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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ACTB is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
4875.5
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
9165.6
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
9078.0
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
8795.9
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
8746.2
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
8716.3
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
8495.3
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
8397.8
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
8391.6
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
8326.8
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
8255.5
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
8105.9
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
7797.5
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
7738.7
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
7679.8
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
7637.3
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
7624.0
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
7518.3
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
7461.9
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
7407.3
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7326.1
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
7257.9
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
7232.8
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
7040.5
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
6940.5
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
6912.9
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
6904.9
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
6903.0
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
6823.5
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
6694.2
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
6648.5
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
6637.3
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
6630.3
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
6593.3
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
6577.8
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
6569.4
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
6479.1
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
6476.7
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
6459.4
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
6408.8
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
6287.7
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
6255.7
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
6252.3
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
6250.3
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
6231.6
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
6226.1
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
6203.7
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
6182.1
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
6166.1
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
6126.2
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
6118.8
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
6094.1
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
6087.4
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
6085.3
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
6075.1
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
6065.4
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
6012.5
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
5990.1
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
5985.1
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
5910.6
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
5835.4
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
5825.9
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
5789.3
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
5721.8
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
5688.1
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
5660.9
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
5643.7
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
5614.6
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
5606.7
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
5594.9
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
5591.5
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
5576.6
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5557.8
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
5524.3
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5510.5
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
5405.0
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
5403.3
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
5388.5
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
5377.5
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
5335.2
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
5283.9
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
5282.6
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
5274.4
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
5272.0
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
5265.3
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
5263.6
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
5241.2
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
5219.1
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
5204.2
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
5203.9
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
5183.5
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
5134.8
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
5131.1
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
5120.0
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
5091.1
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
5065.4
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
5054.8
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
5040.6
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
5033.5
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
5021.3
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
5015.6
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
5013.7
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
5011.0
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
4972.9
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
4948.0
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
4933.6
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
4914.2
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
4911.7
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
4907.4
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
4859.3
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
4852.3
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
4852.1
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
4845.6
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
4840.4
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
4838.2
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
4835.7
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
4810.7
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
4799.4
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
4792.7
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
4761.0
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
4757.9
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
4746.5
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
4740.8
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
4726.9
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
4725.0
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
4724.7
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
4723.7
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
4723.6
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
4710.6
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
4683.4
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
4662.5
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
4616.5
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
4595.7
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
4595.5
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
4592.2
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
4588.0
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
4580.1
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4576.5
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
4570.7
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
4542.0
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
4514.1
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
4501.8
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
4500.8
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
4498.8
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
4489.5
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
4474.8
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
4465.9
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
4453.5
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
4441.4
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
4432.8
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
4427.0
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
4412.7
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
4405.4
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4398.7
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
4374.6
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
4371.7
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
4343.6
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
4307.4
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
4297.9
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
4283.4
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
4272.1
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
4266.2
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
4264.8
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
4260.3
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
4240.2
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
4235.8
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
4228.0
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
4223.9
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
4216.4
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
4184.6
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
4179.5
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4171.3
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
4144.2
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4122.8
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
4117.1
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
4107.8
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4086.4
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
4055.4
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
4023.5
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
4005.7
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
3990.3
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
3985.0
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
3977.0
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
3973.3
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
3965.7
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
3960.2
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
3941.7
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
3908.9
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
3885.2
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
3854.7
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3850.7
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
3838.8
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
3790.8
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
3746.8
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
3734.8
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
3732.3
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
3721.6
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
3717.0
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3697.1
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
3686.2
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
3651.7
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
3651.4
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
3645.0
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
3642.1
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
3631.4
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
3600.3
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
3587.4
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
3584.0
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
3581.0
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
3575.4
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
3571.4
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
3564.7
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
3519.6
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
3515.1
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
3428.3
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
3423.3
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
3406.5
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
3386.8
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
3385.2
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
3369.2
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
3358.1
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
3341.8
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
3265.9
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
3245.7
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
3209.7
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
3207.1
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
3156.5
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
3148.6
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
3134.6
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3131.5
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
3069.7
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3035.7
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
3017.4
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
3001.0
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
2987.6
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
2927.9
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
2876.8
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
2844.6
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
2827.7
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
2797.5
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
2792.4
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
2787.1
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2756.7
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
2754.6
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
2699.9
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2661.2
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
2640.1
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2559.3
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
2493.6
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
2483.5
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
2282.8
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
2280.8
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
2263.9
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
2263.0
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ACTB 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.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
6351.7
Number of samples
486
Samples
Sample
Description
pTPM
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
13282.6
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
