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CANCER COLORECTAL CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
COAD TCGA COAD VALIDATION READ TCGA READ VALIDATION PROTEIN COAD CPTAC
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.

MLEC 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.

: 154.58
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 151.5
Number of samples 254
Samples
Sample Description pTPM
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 687.6
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 456.7
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 448.1
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 382.9
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 382.6
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 362.4
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 341.8
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 331.0
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 318.3
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 296.2
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 294.3
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 288.0
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 287.0
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 280.5
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 273.6
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 261.3
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 258.2
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 258.0
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 251.2
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 251.0
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 250.1
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 248.3
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 241.7
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 239.8
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 235.2
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 232.7
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 230.1
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 225.9
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 224.0
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 223.4
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 221.9
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 220.9
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 216.1
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 214.8
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 211.7
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 208.5
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 206.6
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 205.8
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 205.5
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 205.4
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 205.3
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 204.4
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 203.8
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 202.8
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 201.8
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 197.0
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 195.2
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 195.0
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 194.2
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 192.5
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 192.1
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 190.5
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 189.1
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 188.7
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 188.2
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 187.8
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 187.0
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 186.8
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 186.5
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 185.7
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 185.7
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 185.2
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 184.9
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 184.5
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 184.4
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 182.5
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 182.1
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 181.2
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 179.9
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 179.7
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 179.7
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 178.4
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 178.0
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 176.5
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 175.4
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 174.4
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 173.3
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 171.8
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 171.8
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 167.1
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 166.2
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 166.2
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 163.1
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 162.0
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 161.5
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 161.1
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 160.8
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 160.2
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 159.7
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 159.1
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 159.1
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 159.0
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 158.3
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 157.7
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 156.2
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 156.0
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 155.3
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 154.6
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 154.3
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 154.0
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 153.1
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 152.5
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 152.4
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 152.3
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 150.7
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 150.6
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 149.3
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 149.3
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 148.9
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 148.4
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 147.2
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 145.3
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 145.1
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 144.7
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 144.4
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 141.8
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 141.3
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 141.0
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 140.9
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 140.7
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 140.7
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 140.4
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 139.9
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 139.8
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 138.6
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 138.4
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 138.4
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 136.7
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 136.4
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 136.1
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 135.9
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 135.7
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 135.2
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 134.7
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 134.7
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 134.2
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 133.3
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 131.2
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 129.5
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 129.5
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 129.4
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 129.1
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 128.9
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 127.2
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 127.1
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 126.2
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 125.6
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 124.9
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 124.5
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 124.0
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 123.8
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 123.5
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 122.5
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 122.1
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 122.1
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 121.1
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 120.6
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 120.2
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 118.3
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 118.3
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 117.8
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 117.6
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 115.7
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 115.6
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 114.6
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 114.0
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 113.9
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 113.5
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 112.8
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 112.4
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 112.2
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 112.0
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 111.6
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 110.2
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 109.9
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 109.4
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 109.4
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 109.4
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 109.3
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 108.8
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 108.3
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 108.1
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 108.0
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 107.6
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 107.3
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 107.1
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 106.6
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 106.4
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 106.1
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 104.5
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 103.6
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 101.7
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 101.5
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 101.2
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 101.2
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 101.1
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 100.4
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 99.2
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 99.1
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 98.7
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 98.2
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 97.1
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 97.0
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 96.9
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 96.3
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 93.9
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 93.6
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 93.6
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 93.2
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 93.1
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 91.5
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 91.2
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 90.8
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 89.3
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 89.1
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 88.9
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 88.1
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 87.9
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 87.8
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 86.6
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 85.9
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 85.4
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 85.1
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 84.9
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 84.0
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 82.7
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 81.1
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 78.1
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 77.9
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 77.4
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 77.4
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 77.1
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 76.7
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 76.5
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 74.7
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 72.2
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 72.1
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 71.1
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 69.8
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 68.3
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 66.9
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 66.5
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 64.8
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 62.7
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 62.5
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 59.5
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 59.1
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 58.9
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 57.3
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 54.3
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 53.5
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 52.7
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 52.2
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 42.2
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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.

