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RPL12
HPA
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CANCER COLORECTAL CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
COAD TCGA COAD VALIDATION READ TCGA READ VALIDATION PROTEIN COAD CPTAC PROTEIN EXPRESSION
ANTIBODIES
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Dictionary
Colorectal cancer
Human cancer
Colon adenocarcinoma
Rectum adenocarcinoma
COLON ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

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.

RPL12 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.

: 2585.74
Median expressioni

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.

: N/A
Median follow up timei

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 pTPM 3394.3
Number of samples 254
Samples
Sample Description pTPM
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 7722.4
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 7678.5
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 6912.8
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 6766.2
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 6657.4
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 6447.0
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 6428.5
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 6414.1
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 6411.5
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 6293.0
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 6026.6
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 5893.1
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 5778.4
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 5766.6
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 5740.0
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 5714.9
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 5701.5
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 5694.3
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 5477.7
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 5459.5
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 5218.4
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 5204.6
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 5204.6
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 5115.3
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 5063.9
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 4991.4
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 4943.0
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 4881.6
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 4801.1
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 4799.9
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 4781.1
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 4749.0
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 4717.4
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 4693.4
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 4648.5
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 4531.3
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 4531.1
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 4518.7
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 4480.4
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 4456.6
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 4455.6
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 4443.0
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 4421.8
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 4408.7
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 4397.1
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 4354.8
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 4345.4
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 4343.2
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 4337.3
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 4325.3
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 4303.5
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 4219.8
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 4188.1
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 4186.9
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 4178.6
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 4177.0
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 4164.9
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 4151.2
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 4148.0
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 4145.7
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 4126.8
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 4105.0
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 4076.0
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 4059.0
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 4038.2
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 4027.6
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 4017.2
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 3975.4
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 3973.0
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 3957.4
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 3930.3
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 3909.8
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 3908.8
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 3882.5
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 3861.5
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 3836.4
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 3816.4
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 3813.6
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 3795.0
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 3789.2
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 3768.4
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 3762.4
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 3756.8
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 3748.9
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 3735.6
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 3726.3
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 3725.5
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 3700.5
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 3694.9
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 3676.7
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 3614.3
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 3549.8
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 3549.7
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 3547.0
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 3536.5
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 3524.8
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 3517.5
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 3509.4
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 3469.0
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 3458.5
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 3454.2
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 3448.5
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 3424.7
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 3409.0
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 3405.7
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 3402.0
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 3387.8
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 3381.7
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 3353.1
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 3336.1
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 3320.1
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 3310.9
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 3293.9
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 3288.0
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 3274.0
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 3254.6
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 3249.5
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 3247.6
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 3226.3
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 3225.9
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 3224.2
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 3222.3
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 3199.5
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 3161.2
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 3156.3
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 3156.1
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 3135.0
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 3101.1
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 3100.9
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 3094.5
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 3089.3
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 3082.6
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 3078.8
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 3072.0
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 3067.1
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 3065.2
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 3061.3
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 3059.0
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 3051.2
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 3044.2
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 2977.9
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 2977.6
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 2975.9
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 2975.1
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 2964.9
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 2962.5
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 2960.9
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 2960.2
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 2951.7
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 2941.7
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 2920.6
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 2917.3
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 2912.9
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 2912.3
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 2892.4
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 2883.9
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 2858.5
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 2842.5
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 2827.6
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 2814.7
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 2784.5
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 2758.9
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 2757.1
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 2739.4
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 2738.4
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 2738.0
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 2724.0
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 2723.5
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 2713.6
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 2711.6
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 2707.1
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 2703.1
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 2698.1
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 2692.0
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 2688.6
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 2684.6
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 2684.1
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 2680.3
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 2680.2
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 2673.1
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 2656.6
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 2655.1
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 2645.5
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 2636.4
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 2626.8
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 2622.2
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 2608.0
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 2606.9
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 2601.1
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 2587.3
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 2585.7
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 2544.3
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 2513.4
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 2478.6
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 2474.5
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 2465.6
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 2462.8
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 2448.4
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 2443.2
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 2440.8
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 2432.8
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 2428.4
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 2415.7
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 2377.8
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 2376.9
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 2376.7
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 2374.8
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 2369.7
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 2355.1
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 2338.4
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 2325.7
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 2302.8
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 2293.5
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 2283.9
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 2278.3
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 2270.8
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 2266.1
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 2261.4
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 2227.9
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 2202.5
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 2184.6
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 2179.7
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 2173.9
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 2155.2
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 2136.5
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 2114.2
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 2109.5
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 2103.1
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 2096.3
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 2080.8
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 2071.2
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 2049.1
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 2046.4
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 2044.6
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 1969.7
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 1967.7
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 1896.3
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 1890.9
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 1875.1
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 1869.9
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 1859.6
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 1855.0
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 1820.0
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 1809.4
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 1783.7
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 1758.1
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 1757.9
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 1651.1
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 1628.2
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 1589.8
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 1589.0
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 1491.8
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 1468.4
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 1306.7
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COLON ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

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.

