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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.
RPL37A 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
3446.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7639.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7617.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6939.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6735.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6311.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
6065.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
6064.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5854.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
5768.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5730.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5689.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5651.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5646.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
5375.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
5339.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
5304.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5268.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5173.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5121.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5104.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
5011.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4981.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
4970.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4922.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4912.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
4859.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
4775.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
4699.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
4670.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4661.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4649.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4641.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4574.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
4555.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4488.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
4458.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4446.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
4439.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
4391.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4375.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4369.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
4369.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4362.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4348.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4318.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
4317.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4296.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4254.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4206.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
4204.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
4203.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4162.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4087.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
4068.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4067.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
4057.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
4049.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4023.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4022.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4008.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3993.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
3986.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3959.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3956.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3948.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3941.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3933.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3931.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3929.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3926.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
3919.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3900.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3895.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
3865.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
3827.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3813.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
3813.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
3812.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3807.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3805.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3799.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3756.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3743.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
3743.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
3741.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3740.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
3728.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3708.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
3703.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3700.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3698.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
3645.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
3628.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3613.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3586.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
3582.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3568.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
3542.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3537.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
3534.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3529.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3527.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3518.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3516.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
3464.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
3456.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
3430.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
3427.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3422.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3407.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3386.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3384.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
3382.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
3378.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3369.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3361.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3359.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3335.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3326.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
3323.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3314.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
3313.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
3307.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3299.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
3295.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3290.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
3285.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
3271.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
3266.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3253.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
3253.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3240.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3229.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3200.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
3199.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3193.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3192.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
3183.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3179.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
3178.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
3178.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3176.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
3173.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
3171.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3165.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3159.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3156.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
3145.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3142.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3139.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
3134.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
3130.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3115.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
3113.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
3095.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
3093.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
3088.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
3080.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3077.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3072.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
3069.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3069.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3058.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3049.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3036.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3018.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
3017.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
3014.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
3001.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2994.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2982.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
2979.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2966.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2871.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
2870.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
2862.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2846.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
2841.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2826.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2825.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2819.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2815.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
2810.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
2807.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
2801.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2796.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
2785.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2767.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2735.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
2730.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2729.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2728.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
2722.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2715.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2714.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
2703.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
2690.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2663.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2661.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
2644.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
2617.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2614.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2605.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2594.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
2592.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2589.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2589.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2586.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2584.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2576.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2560.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
2551.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
2506.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2505.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2484.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2476.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
2473.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2469.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2468.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2441.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
2438.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2415.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
2401.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
2396.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2318.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
2310.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2278.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2266.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
2222.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2213.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2159.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2141.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
2137.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
2102.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
2075.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
2070.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2039.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1974.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1959.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1925.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1915.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1897.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1874.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1835.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1828.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1812.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1770.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1741.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1733.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1673.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1605.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1590.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1382.9
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.
RPL37A 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
1478.0
Number of samples
486
Samples
Sample
Description
TPM
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
3003.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
2940.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
2883.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2821.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
2787.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
2541.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
2529.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
2525.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
2469.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
2444.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
2430.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
2423.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
2420.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
2418.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
2395.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
2346.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
2337.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
2330.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
2323.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
2310.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
2297.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
2272.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
2261.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
2259.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
2256.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
2195.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
2186.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
2186.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2184.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
2178.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2173.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
2172.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
2166.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
2158.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
2157.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
2148.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
2144.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
2143.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
2140.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
2129.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
2126.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
2110.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
2108.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
2108.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2083.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
2080.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
2063.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
2063.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
2052.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
2043.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2038.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
2034.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
2033.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
2025.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
2025.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
2000.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1998.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1998.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1989.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1989.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
1988.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1980.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1974.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1969.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1966.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1962.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1960.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1958.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1948.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1948.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1946.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1940.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1929.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1927.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1927.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1925.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1924.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1921.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1918.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1915.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1913.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1900.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1900.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
1892.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1887.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1883.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1881.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1879.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1879.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1879.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1876.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1873.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1868.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1866.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1865.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1864.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1864.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1863.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1850.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1846.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
1841.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
1841.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1834.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1833.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1821.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1818.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1817.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1807.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1806.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1798.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1798.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1794.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1794.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1779.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1767.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1764.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1761.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1761.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1758.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1757.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1754.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1752.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1751.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1747.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
1746.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1741.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1740.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1739.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1739.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1739.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1734.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1731.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1724.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1716.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1711.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1696.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1695.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
1695.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1689.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1669.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1668.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1667.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
1666.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1662.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1662.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1660.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1659.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
1657.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1654.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1652.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1651.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
1649.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1648.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1645.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1636.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1631.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
1626.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1623.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1619.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1616.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1614.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1614.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1614.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
1606.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1604.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1603.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1602.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1601.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1598.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1595.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1594.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1593.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1593.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1590.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1588.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1587.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1584.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1582.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1580.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1579.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1575.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1572.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1572.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1571.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1568.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1562.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1561.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1557.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1553.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1552.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1551.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1550.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1550.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1549.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1547.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1546.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1542.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1541.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1537.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1535.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1532.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
1531.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1530.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1528.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
1525.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1524.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1524.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1523.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
1522.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1519.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1517.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1513.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1510.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1509.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1507.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1507.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1506.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1503.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1500.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
1496.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1494.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1494.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
1492.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1491.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1490.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1487.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1485.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1483.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1481.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1481.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1479.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1473.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1472.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1470.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1467.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1467.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1465.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1460.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1453.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1451.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1450.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1447.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1443.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1442.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1438.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1429.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1429.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1428.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1427.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1426.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
1425.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1422.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1420.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1420.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1419.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1419.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