11576.6
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
11464.7
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
10112.9
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
10018.4
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
9969.8
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
9956.2
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
9944.6
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
9793.2
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
9761.4
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
9697.5
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
9602.3
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
9582.8
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
9563.1
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
9544.0
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
9514.0
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
9454.2
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
9425.8
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
9211.8
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
9160.7
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
9144.3
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
9053.6
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
9012.4
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
8966.9
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
8934.0
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
8889.6
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
8866.2
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
8831.2
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
8802.4
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
8754.0
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
8723.9
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
8704.7
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
8683.6
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
8621.8
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
8549.6
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
8530.0
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
8524.2
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
8501.7
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
8483.3
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
8476.0
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
8464.9
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
8460.5
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
8433.2
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
8376.6
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
8371.4
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
8355.5
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
8327.0
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
8322.5
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
8316.8
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
8310.8
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
8283.1
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
8278.1
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
8265.3
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
8233.7
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
8214.1
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
8193.5
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
8132.2
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
8109.4
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
8106.4
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
8101.9
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
8071.0
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
8070.8
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
8013.5
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
8009.4
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
8005.1
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
8002.7
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
7992.8
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
7983.5
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
7965.9
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
7963.9
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
7961.3
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
7960.8
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
7935.5
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
7929.5
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
7925.1
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
7922.2
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
7890.7
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
7886.6
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
7880.4
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
7875.4
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
7839.5
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
7811.4
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
7806.2
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
7763.8
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
7762.7
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
7745.5
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
7739.7
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
7729.6
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
7703.6
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
7696.7
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
7680.9
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
7678.8
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
7662.1
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
7647.6
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
7613.8
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
7606.4
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
7595.2
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
7587.5
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
7563.7
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
7559.0
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
7512.5
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
7501.1
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
7490.3
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
7476.8
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
7475.6
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
7475.0
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
7460.3
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
7447.1
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
7439.4
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
7428.6
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
7426.7
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
7420.9
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
7406.5
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
7401.4
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
7384.7
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
7377.0
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
7357.7
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
7355.1
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
7353.1
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
7336.8
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
7329.6
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
7322.3
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
7321.3
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
7317.4
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
7294.2
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
7290.7
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
7276.9
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
7272.5
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
7256.0
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
7250.0
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
7243.1
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
7235.8
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
7209.6
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
7206.5
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
7202.4
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
7200.4
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
7156.7
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
7136.5
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
7126.1
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
7124.2
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
7119.4
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
7113.0
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
7112.7
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
7111.9
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
7108.6
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
7105.0
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
7103.6
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
7102.1
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
7101.0
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
7089.7
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
7067.2
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
7066.5
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
7049.4
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
7049.3
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
7031.0
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
6990.0
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
6984.8
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
6973.6
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
6965.1
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
6951.2
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
6944.4
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
6944.2
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
6942.4
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
6937.5
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
6936.3
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
6928.3
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
6910.7
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
6910.5
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
6892.9
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
6888.7
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
6877.8
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
6871.3
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
6866.4
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
6866.0
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
6863.9
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
6859.1
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
6843.3
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
6836.8
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
6776.4
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
6773.6
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
6761.4
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
6754.8
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
6749.3
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
6743.7
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
6737.7
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
6711.9
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
6705.2
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
6694.5
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
6692.2
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
6664.6
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
6663.1
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
6655.1
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
6645.9
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
6641.2
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
6622.2
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
6617.7
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
6611.2
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
6609.9
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
6607.5
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
6600.4
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
6590.6
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
6586.5
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
6575.8
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
6573.4
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
6555.7
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
6554.2
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
6539.1
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
6528.4
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
6524.5
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
6510.7
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
6498.1
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
6496.2
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
6495.4
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
6485.3
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
6483.6
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
6462.7
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
6454.4
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
6440.2
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
6437.1
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
6434.9
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
6422.2
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
6416.8
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
6414.9
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
6401.2
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
6390.1
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
6387.6
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
6370.5
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
6369.9
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
6362.8
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
6355.2
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
6350.5
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
6332.9
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
6331.9
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
6313.6
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
6302.3
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
6294.8
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
6287.5
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
6286.0
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
6281.1
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
6250.9
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
6243.8
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
6239.2
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
6233.1
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
6229.5
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
6227.8
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
6218.4
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
6212.0
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
6189.6
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
6183.4
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
6171.2
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
6167.1
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
6163.7
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
6163.6
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
6162.3
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
6158.1
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
6155.2
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
6151.8
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
6146.9
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
6145.7
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
6143.3
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
6142.3
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
6135.2
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