RPL12 is not prognostic in Colon Adenocarcinoma (validation)


Stage:





Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 1846.61
Median expressioni

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.

: N/A
Median follow up timei

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 pTPM 1458.0
Number of samples 486
Samples
Sample Description pTPM
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 3323.8
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 3300.9
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 3151.0
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 3098.8
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 3020.4
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 2876.6
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 2864.8
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 2802.0
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 2773.5
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 2725.1
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 2689.7
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 2592.8
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 2588.8
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 2576.0
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 2564.4
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 2542.5
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 2494.3
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 2482.1
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 2479.0
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 2462.2
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 2427.3
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 2417.9
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 2397.8
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 2392.0
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 2388.2
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 2384.4
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 2354.5
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 2332.4
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 2304.0
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 2288.4
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 2288.1
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 2285.6
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 2280.6
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 2278.2
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 2268.0
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 2255.0
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 2249.8
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 2224.7
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 2213.1
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 2204.9
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 2202.7
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 2199.7
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 2188.9
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 2176.9
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 2176.4
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 2174.9
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 2158.8
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 2156.0
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 2145.8
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 2143.3
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 2137.5
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 2117.1
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 2115.6
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 2096.2
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 2093.3
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 2079.6
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 2077.1
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 2074.3
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 2072.4
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 2042.3
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 2037.0
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 2021.3
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 2020.1
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 2017.4
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 2017.2
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 1992.9
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 1981.9
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 1972.1
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 1968.0
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 1968.0
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 1965.1
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 1963.8
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 1959.1
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 1958.2
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 1950.8
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 1940.1
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 1937.4
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 1924.4
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 1910.0
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 1909.7
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 1908.2
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 1904.4
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 1903.6
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 1900.8
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 1896.6
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 1894.1
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 1888.2
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 1884.3
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 1880.4
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 1872.6
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 1868.3
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 1864.1
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 1863.8
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 1862.5
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 1862.1
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 1855.9
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 1855.4
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 1846.6
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 1845.8
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 1833.4
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 1833.4
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 1822.1
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 1814.7
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 1810.3
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 1798.2
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 1788.9
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 1787.9
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 1782.9
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 1779.2
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 1773.6
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 1770.2
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 1768.8
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 1763.8
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 1759.8
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 1757.8
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 1754.8
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 1744.3
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 1744.3
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 1737.3
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 1728.6
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 1723.7
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 1716.8
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 1714.1
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 1713.2
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 1711.8
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 1710.8
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 1710.0
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 1709.6
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 1703.3
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 1698.2
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 1692.6
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 1691.9
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 1691.7
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 1689.9
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 1689.3
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 1686.1
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 1682.1
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 1680.6
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 1674.3
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 1669.7
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 1668.3
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 1667.9
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 1662.7
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 1657.3
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 1656.9
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 1656.8
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 1656.0
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 1654.0
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 1649.2
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 1649.0
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 1637.0
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 1618.0
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 1616.5
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 1616.4
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 1612.3
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 1603.0
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 1596.9
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 1596.7
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 1595.9
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 1594.6
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 1593.6
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 1593.5
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 1591.3
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 1584.7
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 1580.0
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 1578.6
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 1577.6
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 1571.9
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 1568.0
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 1564.6
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 1562.1
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 1560.3
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 1552.7
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 1546.4
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 1540.9
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 1538.0
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 1535.8
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 1534.5
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 1529.0
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 1524.6
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 1524.5
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 1521.7
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 1519.3
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 1519.3
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 1513.6
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 1513.6
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 1513.0
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 1513.0
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 1512.6
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 1509.8
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 1507.4
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 1506.1
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 1502.0
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 1496.5
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 1495.0
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 1494.4
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 1492.7
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 1490.4
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 1485.4
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 1484.1
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 1484.1
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 1483.8
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 1483.2
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 1482.6
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 1479.3
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 1475.7
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 1472.5
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 1463.7
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 1457.3
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 1456.4
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 1455.7
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 1453.0
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 1451.7
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 1449.0
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 1444.0
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 1442.7
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 1442.1
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 1442.0
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 1441.7
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 1441.0
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 1439.3
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 1438.7
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 1437.5
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 1435.3
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 1434.4
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 1433.1
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 1429.1
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 1421.8
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 1421.1
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 1416.9
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 1415.4
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 1414.4
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 1414.1
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 1411.8
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 1408.7
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 1407.2
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 1404.4
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 1403.7
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 1402.4
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 1401.4
