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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.
TMEM258 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
120.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
237.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
223.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
210.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
201.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
200.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
200.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
196.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
193.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
187.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
186.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
184.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
181.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
179.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
175.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
175.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
175.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
174.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
174.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
173.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
172.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
171.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
171.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
170.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
169.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
169.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
168.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
167.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
166.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
165.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
164.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
164.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
164.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
163.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
161.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
161.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
160.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
159.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
159.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
157.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
157.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
157.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
153.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
153.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
153.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
153.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
153.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
152.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
152.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
152.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
151.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
148.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
148.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
146.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
146.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
144.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
143.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
143.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
143.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
142.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
141.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
140.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
140.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
139.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
139.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
139.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
139.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
138.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
137.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
137.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
137.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
136.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
136.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
136.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
136.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
135.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
135.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
135.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
135.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
134.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
134.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
133.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
133.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
133.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
133.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
132.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
132.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
131.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
131.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
130.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
130.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
129.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
129.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
129.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
129.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
128.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
128.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
127.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
127.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
127.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
127.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
126.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
126.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
126.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
126.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
126.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
126.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
126.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
125.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
125.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
124.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
124.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
124.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
123.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
123.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
123.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
123.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
122.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
122.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
122.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
120.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
119.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
119.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
119.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
119.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
119.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
118.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
118.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
117.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
116.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
116.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
115.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
115.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
115.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
115.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
114.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
114.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
114.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
114.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
114.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
114.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
113.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
113.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
112.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
112.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
112.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
111.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
110.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
110.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
110.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
109.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
109.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
109.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
109.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
109.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
108.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
108.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
108.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
108.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
108.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
107.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
106.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
106.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
106.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
105.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
105.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
105.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
104.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
104.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
104.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
104.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
103.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
103.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
102.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
102.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
101.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
101.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
101.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
100.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
100.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
99.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
99.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
98.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
98.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
98.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
97.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
97.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
96.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
96.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
96.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
96.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
95.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
95.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
95.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
94.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
94.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
94.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
93.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
93.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
93.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
93.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
91.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
91.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
90.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
90.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
89.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
89.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
89.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
89.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
89.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
87.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
86.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
85.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
85.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
84.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
83.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
83.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
83.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
82.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
82.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
81.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
80.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
80.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
77.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
77.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
77.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
77.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
77.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
76.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
76.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
75.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
75.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
74.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
73.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
73.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
72.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
72.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
72.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
69.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
69.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
69.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
67.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
65.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
63.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
62.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
60.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
60.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
59.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
56.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
43.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 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.
TMEM258 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
67.3
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
136.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
135.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
124.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
123.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
117.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
116.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
114.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
114.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
113.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
113.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
106.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
105.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
104.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
104.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
103.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
102.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
101.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
101.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
100.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
100.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
99.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
99.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
99.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
98.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
98.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
97.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
97.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
96.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
96.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
96.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
95.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
95.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
95.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
95.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
95.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
94.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
94.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
93.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
93.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
92.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
92.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
92.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
92.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
91.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
91.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
90.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
90.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
89.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
89.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
89.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
89.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
89.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
89.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
88.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
88.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
88.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
88.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
88.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
87.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
87.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
87.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
87.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
87.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
87.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
86.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
86.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
86.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
86.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
85.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
85.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
85.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
85.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
85.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
85.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
85.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
85.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
84.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
84.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
84.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
84.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
84.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
83.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
83.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
83.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
83.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
83.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
83.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
82.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
82.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
82.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
82.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
82.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
82.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
82.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
81.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
81.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
81.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
81.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
81.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
81.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
81.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
81.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
81.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
81.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
81.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
81.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
80.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
80.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
80.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
80.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
80.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
79.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
79.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
79.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
79.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
78.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
78.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
78.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
78.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
78.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
78.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
78.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
78.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
78.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
77.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
77.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
77.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
77.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
77.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
77.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
77.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
76.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
76.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
76.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
76.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
76.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
76.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
76.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
76.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
76.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
76.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
75.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
75.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
75.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
75.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
75.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
75.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
75.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
75.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
75.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
75.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
75.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
75.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
