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RPLP0
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  • RPLP0
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.

RPLP0 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.

: 3162.9
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 4206.2
Number of samples 254
Samples
Sample Description pTPM
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 11039.9
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 8776.8
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 7755.0
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 7412.5
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 7303.3
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 7274.3
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 7271.4
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 7187.4
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 7052.1
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 7022.3
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 6924.0
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 6662.8
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 6599.3
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 6486.7
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 6457.8
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 6441.3
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 6395.1
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 6357.2
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 6305.9
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 6253.9
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 6157.1
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 6143.1
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 6140.1
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 6093.3
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 6057.1
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 6006.3
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 5871.0
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 5800.4
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 5752.4
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 5717.2
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 5696.1
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 5687.6
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 5687.1
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 5659.3
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 5642.0
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 5488.8
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 5448.6
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 5443.5
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 5439.0
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 5438.2
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 5436.2
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 5378.6
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 5378.3
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 5375.9
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 5368.1
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 5367.1
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 5366.1
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 5293.3
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 5288.5
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 5255.2
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 5253.9
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 5248.9
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 5233.7
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 5224.2
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 5214.1
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 5193.2
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 5177.6
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 5117.0
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 4922.9
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 4920.0
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 4897.4
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 4887.2
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 4838.4
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 4831.8
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 4830.0
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 4828.5
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 4825.3
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 4767.2
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 4759.2
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 4743.8
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 4732.5
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 4731.9
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 4731.1
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 4703.5
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 4688.1
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 4685.3
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 4667.9
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 4665.3
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 4653.0
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 4647.7
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 4627.2
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 4600.7
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 4587.8
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 4572.6
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 4550.6
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 4513.5
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 4506.6
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 4483.2
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 4480.7
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 4450.8
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 4450.7
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 4445.6
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 4442.1
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 4437.5
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 4435.2
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 4428.8
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 4423.6
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 4421.5
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 4415.3
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 4398.9
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 4382.2
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 4368.0
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 4340.9
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 4324.7
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 4320.1
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 4318.7
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 4310.0
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 4305.5
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 4242.1
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 4237.0
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 4209.6
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 4182.1
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 4178.3
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 4171.7
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 4148.1
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 4137.1
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 4115.4
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 4113.9
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 4112.2
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 4094.4
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 4080.5
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 4073.8
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 4063.7
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 4057.2
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 4047.3
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 4042.5
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 4028.1
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 4026.9
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 4024.4
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 4009.7
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 3990.1
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 3988.0
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 3974.4
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 3888.0
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 3885.3
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 3878.2
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 3877.2
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 3874.3
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 3860.8
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 3802.8
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 3795.8
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 3783.0
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 3778.4
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 3776.9
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 3772.1
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 3766.3
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 3754.5
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 3738.0
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 3731.3
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 3709.5
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 3699.6
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 3698.1
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 3686.0
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 3677.2
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 3661.5
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 3623.0
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 3619.3
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 3592.1
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 3586.7
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 3573.4
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 3560.3
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 3525.9
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 3510.4
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 3500.8
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 3473.5
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 3473.0
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 3471.7
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 3470.1
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 3450.5
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 3437.3
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 3405.8
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 3401.7
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 3394.0
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 3386.9
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 3386.1
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 3382.3
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 3380.6
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 3378.0
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 3377.6
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 3366.4
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 3359.3
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 3350.6
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 3337.3
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 3314.9
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 3306.1
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 3287.7
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 3280.7
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 3280.3
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 3242.6
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 3226.9
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 3226.4
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 3223.1
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 3218.0
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 3215.6
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 3210.5
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 3207.2
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 3194.7
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 3186.8
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 3178.9
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 3166.3
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 3163.8
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 3162.9
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 3118.0
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 3114.7
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 3092.1
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 3076.9
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 3054.1
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 3050.8
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 3019.3
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 3003.8
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 3003.4
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 2980.0
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 2976.5
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 2968.2
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 2967.2
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 2961.7
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 2956.2
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 2951.6
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 2943.7
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 2926.3
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 2923.2
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 2896.6
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 2890.2
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 2883.2
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 2838.9
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 2838.0
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 2821.1
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 2805.2
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 2784.6
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 2776.1
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 2771.7
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 2757.5
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 2747.3
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 2714.5
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 2702.2
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 2694.6
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 2675.2
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 2670.7
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 2648.5
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 2645.7
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 2602.7
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 2570.5
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 2551.6
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 2534.2
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 2528.1
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 2494.2
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 2457.9
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 2416.5
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 2353.3
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 2351.3
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 2126.4
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 1962.5
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 1749.6
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 1704.7
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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.