MLEC 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.

: 398.66
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 369.1
Number of samples 486
Samples
Sample Description pTPM
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 905.7
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 890.7
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 809.8
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 786.5
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 777.9
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 772.3
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 737.4
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 720.7
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 715.9
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 711.3
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 698.0
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 693.5
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 680.9
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 672.4
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 654.7
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 653.3
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 649.8
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 649.3
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 646.1
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 642.4
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 642.3
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 639.7
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 630.3
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 619.1
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 615.5
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 604.5
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 601.9
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 598.2
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 583.7
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 582.2
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 578.8
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 575.4
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 570.4
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 568.2
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 567.5
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 566.9
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 564.5
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 564.3
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 562.8
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 561.0
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 557.8
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 555.6
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 555.0
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 554.3
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 553.9
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 551.8
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 550.5
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 547.5
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 545.8
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 543.0
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 542.3
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 541.9
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 539.2
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 538.9
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 534.3
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 528.3
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 525.1
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 523.0
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 522.9
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 517.4
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 515.4
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 511.0
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 510.2
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 509.8
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 509.5
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 507.4
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 502.7
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 498.8
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 498.5
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 495.5
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 490.6
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 489.5
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 489.3
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 489.2
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 488.6
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 484.8
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 484.2
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 483.9
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 482.9
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 482.6
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 481.7
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 480.6
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 480.1
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 479.9
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 479.9
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 479.7
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 477.0
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 475.3
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 474.8
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 474.2
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 473.6
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 473.3
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 470.6
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 468.7
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 467.0
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 466.4
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 464.1
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 464.1
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 461.6
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 461.2
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 460.7
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 457.9
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 456.2
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 455.5
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 455.0
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 453.4
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 453.0
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 452.6
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 452.1
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 451.6
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 450.8
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 449.5
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 448.7
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 447.9
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 447.8
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 446.9
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 446.2
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 445.7
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 445.1
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 444.7
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 441.2
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 440.3
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 438.6
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 437.6
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 437.0
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 435.8
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 435.5
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 435.3
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 434.0
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 433.4
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 432.3
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 430.8
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 430.0
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 429.4
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 429.3
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 428.6
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 427.8
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 426.1
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 425.2
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 425.0
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 421.4
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 421.4
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 421.1
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 420.7
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 417.2
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 416.5
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 416.1
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 415.6
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 415.5
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 414.7
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 414.0
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 412.2
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 411.9
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 410.7
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 410.1
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 409.6
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 407.0
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 406.3
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 406.1
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 404.5
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 404.1
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 403.7
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 403.3
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 403.0
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 402.9
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 402.6
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 402.5
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 401.9
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 401.2
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 401.1
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 399.3
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 398.0
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 395.9
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 395.1
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 395.0
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 394.4
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 393.6
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 392.6
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 392.1
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 392.0
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 390.7
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 390.7
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 389.6
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 388.9
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 388.5
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 388.2
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 388.1
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 387.8
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 387.2
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 386.8
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 386.2
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 386.1
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 385.9
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 385.5
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 384.4
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 382.8
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 382.1
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 381.2
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 379.9
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 378.9
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 378.5
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 378.0
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 377.4
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 377.1
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 377.1
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 376.5
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 376.4
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 376.2
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 376.1
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 375.8
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 375.4
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 374.8
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 374.7
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 374.3
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 373.6
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 373.2
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 372.8
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 372.3
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 371.7
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 371.5
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 371.0
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 371.0
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 367.9
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 367.9
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 367.3
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 366.7
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 366.0
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 365.9
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 365.3
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 365.2
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 365.2
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 364.8
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 364.2
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 364.2
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 362.6
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 362.3
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 362.0
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 361.5
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 361.4
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 361.2
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 359.1
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 358.8
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 358.5
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 357.8
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 356.9
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 356.2
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 355.9
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 352.2
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 352.0
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 351.8
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 351.7
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 351.6
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 351.1
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 350.9
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 350.8
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 350.6
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 349.9
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 347.8
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 347.0
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 346.6
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 346.5
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 344.7
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 344.4
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 344.2
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 343.5
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 342.4
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 342.0
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 341.9
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 341.0
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 339.6
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 338.6
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 338.5
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 338.5
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 338.0
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 337.7
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 335.2
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 333.9
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 333.8
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 333.4
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 333.3
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 332.8
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 332.1
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 331.8
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 331.3
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 330.9
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 330.7
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 329.6
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 329.4
