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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.
H2BC12 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 TPM
100.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
827.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
721.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
660.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
625.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
525.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
505.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
483.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
479.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
448.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
395.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
358.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
315.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
285.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
272.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
266.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
255.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
254.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
245.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
243.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
232.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
227.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
192.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
188.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
187.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
175.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
172.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
172.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
171.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
171.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
169.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
164.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
163.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
160.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
158.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
157.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
157.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
154.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
151.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
149.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
147.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
147.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
144.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
142.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
142.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
141.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
140.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
138.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
135.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
135.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
134.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
134.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
134.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
133.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
133.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
131.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
131.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
128.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
125.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
120.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
115.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
112.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
112.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
109.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
108.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
107.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
107.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
107.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
106.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
105.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
104.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
103.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
102.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
102.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
101.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
101.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
100.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
99.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
99.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
98.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
98.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
97.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
97.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
95.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
94.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
94.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
94.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
93.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
93.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
90.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
88.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
88.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
87.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
85.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
85.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
85.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
85.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
84.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
84.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
82.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
82.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
81.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
79.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
79.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
79.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
78.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
77.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
75.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
75.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
74.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
73.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
72.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
71.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
71.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
71.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
70.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
69.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
69.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
68.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
68.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
68.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
66.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
66.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
66.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
65.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
65.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
65.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
65.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
64.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
64.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
64.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
62.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
62.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
62.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
60.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
60.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
60.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
60.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
59.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
59.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
59.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
58.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
57.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
57.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
57.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
56.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
56.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
56.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
56.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
55.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
55.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
54.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
54.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
53.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
52.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
52.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
52.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
52.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
51.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
51.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
51.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
50.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
49.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
48.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
48.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
47.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
47.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
47.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
46.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
46.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
46.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
46.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
46.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
46.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
45.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
45.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
44.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
43.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
43.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
43.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
42.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
41.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
41.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
41.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
41.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
41.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
39.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
38.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
38.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
37.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
37.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
37.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
36.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
35.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
35.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
35.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
35.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
35.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
34.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
34.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
33.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
33.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
33.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
30.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
30.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
29.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
28.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
28.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
27.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
27.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
27.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
26.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
25.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
25.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
23.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
22.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
20.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
17.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
14.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 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.
H2BC12 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 TPM
479.0
Number of samples
486
Samples
Sample
Description
TPM
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1338.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1336.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1306.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1146.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1133.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1103.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1088.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1049.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1035.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1031.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1028.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1017.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1005.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
996.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
988.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
987.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
978.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
957.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
941.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
940.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
924.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
918.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
914.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
829.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
828.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
828.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
823.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
811.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
808.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
804.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
796.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
793.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
792.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
788.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
787.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
782.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
781.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
777.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
775.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
773.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
772.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
770.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
768.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
767.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
758.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
757.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
752.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
750.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
746.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
744.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
734.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
732.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
731.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
728.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
722.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
721.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
720.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
715.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
712.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
709.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
707.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
702.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
691.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
684.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
682.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
680.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
674.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
671.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
669.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
664.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
664.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
663.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
663.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
659.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
659.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
658.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
656.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
655.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
655.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
654.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
654.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
651.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
651.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
650.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
647.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
647.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
645.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
644.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
644.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
639.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
639.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
639.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
638.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
636.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
633.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
633.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
630.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
629.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
628.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
626.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
622.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
622.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
618.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
617.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
614.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
614.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
613.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
611.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
606.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
603.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
602.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
598.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
594.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
591.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
589.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
589.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
584.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
584.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
583.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
582.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
577.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
575.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
571.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
570.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
568.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
568.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
566.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
566.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
565.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
563.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
562.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
562.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
561.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
558.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
556.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
555.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
555.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
554.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
554.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
554.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
553.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
552.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
551.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
549.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
548.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
548.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
544.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
543.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
543.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
542.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
542.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
541.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
541.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
541.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
540.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
538.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
538.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
537.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
536.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
533.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
533.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
532.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
531.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
530.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
530.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
528.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
525.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
522.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
520.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
520.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
518.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
515.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
514.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
514.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
513.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
512.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
512.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
511.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
511.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
510.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
510.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
509.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
508.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
508.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
508.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
507.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
506.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
505.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
504.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
503.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
502.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
502.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
501.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
501.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
500.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
499.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
497.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
494.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
493.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
493.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
493.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
492.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
491.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
491.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
489.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
489.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
488.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
487.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
486.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
486.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
485.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
481.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
481.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
480.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
480.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
479.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
478.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
475.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
475.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
471.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
470.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
465.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
461.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
460.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
460.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
460.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
460.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
460.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
459.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
458.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
458.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
457.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
455.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
455.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
453.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
453.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
453.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
450.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
448.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
447.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
446.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
446.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
445.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
444.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
443.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
442.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
440.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
439.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
438.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
437.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
436.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
436.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
435.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
434.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
434.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
433.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
433.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
432.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
431.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
430.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
428.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
426.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
425.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
424.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
424.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
424.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
423.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
422.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
421.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
420.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
418.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
417.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
417.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