RPLP0 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.

: 2739.76
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 2462.2
Number of samples 486
Samples
Sample Description pTPM
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 5624.1
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 5359.1
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 4987.6
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 4941.3
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 4831.6
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 4699.3
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 4654.6
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 4541.8
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 4462.8
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 4384.5
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 4282.1
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 4210.4
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 4209.1
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 4202.0
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 4178.0
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 4168.6
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 4168.3
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 4129.0
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 4105.5
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 4091.9
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 4086.7
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 4085.4
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 4061.1
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 4053.3
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 4023.7
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 4019.8
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 3909.7
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 3893.8
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 3888.0
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 3886.7
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 3861.2
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 3854.6
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 3854.0
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 3841.1
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 3837.2
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 3836.0
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 3824.1
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 3770.5
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 3751.4
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 3723.9
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 3721.5
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 3661.6
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 3656.9
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 3656.7
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 3591.3
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 3561.8
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 3538.4
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 3538.3
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 3523.7
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 3521.9
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 3519.8
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 3514.5
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 3512.0
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 3507.3
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 3502.5
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 3502.3
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 3499.7
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 3495.9
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 3483.6
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 3474.6
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 3472.3
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 3448.3
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 3444.7
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 3435.2
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 3432.1
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 3431.3
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 3426.8
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 3424.2
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 3414.9
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 3409.3
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 3385.7
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 3378.6
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 3360.4
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 3357.3
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 3348.6
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 3343.7
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 3339.5
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 3337.2
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 3332.8
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 3292.1
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 3274.8
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 3261.4
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 3255.6
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 3236.5
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 3217.0
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 3194.8
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 3194.6
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 3193.1
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 3190.0
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 3182.2
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 3176.1
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 3163.4
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 3163.3
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 3157.9
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 3145.5
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 3143.6
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 3137.7
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 3133.4
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 3133.3
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 3117.0
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 3114.1
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 3113.3
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 3096.2
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 3095.4
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 3094.9
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 3092.0
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 3083.1
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 3079.9
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 3077.7
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 3029.3
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 3029.0
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 3005.4
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 2993.8
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 2985.6
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 2983.6
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 2973.0
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 2972.9
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 2969.7
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 2969.2
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 2968.9
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 2964.5
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 2954.8
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 2941.7
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 2934.1
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 2932.2
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 2915.7
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 2912.1
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 2906.5
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 2906.3
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 2897.6
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 2881.8
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 2878.9
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 2873.6
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 2859.2
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 2842.7
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 2840.2
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 2839.8
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 2835.0
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 2834.8
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 2833.3
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 2829.6
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 2824.4
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 2818.5
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 2812.5
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 2803.3
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 2801.2
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 2799.9
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 2795.6
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 2793.9
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 2793.8
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 2791.8
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 2778.6
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 2773.4
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 2768.4
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 2767.0
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 2761.6
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 2759.0
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 2755.9
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 2744.6
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 2743.6
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 2741.7
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 2741.0
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 2739.9
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 2739.7
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 2739.0
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 2738.0
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 2729.3
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 2725.3
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 2723.0
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 2722.2
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 2714.6
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 2705.6
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 2705.3
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 2704.6
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 2688.5
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 2688.0
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 2678.9
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 2676.2
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 2673.2
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 2671.3
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 2669.4
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 2665.3
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 2657.0
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 2650.6
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 2649.8
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 2649.7
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 2643.4
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 2634.5
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 2632.1
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 2622.1
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 2617.5
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 2614.7
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 2607.3
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 2597.9
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 2595.2
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 2591.4
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 2579.4
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 2560.7
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 2553.5
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 2539.9
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 2538.7
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 2534.9
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 2532.0
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 2528.8
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 2515.5
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 2512.0
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 2511.5
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 2511.2
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 2509.3
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 2494.1
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 2493.5
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 2490.8
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 2484.6
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 2476.4
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 2471.4
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 2469.8
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 2469.4
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 2468.9
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 2463.1
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 2462.2
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 2457.5
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 2454.4
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 2448.4
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 2443.6
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 2442.1
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 2434.0
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 2432.9
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 2424.9
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 2424.5
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 2421.4
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 2404.1
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 2400.6
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 2399.5
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 2399.1
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 2397.0
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 2395.6
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 2393.7
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 2388.4
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 2386.6
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 2385.5
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 2380.8
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 2380.5