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 328.8
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 327.2
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 326.7
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 326.5
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 325.9
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 325.0
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 322.5
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 321.6
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 321.4
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 319.9
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 319.5
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 318.0
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 317.2
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 316.9
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 316.5
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 316.4
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 315.8
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 315.7
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 314.6
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 313.1
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 312.9
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 310.8
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 310.6
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 310.3
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 309.5
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 308.9
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 308.8
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 308.6
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 308.1
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 308.0
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 308.0
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 307.6
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 307.1
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 306.4
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 305.1
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 305.0
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 303.8
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 303.3
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 303.2
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 302.4
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 302.1
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 300.5
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 299.1
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 299.0
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 298.3
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 297.1
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 296.8
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 296.6
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 293.2
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 292.4
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 292.0
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 291.9
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 291.7
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 288.9
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 288.6
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 288.4
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 288.0
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 288.0
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 287.3
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 286.3
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 285.4
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 283.8
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 283.7
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 283.3
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 283.2
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 281.9
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 281.8
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 281.5
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 281.4
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 279.9
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 279.4
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 278.0
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 277.4
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 277.1
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 275.1
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 275.1
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 274.9
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 274.7
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 274.4
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 272.4
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 271.5
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 270.8
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 270.6
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 270.4
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 270.2
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 268.9
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 265.4
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 265.0
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 264.4
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 263.0
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 261.4
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 261.0
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 259.9
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 259.4
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 259.1
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 258.0
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 258.0
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 257.2
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 257.1
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 256.8
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 256.3
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 255.7
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 254.7
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 254.4
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 254.3
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 254.0
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 253.7
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 253.5
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 253.3
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 252.9
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 252.6
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 252.5
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 251.9
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 251.5
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 251.4
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 250.9
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 249.1
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 248.3
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 248.3
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 247.2
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 246.1
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 245.3
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 244.2
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 243.7
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 242.2
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 241.4
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 241.0
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 240.8
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 240.7
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 237.9
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 237.6
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 237.1
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 236.2
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 234.6
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 232.3
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 232.2
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 229.8
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 229.1
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 226.4
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 224.9
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 223.9
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 223.2
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 221.8
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 221.7
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 221.1
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 219.6
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 219.4
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 219.0
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 218.4
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 218.2
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 217.4
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 217.3
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 216.9
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 214.8
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 214.2
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 208.9
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 207.2
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 205.4
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 203.6
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 203.5
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 203.2
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 201.9
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 201.9
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 201.7
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 201.0
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 201.0
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 194.8
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 193.5
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 193.3
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 192.0
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 189.5
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 188.1
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 188.0
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 187.9
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 187.8
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 187.0
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 185.3
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 185.3
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 181.9
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 180.9
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 180.9
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 180.6
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 179.6
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 179.4
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 179.2
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 174.0
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 170.1
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 169.2
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 162.2
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 157.2
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 153.1
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 151.1
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 148.3
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 142.0
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 140.0
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 129.2
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 118.2
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 45.0
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.

MLEC 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.

: 107.07
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 135.1
Number of samples 88
Samples
Sample Description pTPM
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 309.7
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 301.1
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 298.4
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 252.4
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 236.7
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 232.8
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 228.9
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 222.4
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 216.2
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 215.1
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 213.0
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 209.7
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 188.9
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 187.7
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 183.1
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 178.6
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 178.3
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 175.7
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 172.5
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 170.4
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 167.3
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 165.9
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 161.7
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 159.9
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 159.5
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 156.6
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 154.2
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 152.9
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 151.7
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 149.6
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 148.0
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 145.0
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 144.8
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 140.7
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 139.2
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 137.6
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 136.3
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 134.4
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 133.2
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 132.7
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 132.3
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 131.5
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 128.5
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 127.7
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 126.9
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 125.3
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 125.1
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 124.2
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 124.0
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 122.8
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 121.6
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 121.4
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 117.5
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 117.2
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 115.7
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 114.6
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 113.6
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 113.1
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 101.1
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 98.5
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 94.8
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 94.5
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 94.4
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 93.6
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 93.3
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 89.5
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 89.2
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 86.7
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 86.1
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 85.8
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 84.4
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 83.8
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 81.7
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 79.9
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 79.8
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 78.1
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 77.8
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 72.4
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 71.5
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 67.8
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 67.2
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 66.4
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 63.7
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 62.4
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 58.8
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 51.8
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 48.6
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 48.4
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.

