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FTH1
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  • FTH1
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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VALIDATION
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.

FTH1 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.

: 4463.19
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 3606.1
Number of samples 254
Samples
Sample Description pTPM
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 16370.4
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 8421.9
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 8320.2
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 8302.5
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 8246.4
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 7419.6
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 6857.6
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 6692.0
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 6569.4
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 6568.1
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 6531.6
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 6502.8
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 6445.8
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 6356.7
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 6233.6
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 6188.1
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 6184.4
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 6124.3
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 6063.8
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 6043.1
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 5970.1
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 5947.0
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 5922.3
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 5849.4
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 5714.0
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 5676.5
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 5611.3
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 5563.7
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 5524.5
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 5476.9
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 5470.2
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 5465.5
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 5439.2
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 5424.9
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 5370.8
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 5276.0
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 5269.2
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 5217.7
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 5186.3
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 5174.8
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 5154.6
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 5115.5
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 5053.9
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 5051.2
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 4965.0
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 4956.7
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 4948.1
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 4911.3
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 4909.2
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 4903.2
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 4847.3
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 4836.5
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 4748.5
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 4681.0
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 4677.3
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 4669.2
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 4545.6
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 4524.2
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 4482.7
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 4473.0
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 4453.3
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 4436.9
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 4424.4
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 4418.7
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 4403.0
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 4400.7
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 4359.6
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 4306.0
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 4276.3
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 4223.4
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 4199.9
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 4176.3
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 4147.8
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 4124.4
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 4122.2
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 4056.0
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 4014.8
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 3945.2
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 3932.2
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 3918.3
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 3899.5
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 3884.5
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 3883.3
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 3846.7
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 3835.8
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 3824.3
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 3822.0
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 3815.7
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 3801.5
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 3767.2
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 3766.4
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 3763.2
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 3763.2
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 3757.3
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 3752.8
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 3750.7
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 3740.0
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 3736.2
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 3734.4
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 3709.3
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 3693.9
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 3682.8
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 3672.7
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 3652.0
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 3622.2
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 3610.5
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 3610.4
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 3586.5
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 3559.9
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 3513.6
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 3511.2
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 3501.8
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 3501.1
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 3492.8
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 3483.6
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 3465.5
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 3443.0
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 3439.1
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 3438.2
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 3438.2
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 3434.9
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 3426.9
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 3384.7
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 3369.1
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 3365.8
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 3355.6
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 3269.5
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 3266.0
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 3254.1
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 3201.4
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 3197.4
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 3187.4
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 3180.6
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 3179.3
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 3179.3
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 3169.8
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 3161.6
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 3134.1
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 3125.7
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 3108.3
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 3104.0
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 3102.2
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 3078.0
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 3070.3
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 3048.2
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 3047.7
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 3029.8
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 3013.8
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 2998.9
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 2973.6
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 2971.7
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 2946.4
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 2944.6
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 2938.7
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 2933.1
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 2927.9
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 2920.9
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 2884.3
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 2882.3
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 2879.1
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 2873.2
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 2845.0
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 2829.8
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 2821.5
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 2820.0
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 2815.7
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 2814.7
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 2811.4
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 2792.4
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 2788.8
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 2787.1
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 2773.5
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 2766.9
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 2760.8
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 2758.5
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 2751.0
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 2733.0
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 2714.3
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 2677.1
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 2653.2
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 2651.0
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 2646.9
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 2631.3
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 2629.5
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 2628.5
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 2601.5
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 2576.0
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 2573.6
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 2560.2
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 2529.4
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 2521.9
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 2504.8
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 2496.0
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 2485.7
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 2472.1
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 2437.4
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 2435.5
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 2427.3
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 2421.8
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 2414.2
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 2386.1
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 2381.9
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 2380.9
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 2376.1
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 2375.8
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 2374.5
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 2369.4
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 2367.0
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 2365.7
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 2316.3
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 2313.3
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 2295.3
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 2262.1
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 2234.9
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 2230.3
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 2203.8
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 2165.4
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 2135.5
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 2085.6
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 2084.1
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 2082.5
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 2071.4
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 2059.2
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 1928.3
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 1916.3
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 1914.9
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 1883.7
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 1792.4
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 1765.1
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 1719.3
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 1700.6
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 1699.6
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 1698.8
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 1691.0
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 1638.4
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 1621.1
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 1611.0
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 1605.6
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 1567.5
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 1544.5
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 1520.7
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 1501.7
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 1491.3
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 1482.8
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 1472.2
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 1393.5
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 1385.6
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 1368.9
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 1350.8
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 1338.6
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 1320.8
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 1305.3
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 1262.2
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 1111.7
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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.