6126.0
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
6116.6
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
6091.8
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
6084.5
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
6063.7
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
6051.9
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
6051.6
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
6050.4
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
6049.6
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
6043.6
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
6030.3
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
6029.3
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
6027.5
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
6007.3
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
6006.6
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
6006.0
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
6003.5
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
5991.0
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
5985.7
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
5978.2
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
5966.8
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
5962.6
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
5947.2
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
5944.7
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
5930.2
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
5925.5
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
5913.8
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
5911.0
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
5899.7
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
5888.7
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
5840.8
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
5840.0
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
5831.7
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
5829.9
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
5824.5
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
5812.3
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
5809.7
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
5799.3
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
5771.0
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
5753.8
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
5738.7
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
5738.1
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
5736.6
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
5730.8
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
5727.4
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
5722.6
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
5712.7
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
5710.9
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
5708.0
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
5705.3
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
5703.8
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
5697.2
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
5685.6
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
5683.1
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
5677.1
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
5676.8
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
5672.8
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
5662.6
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
5649.8
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
5644.4
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
5614.8
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
5613.1
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
5606.9
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
5603.8
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
5597.3
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
5595.9
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
5595.3
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
5582.4
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
5575.4
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
5561.1
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
5529.5
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
5523.9
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
5518.2
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
5505.1
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
5502.5
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
5502.0
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
5499.2
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
5497.1
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
5490.3
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
5488.8
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
5486.9
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
5467.6
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
5448.5
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
5436.0
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
5432.7
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
5424.6
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
5419.8
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
5417.6
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
5414.7
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
5408.4
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
5399.9
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
5399.8
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
5395.8
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
5395.0
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
5378.0
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
5374.4
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
5368.8
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
5366.2
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
5359.1
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
5346.4
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
5342.5
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
5337.4
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
5332.4
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
5324.1
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
5315.9
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
5314.9
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
5311.9
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
5294.4
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
5289.2
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
5268.2
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
5266.0
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
5240.9
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
5230.0
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
5221.7
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
5220.7
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
5199.2
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
5198.4
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
5197.9
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
5191.2
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
5173.4
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
5167.1
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
5152.8
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
5135.1
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
5124.4
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
5123.0
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
5111.9
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
5101.9
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
5096.3
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
5086.2
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
5084.5
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
5066.5
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
5004.9
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
4996.9
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
4971.2
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
4966.4
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
4938.6
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
4925.8
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
4925.1
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
4914.8
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
4892.3
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
4888.9
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
4888.1
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
4877.7
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
4861.6
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
4844.2
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
4834.2
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
4809.1
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
4799.7
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
4799.3
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
4775.8
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
4767.6
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
4763.7
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
4754.3
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
4742.4
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
4694.0
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
4683.5
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
4681.6
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
4678.6
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
4674.7
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
4640.8
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
4632.8
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
4613.9
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
4608.0
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
4601.4
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
4576.2
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
4551.9
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
4548.0
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
4512.7
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
4510.9
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
4500.6
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
4492.0
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
4491.2
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
4490.2
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
4489.0
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
4486.7
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
4457.5
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
4442.8
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
4441.2
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
4440.4
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
4439.6
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
4436.9
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
4425.6
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
4417.4
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
4412.2
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
4404.3
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
4340.5
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
4323.6
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
4316.4
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
4298.8
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
4297.5
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
4278.4
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
4248.6
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
4231.1
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
4223.2
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
4208.9
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
4207.8
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
4148.0
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
4133.7
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
4131.3
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
4111.8
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
4097.7
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
4044.5
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
4037.5
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
4026.9
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
4023.2
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
4017.9
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
3967.1
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
3962.1
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
3829.4
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
3777.6
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
3746.6
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
3724.3
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
3672.0
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
3642.5
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
3641.4
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
3639.3
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
3578.1
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
3525.8
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
3523.3
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
3516.2
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
2912.2
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
2907.1
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
2795.5
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ACTB is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
4755.2
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
10866.8
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
8612.6
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
8201.6
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
8085.9
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
7484.8
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
7262.4
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
7240.9
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
7102.6
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
6729.3
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
6625.6
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
6219.2
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
6189.7
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
6168.5
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
6122.6
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
5746.4
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
5736.0
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
5731.2
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
5715.1
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
5560.0
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
5554.5
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
5482.9
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
5436.4
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
5353.4
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
5303.7
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
5302.2
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
5300.6
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
5291.3
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
5233.3
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
5168.4
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
5143.4
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
5119.8
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
5082.6
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5049.5
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
4984.6
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
4926.6
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
4817.9
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
