We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL3 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
2806.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5985.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
5177.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
5125.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
4837.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4830.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4718.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4589.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
4448.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4447.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
4428.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
4414.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4335.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4298.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4279.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4246.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
4211.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4187.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4101.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4099.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
4041.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4038.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4034.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4000.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3978.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3953.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3919.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3892.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3864.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
3848.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
3811.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
3787.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3787.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3777.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3759.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3722.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
3711.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
3710.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3703.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
3702.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3685.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3673.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3670.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3666.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
3661.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3658.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
3656.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3636.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3603.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
3602.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3596.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
3572.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
3561.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3555.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3533.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3525.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
3521.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3480.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
3456.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3435.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
3402.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3399.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
3351.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3348.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
3347.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3331.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3310.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3301.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3269.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3267.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
3237.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
3225.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3219.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3213.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
3212.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
3205.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3197.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3192.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
3185.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
3143.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
3141.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
3141.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
3131.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3122.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
3122.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
3110.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3072.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3067.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3053.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3051.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3045.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
3037.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
3035.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3025.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3007.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2992.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2975.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2971.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2969.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2947.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
2941.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2917.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2912.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2910.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
2905.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2880.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
2842.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2813.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2798.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2792.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2782.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2782.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2775.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
2768.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
2767.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2759.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2750.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2746.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
2741.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2736.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2730.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2726.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2714.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2711.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2702.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
2701.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2699.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2694.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
2675.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2675.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2662.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
2651.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2646.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2635.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2634.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2628.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2616.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
2609.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2602.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2589.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2586.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2579.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
2576.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2576.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2573.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2563.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2542.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2529.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2527.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
2521.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2514.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2503.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2497.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2497.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2483.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2482.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
2481.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
2480.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2452.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
2437.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2433.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2429.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
2427.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2426.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
2395.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2382.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
2380.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2372.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
2363.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2347.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2341.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2318.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2316.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
2295.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2285.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2281.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2250.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
2246.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2243.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2234.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2233.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
2232.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2231.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2220.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2220.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2216.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2204.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2193.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
2184.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2181.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
2177.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
2168.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
2167.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
2162.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2157.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
2149.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2147.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2140.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2133.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2122.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2120.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2119.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2113.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
2109.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2107.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2095.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2082.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2072.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2065.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
2061.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2058.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
2058.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
2053.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
2029.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2016.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2010.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
2004.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1989.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1978.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1977.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1972.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1971.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1966.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1963.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1943.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1931.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1918.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1917.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1860.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1846.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1833.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1792.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1751.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1746.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1740.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1726.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1699.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1677.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1674.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1673.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1666.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1634.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1624.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1623.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1563.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1544.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1533.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1529.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1511.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1483.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1479.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1429.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1403.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1392.9
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.
RPL3 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
1189.4
Number of samples
486
Samples
Sample
Description
TPM
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2697.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
2458.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2315.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2172.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
2124.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
2067.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
2035.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
2003.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1992.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1961.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1952.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1951.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1943.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1940.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1938.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1916.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1902.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1899.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1896.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1893.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1887.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1886.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1885.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1853.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1849.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1846.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1846.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1844.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1839.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1820.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1817.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1769.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1769.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1758.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1758.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1755.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1754.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1745.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1743.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1739.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1738.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1738.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1735.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1725.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1724.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1718.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1718.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
1705.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1694.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1691.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1679.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1679.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1675.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1673.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1667.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1665.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1658.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1639.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1631.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1629.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1627.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1625.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1624.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1623.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1618.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1612.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1602.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1601.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1596.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1589.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1586.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1584.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
1584.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1581.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1577.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1570.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1563.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1563.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1561.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1560.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1554.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1546.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1538.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1530.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1529.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1527.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1527.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1526.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1523.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1522.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1520.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1514.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1510.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1501.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1500.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1499.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1496.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1494.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1490.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1489.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1489.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1489.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1484.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1481.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1476.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1473.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1472.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1470.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1462.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1461.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1460.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1457.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1450.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1449.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1449.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1449.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1445.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1443.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1441.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1440.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1437.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1430.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1428.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1423.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1418.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1418.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1415.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
1415.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1412.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1407.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1405.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1403.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1399.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1398.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1384.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1382.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1378.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1377.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1375.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1373.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1369.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1367.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1360.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1358.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1350.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1350.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1347.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1343.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1341.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1340.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1335.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1334.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1330.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1328.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1328.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1328.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1326.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1325.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1325.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1322.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1319.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1319.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1318.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1315.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1308.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1308.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1307.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1300.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1300.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1298.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1296.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1294.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1290.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1290.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1289.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1281.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1278.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1275.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1273.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1258.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
1253.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1252.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1252.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1252.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1246.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1242.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1242.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1239.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1236.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
1234.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1234.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1233.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1232.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1228.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1228.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1228.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1227.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1224.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1223.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1220.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1219.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1216.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1208.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1206.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1204.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1203.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1195.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1195.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1189.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1186.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1186.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
1184.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1179.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1179.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1177.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1177.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1175.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1173.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1169.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1169.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
1167.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1163.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1162.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1159.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1158.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1157.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1154.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1154.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1153.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1153.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1152.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1152.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1147.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1146.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1145.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1144.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1141.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1141.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1139.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1126.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1124.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1123.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1122.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1121.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1121.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1119.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
1119.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1118.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1118.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
1117.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1117.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1117.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1116.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1111.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1110.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1110.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1110.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1108.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1108.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1106.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1106.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1106.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1106.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1105.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1102.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1100.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