FTH1 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.

: 2818.1
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 2597.3
Number of samples 486
Samples
Sample Description pTPM
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 8109.0
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 6090.4
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 6017.5
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 5953.5
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 5953.0
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 5889.6
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 5805.9
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 5776.5
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 5772.0
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 5686.3
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 5583.2
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 5580.1
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 5519.7
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 5509.5
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 5498.9
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 5466.6
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 5360.7
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 5310.2
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 5227.8
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 5203.2
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 5151.6
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 5133.0
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 5091.0
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 5067.0
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 5057.1
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 5009.2
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 4996.4
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 4898.5
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 4877.5
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 4837.4
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 4802.5
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 4766.3
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 4681.2
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 4674.1
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 4666.1
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 4605.5
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 4571.1
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 4546.7
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 4386.1
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 4360.8
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 4330.8
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 4327.5
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 4309.2
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 4279.1
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 4265.1
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 4229.2
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 4179.4
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 4170.5
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 4163.7
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 4154.3
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 4110.1
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 4104.0
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 4093.6
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 4029.2
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 4027.0
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 4000.6
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 3992.0
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 3977.8
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 3976.0
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 3973.9
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 3966.2
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 3908.5
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 3884.0
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 3868.6
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 3844.0
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 3841.3
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 3772.8
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 3767.2
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 3766.5
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 3761.4
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 3744.8
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 3725.7
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 3712.8
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 3705.6
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 3687.5
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 3644.3
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 3632.5
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 3628.2
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 3618.4
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 3615.8
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 3612.1
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 3598.2
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 3565.7
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 3565.0
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 3546.3
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 3542.6
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 3491.8
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 3483.9
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 3451.6
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 3450.1
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 3440.6
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 3426.3
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 3412.3
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 3384.9
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 3372.5
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 3316.7
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 3315.9
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 3313.1
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 3308.1
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 3302.1
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 3301.7
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 3297.6
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 3291.1
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 3284.9
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 3264.6
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 3260.0
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 3255.4
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 3230.7
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 3220.0
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 3214.3
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 3213.0
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 3212.8
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 3206.0
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 3205.7
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 3196.1
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 3187.3
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 3179.8
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 3177.7
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 3176.5
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 3159.2
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 3154.0
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 3148.3
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 3146.6
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 3129.6
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 3122.4
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 3110.1
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 3085.6
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 3084.5
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 3053.3
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 3040.6
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 3036.2
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 3026.7
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 3024.6
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 3011.4
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 3008.1
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 2994.2
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 2984.2
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 2982.3
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 2973.9
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 2959.5
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 2957.3
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 2953.7
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 2951.0
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 2949.5
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 2947.2
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 2946.0
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 2944.1
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 2936.3
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 2931.3
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 2930.8
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 2917.1
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 2916.1
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 2904.1
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 2898.4
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 2892.8
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 2884.6
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 2874.2
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 2862.2
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 2859.7
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 2857.1
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 2850.9
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 2849.4
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 2843.4
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 2841.9
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 2837.4
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 2828.2
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 2827.6
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 2823.5
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 2819.5
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 2818.1
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 2817.5
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 2808.2
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 2806.5
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 2802.0
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 2776.6
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 2774.6
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 2761.4
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 2760.9
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 2754.9
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 2752.9
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 2751.9
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 2748.6
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 2735.4
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 2734.6
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 2732.1
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 2724.4
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 2723.3
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 2721.3
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 2719.1
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 2716.0
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 2714.6
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 2697.5
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 2696.0
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 2684.1
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 2683.3
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 2678.5
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 2672.9
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 2670.5
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 2667.1
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 2660.8
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 2656.3
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 2656.1
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 2655.9
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 2630.3
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 2625.0
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 2620.6
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 2609.0
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 2605.1
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 2598.8
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 2592.0
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 2586.6
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 2580.6
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 2568.2
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 2549.4
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 2543.7
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 2536.1
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 2528.6
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 2524.4
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 2524.2
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 2514.3
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 2510.7
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 2507.6
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 2501.6
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 2497.4
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 2495.7
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 2495.6
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 2480.5
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 2476.1
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 2475.4
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 2475.3
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 2474.5
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 2459.9
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 2457.6
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 2454.2
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 2441.5
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 2430.5
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 2423.9
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 2417.2
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 2416.3
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 2415.5
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 2412.4
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 2411.1
