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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.
RPL28 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
2484.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6856.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6000.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
4872.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4808.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4700.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4666.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4494.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
4057.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
4035.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3994.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3940.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3931.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3916.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3834.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
3817.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3731.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3666.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3665.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3653.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3622.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
3587.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3558.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3551.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
3549.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3529.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3487.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3455.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3409.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3402.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3398.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3392.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3367.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
3353.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
3353.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
3300.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3280.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3274.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3231.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3214.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3199.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
3199.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3189.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3186.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3182.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3142.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
3128.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3114.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3100.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3093.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
3086.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3085.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3048.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3040.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3035.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
3028.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3027.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
3009.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2985.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2970.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2968.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2964.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
2943.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2923.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2923.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
2920.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2903.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2891.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2889.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2885.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2882.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2872.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
2867.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2845.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
2843.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
2828.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2814.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2800.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2795.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2794.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2781.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2780.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2757.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2740.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2738.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2731.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2717.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2711.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2702.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2693.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2692.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2681.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2671.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
2669.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
2643.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2630.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2615.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2603.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2588.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
2581.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2573.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2570.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2562.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2561.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2556.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
2552.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2552.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2534.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2526.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
2522.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2514.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2506.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2485.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
2469.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2467.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2467.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2466.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2466.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2457.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2457.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
2457.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2455.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
2452.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2448.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2437.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2429.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2422.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2411.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2407.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
2383.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2379.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2377.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2369.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2363.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2361.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
2354.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2354.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2345.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2318.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
2315.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
2306.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2305.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2288.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2286.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2272.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2258.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2256.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2250.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2250.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2246.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
2242.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2215.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2209.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2202.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
2198.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2195.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
2192.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2191.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2191.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2181.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2161.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2160.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
2156.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2147.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2144.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2141.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2141.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2140.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
2140.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2134.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2125.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2112.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2110.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2101.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2093.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2093.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
2092.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
2064.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2057.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2044.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2043.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2019.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2016.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2011.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2003.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
2003.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1994.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1992.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1980.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1967.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1957.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1951.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1939.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1934.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1928.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1922.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1922.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1915.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1911.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1896.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1872.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1869.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1864.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1863.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1852.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1833.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1806.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1802.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1778.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1769.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1726.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1725.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1719.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1708.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1698.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1696.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1688.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1676.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1669.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1665.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1664.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1638.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1638.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1624.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1620.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1619.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1614.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1606.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1597.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1593.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1576.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1572.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1568.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1526.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1523.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1506.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1476.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1459.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1435.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1420.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1407.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1394.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1373.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1359.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1277.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1206.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1205.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1183.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1135.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
914.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
898.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
789.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
680.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
677.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
RPL28 is potential prognostic, high expression is unfavorable 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
1354.7
Number of samples
486
Samples
Sample
Description
TPM
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
3373.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
3265.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
2863.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
2667.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2556.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
2524.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
2408.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
2381.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
2342.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
2304.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
2280.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
2280.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
2233.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
2228.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
2205.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
2201.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
2196.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
2162.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
2134.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
2133.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
2130.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
2122.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
2115.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2094.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
2061.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
2048.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
2047.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
2046.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
2016.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
2016.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
2010.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1993.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1989.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1984.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1984.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1980.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1964.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1963.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1958.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1947.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1939.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1929.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1922.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1918.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1912.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1912.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1911.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1902.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1896.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1887.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1882.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1882.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1871.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1871.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1867.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1867.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1853.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1839.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1836.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
1832.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1820.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1819.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1819.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1817.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1808.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1801.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1797.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1793.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1788.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1781.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1779.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1766.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1760.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1755.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1754.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1751.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1750.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1747.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1746.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1745.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1745.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1730.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1719.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1718.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1712.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1710.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
1703.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1700.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1698.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1694.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1691.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1686.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1681.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1679.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
1679.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1677.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
1673.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1672.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1670.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1665.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1662.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1646.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1644.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1641.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1640.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1638.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1634.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1634.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1632.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1631.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1628.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1626.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1626.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1619.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1617.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1616.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1616.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1615.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1613.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1609.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1600.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1590.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1585.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1582.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1573.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1561.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1558.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1557.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1556.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1552.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1552.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1544.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1541.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1540.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1539.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1539.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1536.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1535.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1535.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1533.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1528.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1527.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1521.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1520.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1518.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1517.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1516.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1513.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1512.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1509.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1507.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1504.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1498.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1497.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1496.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1494.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1492.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1488.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1488.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1484.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1479.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1479.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1478.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1474.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1473.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
1468.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1460.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1460.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1447.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1447.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1446.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1446.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1443.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1443.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1443.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1440.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1436.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
1435.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1433.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1432.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1431.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1428.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1427.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1421.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1420.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1419.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1416.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1416.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1415.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1412.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1407.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1406.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1405.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1404.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1403.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1401.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1400.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1398.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1397.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1397.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1393.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1393.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1392.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1391.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1391.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1389.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1388.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1387.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1387.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1387.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1385.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1385.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1381.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1381.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1379.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1378.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1378.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1375.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1374.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1371.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1370.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
1368.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
1367.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1367.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1366.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1365.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1358.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
1358.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1357.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1357.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1351.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
1347.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1345.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1343.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1341.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1340.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1337.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1336.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1332.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1330.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1330.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1327.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1318.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1318.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1316.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1314.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1314.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1312.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1310.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1303.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1300.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1298.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1297.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1296.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1295.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1294.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1288.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1287.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1287.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1287.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