1096.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1096.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1096.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1095.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1091.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
1090.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1089.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1087.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1085.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1085.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1084.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1084.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1083.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
1083.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1082.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1081.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1079.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1077.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1076.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1076.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1071.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1070.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1066.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1065.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1062.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
1061.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1061.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1060.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1055.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1052.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1047.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1046.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1042.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1041.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1040.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1037.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1030.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1028.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1028.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1027.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1022.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1016.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1016.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1015.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1011.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1011.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1010.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1010.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
1009.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1005.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1003.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1001.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
999.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
998.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
991.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
991.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
986.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
986.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
986.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
983.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
982.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
981.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
980.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
980.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
979.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
976.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
976.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
975.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
974.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
973.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
973.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
966.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
963.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
962.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
961.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
961.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
959.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
958.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
956.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
956.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
956.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
955.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
954.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
953.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
949.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
947.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
947.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
945.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
944.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
944.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
943.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
939.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
938.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
937.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
937.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
937.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
936.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
935.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
934.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
931.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
930.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
930.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
929.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
928.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
927.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
927.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
925.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
924.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
920.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
919.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
916.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
913.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
911.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
908.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
908.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
908.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
906.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
903.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
900.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
895.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
894.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
892.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
891.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
891.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
890.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
886.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
885.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
884.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
884.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
879.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
877.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
877.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
876.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
876.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
874.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
873.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
868.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
866.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
864.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
864.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
850.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
848.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
844.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
843.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
836.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
836.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
836.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
833.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
829.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
828.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
827.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
823.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
820.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
820.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
818.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
817.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
814.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
813.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
811.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
806.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
805.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
805.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
799.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
793.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
793.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
785.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
784.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
783.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
783.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
778.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
777.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
776.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
772.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
771.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
770.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
768.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
764.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
762.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
758.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
755.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
752.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
747.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
747.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
747.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
747.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
744.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
743.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
737.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
730.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
726.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
722.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
716.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
714.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
713.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
713.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
709.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
708.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
706.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
704.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
701.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
685.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
668.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
662.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
649.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
637.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
612.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
599.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
598.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
593.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
586.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
575.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
575.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
561.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
561.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
528.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
528.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
486.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
451.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
30.7
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.
RPL3 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
2697.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6503.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
4948.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
4614.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4533.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4472.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4380.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
4253.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
4100.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
4060.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3843.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
3810.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
3762.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3697.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
3427.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
3407.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
3370.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
3369.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
3365.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
3254.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
3193.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
3178.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3177.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
3059.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3053.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2932.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
2929.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2928.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2893.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2877.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2860.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2843.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2826.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2807.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2801.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2781.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2779.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2766.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2729.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2715.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
2707.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2689.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2683.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2671.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
2639.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
2589.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2571.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2560.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2498.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2497.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
2494.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2460.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
2439.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2373.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2362.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2320.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
2297.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2242.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
2213.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2202.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
2138.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
2138.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2127.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
2103.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2089.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
2021.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2020.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1985.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1985.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1976.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1927.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1925.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1916.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1913.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1897.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1878.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1862.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1836.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1815.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1800.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1695.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1668.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1644.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1615.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1599.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1546.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1482.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1345.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL3 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
999.2
Number of samples
207
Samples
Sample
Description
TPM
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
2173.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
2091.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2025.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1946.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1893.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1797.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1754.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1751.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1746.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1683.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1678.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1656.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
1645.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1625.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1624.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1622.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1540.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1525.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1451.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1432.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1431.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1423.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1422.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1411.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1399.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1388.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1382.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
1379.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1367.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1366.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1339.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1329.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1322.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1304.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
1304.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1302.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1298.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1297.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1278.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1272.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1272.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1271.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1267.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1261.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1258.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1254.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
1244.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1232.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1228.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1218.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1208.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1191.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1184.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1171.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1171.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
1168.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1164.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1157.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1155.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1147.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1142.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1142.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1137.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1136.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1134.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1126.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1126.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1120.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1110.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1106.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1104.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1093.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
1092.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
1084.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1082.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
1077.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
1076.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1067.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1060.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
1058.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1058.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1053.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1044.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1043.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1034.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1027.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
1026.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1026.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1018.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
1011.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1002.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1001.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
999.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
991.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
990.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
988.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
982.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
977.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
975.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
975.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
971.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
970.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
958.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
957.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
944.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
925.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
922.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
922.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
920.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
918.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
912.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
897.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
896.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
888.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
888.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
886.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
883.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
882.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
881.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
880.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
876.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
875.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
875.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
874.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
870.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
865.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
860.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
859.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
856.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
842.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
836.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
836.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
833.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
830.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
822.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
817.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
816.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
811.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
809.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
794.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
788.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
788.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
786.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
776.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
770.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
767.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
765.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
765.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
762.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
762.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
759.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
755.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
752.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
751.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
751.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
745.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
744.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
742.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
740.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
739.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
734.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
733.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
729.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
723.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
713.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
712.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
711.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
702.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
697.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
696.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
690.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
690.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
686.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
682.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
673.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
668.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
667.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
658.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
658.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
657.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
642.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
636.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
628.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
623.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
603.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
603.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
595.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
584.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
581.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
575.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
573.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
572.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
564.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
563.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
558.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
541.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
538.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
537.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
537.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
522.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
515.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
495.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
469.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
465.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
464.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
340.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.