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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.
RPL22 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
598.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1703.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1188.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1114.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1044.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1035.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1019.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
1006.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
935.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
923.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
908.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
902.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
898.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
867.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
860.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
849.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
841.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
831.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
830.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
817.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
809.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
808.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
808.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
802.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
801.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
800.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
796.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
792.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
790.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
789.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
773.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
770.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
768.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
767.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
765.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
764.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
759.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
753.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
750.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
748.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
748.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
744.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
743.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
742.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
739.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
736.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
736.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
735.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
735.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
730.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
727.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
727.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
726.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
725.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
724.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
724.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
719.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
719.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
716.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
713.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
711.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
710.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
706.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
703.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
701.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
699.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
699.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
690.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
690.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
689.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
687.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
685.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
676.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
672.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
670.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
668.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
666.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
664.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
664.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
661.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
660.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
656.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
656.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
653.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
652.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
651.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
651.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
650.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
650.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
648.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
647.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
646.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
644.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
641.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
641.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
636.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
635.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
634.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
631.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
631.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
630.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
628.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
625.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
625.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
623.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
618.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
617.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
616.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
614.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
613.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
613.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
612.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
610.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
610.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
609.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
608.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
608.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
608.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
607.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
604.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
604.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
604.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
602.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
601.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
598.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
597.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
597.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
593.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
592.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
591.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
585.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
584.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
583.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
582.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
582.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
581.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
580.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
580.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
579.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
574.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
572.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
570.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
569.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
567.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
567.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
562.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
557.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
557.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
557.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
556.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
554.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
551.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
547.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
544.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
544.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
542.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
542.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
541.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
540.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
540.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
538.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
534.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
532.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
531.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
528.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
527.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
525.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
521.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
520.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
518.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
517.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
516.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
515.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
513.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
512.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
511.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
511.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
508.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
503.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
499.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
498.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
498.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
496.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
495.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
494.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
494.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
494.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
492.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
490.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
484.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
484.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
484.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
481.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
477.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
476.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
472.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
472.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
470.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
469.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
469.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
468.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
463.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
460.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
457.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
451.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
447.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
445.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
440.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
439.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
438.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
437.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
433.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
429.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
426.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
425.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
421.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
420.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
419.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
415.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
412.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
411.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
407.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
407.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
406.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
406.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
405.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
400.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
398.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
393.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
392.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
386.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
383.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
381.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
376.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
375.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
373.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
372.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
372.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
371.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
362.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
354.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
352.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
345.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
343.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
326.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
324.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
322.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
311.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
304.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
300.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
292.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
279.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
271.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
267.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
RPL22 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
173.6
Number of samples
486
Samples
Sample
Description
TPM
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
375.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
364.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
353.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
343.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
328.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
317.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
298.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
295.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
290.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
290.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
289.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
288.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
288.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
282.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
279.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
279.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
275.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
271.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
268.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
266.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
264.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
264.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
263.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
263.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
261.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
260.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
259.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
259.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
255.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
254.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
254.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
253.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
253.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
253.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
252.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
251.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
251.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
251.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
249.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
249.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
248.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
247.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
247.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
245.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
245.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
244.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
244.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
243.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
242.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
242.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
242.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
241.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
240.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
240.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
240.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
239.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
238.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
238.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
237.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
237.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
237.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
236.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
235.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
234.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
233.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
233.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
231.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
230.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
230.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
230.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
229.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
229.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
229.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
228.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
228.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
227.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
226.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
226.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
226.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
225.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
225.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
225.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
224.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
224.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
224.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
223.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
223.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
223.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
223.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
222.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
222.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
221.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
221.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
221.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
220.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
220.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
220.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
219.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
217.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
217.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
216.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
213.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
213.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
213.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
212.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
212.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
212.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
211.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
211.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
210.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
210.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
210.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
209.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
209.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
209.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
208.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
206.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
206.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
205.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
205.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
205.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
205.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
205.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
204.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
204.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
203.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
202.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
202.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
202.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
201.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
201.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
200.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
200.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
200.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
200.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
200.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
199.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
199.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
199.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
198.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
198.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
198.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
197.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
196.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
196.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
196.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
195.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
195.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
195.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
195.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
195.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
194.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
194.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
194.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
194.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
194.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
194.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
193.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
193.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
193.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
193.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
193.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
192.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
192.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
191.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
191.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
190.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
190.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
190.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
188.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
188.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
187.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
187.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
186.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
186.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
186.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
186.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
185.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
185.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
184.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
183.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
182.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
182.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
182.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
180.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
180.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
180.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
180.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
180.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
180.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
180.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
180.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
179.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
179.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
178.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
178.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
178.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
178.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
178.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
178.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
178.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
178.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
178.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
177.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
177.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
177.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
177.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
177.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
177.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
177.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
177.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
176.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
175.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
175.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
174.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
174.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
174.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
174.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
173.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
173.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
172.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
172.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
172.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
172.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
170.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
170.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
170.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
170.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
169.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
169.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
169.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
169.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
169.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
168.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
168.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
168.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
168.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
167.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
167.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
167.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
167.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
167.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
167.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
167.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
167.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
166.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
166.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
166.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
165.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
165.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
165.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
164.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
164.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
164.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
164.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
164.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
164.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
163.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
163.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
163.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
163.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
163.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
162.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
162.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
161.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
161.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
161.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
161.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
160.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
160.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
159.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
159.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
159.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
