
295.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
293.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
293.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
291.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
291.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
290.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
289.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
289.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
289.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
289.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
289.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
288.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
288.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
288.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
287.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
287.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
287.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
287.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
286.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
286.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
285.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
284.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
284.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
284.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
284.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
283.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
283.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
283.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
282.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
282.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
282.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
281.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
281.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
281.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
281.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
281.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
281.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
280.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
279.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
278.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
278.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
275.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
275.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
275.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
275.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
275.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
274.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
274.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
274.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
274.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
274.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
273.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
273.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
273.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
272.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
272.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
272.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
272.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
271.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
271.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
271.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
270.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
270.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
270.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
269.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
268.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
268.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
267.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
267.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
267.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
266.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
266.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
265.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
265.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
265.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
265.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
265.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
265.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
265.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
265.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
265.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
264.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
264.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
264.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
264.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
264.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
263.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
261.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
260.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
259.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
259.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
258.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
258.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
258.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
258.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
258.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
258.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
258.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
257.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
257.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
257.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
257.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
256.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
256.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
256.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
255.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
254.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
254.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
253.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
253.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
253.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
253.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
252.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
251.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
251.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
250.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
250.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
250.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
249.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
249.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
248.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
248.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
247.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
247.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
247.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
247.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
247.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
246.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
246.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
245.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
245.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
245.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
244.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
244.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
244.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
243.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
243.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
243.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
243.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
242.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
242.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
242.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
241.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
240.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
240.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
240.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
240.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
239.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
239.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
239.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
238.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
238.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
237.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
237.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
237.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
236.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
236.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
236.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
235.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
235.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
234.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
234.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
234.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
233.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
233.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
232.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
232.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
232.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
231.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
231.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
231.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
231.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
231.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
231.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
231.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
231.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
230.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
230.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
230.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
230.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
230.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
229.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
228.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
228.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
228.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
227.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
227.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
227.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
227.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
227.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
226.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
226.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
226.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
225.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
225.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
225.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
225.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
224.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
224.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
224.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
223.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
222.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
222.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
222.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
222.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
222.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
222.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
221.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
221.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
220.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
220.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
220.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
219.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
219.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
218.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
218.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
218.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
217.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
217.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
217.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
216.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
215.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
215.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
215.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
215.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
214.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
213.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
213.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
213.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
212.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
211.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
211.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
210.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
210.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
210.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
209.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
209.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
208.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
207.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
207.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
207.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
207.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
206.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
206.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
205.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
205.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
204.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
204.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
204.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
204.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
202.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
197.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
196.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
195.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
194.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
193.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
193.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
192.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
192.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
190.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
189.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
189.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
188.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
186.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
186.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
186.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
185.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
185.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
184.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
183.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
181.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
179.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
175.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
174.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
172.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
170.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
169.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
168.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
167.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
167.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
165.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
162.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
161.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
159.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
155.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
151.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
143.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
141.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
138.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
128.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
12.7
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.
EEF1D 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
606.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3263.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1842.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1294.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1293.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1202.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1103.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1074.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
958.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
892.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
822.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
810.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
759.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
758.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
746.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
746.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
723.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
719.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
705.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
693.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
658.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
657.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
650.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
645.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
641.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
632.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
627.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
618.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
602.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
597.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
592.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
591.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
590.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
587.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
577.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
575.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
568.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
567.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
564.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
562.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
543.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
542.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
541.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
536.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
533.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
529.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
527.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
525.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
525.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
519.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
511.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
511.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
508.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
500.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
490.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
485.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
482.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
463.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
461.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
453.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
449.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
440.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
437.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
432.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
431.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
427.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
424.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
424.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
423.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
417.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
412.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
408.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
398.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
390.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
389.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
387.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
382.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
345.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
341.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
333.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
332.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
320.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
318.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
315.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
289.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
281.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
276.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 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.
EEF1D 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
297.8
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
808.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
614.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
608.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
592.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
560.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
539.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
524.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
519.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
511.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
507.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
467.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
464.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
461.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
454.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
443.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
443.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
435.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
433.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
427.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
422.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
420.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
420.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
414.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
411.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
411.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
403.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
403.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
402.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
395.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
395.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
388.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
383.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
380.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
379.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
376.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
375.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
374.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
374.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
374.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
373.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
372.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
372.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
369.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
367.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
366.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
365.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
364.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
364.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
364.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
363.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
362.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
359.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
358.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
356.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
356.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
356.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
355.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
354.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
346.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
346.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
344.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
341.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
334.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
332.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
332.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
331.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
328.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
324.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
323.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
322.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
319.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
318.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
318.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
316.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
313.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
313.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
309.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
307.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
307.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
305.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
304.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
301.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
300.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
300.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
295.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
293.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
293.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
291.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
290.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
289.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
288.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
288.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
286.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
286.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
285.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
283.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
283.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
283.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
282.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
282.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
282.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
281.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
280.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
280.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
279.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
279.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
278.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
277.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
276.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
275.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
275.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
275.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
274.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
272.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
272.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
271.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
270.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
270.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
270.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
269.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
263.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
263.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
262.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
255.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
252.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
252.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
251.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
250.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
249.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
249.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
248.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
248.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
247.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
244.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
244.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
243.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
243.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
243.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
241.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
241.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
239.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
238.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
237.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
235.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
235.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
234.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
234.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
234.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
234.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
234.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
233.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
233.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
232.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
232.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
230.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
229.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
228.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
227.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
226.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
223.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
220.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
220.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
219.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
219.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
218.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
218.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
217.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
216.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
216.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
216.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
215.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
215.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
215.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
215.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
212.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
209.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
206.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
205.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
204.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
203.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
201.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
200.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
199.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
198.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
198.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
190.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
189.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
188.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
186.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
184.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
183.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
182.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
181.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
180.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
176.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
175.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
174.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
173.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
169.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
168.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
164.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
162.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
160.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
138.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
126.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
107.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
54.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
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Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
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Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
