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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.
TMEM123 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
150.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
751.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
504.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
405.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
367.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
320.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
307.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
282.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
281.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
276.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
275.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
267.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
264.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
251.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
251.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
250.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
248.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
246.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
246.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
241.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
237.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
237.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
236.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
236.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
233.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
228.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
224.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
224.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
215.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
214.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
213.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
212.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
207.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
207.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
205.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
205.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
205.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
203.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
202.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
201.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
197.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
196.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
196.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
192.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
191.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
191.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
189.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
188.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
186.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
185.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
184.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
184.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
183.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
183.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
183.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
179.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
179.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
179.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
179.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
177.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
177.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
176.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
175.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
175.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
172.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
172.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
171.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
171.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
170.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
170.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
170.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
170.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
169.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
169.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
168.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
166.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
166.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
166.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
165.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
163.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
162.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
161.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
161.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
161.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
161.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
159.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
158.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
158.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
157.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
157.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
157.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
156.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
156.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
153.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
153.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
152.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
151.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
151.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
150.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
150.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
150.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
149.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
149.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
149.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
148.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
148.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
148.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
147.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
147.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
146.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
146.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
146.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
144.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
144.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
143.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
141.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
140.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
140.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
139.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
138.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
138.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
138.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
138.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
136.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
136.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
136.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
135.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
135.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
135.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
134.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
134.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
134.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
134.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
133.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
133.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
131.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
131.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
131.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
131.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
131.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
130.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
130.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
129.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
129.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
129.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
129.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
127.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
127.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
127.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
127.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
127.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
127.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
126.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
126.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
126.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
125.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
125.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
124.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
124.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
124.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
124.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
124.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
123.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
122.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
122.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
122.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
122.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
119.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
119.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
118.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
118.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
118.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
118.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
117.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
117.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
117.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
116.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
116.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
116.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
115.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
115.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
114.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
114.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
113.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
111.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
111.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
111.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
110.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
110.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
110.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
110.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
109.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
109.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
109.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
108.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
107.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
107.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
106.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
106.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
106.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
106.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
104.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
104.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
104.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
103.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
102.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
102.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
101.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
101.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
99.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
99.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
98.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
98.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
98.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
98.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
98.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
96.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
96.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
96.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
95.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
95.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
94.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
94.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
93.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
93.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
93.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
92.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
92.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
91.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
89.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
89.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
88.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
87.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
87.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
86.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
83.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
81.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
80.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
80.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
79.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
78.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
78.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
77.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
77.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
74.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
73.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
71.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
71.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
67.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
62.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
61.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
58.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
56.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
47.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 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.
TMEM123 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
322.1
Number of samples
486
Samples
Sample
Description
TPM
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
801.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
698.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
686.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
673.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
623.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
616.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
613.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
596.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
579.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
573.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
541.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
535.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
534.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
533.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
530.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
525.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
522.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
520.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
517.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
508.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
500.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
493.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
488.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
486.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
486.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
482.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
480.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
478.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
478.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
476.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
475.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
472.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
472.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
470.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
467.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
462.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
461.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
460.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
460.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
458.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
458.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
457.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
456.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
455.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
451.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
450.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
447.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
446.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
444.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
444.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
444.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
443.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
442.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
439.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
436.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
433.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
431.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
430.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
428.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
427.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
424.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
424.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
423.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
423.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
418.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
418.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
417.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
412.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
410.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
409.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
406.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
406.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
403.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
403.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
402.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
400.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
400.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
398.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
398.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
398.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
397.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
393.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
392.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
391.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
391.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
389.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
389.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
387.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
386.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
385.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
385.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
385.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
384.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
384.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
384.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
383.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
382.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
382.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
381.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
379.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
379.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
379.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
378.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
377.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
377.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
377.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
376.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
376.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
376.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
375.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
375.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
374.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
374.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
373.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
372.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
372.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
370.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
369.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
369.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
368.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
367.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
367.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
367.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
367.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
366.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
366.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
366.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
365.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
365.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
364.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
364.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
363.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
363.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
363.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
362.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
362.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
362.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
361.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
361.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
361.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
361.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
360.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
360.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
359.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
358.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
356.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
356.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
356.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
356.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
354.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
353.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
352.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
352.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
352.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
350.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
349.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
349.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
348.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
348.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
347.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
347.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
347.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
347.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
346.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
346.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
346.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
345.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
344.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
344.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
344.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
344.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
343.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
343.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
343.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
342.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
341.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
341.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
341.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
340.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
340.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
339.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
338.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
337.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
336.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
336.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
335.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
335.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
335.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
335.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
334.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
334.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
334.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
332.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
331.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
331.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
331.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
331.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
330.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
330.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
329.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
328.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
327.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
327.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
327.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
327.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
326.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
326.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
326.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
325.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
325.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
324.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
324.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
324.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
324.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
323.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
323.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
323.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
322.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
322.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
321.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
321.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
320.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
320.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
320.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
320.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
319.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
319.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
318.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
318.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
317.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
317.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
317.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
316.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
315.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
315.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
315.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
315.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
314.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
314.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
313.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
313.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
313.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
313.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
313.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
313.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
312.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
312.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
310.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
309.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
309.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
309.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
309.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
309.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
308.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
308.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
308.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
308.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
307.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
307.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
306.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
306.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
306.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
303.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
303.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
302.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
302.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
302.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
302.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
302.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
301.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
301.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