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 1390.9
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 1390.4
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 1387.2
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 1384.7
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 1383.4
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 1382.2
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 1377.8
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 1369.8
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 1363.5
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 1363.3
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 1360.4
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 1360.3
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 1360.1
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 1354.8
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 1352.9
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 1351.5
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 1347.4
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 1345.9
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 1341.5
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 1339.0
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 1335.2
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 1332.6
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 1328.7
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 1326.0
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 1325.0
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 1318.7
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 1316.2
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 1313.8
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 1313.7
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 1312.9
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 1312.5
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 1307.4
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 1307.2
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 1306.9
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 1305.0
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 1297.6
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 1296.3
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 1295.6
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 1294.6
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 1293.1
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 1287.2
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 1284.9
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 1282.9
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 1280.0
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 1271.1
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 1269.4
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 1268.7
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 1262.5
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 1261.7
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 1258.2
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 1256.3
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 1246.9
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 1242.7
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 1241.9
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 1241.9
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 1239.3
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 1237.2
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 1235.2
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 1234.6
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 1230.7
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 1228.3
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 1227.1
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 1224.9
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 1224.1
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 1222.1
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 1222.0
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 1219.1
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 1218.3
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 1217.6
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 1217.4
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 1217.1
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 1212.6
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 1208.0
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 1206.0
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 1205.0
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 1204.8
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 1204.3
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 1204.1
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 1200.0
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 1194.5
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 1193.8
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 1191.6
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 1188.7
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 1187.7
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 1187.0
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 1185.2
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 1177.7
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 1176.5
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 1175.9
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 1172.4
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 1172.1
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 1169.8
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 1168.7
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 1167.5
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 1166.7
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 1163.3
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 1160.5
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 1160.3
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 1155.1
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 1153.8
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 1152.7
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 1149.5
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 1148.9
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 1146.3
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 1144.1
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 1143.7
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 1142.4
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 1139.8
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 1139.4
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 1138.4
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 1134.9
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 1133.3
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 1130.3
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 1128.3
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 1128.2
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 1125.1
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 1123.5
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 1120.9
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 1118.2
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 1116.5
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 1114.2
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 1111.7
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 1109.4
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 1108.9
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 1104.6
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 1098.3
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 1096.2
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 1095.6
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 1092.1
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 1092.0
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 1091.9
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 1090.6
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 1090.4
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 1085.9
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 1085.8
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 1078.4
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 1075.1
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 1074.7
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 1071.7
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 1071.0
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 1067.5
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 1064.1
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 1063.6
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 1062.9
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 1060.2
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 1060.0
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 1054.3
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 1047.1
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 1046.2
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 1046.1
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 1045.2
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 1043.2
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 1041.3
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 1040.4
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 1037.6
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 1034.9
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 1034.6
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 1034.4
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 1032.3
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 1029.0
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 1028.2
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 1027.8
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 1024.6
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 1023.0
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 1022.8
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 1009.8
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 1006.5
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 999.4
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 997.2
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 995.0
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 994.8
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 994.2
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 993.0
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 979.0
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 975.9
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 975.1
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 972.8
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 971.0
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 961.4
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 959.9
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 959.6
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 955.6
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 955.1
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 954.9
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 954.7
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 953.8
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 952.2
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 950.1
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 944.4
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 941.1
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 938.9
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 937.2
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 932.0
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 928.0
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 926.2
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 924.8
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 918.8
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 917.7
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 917.0
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 915.9
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 911.2
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 909.4
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 889.2
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 884.7
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 884.7
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 882.6
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 879.9
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 879.6
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 879.2
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 875.7
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 870.2
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 856.0
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 855.2
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 852.1
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 843.3
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 830.7
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 830.0
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 823.3
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 817.4
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 815.3
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 811.1
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 807.3
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 804.3
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 804.1
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 803.4
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 796.5
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 795.8
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 787.0
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 786.8
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 784.7
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 780.3
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 777.0
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 755.3
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 748.1
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 744.4
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 740.0
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 718.7
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 711.8
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 701.6
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 696.2
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 675.7
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 640.4
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 639.3
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 638.7
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 434.6
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 119.7
Show allShow less
RECTUM ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

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.

