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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL32 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
2471.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4284.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4223.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4181.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4180.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4149.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3950.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
3856.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3822.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
3742.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3725.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
3722.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3682.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3649.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3608.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3589.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3581.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3579.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3577.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3536.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
3530.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3519.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
3485.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
3479.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
3431.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3423.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
3412.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3393.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3389.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3384.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
3378.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
3376.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3364.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3303.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3295.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
3291.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3291.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
3287.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3271.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3268.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3256.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
3246.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3242.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
3239.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3203.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3172.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3167.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
3149.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
3105.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3048.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
3025.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3006.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2993.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2974.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2967.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2952.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2931.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2921.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2919.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2919.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2903.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2901.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2896.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2881.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2863.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2863.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2853.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2852.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
2848.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2846.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2832.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2831.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
2828.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2823.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2823.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2819.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2809.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2798.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2787.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2781.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2774.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2757.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
2750.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
2743.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2731.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2724.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2715.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2712.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2710.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2702.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2680.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
2670.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2670.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2668.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2667.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2662.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2659.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2649.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2648.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2645.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2637.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2614.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
2611.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2596.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2589.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2577.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2568.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
2566.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
2564.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2533.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
2522.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2522.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2514.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2512.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
2510.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2505.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2485.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2485.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2475.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
2473.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2469.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2467.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2463.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2460.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2453.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2451.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2438.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
2422.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2414.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
2401.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2390.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2389.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2382.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2379.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2374.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
2357.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2357.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2355.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
2341.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2337.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2335.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
2300.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2280.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
2279.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
2277.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
2264.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2260.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2257.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2249.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2247.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2238.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
2238.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
2233.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2224.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
2221.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2221.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2221.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2220.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2219.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2214.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2211.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
2200.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2178.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2171.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2168.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2154.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2149.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2145.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2142.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
2139.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2120.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
2118.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2111.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
2101.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2099.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2095.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
2092.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2092.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2088.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
2084.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2069.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2059.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2052.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2038.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2033.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2032.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1993.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1990.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1981.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1962.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1946.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1940.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1938.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1928.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1924.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1924.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1923.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1917.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1915.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1912.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1907.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1904.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1891.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1890.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1889.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1878.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1865.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1857.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1842.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1830.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1825.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1815.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1798.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1796.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1790.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1781.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1778.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1777.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1776.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1742.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1722.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1709.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1698.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1696.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1680.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1666.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1657.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1647.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1646.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1639.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1623.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1578.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1574.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1568.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1567.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1566.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1562.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1556.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1529.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1526.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1513.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1507.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1489.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1480.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1461.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1436.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1355.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1345.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1313.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1301.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1273.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1239.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1233.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1202.3
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.
RPL32 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
1616.3
Number of samples
486
Samples
Sample
Description
TPM
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
3244.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
2985.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2946.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
2942.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
2844.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
2773.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
2770.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
2766.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
2760.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
2735.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2722.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
2707.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
2675.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
2631.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
2616.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
2604.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
2597.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
2567.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
2524.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
2518.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
2499.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2468.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
2463.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
2456.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
2414.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
2382.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
2378.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
2375.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
2363.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
2362.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
2356.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
2351.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
2350.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2336.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
2329.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
2317.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
2316.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
2313.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2290.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
2284.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
2283.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
2276.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
2272.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
2266.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
2265.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
2260.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
2254.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
2254.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
2247.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
2233.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
2220.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
2218.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
2216.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
2202.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
2196.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
2196.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
2193.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
2189.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
2177.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
2176.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
2176.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
2166.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
2160.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
2159.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
2159.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
2155.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
2147.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2114.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
2107.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
2092.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
2082.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
2068.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
2064.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
2063.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
2060.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
2060.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
2057.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
2050.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
2044.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
2040.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
2035.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
2034.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
2033.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
2031.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
2025.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
2022.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
2018.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
2014.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
2014.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
2009.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
2008.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
2007.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
2005.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
2003.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
2003.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
2000.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1999.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1999.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1994.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1987.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1986.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1985.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1975.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1973.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1969.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1967.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1966.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1963.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1960.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1958.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1944.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1939.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1924.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1921.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1920.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1913.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1910.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1907.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1904.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1893.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1887.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1886.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1883.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1881.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1880.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1879.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1879.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1876.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1871.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1871.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1867.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1867.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1867.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1867.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1864.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1861.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1859.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1853.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1847.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1844.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1843.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1837.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1835.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1835.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1827.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1826.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1823.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1822.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1820.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1820.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1820.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1818.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1818.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1817.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1817.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1813.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1809.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1808.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1805.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1803.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1802.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
1801.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1800.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1788.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1787.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1778.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1777.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1777.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1768.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1767.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1764.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1762.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1754.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1750.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1743.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1742.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1737.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1734.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1733.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1731.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1731.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1725.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1723.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
1720.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1717.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1716.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1713.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1707.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1707.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1707.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1705.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
1704.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1690.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1690.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1689.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1687.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1686.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1685.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1685.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1684.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1681.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1679.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1675.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1670.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1670.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1668.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1663.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1662.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1660.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1658.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1650.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1649.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1648.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1647.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
1645.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1642.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1639.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1636.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1634.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1633.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1625.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1623.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1623.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1623.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1623.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1622.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1620.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1618.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1617.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1612.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1611.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
1610.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1607.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
1606.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1601.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1599.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1587.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1586.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1583.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1580.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1578.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1576.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1571.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
1568.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1567.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1563.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1562.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1562.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
1557.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1557.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1554.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1554.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1553.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1545.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1544.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1543.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1540.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1538.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1535.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1534.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1533.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1532.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1530.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1526.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1522.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1520.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1517.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1514.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1509.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