MLEC 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.

: 279.4
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 326.2
Number of samples 207
Samples
Sample Description pTPM
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 975.5
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 700.7
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 648.9
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 629.9
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 621.8
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 576.1
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 538.4
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 514.1
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 509.4
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 500.3
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 488.1
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 485.4
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 482.3
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 482.2
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 481.1
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 478.4
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 470.2
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 466.8
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 462.2
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 457.2
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 455.0
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 454.2
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 452.6
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 450.5
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 448.1
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 447.2
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 445.9
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 445.6
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 441.8
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 441.7
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 441.5
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 440.7
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 437.6
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 429.5
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 427.5
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 426.5
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 425.1
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 420.2
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 419.9
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 419.1
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 415.9
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 413.6
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 408.0
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 402.8
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 402.5
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 402.1
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 401.3
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 400.4
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 397.7
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 396.6
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 393.9
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 387.9
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 386.7
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 384.5
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 384.4
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 384.4
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 384.3
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 383.6
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 380.0
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 379.1
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 379.1
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 378.0
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 376.4
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 375.6
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 375.4
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 374.7
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 373.0
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 371.2
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 368.8
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 366.4
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 365.8
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 364.8
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 364.7
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 364.3
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 363.0
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 362.2
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 361.8
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 361.3
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 361.2
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 359.4
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 356.0
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 350.4
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 350.0
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 347.6
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 345.4
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 345.0
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 343.2
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 342.4
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 340.5
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 339.0
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 339.0
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 337.9
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 337.7
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 337.1
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 336.8
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 335.0
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 333.7
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 332.6
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 330.3
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 329.0
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 326.6
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 323.4
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 319.3
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 318.7
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 317.1
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 316.0
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 313.9
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 312.8
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 309.9
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 307.6
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 306.9
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 305.9
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 305.7
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 303.7
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 301.4
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 299.4
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 298.6
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 296.7
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 293.2
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 293.0
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 288.8
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 288.6
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 287.0
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 286.0
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 284.9
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 283.2
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 282.4