4807.8
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
4792.8
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
4729.1
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
4550.4
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
4518.2
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
4504.9
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
4417.4
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
4416.2
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
4397.1
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
4396.5
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
4387.3
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
4322.4
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
4248.2
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
4198.4
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
4172.1
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
4153.1
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
4151.1
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
4142.5
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
4093.7
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
4082.9
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
4003.4
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
3984.3
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
3957.6
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
3923.0
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
3862.7
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
3857.8
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
3852.7
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
3843.4
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
3843.3
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
3784.1
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
3760.5
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
3674.2
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
3661.6
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
3655.2
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
3629.0
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
3579.8
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
3579.2
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
3515.7
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
3489.7
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
3464.6
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3426.3
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
3406.3
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
3371.3
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
3303.5
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
3190.8
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
3128.4
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
2968.5
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
2906.7
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
2881.5
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
2863.6
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
2374.1
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ACTB is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
5620.0
Number of samples
207
Samples
Sample
Description
pTPM
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
13928.4
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
11169.7
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
10478.6
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
9597.5
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
9570.2
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
9228.7
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
9103.4
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
8941.8
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
8935.0
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
8866.5
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
8717.3
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
8531.7
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
8514.5
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
8173.9
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
8066.5
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
8000.2
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
7835.2
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
7824.4
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
7820.8
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
7651.6
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
7649.9
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
7642.2
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
7591.6
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
7543.3
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
7491.9
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
7419.2
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
7397.4
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
7382.9
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
7372.6
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
7254.5
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
7234.1
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
7149.3
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
7127.9
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
7020.4
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
6996.1
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
6975.1
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
6923.4
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
6892.5
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
6882.4
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
6840.4
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
6718.0
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
6708.3
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
6672.9
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
6647.1
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
6630.1
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
6544.7
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
6521.0
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
6512.2
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
6510.2
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
6450.3
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
6448.8
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
6438.7
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
6386.1
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
6370.4
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
6362.6
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
6356.9
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
6346.8
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
6296.9
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
6234.5
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
6227.4
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
6199.6
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
6175.3
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
6166.8
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
6148.7
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
6144.1
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
6109.8
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
6097.3
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
6093.7
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
6048.9
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
6020.7
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
6006.0
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
5993.4
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
5978.3
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
5948.4
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
5944.1
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
5903.1
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
5879.1
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
5858.8
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
5852.2
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
5849.3
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
5838.0
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
5805.8
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
5774.1
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
5735.9
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
5735.5
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
5718.2
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
5717.4
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
5689.2
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
5685.1
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
5683.8
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
5664.9
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
5657.9
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
5650.5
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
5644.9
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
5634.5
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
5632.7
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
5624.7
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
5623.5
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
5604.8
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
5543.4
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
5525.2
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
5492.7
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
5484.6
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
5476.1
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
5475.5
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
5465.1
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
5452.0
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
5447.2
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
5439.6
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
5427.6
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
5386.7
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
5365.8
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
5349.3
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
5291.5
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
5287.1
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
5279.9
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
5267.8
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
5256.4
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
5238.8
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
5222.6
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
5168.2
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
5149.3
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
5096.4
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
5095.3
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
5093.9
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
5088.9
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
5072.7
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
5072.3
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
5048.8
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
5033.8
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
5031.5
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
5013.2
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
5000.0
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
4981.2
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
4961.5
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
4958.4
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
4955.2
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
4946.1
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
4901.5
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
4897.4
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
4893.5
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
4869.6
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
4866.3
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
4848.4
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
4824.7
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
4787.8
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
4774.1
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
4763.8
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
4758.5
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
4753.1
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
4743.4
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
4739.4
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
4738.4
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
4661.4
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
4653.1
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
4556.5
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
4540.0
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
4501.2
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
4482.6
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
4481.4
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
4455.4
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
4454.2
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
4424.7
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
4407.4
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
4375.9
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
4322.3
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
4301.4
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
4143.6
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
4079.6
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
4022.3
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
4012.0
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
3954.7
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
3954.6
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
3927.8
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
3918.6
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
3905.2
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
3901.0
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
3898.3
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
3883.0
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
3839.3
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
3830.3
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
3797.3
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
3796.0
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
3783.8
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
3768.3
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
3757.8
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
3728.0
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
3694.3
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
3652.9
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
3619.6
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
3614.4
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
3522.9
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
3508.0
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
3476.5
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
3465.6
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
3361.1
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
3332.5
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
3292.3
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
3243.7
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
3238.7
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
3235.0
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
3214.9
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
3183.2
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
2743.0
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
2714.6
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
2527.4
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
423.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
