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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.
SLC26A3 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
63.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
978.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
818.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
722.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
710.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
514.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
459.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
424.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
397.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
329.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
318.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
311.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
283.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
271.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
249.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
242.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
232.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
231.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
230.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
229.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
225.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
196.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
193.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
189.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
173.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
169.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
160.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
157.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
156.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
155.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
154.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
152.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
149.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
149.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
143.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
142.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
138.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
131.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
127.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
126.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
124.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
116.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
110.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
108.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
107.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
104.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
102.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
102.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
102.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
101.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
100.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
99.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
98.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
97.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
95.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
92.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
92.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
92.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
91.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
87.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
87.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
84.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
81.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
80.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
75.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
75.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
75.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
73.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
70.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
69.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
66.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
65.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
64.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
63.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
56.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
51.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
48.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
48.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
47.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
45.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
44.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
42.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
42.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
39.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
39.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
34.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
33.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
33.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
31.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
27.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
27.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
26.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
26.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
25.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
21.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
21.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
21.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
20.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
20.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
19.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
19.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
18.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
17.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
16.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
15.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
14.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
14.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
13.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
13.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
13.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
13.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
12.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
11.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
9.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
9.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
8.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
8.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
8.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
7.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
6.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
5.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
5.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
5.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
5.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
4.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
4.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
4.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
3.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
3.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
0.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
0.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
0.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
0.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
0.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
0.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
0.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
0.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
0.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
0.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
0.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
0.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
0.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
0.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
0.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
0.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
0.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
0.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
0.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
0.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
0.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
0.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
0.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 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.
SLC26A3 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
103.9
Number of samples
486
Samples
Sample
Description
TPM
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1466.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1169.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
878.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
857.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
723.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
700.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
699.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
648.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
640.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
558.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
510.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
505.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
490.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
463.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
454.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
428.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
428.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
425.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
423.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
419.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
414.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
413.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
406.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
401.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
400.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
394.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
386.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
376.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
374.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
367.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
358.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
356.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
350.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
349.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
344.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
338.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
337.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
330.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
324.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
319.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
317.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
300.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
298.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
293.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
287.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
285.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
278.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
274.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
264.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
258.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
258.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
256.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
247.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
246.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
245.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
240.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
240.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
238.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
238.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
236.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
236.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
235.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
232.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
231.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
227.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
219.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
219.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
217.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
210.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
208.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
206.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
206.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
202.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
200.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
200.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
197.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
193.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
193.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
192.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
189.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
183.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
182.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
181.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
181.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
177.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
171.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
171.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
170.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
170.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
162.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
162.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
161.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
159.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
158.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
157.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
157.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
157.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
156.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
153.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
153.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
152.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
150.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
150.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
147.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
145.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
145.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
142.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
141.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
139.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
138.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
137.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
137.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
137.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
137.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
137.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
136.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
136.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
134.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
133.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
131.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
131.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
131.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
130.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
130.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
129.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
129.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
129.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
128.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
127.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
127.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
125.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
121.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
120.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
120.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
119.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
117.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
117.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
116.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
116.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
115.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
115.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
113.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
113.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
113.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
112.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
111.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
111.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
110.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
107.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
106.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
104.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
104.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
103.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
102.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
102.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
102.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
102.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
101.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
101.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
99.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
99.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
99.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
99.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
99.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
99.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
98.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
98.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
97.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
97.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
97.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
96.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
94.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
94.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
92.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
92.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
92.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
91.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
91.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
89.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
88.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
87.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
86.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
86.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
86.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
85.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
85.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
85.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
85.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
84.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
82.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
80.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
79.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
78.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
75.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
74.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
73.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
73.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
73.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
73.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
72.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
71.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
71.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
70.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
70.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
69.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
68.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
68.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
67.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
67.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
67.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
66.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
64.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
62.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
61.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
61.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
61.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
60.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
60.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
60.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
59.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
58.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
57.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
56.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
56.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
55.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
54.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
53.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
50.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
50.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
48.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
47.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
45.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
45.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
44.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
44.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
43.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
42.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
42.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
40.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
38.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
38.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
38.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
38.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
36.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
35.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
34.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
33.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
32.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
31.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
30.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
29.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
29.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
28.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
28.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
28.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
27.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
26.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
26.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
26.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
26.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
26.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
26.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
25.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
24.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
23.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
23.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
23.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
23.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
22.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
22.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
22.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
21.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
21.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
21.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
21.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
20.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
20.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
20.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
20.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
20.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
19.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
18.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
18.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
17.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
17.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
17.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
17.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
17.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
17.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
16.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
16.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
16.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
16.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
15.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
14.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
14.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
14.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
12.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
12.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
12.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
11.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
11.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
11.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
10.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
10.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
10.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
10.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
10.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
9.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
9.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
9.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
8.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
8.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
8.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
8.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
7.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
7.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
7.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
7.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
7.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
6.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
6.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
6.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
6.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
6.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
6.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
6.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
5.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
5.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
5.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
5.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
4.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
4.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
4.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
4.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
3.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
3.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
3.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
3.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
3.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
3.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
3.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
2.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
2.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
2.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
2.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
2.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
2.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
2.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
2.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
2.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
2.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
2.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
2.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
2.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
2.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
2.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
1.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
1.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
0.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
0.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
0.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
0.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
0.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
0.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
0.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
0.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
0.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
0.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
0.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
0.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
0.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
0.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
0.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
0.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
0.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
0.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
0.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
0.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
0.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
0.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
0.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
0.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
0.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
0.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
0.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
0.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
0.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
0.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
0.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
0.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
0.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
0.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
0.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
0.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
0.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
0.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
0.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
0.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
0.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
0.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 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.