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 2405.7
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 2397.6
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 2396.6
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 2390.9
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 2382.1
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 2378.8
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 2376.9
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 2376.8
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 2373.1
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 2366.1
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 2366.1
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 2364.0
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 2362.0
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 2359.9
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 2358.7
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 2358.6
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 2356.8
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 2353.8
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 2348.4
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 2346.1
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 2340.9
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 2340.9
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 2335.0
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 2316.5
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 2306.6
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 2304.9
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 2299.2
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 2297.9
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 2288.0
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 2287.7
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 2286.8
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 2283.9
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 2282.5
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 2275.1
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 2261.1
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 2247.6
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 2241.7
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 2240.1
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 2239.4
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 2239.0
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 2224.1
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 2220.8
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 2211.0
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 2206.9
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 2197.8
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 2195.0
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 2189.6
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 2180.5
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 2174.1
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 2173.1
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 2172.5
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 2170.5
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 2168.1
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 2159.9
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 2158.8
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 2154.6
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 2149.8
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 2139.3
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 2135.2
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 2134.0
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 2124.5
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 2113.4
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 2109.1
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 2106.5
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 2104.6
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 2087.1
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 2079.7
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 2078.8
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 2073.1
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 2071.1
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 2057.2
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 2055.5
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 2054.3
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 2052.2
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 2051.1
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 2049.4
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 2042.1
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 2035.3
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 2030.8
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 2026.4
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 2008.4
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 2002.4
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 1997.1
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 1993.9
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 1991.9
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 1983.4
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 1977.9
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 1970.6
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 1969.9
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 1961.2
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 1960.1
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 1959.6
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 1955.5
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 1944.2
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 1943.3
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 1942.7
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 1929.0
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 1928.9
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 1912.7
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 1908.7
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 1885.3
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 1879.3
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 1872.9
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 1858.5
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 1857.5
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 1847.6
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 1845.2
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 1840.1
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 1829.1
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 1825.6
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 1822.3
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 1813.8
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 1808.0
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 1795.3
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 1795.0
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 1794.1
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 1775.3
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 1773.9
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 1770.0
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 1769.8
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 1766.7
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 1759.6
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 1755.1
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 1750.0
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 1730.8
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 1728.6
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 1727.4
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 1726.0
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 1723.3
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 1716.6
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 1711.5
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 1711.4
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 1708.4
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 1692.7
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 1692.5
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 1686.0
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 1680.6
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 1677.5
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 1677.3
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 1672.1
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 1669.7
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 1666.5
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 1664.1
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 1663.0
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 1652.9
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 1652.7
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 1651.3
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 1646.3
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 1637.8
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 1633.0
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 1628.4
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 1623.9
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 1623.4
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 1617.1
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 1612.6
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 1606.4
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 1603.9
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 1602.3
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 1588.0
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 1583.9
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 1579.5
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 1579.4
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 1565.3
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 1565.1
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 1563.1
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 1562.6
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 1557.5
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 1548.9
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 1546.0
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 1543.8
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 1524.2
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 1520.3
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 1515.0
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 1510.5
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 1501.2
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 1500.3
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 1492.2
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 1490.7
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 1487.7
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 1483.3
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 1469.8
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 1451.9
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 1445.4
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 1444.2
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 1441.6
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 1437.4
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 1425.3
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 1416.2
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 1407.8
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 1406.3
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 1399.2
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 1390.1
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 1387.1
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 1384.8
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 1376.0
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 1375.4
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 1368.1
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 1360.1
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 1352.7
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 1344.5
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 1343.4
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 1329.6
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 1315.6
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 1285.7
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 1276.8
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 1268.2
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 1267.5
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 1252.1
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 1250.0
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 1238.4
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 1217.3
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 1211.2
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 1210.9
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 1209.0
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 1209.0
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 1199.8
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 1194.9
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 1177.7
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 1174.1
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 1168.6
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 1151.4
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 1138.2
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 1079.1
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 1046.3
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 1025.9
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 1015.1
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 983.6
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 967.7
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 967.1
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 954.0
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 892.6
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 883.0
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 858.0
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 832.7
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 831.5
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 792.3
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 727.4
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 702.2
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 699.1
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 614.6
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 609.9
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 541.5
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 331.4
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 244.4
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.