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 2367.2
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 2363.9
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 2355.2
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 2353.7
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 2349.4
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 2340.9
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 2339.1
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 2331.0
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 2330.7
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 2323.0
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 2322.0
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 2320.8
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 2320.4
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 2314.7
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 2311.7
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 2311.1
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 2309.8
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 2304.6
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 2301.7
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 2301.0
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 2297.7
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 2295.5
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 2295.4
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 2289.1
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 2286.4
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 2283.9
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 2280.9
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 2279.5
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 2267.3
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 2262.9
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 2250.4
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 2245.8
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 2244.2
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 2234.0
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 2233.7
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 2223.0
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 2222.3
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 2220.0
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 2216.9
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 2205.7
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 2203.6
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 2202.6
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 2197.8
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 2195.0
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 2190.2
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 2181.9
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 2171.3
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 2170.5
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 2170.4
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 2166.8
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 2166.3
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 2164.8
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 2161.4
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 2160.8
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 2151.8
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 2148.1
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 2143.8
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 2142.1
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 2141.2
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 2133.7
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 2115.6
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 2115.0
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 2114.1
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 2112.8
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 2108.2
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 2105.6
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 2103.3
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 2103.3
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 2100.0
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 2096.9
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 2095.0
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 2092.6
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 2092.3
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 2091.2
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 2090.6
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 2090.3
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 2084.7
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 2073.9
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 2072.7
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 2063.9
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 2061.8
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 2053.5
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 2053.3
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 2046.7
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 2040.4
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 2039.8
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 2039.6
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 2035.4
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 2029.4
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 2019.4
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 2010.7
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 2010.6
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 2003.7
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 2003.0
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 1995.6
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 1995.5
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 1991.7
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 1981.7
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 1977.1
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 1976.8
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 1968.4
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 1967.3
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 1963.1
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 1959.3
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 1955.9
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 1953.4
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 1949.4
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 1948.2
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 1943.3
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 1937.9
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 1933.8
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 1926.6
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 1921.3
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 1904.7
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 1903.8
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 1896.3
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 1891.8
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 1889.2
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 1883.8
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 1881.1
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 1879.1
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 1875.9
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 1869.3
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 1863.6
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 1863.3
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 1860.5
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 1856.7
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 1835.0
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 1817.0
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 1815.9
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 1812.5
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 1811.5
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 1803.3
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 1798.6
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 1797.0
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 1790.4
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 1780.1
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 1778.3
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 1776.6
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 1774.5
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 1771.7
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 1771.5
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 1749.6
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 1746.7
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 1745.8
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 1734.8
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 1725.4
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 1723.2
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 1722.2
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 1721.1
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 1716.6
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 1714.8
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 1713.3
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 1712.4
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 1708.9
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 1701.9
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 1701.4
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 1689.4
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 1664.9
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 1648.2
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 1645.4
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 1641.7
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 1638.9
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 1634.4
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 1633.6
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 1633.3
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 1624.9
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 1621.8
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 1621.6
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 1617.7
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 1617.5
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 1604.6
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 1603.6
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 1602.8
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 1596.4
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 1584.9
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 1583.8
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 1583.3
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 1582.4
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 1576.5
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 1575.6
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 1566.3
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 1558.6
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 1551.6
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 1548.7
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 1548.5
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 1533.3
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 1527.0
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 1506.9
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 1489.5
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 1485.1
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 1484.4
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 1482.7
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 1473.8
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 1449.9
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 1448.8
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 1422.0
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 1405.9
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 1403.6
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 1402.9
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 1399.4
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 1388.2
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 1379.8
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 1376.6
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 1373.0
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 1371.6
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 1370.3
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 1369.9
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 1369.0
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 1351.4
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 1350.5
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 1345.1
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 1334.7
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 1305.9
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 1302.8
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 1294.7
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 1292.4
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 1281.9
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 1273.2
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 1259.9
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 1254.6
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 1249.6
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 1245.2
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 1233.3
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 1228.4
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 1226.4
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 1225.8
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 1202.7
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 1201.7
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 1187.4
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 1183.8
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 1170.3
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 1162.0
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 1135.1
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 1097.9
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 1085.9
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 1079.7
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 1053.5
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 1043.4
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 1040.1
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 1011.2
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 977.6
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 816.8
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 251.6
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.