RPL12 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.

: 2574.2
Median expressioni

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.

: N/A
Median follow up timei

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 pTPM 3590.4
Number of samples 88
Samples
Sample Description pTPM
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 7927.0
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 7087.5
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 6821.4
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 6792.7
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 6636.3
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 6569.6
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 6380.2
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 5131.0
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 5121.0
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 5066.8
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 5003.9
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 4947.5
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 4943.1
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 4933.9
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 4890.2
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 4827.8
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 4786.2
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 4668.0
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 4658.9
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 4493.2
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 4141.6
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 4109.1
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 4074.8
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 4073.3
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 4050.3
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 3986.0
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 3959.2
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 3924.0
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 3869.6
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 3833.4
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 3824.5
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 3698.5
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 3688.8
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 3628.5
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 3615.7
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 3582.7
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 3547.6
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 3501.3
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 3484.9
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 3455.5
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 3443.0
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 3406.0
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 3326.3
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 3298.4
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 3282.9
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 3273.4
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 3213.0
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 3212.7
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 3205.0
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 3199.6
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 3181.8
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 3156.8
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 3111.5
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 3090.8
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 3038.1
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 2926.5
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 2916.4
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 2869.9
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 2860.7
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 2840.4
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 2793.9
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 2783.5
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 2726.3
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 2711.4
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 2686.5
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 2617.6
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 2582.3
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 2574.2
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 2563.7
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 2543.2
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 2504.4
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 2481.7
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 2455.2
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 2407.5
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 2384.6
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 2382.4
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 2358.8
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 2290.2
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 2243.0
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 2227.1
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 2173.0
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 2007.8
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 1988.9
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 1925.3
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 1919.7
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 1811.4
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 1684.6
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 1542.8
Show allShow less
RECTUM ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

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.

RPL12 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.

: 1284.94
Median expressioni

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.