FTH1 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.

: 3741.79
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 3648.7
Number of samples 88
Samples
Sample Description pTPM
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 9110.3
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 7766.9
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 7086.2
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 6926.5
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 6540.0
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 6248.6
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 6077.9
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 5917.6
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 5824.5
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 5413.9
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 5307.8
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 5117.4
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 5079.0
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 5077.8
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 4930.5
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 4789.5
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 4704.4
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 4666.6
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 4546.2
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 4497.3
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 4492.0
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 4401.3
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 4385.0
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 4372.6
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 4271.2
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 4265.9
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 4261.5
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 4240.0
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 4073.7
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 4038.0
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 3972.1
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 3866.0
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 3742.8
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 3741.8
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 3714.5
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 3704.1
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 3692.0
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 3659.0
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 3646.7
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 3604.9
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 3576.8
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 3482.7
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 3460.9
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 3457.7
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 3412.1
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 3292.4
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 3207.8
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 3204.0
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 3189.1
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 3179.1
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 3151.9
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 3146.0
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 3123.0
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 3121.0
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 3090.9
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 3056.2
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 3029.1
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 3010.7
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 2973.3
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 2917.1
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 2869.9
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 2786.8
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 2777.6
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 2776.1
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 2677.6
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 2658.5
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 2552.7
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 2541.8
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 2540.9
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 2446.7
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 2442.6
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 2411.0
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 2387.0
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 2370.0
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 2362.7
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 2314.7
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 2264.6
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 2214.2
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 2054.8
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 1927.2
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 1864.7
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 1828.0
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 1645.9
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 1512.4
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 1441.8
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 1370.4
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 1171.9
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 1020.3
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.

FTH1 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.