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 281.2
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 280.5
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 279.8
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 279.6
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 279.2
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 273.4
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 273.0
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 272.7
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 271.6
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 270.3
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 270.2
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 268.8
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 268.0
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 266.9
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 266.8
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 265.5
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 264.9
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 262.6
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 262.3
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 260.1
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 257.6
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 255.5
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 252.2
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 251.5
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 251.2
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 247.5
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 246.9
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 246.4
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 242.8
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 241.7
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 241.7
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 241.3
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 239.8
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 237.1
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 235.5
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 234.7
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 234.5
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 230.4
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 229.8
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 224.6
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 224.2
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 222.7
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 222.5
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 221.8
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 219.8
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 214.5
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 212.7
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 212.4
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 210.7
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 207.2
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 207.2
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 206.9
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 204.9
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 204.2
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 203.8
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 200.3
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 199.4
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 191.9
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 190.6
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 185.9
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 185.1
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 182.9
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 181.7
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 176.3
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 175.4
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 174.4
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 173.4
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 171.4
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 163.0
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 155.9
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 154.6
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 154.3
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 151.3
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 148.9
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 139.8
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 138.0
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 138.0
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 125.3
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 124.1
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 119.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
3d797911-d476-436f-9cce-33e20c_D8 Tumor 1.2
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor 0.9
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor 0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor 0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor 0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor 0.7
a467b905-fc0b-427b-8753-6d38dd_D3 Tumor 0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor 0.7
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor 0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor 0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3 Tumor 0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3 Tumor 0.5
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor 0.5
87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor 0.5
8cc7e656-0152-4359-8566-0581c3 Tumor 0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor 0.5
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8 Tumor 0.5
0f238226-864c-4de0-8c61-01e729_D2 Tumor 0.5
54565eae-05c5-4dae-bde9-ae4874_D2 Normal 0.5
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor 0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor 0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor 0.4
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor 0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor 0.4
e196a0b4-2a05-43de-bb30-ceb761_D2 Tumor 0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3 Tumor 0.4
43192517-085e-450e-9481-0a6713_D3 Tumor 0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor 0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2 Tumor 0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor 0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor 0.3
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor 0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2 Normal 0.3
2167c594-c33f-4795-b95b-69bd07_D2 Tumor 0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor 0.3
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor 0.3
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor 0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3 Tumor 0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3 Tumor 0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor 0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2 Normal 0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor 0.3
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor 0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor 0.2
e070ff10-058b-4733-93ab-bdd702_D2 Normal 0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor 0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2 Tumor 0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3 Tumor 0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2 Normal 0.2
799893aa-d523-4a08-9ea7-611cca_D3 Tumor 0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2 Tumor 0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor 0.2