301.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
300.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
300.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
300.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
299.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
299.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
299.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
299.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
299.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
299.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
298.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
298.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
298.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
297.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
297.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
297.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
296.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
296.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
295.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
295.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
295.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
294.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
294.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
293.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
293.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
292.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
292.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
292.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
292.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
291.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
291.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
290.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
290.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
290.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
288.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
288.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
288.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
287.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
287.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
286.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
286.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
286.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
284.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
284.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
284.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
284.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
283.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
283.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
283.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
283.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
282.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
281.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
279.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
279.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
278.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
277.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
277.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
276.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
276.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
276.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
275.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
275.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
275.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
275.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
274.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
274.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
274.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
273.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
273.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
272.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
272.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
271.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
270.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
270.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
269.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
268.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
268.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
268.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
268.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
267.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
267.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
267.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
266.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
266.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
266.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
266.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
265.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
265.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
265.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
265.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
264.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
264.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
263.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
262.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
260.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
258.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
257.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
257.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
257.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
256.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
255.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
255.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
255.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
255.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
255.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
254.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
253.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
253.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
252.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
251.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
251.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
250.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
250.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
249.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
249.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
249.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
247.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
247.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
247.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
246.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
245.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
245.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
245.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
245.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
245.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
244.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
242.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
242.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
241.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
241.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
240.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
240.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
239.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
239.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
239.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
239.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
237.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
237.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
236.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
236.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
236.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
236.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
234.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
234.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
233.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
231.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
231.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
230.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
230.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
228.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
228.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
228.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
228.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
227.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
227.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
226.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
224.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
223.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
223.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
222.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
222.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
220.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
219.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
217.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
217.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
216.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
216.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
215.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
214.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
214.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
213.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
212.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
211.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
211.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
210.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
209.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
209.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
209.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
208.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
206.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
205.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
203.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
202.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
201.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
199.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
198.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
197.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
196.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
195.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
194.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
192.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
188.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
186.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
186.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
183.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
178.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
178.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
177.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
177.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
175.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
172.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
171.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
171.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
169.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
165.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
165.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
159.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
157.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
152.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
147.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
145.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
117.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
109.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
12.8
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.
TMEM123 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
157.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
402.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
356.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
343.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
278.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
276.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
257.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
256.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
252.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
249.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
228.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
224.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
219.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
219.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
217.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
214.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
213.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
211.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
209.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
208.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
203.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
201.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
196.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
191.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
189.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
189.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
184.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
181.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
172.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
169.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
169.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
166.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
166.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
163.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
163.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
161.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
161.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
160.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
158.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
156.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
156.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
155.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
154.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
153.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
152.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
151.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
150.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
142.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
140.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
139.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
138.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
137.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
134.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
134.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
132.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
131.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
131.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
127.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
126.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
126.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
125.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
124.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
122.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
122.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
122.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
117.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
114.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
113.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
111.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
108.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
107.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
106.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
106.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
106.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
102.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
98.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
97.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
95.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
86.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
84.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
82.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
79.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
77.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
75.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
71.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
55.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
37.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMEM123 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
303.6
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
582.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
561.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
549.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
542.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
527.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
524.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
502.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
496.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
492.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
491.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
473.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
471.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
461.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
461.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
454.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
452.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
447.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
439.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
439.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
427.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
423.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
414.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
414.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
408.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
406.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
404.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
402.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
399.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
396.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
393.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
392.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
391.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
388.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
383.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
382.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
381.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
381.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
375.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
374.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
374.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
373.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
373.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
372.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
372.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
369.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
369.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
367.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
363.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
363.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
361.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
360.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
359.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
356.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
355.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
351.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
351.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
350.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
347.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
344.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
344.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
342.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
339.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
338.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
336.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
335.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
335.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
331.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
328.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
328.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
328.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
327.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
324.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
323.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
321.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
319.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
316.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
316.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
314.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
314.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
314.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
314.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
314.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
313.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
311.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
308.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
307.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
307.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
306.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
306.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
304.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
303.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
301.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
300.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
300.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
299.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
297.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
296.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
296.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
295.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
294.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
294.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
294.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
293.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
292.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
292.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
291.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
289.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
288.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
286.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
286.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
286.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
284.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
284.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
282.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
282.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
280.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
280.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
279.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
278.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
277.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
276.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
275.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
274.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
274.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
273.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
273.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
272.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
272.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
271.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
271.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
270.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
269.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
269.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
269.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
267.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
265.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
265.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
265.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
264.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
264.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
262.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
262.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
260.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
259.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
258.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
258.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
256.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
256.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
255.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
252.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
252.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
251.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
251.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
250.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
249.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
247.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
247.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
245.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
244.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
244.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
241.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
241.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
239.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
239.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
238.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
238.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
238.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
236.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
233.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
232.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
229.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
229.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
227.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
226.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
224.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
223.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
221.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
221.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
220.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
220.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
220.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
220.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
216.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
216.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
215.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
207.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
207.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
197.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
189.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
185.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
184.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
180.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
177.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
174.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
164.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
161.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
160.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
158.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
153.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
144.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
143.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
140.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
133.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
132.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
109.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
90.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
2.2
41a04113-2061-4923-bca5-da586c_D2
Normal
1.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
1.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
1.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.9
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.9
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.8
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.9
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-1.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
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
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_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
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_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
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
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
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
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
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_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
46dfc1e4-0110-4d9f-888e-6a29ab_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.