: 1501.07
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 2148.6
Number of samples 207
Samples
Sample Description pTPM
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 13833.0
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 10214.3
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 6053.2
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 5195.7
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 4981.2
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 4762.8
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 4259.5
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 4056.2
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 3988.8
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 3955.7
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 3828.2
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 3784.4
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 3732.4
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 3702.3
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 3653.5
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 3595.8
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 3595.3
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 3564.3
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 3454.9
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 3454.1
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 3425.4
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 3398.9
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 3354.5
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 3295.2
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 3288.9
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 3194.1
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 3170.5
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 3135.0
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 3129.3
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 3121.2
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 3044.2
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 3002.7
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 2973.6
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 2968.7
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 2951.6
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 2926.1
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 2883.9
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 2828.3
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 2813.8
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 2803.4
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 2793.0
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 2791.2
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 2779.3
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 2764.3
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 2758.9
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 2750.0
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 2737.1
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 2718.2
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 2716.4
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 2700.4
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 2683.4
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 2681.0
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 2671.6
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 2648.9
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 2635.4
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 2633.6
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 2591.9
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 2571.0
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 2554.6
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 2525.0
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 2522.8
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 2512.6
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 2489.1
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 2443.0
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 2380.7
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 2375.2
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 2347.7
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 2337.6
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 2336.2
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 2331.2
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 2310.8
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 2294.7
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 2291.4
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 2261.7
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 2251.1
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 2239.2
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 2230.3
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 2193.4
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 2186.4
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 2177.4
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 2160.8
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 2131.2
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 2130.7
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 2126.8
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 2125.6
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 2071.7
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 2067.4
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 2052.6
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 2052.4
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 2024.3
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 2004.6
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 2000.1
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 1978.0
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 1973.6
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 1964.4
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 1950.3
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 1948.2
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 1944.7
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 1934.6
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 1912.2
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 1899.9
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 1897.8
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 1874.2
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 1871.9
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 1863.8
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 1847.4
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 1841.0
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 1826.0
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 1800.9
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 1792.3
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 1791.6
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 1778.0
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 1775.9
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 1763.1
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 1762.6
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 1753.5
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 1745.0
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 1741.3
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 1728.5
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 1726.3
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 1710.1
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 1674.2
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 1656.0
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 1655.1
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 1654.9
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 1652.7
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 1646.9
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 1643.1
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 1641.5
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 1623.5
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 1623.1
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 1622.5
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 1618.4
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 1564.6
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 1564.1
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 1558.5
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 1552.0
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 1547.6
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 1547.3
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 1539.6
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 1501.1
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 1495.4
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 1489.1
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 1485.2
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 1483.6
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 1481.1
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 1461.3
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 1423.0
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 1418.3
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 1409.7
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 1406.3
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 1404.6
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 1389.6
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 1386.6
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 1385.3
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 1376.1
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 1366.6
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 1365.4
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 1328.9
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 1321.0
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 1313.1
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 1312.8
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 1295.8
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 1294.8
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 1273.4
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 1271.5
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 1247.6
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 1232.5
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 1226.6
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 1213.2
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 1193.5
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 1186.6
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 1178.7
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 1177.7
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 1160.8
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 1155.5
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 1147.3
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 1129.1
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 1118.3