SLC26A3 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
79.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
865.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
618.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
382.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
358.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
301.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
289.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
247.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
244.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
193.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
187.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
177.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
135.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
129.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
128.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
125.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
124.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
124.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
123.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
113.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
107.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
106.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
97.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
93.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
91.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
90.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
85.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
79.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
75.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
73.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
71.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
70.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
67.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
56.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
55.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
44.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
41.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
40.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
37.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
36.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
35.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
30.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
25.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
24.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
23.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
21.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
20.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
19.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
17.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
16.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
13.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
9.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
8.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
7.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
6.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
5.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
3.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
3.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
0.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
0.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
SLC26A3 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
101.1
Number of samples
207
Samples
Sample
Description
TPM
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
635.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
581.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
559.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
465.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
442.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
352.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
351.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
335.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
324.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
322.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
314.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
267.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
267.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
265.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
263.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
257.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
252.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
252.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
250.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
245.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
244.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
242.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
240.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
239.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
238.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
227.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
227.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
222.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
209.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
209.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
208.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
208.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
198.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
198.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
196.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
194.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
192.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
190.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
188.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
178.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
175.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
173.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
167.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
165.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
161.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
156.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
154.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
151.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
149.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
148.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
146.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
136.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
136.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
136.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
136.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
135.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
133.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
133.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
129.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
126.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
126.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
125.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
122.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
121.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
121.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
119.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
118.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
115.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
113.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
108.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
107.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
106.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
105.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
104.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
100.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
99.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
99.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
98.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
95.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
95.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
95.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
91.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
91.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
90.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
89.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
86.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
85.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
85.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
84.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
80.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
77.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
76.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
75.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
74.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
73.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
72.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
71.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
71.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
71.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
70.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
69.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
69.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
69.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
68.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
67.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
66.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
64.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
64.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
61.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
61.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
61.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
60.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
60.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
59.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
55.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
53.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
51.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
51.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
48.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
44.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
42.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
39.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
36.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
35.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
32.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
28.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
27.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
27.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
25.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
25.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
25.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
24.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
24.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
21.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
19.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
18.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
18.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
18.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
18.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
16.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
16.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
15.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
15.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
14.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
13.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
12.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
11.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
11.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
11.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
10.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
10.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
10.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
9.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
9.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
9.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
9.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
9.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
8.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
8.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
7.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
7.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
6.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
6.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
6.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
6.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
6.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
6.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
5.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
5.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
4.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
3.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
3.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
2.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
2.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
0.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
0.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
0.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
0.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
0.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
2.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
1.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
1.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
1.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
1.5
963fc8db-f412-4427-a198-23f660_D2
Normal
1.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
1.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
1.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
1.3
41a04113-2061-4923-bca5-da586c_D2
Normal
1.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
1.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
1.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
1.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
1.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
1.1
82157a70-12f1-4913-b548-d98881_D2
Normal
1.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
1.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
1.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
1.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
1.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
1.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
1.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.9
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.9
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.9
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.8
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.8
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.8
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.9
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.9
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.9
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-1.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-1.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-1.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-1.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-1.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-1.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-2.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-2.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-2.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-2.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-2.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-2.1
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