417.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
416.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
416.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
415.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
415.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
414.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
414.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
414.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
414.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
412.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
412.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
412.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
412.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
411.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
411.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
410.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
409.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
408.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
406.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
405.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
405.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
405.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
405.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
403.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
402.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
401.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
400.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
399.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
399.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
398.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
395.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
394.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
394.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
393.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
392.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
391.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
390.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
389.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
389.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
386.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
385.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
385.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
384.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
384.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
383.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
381.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
381.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
380.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
379.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
379.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
376.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
375.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
373.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
373.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
373.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
372.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
371.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
371.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
370.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
369.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
368.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
367.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
366.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
364.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
363.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
362.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
362.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
361.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
361.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
358.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
356.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
355.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
354.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
354.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
352.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
350.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
350.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
349.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
348.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
346.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
346.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
345.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
344.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
344.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
344.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
343.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
342.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
340.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
339.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
337.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
336.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
336.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
335.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
332.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
331.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
330.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
329.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
328.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
326.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
325.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
322.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
322.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
321.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
321.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
321.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
320.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
320.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
320.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
319.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
318.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
317.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
316.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
316.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
316.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
314.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
313.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
311.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
310.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
309.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
307.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
305.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
304.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
302.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
302.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
300.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
298.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
296.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
295.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
292.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
291.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
291.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
290.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
288.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
287.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
287.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
286.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
286.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
286.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
286.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
286.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
284.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
281.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
279.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
277.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
277.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
276.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
275.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
274.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
273.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
269.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
268.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
266.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
265.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
265.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
264.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
263.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
263.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
263.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
263.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
263.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
262.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
261.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
261.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
261.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
259.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
259.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
259.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
258.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
257.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
255.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
252.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
251.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
250.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
250.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
246.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
246.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
244.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
244.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
243.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
243.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
242.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
242.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
241.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
235.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
230.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
228.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
218.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
217.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
214.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
211.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
211.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
209.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
208.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
203.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
201.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
196.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
195.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
194.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
194.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
188.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
188.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
188.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
185.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
183.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
177.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
161.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
141.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
136.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
128.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
100.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
32.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
25.0
U0074
0 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.
H2BC12 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 TPM
84.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
358.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
229.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
222.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
215.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
205.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
193.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
181.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
174.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
156.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
139.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
134.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
132.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
130.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
126.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
125.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
123.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
121.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
121.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
115.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
113.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
112.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
110.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
109.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
108.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
107.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
106.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
105.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
103.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
99.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
97.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
94.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
92.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
88.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
88.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
87.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
85.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
85.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
81.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
81.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
80.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
79.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
75.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
69.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
69.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
69.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
66.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
62.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
62.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
62.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
62.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
60.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
59.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
57.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
56.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
56.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
54.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
52.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
51.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
51.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
49.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
48.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
47.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
46.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
44.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
42.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
40.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
36.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
35.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
34.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
32.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
32.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
20.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
20.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
H2BC12 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 TPM
397.4
Number of samples
207
Samples
Sample
Description
TPM
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
999.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
952.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
834.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
779.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
756.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
736.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
727.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
720.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
715.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
714.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
707.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
707.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
689.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
684.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
678.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
669.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
658.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
646.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
642.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
636.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
636.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
629.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
624.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
617.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
612.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
612.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
608.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
608.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
606.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
606.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
600.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
582.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
579.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
574.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
569.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
564.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
563.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
561.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
560.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
558.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
556.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
549.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
545.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
544.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
541.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
540.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
539.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
535.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
523.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
522.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
519.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
519.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
508.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
504.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
500.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
493.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
491.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
484.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
480.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
476.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
475.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
475.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
471.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
465.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
457.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
453.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
451.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
451.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
447.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
446.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
445.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
445.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
445.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
441.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
440.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
439.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
437.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
437.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
433.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
433.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
433.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
432.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
427.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
426.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
422.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
419.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
416.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
414.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
410.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
409.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
406.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
406.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
403.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
398.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
397.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
397.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
397.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
396.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
395.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
394.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
393.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
393.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
393.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
391.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
380.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
380.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
380.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
378.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
378.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
377.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
377.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
373.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
369.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
369.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
362.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
353.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
352.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
348.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
344.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
343.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
338.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
337.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
334.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
330.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
330.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
328.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
324.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
322.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
319.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
318.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
318.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
317.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
317.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
315.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
311.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
310.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
308.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
299.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
294.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
293.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
292.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
292.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
291.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
291.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
289.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
286.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
282.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
282.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
281.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
277.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
277.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
275.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
273.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
267.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
255.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
252.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
250.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
250.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
249.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
248.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
247.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
247.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
246.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
239.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
238.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
237.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
237.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
230.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
229.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
229.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
228.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
226.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
217.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
217.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
210.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
210.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
208.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
208.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
206.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
206.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
203.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
202.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
200.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
196.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
194.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
188.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
186.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
186.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
182.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
182.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
179.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
178.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
169.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
160.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
160.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
159.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
154.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
154.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
153.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
146.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
144.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
140.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
140.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
136.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
115.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
92.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
51.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