: N/A
Median follow up timei

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 pTPM 1289.0
Number of samples 207
Samples
Sample Description pTPM
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 3369.4
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 3115.7
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 3106.1
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 2732.5
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 2707.1
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 2622.2
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 2422.1
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 2391.3
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 2308.5
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 2269.4
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 2231.0
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 2216.3
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 2204.5
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 2202.3
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 2135.2
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 2075.6
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 2049.3
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 2045.9
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 2045.5
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 2037.9
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 2011.0
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 2006.3
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 1968.3
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 1965.2
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 1934.2
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 1876.3
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 1834.8
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 1805.4
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 1755.9
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 1744.9
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 1728.3
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 1700.1
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 1678.5
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 1669.7
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 1658.1
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 1639.4
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 1637.0
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 1636.4
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 1603.7
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 1595.3
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 1594.8
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 1589.2
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 1580.5
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 1569.6
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 1540.7
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 1524.8
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 1509.0
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 1500.6
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 1494.2
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 1483.1
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 1478.0
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 1467.9
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 1467.5
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 1460.3
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 1447.6
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 1445.1
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 1444.0
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 1442.5
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 1433.6
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 1421.2
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 1412.3
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 1400.7
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 1399.4
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 1393.0
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 1391.2
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 1383.8
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 1383.5
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 1382.6
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 1382.1
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 1381.2
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 1374.7
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 1363.6
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 1361.0
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 1353.7
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 1353.6
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 1352.7
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 1349.5
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 1348.9
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 1339.8
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 1323.7
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 1320.8
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 1292.4
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 1287.0
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 1286.2
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 1283.6
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 1282.7
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 1280.3
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 1279.9
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 1279.9
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 1262.8
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 1250.3
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 1244.8
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 1232.1
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 1231.7
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 1231.6
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 1230.2
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 1223.5
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 1213.2
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 1204.7
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 1196.2
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 1189.6
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 1186.7
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 1182.2
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 1178.6
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 1178.4
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 1177.5
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 1174.7
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 1170.8
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 1167.1
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 1163.6
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 1161.8
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 1160.4
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 1156.3
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 1156.0
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 1154.0
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 1153.7
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 1153.1
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 1153.0
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 1148.2
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 1144.9
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 1142.0
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 1134.5
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 1133.3
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 1130.0
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 1129.2
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 1127.0
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 1122.4
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 1107.7
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 1102.0
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 1096.7
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 1084.3
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 1079.6
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 1075.6
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 1073.2
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 1072.1
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 1064.2
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 1056.2
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 1054.2
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 1049.2
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 1046.4
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 1045.3
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 1041.1
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 1034.1
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 1021.5
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 1018.1
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 999.3
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 992.1
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 991.5
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 988.3
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 982.6
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 981.9
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 974.3
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 966.4
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 949.3
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 945.5
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 941.7
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 936.5
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 936.1
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 934.9
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 931.3
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 926.2
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 925.5
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 918.5
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 904.2
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 904.0
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 892.5
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 892.3
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 887.5
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 883.8
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 871.9
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 860.3
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 859.5
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 850.4
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 839.8
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 833.0
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 830.8
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 823.6
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 810.7
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 804.8
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 799.2
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 788.2
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 779.8
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 778.7