RPLP0 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.

: 3257.74
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 4052.3
Number of samples 88
Samples
Sample Description pTPM
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 7854.5
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 7339.6
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 6887.8
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 6803.4
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 6576.9
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 6533.0
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 6056.4
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 6005.8
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 5655.6
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 5481.8
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 5403.0
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 5318.3
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 5035.8
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 5009.6
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 4955.5
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 4931.3
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 4856.7
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 4843.2
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 4825.4
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 4817.4
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 4803.7
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 4703.8
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 4660.9
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 4559.1
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 4516.4
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 4499.0
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 4493.0
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 4442.8
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 4388.4
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 4308.3
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 4238.6
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 4218.4
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 4211.9
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 4195.4
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 4181.1
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 4179.0
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 4163.5
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 4112.5
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 4095.2
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 4004.0
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 3991.1
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 3964.1
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 3863.1
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 3859.3
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 3827.0
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 3820.6
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 3816.6
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 3755.6
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 3742.2
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 3739.9
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 3729.4
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 3696.8
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 3684.1
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 3674.7
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 3658.5
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 3656.1
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 3636.6
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 3633.8
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 3599.2
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 3554.5
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 3544.1
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 3503.3
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 3479.8
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 3436.9
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 3314.9
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 3279.5
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 3236.0
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 3213.7
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 3142.1
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 3136.9
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 3134.1
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 3076.8
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 3050.3
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 2974.4
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 2910.5
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 2878.5
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 2698.5
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 2629.4
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 2588.5
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 2556.8
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 2530.4
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 2522.7
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 2514.5
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 2310.9
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 2306.6
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 2228.0
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 2104.6
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 1233.0
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.

RPLP0 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.