1506.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1505.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1497.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1495.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1492.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1491.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1487.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1484.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1483.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1481.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1478.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
1474.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1472.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1472.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1469.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1469.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1468.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1460.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1457.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1450.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1449.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1445.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1444.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1438.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1432.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1432.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1429.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1425.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1425.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1422.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1420.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1419.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1415.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1413.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1413.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1413.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1411.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1407.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1405.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1401.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1396.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1393.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1393.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1387.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1384.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1382.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1381.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1380.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1378.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1377.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1372.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1372.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1371.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1370.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1370.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1370.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1368.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1366.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1364.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1362.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1360.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1359.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
1358.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1357.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
1357.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1356.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1352.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1350.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
1349.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1346.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
1345.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
1344.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1343.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1342.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
1341.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1335.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1334.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1327.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1323.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1318.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1315.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1314.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1311.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1309.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1309.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1305.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1305.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1299.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1298.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1297.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1296.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1293.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
1292.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1291.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
1289.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
1288.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1283.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1283.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1282.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1277.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1277.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1274.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1271.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1271.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
1268.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1265.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
1264.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1264.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1262.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
1258.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1258.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1257.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1253.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1249.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1248.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
1244.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1242.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1242.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1242.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1241.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
1240.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
1238.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1234.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1232.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
1227.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1227.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1225.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1224.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1219.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1218.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1214.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
1213.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1210.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
1202.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1202.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1200.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1198.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1198.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1195.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
1194.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1192.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
1191.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
1191.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
1191.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1186.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
1180.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1173.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1173.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1169.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
1166.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1158.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
1151.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1150.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
1150.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
1147.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
1147.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1131.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1130.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1127.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1121.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
1117.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
1111.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1107.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1090.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1088.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
1086.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1084.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1083.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1079.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1075.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
1074.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1071.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1064.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1060.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1060.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
1056.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
1054.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1053.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1046.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1038.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1026.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1014.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
1004.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1000.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
998.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
987.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
986.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
986.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
986.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
982.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
975.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
966.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
964.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
964.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
961.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
954.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
950.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
948.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
944.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
927.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
921.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
902.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
887.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
881.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
865.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
863.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
861.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
851.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
757.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
728.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
722.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
705.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
702.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
631.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
537.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
38.4
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.
RPL32 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
2660.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5517.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5478.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4958.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4540.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
4094.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
3991.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
3827.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3783.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
3609.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3606.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3584.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3558.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
3497.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
3493.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3439.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3378.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3361.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
3359.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3294.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3282.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
3260.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
3238.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
3119.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
3049.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
3044.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2869.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2836.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2835.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2799.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2791.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2777.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
2748.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2743.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2719.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2703.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2700.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
2698.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
2681.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2662.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2660.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2660.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2644.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2633.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
2628.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2589.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
2572.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2561.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2547.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2464.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2440.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2436.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2428.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
2417.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
2414.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2375.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2356.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
2265.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2254.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2254.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
2186.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2150.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
2095.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
2083.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2069.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
2066.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
2063.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2037.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
2009.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1980.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1975.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1950.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1947.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1939.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1891.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1882.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1823.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1783.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1726.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1710.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1641.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1630.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1598.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1581.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1571.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1510.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 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.
RPL32 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
1353.6
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
3829.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
2696.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
2608.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
2474.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
2398.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2382.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
2370.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
2312.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
2269.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
2201.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
2148.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
2136.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
2066.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
2052.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1996.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1987.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1956.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1940.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1934.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1844.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1841.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
1813.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1797.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1786.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1751.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
1746.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1731.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1727.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1720.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1719.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1715.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
1709.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1701.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1700.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1700.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1699.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1689.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1682.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1681.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
1680.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1678.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1658.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1652.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1652.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
1652.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1644.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1644.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1634.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1633.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1629.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1629.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1626.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
1619.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1616.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1600.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1589.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1583.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1573.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1567.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1566.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1564.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1547.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1546.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1545.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1537.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1535.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1529.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1515.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1508.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1498.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1492.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1477.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1476.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1475.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1459.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1458.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1456.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
1448.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1445.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1443.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1442.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
1440.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1435.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1431.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1430.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1422.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1420.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1419.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1407.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1396.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1390.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1387.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1381.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1378.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1376.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
1368.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1359.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1359.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1358.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1345.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
1337.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
1334.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1330.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1324.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1323.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1311.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1309.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
1296.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1293.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1292.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1291.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1288.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1283.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
1282.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1281.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1275.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
1268.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
1264.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
1263.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
1252.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1249.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1227.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1219.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1216.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
1215.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1206.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
1195.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
1193.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1178.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1172.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
1168.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1158.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
1158.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1157.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1155.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1153.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1149.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1146.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
1143.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1138.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1138.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
1124.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
1120.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1094.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
1092.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
1090.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
1086.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
1082.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
1072.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1072.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1071.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
1055.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
1054.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
1045.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
1043.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1041.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
1039.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
1026.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
1023.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1018.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
1017.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
1013.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
1002.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
996.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
995.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
991.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
991.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
976.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
972.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
969.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
958.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
953.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
950.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
949.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
938.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
937.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
926.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
917.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
913.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
913.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
910.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
900.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
879.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
873.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
870.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
823.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
819.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
792.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
788.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
785.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
782.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
764.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
759.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
759.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
736.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
726.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
696.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
696.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
681.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
667.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
663.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
651.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
629.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
622.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
569.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
562.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
34.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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.