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 776.1
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 771.0
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 769.6
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 764.8
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 750.3
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 747.8
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 737.6
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 731.0
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 723.3
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 719.4
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 717.8
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 715.5
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 712.7
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 700.0
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 694.2
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 682.6
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 674.8
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 663.2
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 604.5
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 572.9
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 560.0
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 524.5
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 484.0
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 400.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor 0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor 0.5
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 0.5
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor 0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor 0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor 0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2 Tumor 0.4
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor 0.4
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor 0.4
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor 0.4
43192517-085e-450e-9481-0a6713_D3 Tumor 0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor 0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor 0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor 0.3
e196a0b4-2a05-43de-bb30-ceb761_D2 Tumor 0.3
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor 0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2 Tumor 0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor 0.3
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor 0.3
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor 0.3
54565eae-05c5-4dae-bde9-ae4874_D2 Normal 0.3
37219a7c-6fe2-4684-a494-d0be08_D2 Tumor 0.3
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor 0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor 0.3
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor 0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor 0.2
0f238226-864c-4de0-8c61-01e729_D2 Tumor 0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor 0.2
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor 0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor 0.2
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor 0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor 0.2
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor 0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3 Tumor 0.2
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor 0.2
3d797911-d476-436f-9cce-33e20c_D8 Tumor 0.2
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor 0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2 Tumor 0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor 0.2
a467b905-fc0b-427b-8753-6d38dd_D3 Tumor 0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal 0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor 0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor 0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor 0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor 0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3 Tumor 0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3 Tumor 0.2
799893aa-d523-4a08-9ea7-611cca_D3 Tumor 0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2 Normal 0.1
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor 0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal 0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor 0.1
c65afd57-530c-4366-b2c8-463a46_D2 Tumor 0.1
8cc7e656-0152-4359-8566-0581c3 Tumor 0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor 0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2 Tumor 0.1
092c5a37-325b-4181-b230-2d8fff_D2 Tumor 0.1
e3c012aa-51c2-42b0-a478-bd620f_D2 Normal 0.1
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor 0.1
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor 0.1
8af80ae9-2088-4124-91fb-8d6c17_D3 Tumor 0.1
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor 0.1
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor 0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor 0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor 0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor 0.1
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal 0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2 Tumor 0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8 Tumor 0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2 Normal 0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal 0.1
87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor 0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3 Tumor 0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor 0.0
573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor 0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3 Tumor 0.0
4b263734-430f-41dc-a296-8691f0_D3 Tumor 0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor 0.0
a84149b1-8453-45f0-8400-d7b12f_D2 Normal 0.0
5557e478-3e6f-475b-8acc-1b4159_D8 Tumor 0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2 Normal 0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2 Normal 0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor 0.0
1bf00d93-240f-47e8-8055-f546b0_D2 Normal 0.0
47d2a435-b203-4438-ae72-53c424_D2 Normal 0.0
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor 0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor N/A
bc574f73-89ba-44d7-992e-82622c_D3 Tumor 0.0
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98742d96-cc2f-43f0-9de2-bc7afe_D3 Tumor 0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor 0.0
2167c594-c33f-4795-b95b-69bd07_D2 Tumor 0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3 Tumor 0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor 0.0
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0d5554d1-1653-4589-a44f-43113e_D2 Normal 0.0
903d5fe0-970a-47be-a97f-3cc914_D2 Normal 0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor 0.0
23e938d0-92b8-4aea-90c1-4385df_D2 Normal 0.0
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348f6009-e1be-44d2-a093-9ca844_D2 Normal 0.0
5e886f1c-8165-4232-9591-d80799_D2 Normal 0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor 0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal -0.1
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6e0d04fc-e6a8-41ed-b6f3-45537d_D2 Normal -0.1
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64ed43a2-f083-43cb-9d0d-118495_D2 Normal -0.1
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1c070992-647b-4173-a481-904c4d_D2 Normal -0.1
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211cbcef-cb1f-4c80-a1c8-a76d3c_D2 Normal -0.1
cbd0e774-c741-4753-9c9e-391a7d_D2 Normal -0.1
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019cd0c0-733d-4b25-90e3-d54ce0_D2 Normal -0.1
62627b73-1763-48bc-8eea-e5bd76_D2 Normal -0.1
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7478980a-60fb-4f5e-aa1c-2d7941_D2 Normal -0.1
3a17283c-a0f4-4514-956b-080d11_D2 Normal -0.1
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65867ab1-5eab-44a8-b2bb-d27263_D2 Normal -0.2
e070ff10-058b-4733-93ab-bdd702_D2 Normal -0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2 Normal -0.2
377cdd37-d1bd-4042-997e-478a0f_D2 Normal -0.2
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411d9597-c785-4de5-b449-29a80d_D2 Normal -0.2
359f5c81-2575-497e-8630-e4866f_D2 Normal -0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2 Normal -0.2
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853ecf90-71e6-4156-a56f-a34b65_D2 Normal -0.2
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3765c09a-fff7-4b37-bf2b-452b23_D2 Normal -0.2
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963fc8db-f412-4427-a198-23f660_D2 Normal -0.2
b3696374-c6c0-49dd-833e-596e26_D2 Normal -0.2
176d1b96-8c6e-44fe-8a32-e15194_D2 Normal -0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2 Normal -0.2
26acb513-3ffe-49ad-8581-9dfc97_D2 Normal -0.2
526c3664-5b9b-4a2b-a00e-a14623_D2 Tumor -0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2 Normal -0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2 Normal -0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2 Normal -0.3
41a04113-2061-4923-bca5-da586c_D2 Normal -0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2 Normal -0.3
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a5c8bf1d-776c-406f-82a3-2d9ce6_D2 Normal -0.3
5de06adb-e00d-4114-8d76-04bd30_D2 Normal -0.3
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal -0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2 Normal -0.3
a27cf22d-836e-49a7-802f-47c1db_D2 Normal -0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2 Normal -0.3
6797a69d-2f74-44b9-8147-cd4fac_D2 Normal -0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2 Normal -0.3
16ac8458-5200-4302-9ad0-b311df_D2 Normal -0.3
87b0e853-43ea-4efb-8a22-dd221f_D2 Normal -0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2 Normal -0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2 Normal -0.3
a313f6ef-5994-4d49-9e66-c26911_D2 Normal -0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2 Normal -0.3
059a7065-3a5f-4eea-97e5-85ab01_D2 Normal -0.3
154115ac-2ec2-439d-b55e-0464ee_D2 Normal -0.3
694e8df1-d9ee-473b-bec1-4f9237_D2 Normal -0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2 Normal -0.4
a243b765-61ab-4aa6-88e1-226896_D2 Normal -0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2 Normal -0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2 Normal -0.4
da747cee-5026-4923-af63-ad9f81_D2 Normal -0.4
974e136f-7020-4a38-b9c1-094df9_D2 Normal -0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2 Normal -0.4
2666323d-522f-4f0a-823c-ff8866_D2 Normal -0.4
02cde0c0-6840-495b-9b11-007d82_D2 Normal -0.5
067db520-1b1f-4569-9414-e37a6e_D2 Normal -0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2 Normal -0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2 Normal -0.5
c307b7b0-534a-45fa-a420-35f773_D2 Normal -0.5
233ec093-9a30-4ef4-a12c-91757e_D2 Normal -0.6
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal -0.7
efee6bb9-69dd-46c2-85b3-b55962_D2 Normal -0.7
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.


Antibody HPA003403
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Adenocarcinoma, NOS

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