: 2345.74
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 1917.2
Number of samples 207
Samples
Sample Description pTPM
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 5985.5
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 4425.7
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 4396.4
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 4297.8
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 4086.4
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 3917.1
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 3762.7
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 3605.1
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 3581.4
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 3568.7
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 3553.1
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 3381.9
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 3272.0
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 3194.7
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 3184.0
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 3170.4
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 3159.1
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 3156.6
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 3000.5
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 2994.8
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 2952.5
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 2919.6
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 2813.3
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 2790.4
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 2689.3
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 2688.5
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 2680.4
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 2546.4
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 2533.1
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 2506.4
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 2504.8
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 2502.3
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 2457.2
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 2445.3
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 2443.0
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 2418.8
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 2396.5
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 2385.5
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 2377.7
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 2366.6
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 2356.2
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 2350.2
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 2349.7
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 2345.7
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 2345.3
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 2310.2
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 2301.2
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 2300.4
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 2290.6
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 2281.8
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 2268.3
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 2257.0
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 2240.1
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 2239.3
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 2238.1
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 2220.9
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 2214.0
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 2213.0
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 2209.9
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 2198.5
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 2164.0
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 2147.8
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 2145.5
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 2136.0
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 2124.7
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 2119.9
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 2109.4
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 2105.2
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 2095.9
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 2088.3
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 2086.5
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 2075.3
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 2073.3
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 2073.3
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 2046.4
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 2036.6
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 2033.0
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 2027.4
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 2017.1
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 2008.4
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 2003.6
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 2003.2
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 1993.3
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 1992.0
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 1977.5
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 1938.3
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 1931.6
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 1924.6
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 1914.5
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 1909.1
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 1904.1
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 1903.1
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 1871.8
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 1864.9
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 1862.3
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 1861.4
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 1854.9
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 1839.8
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 1833.6
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 1823.3
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 1818.3
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 1810.6
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 1791.4
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 1786.7
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 1781.1
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 1778.6
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 1776.0
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 1766.2
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 1744.6
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 1728.0
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 1723.7
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 1711.0
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 1705.5
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 1704.9
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 1698.5
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 1688.6
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 1677.3
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 1669.8
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 1664.4
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 1657.4
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 1651.3
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 1649.9
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 1639.9
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 1637.4
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 1636.6
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 1627.0
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 1617.3
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 1585.2
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 1577.8
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 1574.3
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 1567.6
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 1564.3
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 1532.8
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 1517.5
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 1511.9
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 1511.5
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 1496.1
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 1483.7
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 1464.5
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 1461.8
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 1454.0
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 1452.1
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 1451.6
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 1450.1
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 1449.6
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 1441.5
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 1439.9
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 1422.3
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 1417.5
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 1415.1
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 1414.1
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 1413.9
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 1412.7
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 1389.0
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 1374.4
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 1367.1
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 1367.0
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 1350.5
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 1348.8
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 1348.1
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 1333.6
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 1321.0
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 1307.0
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 1306.9
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 1298.1
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 1288.7
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 1273.1
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 1265.8
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 1256.6
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 1252.5
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 1246.2
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 1238.8
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 1237.3
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 1232.3
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 1222.8
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 1201.8
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 1200.2
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 1198.6
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 1197.0
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 1157.2
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 1152.1
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 1151.9
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 1151.4
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 1145.5
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 1129.5
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 1120.0
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 1114.1
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 1111.4
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 1104.5
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 1102.5
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 1100.6
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 1098.2
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 1097.2
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 1090.6
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 1067.2
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 1055.7
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 1041.7
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 1026.9
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 1025.1
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 1023.5
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 987.7
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 930.8
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 907.8
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 870.1
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 850.0
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 578.7
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 65.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor 0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor 0.5
799893aa-d523-4a08-9ea7-611cca_D3 Tumor 0.5
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 0.5
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor 0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor 0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3 Tumor 0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2 Tumor 0.4
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor 0.4
e196a0b4-2a05-43de-bb30-ceb761_D2 Tumor 0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor 0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor 0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor 0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor 0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor 0.3
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor 0.3
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor 0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor 0.3
c65afd57-530c-4366-b2c8-463a46_D2 Tumor 0.3
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor 0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2 Tumor 0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2 Tumor 0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor 0.3
43192517-085e-450e-9481-0a6713_D3 Tumor 0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor 0.3
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor 0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor 0.3
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor 0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor 0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal 0.2
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor 0.2
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor 0.2
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor 0.2
87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor 0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor 0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal 0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor 0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor 0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor 0.2
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor 0.2
37219a7c-6fe2-4684-a494-d0be08_D2 Tumor 0.2
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor 0.2
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor 0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3 Tumor 0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2 Normal 0.1
8af80ae9-2088-4124-91fb-8d6c17_D3 Tumor 0.1
2b810478-7956-4a8b-870d-184859_D2 Tumor 0.1
e515eb5c-8005-416a-9b42-59de9d_D8 Tumor 0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor 0.1
0f238226-864c-4de0-8c61-01e729_D2 Tumor 0.1
e1cd3d70-132b-452f-ba10-026721_D2 Tumor 0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor 0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2 Tumor 0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor 0.1
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal 0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal 0.1
0c330883-ab58-4a5a-bff7-07d283_D2 Normal 0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor 0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor 0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3 Tumor 0.1
54565eae-05c5-4dae-bde9-ae4874_D2 Normal 0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor 0.1
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor 0.1
573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor 0.1
092c5a37-325b-4181-b230-2d8fff_D2 Tumor 0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor 0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3 Tumor 0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor 0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor 0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3 Tumor 0.0
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor 0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor 0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor 0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor 0.0
b2400046-1d25-429d-a821-6040a6 Tumor 0.0
8cc7e656-0152-4359-8566-0581c3 Tumor 0.0
a84149b1-8453-45f0-8400-d7b12f_D2 Normal 0.0
e070ff10-058b-4733-93ab-bdd702_D2 Normal 0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2 Normal 0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2 Tumor 0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3 Tumor 0.0
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor 0.0
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor 0.0
3d797911-d476-436f-9cce-33e20c_D8 Tumor 0.0
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359f5c81-2575-497e-8630-e4866f_D2 Normal -0.3
176d1b96-8c6e-44fe-8a32-e15194_D2 Normal -0.3
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411d9597-c785-4de5-b449-29a80d_D2 Normal -0.4
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1f79fed9-f0d4-4c45-acd2-ea1441_D2 Normal -0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2 Normal -0.4
059a7065-3a5f-4eea-97e5-85ab01_D2 Normal -0.4
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal -0.5
efee6bb9-69dd-46c2-85b3-b55962_D2 Normal -0.5
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal -0.5
02cde0c0-6840-495b-9b11-007d82_D2 Normal -0.5
2666323d-522f-4f0a-823c-ff8866_D2 Normal -0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA003512

Antibody HPA073501
 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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