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 1111.6
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 1101.6
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 1098.7
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 1091.7
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 1069.6
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 1056.0
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 1053.3
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 1000.6
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 999.7
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 997.6
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 957.3
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 945.9
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 927.6
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 918.3
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 900.0
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 893.9
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 873.9
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 862.6
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 826.0
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 813.8
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 800.1
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 783.8
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 732.1
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 724.5
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 691.4
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 666.9
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 654.8
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 191.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor 1.5
3d797911-d476-436f-9cce-33e20c_D8 Tumor 1.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8 Tumor 1.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3 Tumor 1.1
c307b7b0-534a-45fa-a420-35f773_D2 Normal 1.0
8af80ae9-2088-4124-91fb-8d6c17_D3 Tumor 1.0
5557e478-3e6f-475b-8acc-1b4159_D8 Tumor 0.9
526c3664-5b9b-4a2b-a00e-a14623_D2 Tumor 0.9
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor 0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2 Normal 0.8
65867ab1-5eab-44a8-b2bb-d27263_D2 Normal 0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor 0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor 0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2 Tumor 0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor 0.7
2666323d-522f-4f0a-823c-ff8866_D2 Normal 0.7
e3c012aa-51c2-42b0-a478-bd620f_D2 Normal 0.6
3765c09a-fff7-4b37-bf2b-452b23_D2 Normal 0.6
233ec093-9a30-4ef4-a12c-91757e_D2 Normal 0.6
47d2a435-b203-4438-ae72-53c424_D2 Normal 0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2 Normal 0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor 0.5
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor 0.5
1563ef63-d2e6-406f-adc1-255949_D3 Tumor 0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor 0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor 0.5
154115ac-2ec2-439d-b55e-0464ee_D2 Normal 0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor 0.5
411d9597-c785-4de5-b449-29a80d_D2 Normal 0.5
b3696374-c6c0-49dd-833e-596e26_D2 Normal 0.5
a313f6ef-5994-4d49-9e66-c26911_D2 Normal 0.5
a27cf22d-836e-49a7-802f-47c1db_D2 Normal 0.5
1136008b-97ce-49b0-bf24-abbea6_D2 Normal 0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2 Normal 0.5
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2 Normal 0.5
82157a70-12f1-4913-b548-d98881_D2 Normal 0.4
4b263734-430f-41dc-a296-8691f0_D3 Tumor 0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2 Normal 0.4
e515eb5c-8005-416a-9b42-59de9d_D8 Tumor 0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal 0.4
02cde0c0-6840-495b-9b11-007d82_D2 Normal 0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2 Normal 0.4
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor 0.4
bed27f66-ef3b-4868-b4ad-205018_D2 Normal 0.4
348f6009-e1be-44d2-a093-9ca844_D2 Normal 0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor 0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2 Normal 0.3
e1cd3d70-132b-452f-ba10-026721_D2 Tumor 0.3
54565eae-05c5-4dae-bde9-ae4874_D2 Normal 0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2 Normal 0.3
359f5c81-2575-497e-8630-e4866f_D2 Normal 0.3
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor 0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2 Normal 0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal 0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor 0.3
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal 0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2 Normal 0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3 Tumor 0.2
1c070992-647b-4173-a481-904c4d_D2 Normal 0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor 0.2
16ac8458-5200-4302-9ad0-b311df_D2 Normal 0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2 Normal 0.2
26acb513-3ffe-49ad-8581-9dfc97_D2 Normal 0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2 Normal 0.2
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal 0.2
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor 0.2
23e938d0-92b8-4aea-90c1-4385df_D2 Normal 0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor 0.1
6797a69d-2f74-44b9-8147-cd4fac_D2 Normal 0.1
41a04113-2061-4923-bca5-da586c_D2 Normal 0.1
cbd0e774-c741-4753-9c9e-391a7d_D2 Normal 0.1
694e8df1-d9ee-473b-bec1-4f9237_D2 Normal 0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2 Normal 0.1
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor 0.1
bc574f73-89ba-44d7-992e-82622c_D3 Tumor 0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor 0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3 Tumor 0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3 Tumor 0.1
5de06adb-e00d-4114-8d76-04bd30_D2 Normal 0.1
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal 0.1
176d1b96-8c6e-44fe-8a32-e15194_D2 Normal 0.1
963fc8db-f412-4427-a198-23f660_D2 Normal 0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2 Normal 0.1
067db520-1b1f-4569-9414-e37a6e_D2 Normal 0.1
3a17283c-a0f4-4514-956b-080d11_D2 Normal 0.1
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7bdfa5c9-d11f-4600-9c44-a87996_D2 Normal 0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2 Normal 0.0
df479b07-bbf6-472d-a580-c3fd0c_D2 Normal 0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2 Normal 0.0
853ecf90-71e6-4156-a56f-a34b65_D2 Normal 0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2 Normal 0.0
820a3f08-5bb1-44b3-a133-ee167e_D2 Tumor 0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor 0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal 0.0
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor 0.0
62627b73-1763-48bc-8eea-e5bd76_D2 Normal 0.0
974e136f-7020-4a38-b9c1-094df9_D2 Normal 0.0
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor 0.0
059a7065-3a5f-4eea-97e5-85ab01_D2 Normal 0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor 0.0
f6afe41c-111d-4818-8485-fe95e0_D2 Tumor 0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor 0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2 Normal 0.0
d8805fa4-30f9-4417-907e-fdc50c_D2 Normal 0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3 Tumor 0.0
b2978e90-cd2a-4665-b1bf-508a99_D2 Normal 0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2 Normal 0.0
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573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor -0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor -0.1
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cc271b3d-ed33-481f-9d23-15f2f6_D2 Normal -0.1
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a243b765-61ab-4aa6-88e1-226896_D2 Normal -0.1
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d80408d6-598d-4411-ab34-eb2545_D2 Normal -0.1
377cdd37-d1bd-4042-997e-478a0f_D2 Normal -0.1
5e886f1c-8165-4232-9591-d80799_D2 Normal -0.1
1bf00d93-240f-47e8-8055-f546b0_D2 Normal -0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal -0.2
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64ed43a2-f083-43cb-9d0d-118495_D2 Normal -0.2
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87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor -0.2
0c330883-ab58-4a5a-bff7-07d283_D2 Normal -0.2
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58a92726-4d1f-4e44-8938-52b97d_D3 Tumor -0.2
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0d5554d1-1653-4589-a44f-43113e_D2 Normal -0.3
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor -0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2 Normal -0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2 Normal -0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor -0.4
903d5fe0-970a-47be-a97f-3cc914_D2 Normal -0.4
bda3787a-1397-4716-bb17-4992a8_D2 Normal -0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2 Normal -0.4
2167c594-c33f-4795-b95b-69bd07_D2 Tumor -0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2 Normal -0.4
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799893aa-d523-4a08-9ea7-611cca_D3 Tumor -0.4
87b0e853-43ea-4efb-8a22-dd221f_D2 Normal -0.5
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79097be1-cd36-4a23-99d1-3d744f_D2 Tumor -0.5
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d3078fa8-0692-411f-8441-0c7c48_D8 Tumor -0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor -0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor -0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor -0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2 Normal -0.6
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor -0.6
092c5a37-325b-4181-b230-2d8fff_D2 Tumor -0.6
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor -0.6
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor -0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2 Normal -0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor -0.6
0f238226-864c-4de0-8c61-01e729_D2 Tumor -0.6
b2400046-1d25-429d-a821-6040a6 Tumor -0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2 Normal -0.9
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor -0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2 Tumor -0.9
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor -0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor -0.9
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor -0.9
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor -1.1
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor -1.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor -1.2
8cc7e656-0152-4359-8566-0581c3 Tumor -1.3
Show allShow less
COLORECTAL CANCER - Protein expressioni

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

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

 

Antibody stainingi

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

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


Antibody CAB008623
 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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