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor 0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2 Tumor 0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3 Tumor 0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor 0.2
c65afd57-530c-4366-b2c8-463a46_D2 Tumor 0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2 Tumor 0.1
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor 0.1
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor 0.1
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor 0.1
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor 0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2 Normal 0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor 0.1
87b0e853-43ea-4efb-8a22-dd221f_D2 Normal 0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3 Tumor 0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2 Normal 0.1
f6afe41c-111d-4818-8485-fe95e0_D2 Tumor 0.1
348f6009-e1be-44d2-a093-9ca844_D2 Normal 0.1
37219a7c-6fe2-4684-a494-d0be08_D2 Tumor 0.1
bda3787a-1397-4716-bb17-4992a8_D2 Normal 0.1
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor 0.1
64ed43a2-f083-43cb-9d0d-118495_D2 Normal 0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2 Tumor 0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor 0.0
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor 0.0
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor 0.0
a84149b1-8453-45f0-8400-d7b12f_D2 Normal 0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal 0.0
4b263734-430f-41dc-a296-8691f0_D3 Tumor 0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3 Tumor 0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor 0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal 0.0
092c5a37-325b-4181-b230-2d8fff_D2 Tumor 0.0
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor 0.0
2b810478-7956-4a8b-870d-184859_D2 Tumor 0.0
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal 0.0
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor 0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2 Normal 0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal 0.0
573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor 0.0
5e886f1c-8165-4232-9591-d80799_D2 Normal 0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3 Tumor 0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor -0.1
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor -0.1
0d5554d1-1653-4589-a44f-43113e_D2 Normal -0.1
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor -0.1
e515eb5c-8005-416a-9b42-59de9d_D8 Tumor -0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2 Normal -0.1
cbd0e774-c741-4753-9c9e-391a7d_D2 Normal -0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor -0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2 Normal -0.1
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor -0.1
1bf00d93-240f-47e8-8055-f546b0_D2 Normal -0.1
d8805fa4-30f9-4417-907e-fdc50c_D2 Normal -0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2 Normal -0.1
0c330883-ab58-4a5a-bff7-07d283_D2 Normal -0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2 Normal -0.1
974e136f-7020-4a38-b9c1-094df9_D2 Normal -0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2 Normal -0.1
6797a69d-2f74-44b9-8147-cd4fac_D2 Normal -0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3 Tumor -0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2 Normal -0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2 Normal -0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor -0.2
694e8df1-d9ee-473b-bec1-4f9237_D2 Normal -0.2
e3c012aa-51c2-42b0-a478-bd620f_D2 Normal -0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2 Normal -0.2
5557e478-3e6f-475b-8acc-1b4159_D8 Tumor -0.2
377cdd37-d1bd-4042-997e-478a0f_D2 Normal -0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor -0.2
d80408d6-598d-4411-ab34-eb2545_D2 Normal -0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2 Normal -0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor -0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2 Normal -0.2
8af80ae9-2088-4124-91fb-8d6c17_D3 Tumor -0.2
da747cee-5026-4923-af63-ad9f81_D2 Normal -0.2
b3696374-c6c0-49dd-833e-596e26_D2 Normal -0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2 Normal -0.2
963fc8db-f412-4427-a198-23f660_D2 Normal -0.2
3a17283c-a0f4-4514-956b-080d11_D2 Normal -0.2
82157a70-12f1-4913-b548-d98881_D2 Normal -0.2
b2978e90-cd2a-4665-b1bf-508a99_D2 Normal -0.2
a313f6ef-5994-4d49-9e66-c26911_D2 Normal -0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor -0.3
820a3f08-5bb1-44b3-a133-ee167e_D2 Tumor -0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2 Normal -0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2 Normal -0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2 Normal -0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal -0.3
154115ac-2ec2-439d-b55e-0464ee_D2 Normal -0.3
23e938d0-92b8-4aea-90c1-4385df_D2 Normal -0.3
a27cf22d-836e-49a7-802f-47c1db_D2 Normal -0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2 Normal -0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2 Normal -0.3
df479b07-bbf6-472d-a580-c3fd0c_D2 Normal -0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2 Normal -0.3
65867ab1-5eab-44a8-b2bb-d27263_D2 Normal -0.3
16ac8458-5200-4302-9ad0-b311df_D2 Normal -0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2 Normal -0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2 Normal -0.4
bc574f73-89ba-44d7-992e-82622c_D3 Tumor -0.4
62627b73-1763-48bc-8eea-e5bd76_D2 Normal -0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2 Normal -0.4
47d2a435-b203-4438-ae72-53c424_D2 Normal -0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2 Normal -0.4
e1cd3d70-132b-452f-ba10-026721_D2 Tumor -0.4
903d5fe0-970a-47be-a97f-3cc914_D2 Normal -0.4
bed27f66-ef3b-4868-b4ad-205018_D2 Normal -0.4
853ecf90-71e6-4156-a56f-a34b65_D2 Normal -0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2 Normal -0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2 Normal -0.5
1563ef63-d2e6-406f-adc1-255949_D3 Tumor -0.5
059a7065-3a5f-4eea-97e5-85ab01_D2 Normal -0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2 Normal -0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor -0.5
5de06adb-e00d-4114-8d76-04bd30_D2 Normal -0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2 Normal -0.5
41a04113-2061-4923-bca5-da586c_D2 Normal -0.5
26acb513-3ffe-49ad-8581-9dfc97_D2 Normal -0.5
a243b765-61ab-4aa6-88e1-226896_D2 Normal -0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal -0.6
176d1b96-8c6e-44fe-8a32-e15194_D2 Normal -0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2 Normal -0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2 Normal -0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2 Normal -0.6
1136008b-97ce-49b0-bf24-abbea6_D2 Normal -0.6
233ec093-9a30-4ef4-a12c-91757e_D2 Normal -0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2 Normal -0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2 Normal -0.6
359f5c81-2575-497e-8630-e4866f_D2 Normal -0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2 Normal -0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2 Normal -0.7
1c070992-647b-4173-a481-904c4d_D2 Normal -0.7
526c3664-5b9b-4a2b-a00e-a14623_D2 Tumor -0.7
c307b7b0-534a-45fa-a420-35f773_D2 Normal -0.8
067db520-1b1f-4569-9414-e37a6e_D2 Normal -0.8
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal -0.8
02cde0c0-6840-495b-9b11-007d82_D2 Normal -0.9
3765c09a-fff7-4b37-bf2b-452b23_D2 Normal -1.0
efee6bb9-69dd-46c2-85b3-b55962_D2 Normal -1.0
2666323d-522f-4f0a-823c-ff8866_D2 Normal -1.1
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal -1.3
b2400046-1d25-429d-a821-6040a6 Tumor -1.3
411d9597-c785-4de5-b449-29a80d_D2 Normal -1.5
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.

Pending cancer tissue analysis

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