74.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
74.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
74.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
74.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
74.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
74.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
74.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
74.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
73.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
73.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
73.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
73.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
73.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
73.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
73.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
73.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
73.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
73.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
73.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
73.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
72.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
72.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
72.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
72.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
71.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
71.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
71.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
71.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
71.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
71.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
70.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
70.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
70.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
70.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
70.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
70.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
70.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
69.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
69.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
69.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
69.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
69.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
69.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
69.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
69.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
69.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
69.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
69.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
69.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
69.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
68.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
68.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
68.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
68.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
68.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
67.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
67.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
67.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
67.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
67.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
67.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
66.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
66.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
66.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
66.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
66.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
66.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
66.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
66.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
66.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
66.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
66.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
65.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
65.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
65.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
65.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
65.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
65.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
65.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
65.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
65.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
65.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
65.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
64.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
64.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
64.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
64.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
64.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
64.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
63.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
63.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
63.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
63.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
63.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
63.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
63.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
63.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
63.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
62.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
62.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
62.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
62.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
62.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
62.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
62.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
62.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
61.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
61.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
61.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
61.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
61.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
61.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
61.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
61.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
61.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
60.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
60.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
60.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
60.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
60.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
60.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
60.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
60.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
60.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
60.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
60.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
59.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
59.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
59.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
59.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
59.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
59.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
59.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
59.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
59.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
59.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
59.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
59.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
58.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
58.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
57.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
57.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
57.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
57.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
56.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
56.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
56.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
56.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
56.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
55.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
55.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
55.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
55.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
54.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
54.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
54.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
54.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
54.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
54.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
54.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
54.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
54.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
54.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
54.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
53.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
53.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
53.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
53.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
52.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
52.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
52.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
52.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
51.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
51.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
51.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
50.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
50.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
50.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
50.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
50.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
50.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
50.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
48.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
48.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
48.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
47.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
47.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
46.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
46.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
46.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
45.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
45.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
44.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
44.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
44.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
44.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
39.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
37.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
37.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
34.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
32.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
31.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
30.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
20.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMEM258 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
112.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
257.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
224.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
201.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
198.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
192.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
187.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
176.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
173.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
161.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
151.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
145.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
140.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
139.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
139.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
138.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
137.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
136.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
135.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
135.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
130.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
129.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
129.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
128.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
127.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
126.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
126.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
125.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
124.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
124.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
124.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
124.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
121.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
121.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
120.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
118.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
116.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
114.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
113.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
112.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
112.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
112.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
110.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
108.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
106.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
105.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
105.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
103.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
102.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
101.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
101.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
99.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
98.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
97.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
97.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
95.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
94.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
93.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
93.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
92.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
91.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
89.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
88.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
88.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
88.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
87.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
84.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
84.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
82.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
81.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
81.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
79.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
78.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
78.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
77.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
76.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
73.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
72.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
72.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
72.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
71.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
70.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
70.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
69.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
65.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
61.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
55.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
52.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 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.
TMEM258 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
54.9
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
112.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
107.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
104.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
101.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
96.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
94.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
93.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
90.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
88.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
87.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
86.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
85.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
85.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
82.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
82.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
81.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
81.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
80.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
79.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
79.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
78.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
76.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
76.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
76.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
75.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
74.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
74.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
74.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
74.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
73.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
72.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
72.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
72.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
69.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
69.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
69.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
69.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
67.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
67.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
66.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
66.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
66.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
66.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
65.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
65.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
64.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
64.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
63.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
63.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
62.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
62.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
61.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
61.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
61.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
61.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
60.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
60.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
59.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
59.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
59.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
59.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
59.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
58.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
58.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
57.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
57.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
57.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
57.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
56.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
55.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
54.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
54.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
54.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
54.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
53.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
53.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
52.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
52.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
52.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
52.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
52.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
52.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
52.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
52.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
51.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
51.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
51.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
50.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
50.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
50.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
49.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
49.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
48.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
48.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
47.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
47.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
47.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
47.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
46.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
45.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
45.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
45.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
43.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
42.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
42.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
42.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
41.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
41.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
38.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
36.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
35.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
34.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
32.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
29.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
22.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