1284.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1281.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1279.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1279.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1278.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1277.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1273.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1268.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1267.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1267.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1266.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1260.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1260.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1256.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1254.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1254.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1254.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1254.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1253.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1253.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1252.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1251.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1250.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1249.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1247.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1244.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1242.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1240.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1239.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
1238.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1236.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1229.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1229.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1223.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1222.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1222.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1215.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1213.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1212.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1208.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1201.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
1201.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1199.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1197.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1194.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1194.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1189.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1189.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1188.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1188.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
1184.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1181.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1177.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1169.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1162.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
1157.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1157.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1156.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
1156.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
1155.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1154.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1154.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1153.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1153.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1152.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1152.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1150.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1148.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1147.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1146.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1146.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1146.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1145.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1142.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1141.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1140.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1138.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1133.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1132.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1127.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
1126.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1126.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1122.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
1121.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1117.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1116.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1116.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
1116.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1113.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1112.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1112.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1106.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1095.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
1091.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1091.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
1089.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1083.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1082.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1081.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1079.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1077.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1074.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1074.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1071.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1070.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1069.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1066.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1066.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1065.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1060.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
1044.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1041.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1040.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
1040.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1036.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
1035.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1035.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1034.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1031.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1031.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1030.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
1028.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1028.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1026.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1026.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1026.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
1024.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1023.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1021.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1017.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1007.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1004.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
999.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
997.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
992.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
991.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
988.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
987.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
982.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
980.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
978.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
974.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
973.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
973.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
968.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
963.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
962.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
960.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
957.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
955.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
953.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
951.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
945.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
940.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
935.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
926.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
924.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
922.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
919.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
919.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
918.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
913.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
911.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
908.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
908.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
906.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
901.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
900.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
894.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
893.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
893.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
892.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
887.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
885.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
884.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
866.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
865.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
864.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
863.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
860.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
857.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
855.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
849.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
844.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
841.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
840.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
840.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
836.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
833.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
828.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
827.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
827.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
823.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
813.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
808.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
807.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
807.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
806.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
799.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
790.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
790.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
787.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
787.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
787.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
772.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
771.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
764.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
761.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
748.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
729.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
703.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
702.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
698.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
691.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
690.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
687.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
640.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
633.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
632.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
617.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
605.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
598.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
575.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
500.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
32.1
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.
RPL28 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
2397.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
10681.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
4119.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4005.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
4002.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3961.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3887.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
3517.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
3499.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
3401.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
3159.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3128.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
3037.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2911.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2902.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2853.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2741.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2682.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2680.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2667.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2659.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2643.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2638.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
2633.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2631.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2628.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2621.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2621.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2618.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2572.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
2549.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2528.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2488.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2434.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
2418.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2374.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
2368.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
2309.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2260.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2253.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2248.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
2240.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
2239.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2202.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2200.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2191.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2186.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
2183.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2177.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2175.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2167.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2153.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
2141.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2110.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
2099.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2091.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
2084.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2080.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2069.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2049.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
2043.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1972.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1922.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1916.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1899.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1898.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1875.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1803.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1793.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1787.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1773.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1746.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1744.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1738.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1712.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1693.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1692.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1653.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1581.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1550.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1543.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1480.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1473.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1422.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1377.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1255.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1242.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1195.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 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.
RPL28 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
1146.7
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
2939.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
2383.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
2238.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
2223.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2202.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
2063.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1923.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1902.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1872.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1826.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1770.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1764.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
1750.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1725.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1701.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1658.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1654.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1646.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1630.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1616.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1612.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1597.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1595.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1583.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1580.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1580.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1575.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1562.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
1553.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
1517.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1468.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1451.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1443.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1438.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
1428.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
1423.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1417.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1408.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1403.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1403.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1401.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1392.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1388.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1373.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1366.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1366.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1362.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
1355.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1354.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1350.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1347.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1344.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1342.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1336.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1335.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1329.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
1308.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1306.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1306.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1303.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
1297.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
1297.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
1290.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1283.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1273.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1263.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1253.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1249.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1249.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1245.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
1197.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1193.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1193.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1187.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1183.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1179.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1179.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1177.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1177.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1174.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1169.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1162.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1157.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1157.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
1153.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1150.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1148.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
1146.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1146.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1144.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1142.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1135.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1130.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1129.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1126.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1126.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1119.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1118.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1117.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1116.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
1112.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
1112.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1110.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1107.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
1107.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1106.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1104.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1101.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1098.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1098.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1097.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
1090.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1086.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1074.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1073.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1070.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1069.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1069.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
1068.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1068.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
1067.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
1062.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1052.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1045.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1043.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1040.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1037.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
1035.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1026.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1023.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
1022.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
1014.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1010.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1009.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
1001.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
1000.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
999.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
992.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
990.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
988.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
986.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
977.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
967.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
965.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
944.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
942.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
940.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
934.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
932.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
912.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
898.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
897.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
895.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
893.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
893.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
888.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
888.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
887.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
882.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
879.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
877.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
875.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
862.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
861.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
860.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
856.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
854.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
853.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
853.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
852.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
851.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
846.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
845.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
835.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
810.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
809.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
809.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
808.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
806.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
792.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
788.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
786.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
778.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
757.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
753.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
748.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
745.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
736.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
732.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
717.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
709.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
701.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
698.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
698.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
631.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
625.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
611.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
609.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
603.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
593.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
580.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
541.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
532.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
524.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
389.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
372.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
44.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-1.3
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.