1418.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1418.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1415.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1414.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1412.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1412.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1411.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1409.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1409.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1405.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1403.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1401.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1400.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1397.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
1396.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1393.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1385.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1384.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1384.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1377.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1373.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
1373.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
1372.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1364.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1359.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1359.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1358.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1355.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1340.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1340.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1339.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1336.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1334.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1329.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1328.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1326.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1326.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1326.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
1324.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
1323.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1321.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1320.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1320.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
1318.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1314.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1313.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1310.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1309.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1308.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1306.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1304.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1300.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1299.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1298.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
1291.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1290.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1289.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1288.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1288.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1286.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1284.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1279.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1278.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1277.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1272.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
1271.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1270.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1268.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
1258.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1256.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1254.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1254.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1253.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1253.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1250.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1245.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
1244.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1244.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1244.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
1235.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1234.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
1233.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1222.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1221.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1221.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1221.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1219.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1218.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1217.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1215.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
1215.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1201.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1200.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1198.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1195.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1191.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1190.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1187.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
1181.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1179.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1175.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1174.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1174.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1173.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
1173.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1172.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1171.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1170.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1168.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1168.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
1167.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1166.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1165.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
1163.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1161.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1158.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1158.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1156.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1154.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1150.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1149.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
1147.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1142.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1140.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1140.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
1135.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1135.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1133.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
1133.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1133.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1126.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1124.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
1115.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1114.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1112.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1111.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
1111.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
1106.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1103.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1096.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
1096.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1093.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1090.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1089.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1085.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1085.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1083.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1082.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1079.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
1074.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
1073.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1071.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
1070.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1062.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1061.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1061.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
1060.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1057.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1055.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1050.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
1049.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
1046.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1043.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1040.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1038.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1038.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1023.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1019.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1016.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1015.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
998.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
997.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
994.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
994.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
992.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
987.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
984.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
982.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
969.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
966.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
965.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
963.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
954.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
952.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
947.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
945.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
945.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
939.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
938.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
934.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
929.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
921.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
921.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
921.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
916.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
914.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
913.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
887.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
884.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
883.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
876.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
862.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
853.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
844.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
828.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
827.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
825.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
794.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
781.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
777.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
777.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
776.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
764.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
760.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
758.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
736.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
716.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
715.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
689.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
671.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
664.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
647.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
644.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
632.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
632.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
618.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
612.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
532.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
28.7
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.
RPL37A 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
3817.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
9167.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6501.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6357.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6278.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5770.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
5686.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
5463.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5451.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
5162.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4980.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4898.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4743.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
4727.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4713.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4690.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
4663.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4569.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4517.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
4480.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
4446.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
4394.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4209.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4202.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
4187.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
4174.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
4171.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
4136.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4110.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4095.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4095.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4064.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4057.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
4033.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3985.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
3972.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
3924.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
3917.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3898.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
3894.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
3846.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
3845.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
3819.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
3814.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
3767.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
3738.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
3700.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
3685.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
3613.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
3568.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3537.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
3537.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3534.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
3533.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
3531.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
3502.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
3497.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
3438.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
3419.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3376.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3344.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
3340.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
3299.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
3231.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3177.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
3176.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
3119.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
3008.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2966.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
2948.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2905.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2889.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
2810.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
2799.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
2796.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
2743.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2650.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2629.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2586.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
2572.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
2571.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
2473.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2400.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2352.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
2268.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2152.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2122.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1789.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 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.
RPL37A 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
1186.1
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
3185.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
2522.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
2370.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
2313.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
2168.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
2142.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2039.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1969.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1821.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1821.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1812.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
1795.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1785.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1757.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1715.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1712.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1674.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1662.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1645.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1637.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1627.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1627.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1605.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1605.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1594.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
1590.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1573.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1551.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1548.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
1547.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1538.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1525.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1521.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1519.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1477.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1469.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
1469.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
1468.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1465.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1456.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1451.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1449.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
1444.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1432.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1426.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1408.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1405.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1392.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1382.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1381.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1381.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1377.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
1375.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1369.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1364.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1360.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1360.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1357.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1353.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1339.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1332.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1332.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1331.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1330.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1323.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
1304.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1300.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1296.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
1296.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
1294.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
1292.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
1289.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1283.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
1272.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1258.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1256.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1248.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1240.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1239.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
1239.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1236.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
1233.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1232.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
1230.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1229.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
1221.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1221.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1219.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1214.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1209.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1209.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
1203.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1195.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1190.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1189.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1188.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1183.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1177.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1176.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1163.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1158.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1146.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1145.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1145.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1144.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1142.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1141.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1139.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1138.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1138.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
1136.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
1135.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1130.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1127.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1126.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1125.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1124.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
1120.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
1111.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
1104.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
1097.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1088.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
1083.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1077.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
1071.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1056.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
1044.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1041.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1038.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1031.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1030.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
1026.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1024.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1018.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
1014.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1011.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1010.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
998.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
996.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
990.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
990.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
985.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
980.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
977.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
975.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
974.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
971.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
961.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
956.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
956.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
955.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
955.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
944.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
937.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
930.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
925.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
912.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
900.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
895.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
895.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
891.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
885.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
885.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
877.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
866.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
852.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
850.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
849.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
847.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
847.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
842.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
834.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
833.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
823.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
815.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
814.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
813.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
807.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
800.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
799.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
796.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
788.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
788.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
778.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
777.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
775.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
767.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
763.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
758.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
754.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
742.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
733.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
725.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
716.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
700.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
688.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
667.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
667.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
662.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
648.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
628.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
614.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
611.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
583.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
560.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
518.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.