159.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
159.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
158.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
158.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
158.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
158.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
158.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
158.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
157.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
157.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
157.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
156.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
156.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
156.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
156.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
156.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
156.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
156.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
156.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
156.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
156.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
155.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
155.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
155.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
154.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
153.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
153.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
153.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
153.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
153.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
153.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
153.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
153.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
153.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
152.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
152.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
152.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
152.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
152.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
151.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
151.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
150.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
150.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
150.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
150.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
150.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
149.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
149.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
149.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
149.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
148.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
148.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
148.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
148.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
148.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
147.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
147.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
147.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
147.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
147.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
147.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
147.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
147.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
146.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
146.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
145.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
145.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
145.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
145.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
145.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
144.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
143.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
143.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
142.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
142.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
142.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
141.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
141.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
141.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
140.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
139.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
139.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
139.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
138.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
138.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
138.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
137.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
136.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
136.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
136.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
135.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
135.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
135.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
135.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
135.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
135.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
134.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
134.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
134.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
133.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
133.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
133.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
133.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
133.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
133.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
133.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
132.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
132.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
132.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
132.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
131.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
131.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
131.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
130.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
130.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
130.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
129.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
129.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
129.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
129.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
128.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
127.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
127.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
127.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
127.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
127.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
126.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
126.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
126.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
126.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
126.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
126.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
125.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
125.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
125.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
124.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
124.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
124.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
123.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
123.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
123.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
123.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
122.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
122.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
122.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
121.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
121.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
121.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
120.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
120.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
120.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
119.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
119.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
119.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
118.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
118.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
118.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
117.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
116.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
116.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
116.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
116.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
116.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
116.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
115.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
114.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
114.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
112.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
112.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
111.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
109.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
109.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
108.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
108.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
107.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
107.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
107.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
107.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
106.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
105.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
104.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
104.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
103.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
101.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
100.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
100.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
100.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
99.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
99.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
99.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
98.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
97.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
97.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
97.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
95.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
95.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
93.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
91.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
89.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
89.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
89.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
87.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
84.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
84.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
83.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
81.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
81.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
77.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
77.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
75.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
71.7
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.
RPL22 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
618.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1170.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1134.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1007.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
973.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
967.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
905.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
905.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
875.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
828.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
819.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
818.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
798.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
785.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
782.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
764.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
763.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
746.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
743.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
742.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
740.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
738.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
735.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
733.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
721.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
716.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
712.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
711.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
704.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
687.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
671.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
666.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
664.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
663.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
662.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
659.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
645.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
639.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
639.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
636.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
636.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
634.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
624.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
621.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
620.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
617.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
614.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
608.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
605.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
600.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
590.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
590.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
586.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
577.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
570.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
548.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
543.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
532.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
517.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
514.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
511.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
495.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
492.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
481.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
480.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
477.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
476.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
474.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
474.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
470.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
465.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
464.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
458.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
454.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
439.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
434.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
429.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
418.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
414.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
411.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
408.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
398.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
374.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
366.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
342.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
342.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
312.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
306.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 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.
RPL22 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
154.4
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
334.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
318.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
312.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
300.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
297.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
265.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
261.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
259.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
258.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
258.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
256.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
254.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
252.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
245.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
244.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
241.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
240.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
231.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
229.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
220.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
219.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
219.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
217.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
214.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
213.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
212.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
211.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
207.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
207.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
207.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
206.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
206.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
205.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
203.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
203.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
203.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
201.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
201.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
200.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
198.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
197.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
195.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
194.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
194.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
193.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
193.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
190.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
188.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
187.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
186.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
186.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
186.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
185.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
185.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
185.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
183.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
183.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
182.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
181.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
180.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
180.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
180.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
179.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
177.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
176.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
174.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
173.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
173.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
172.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
171.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
170.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
170.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
170.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
168.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
167.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
164.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
164.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
163.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
163.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
163.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
162.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
162.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
162.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
161.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
160.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
160.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
159.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
158.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
157.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
157.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
156.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
156.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
155.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
154.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
153.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
153.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
153.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
152.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
152.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
150.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
150.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
147.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
147.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
147.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
146.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
146.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
145.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
142.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
142.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
141.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
140.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
139.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
139.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
139.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
138.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
137.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
137.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
137.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
136.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
135.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
134.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
134.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
132.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
130.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
130.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
130.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
129.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
129.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
128.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
128.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
128.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
128.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
128.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
128.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
127.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
127.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
126.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
126.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
126.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
126.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
125.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
125.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
124.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
123.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
123.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
122.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
120.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
120.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
119.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
119.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
118.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
117.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
117.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
115.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
115.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
114.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
113.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
112.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
112.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
112.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
112.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
111.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
111.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
111.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
110.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
110.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
107.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
106.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
105.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
105.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
104.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
103.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
103.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
102.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
100.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
99.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
99.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
99.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
98.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
98.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
97.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
97.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
96.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
96.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
95.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
95.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
94.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
93.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
93.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
92.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
91.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
91.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
89.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
89.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
87.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
87.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
87.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
86.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
84.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
84.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
81.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
78.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
74.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
73.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
73.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
71.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
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Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
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Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
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Normal
0.1
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Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
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Normal
0.0
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Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
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Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
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Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
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Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
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Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
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Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
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Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
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Tumor
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
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.
The Human Protein Atlas project is funded
