We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
LAMTOR5 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
140.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
256.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
243.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
241.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
237.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
232.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
224.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
221.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
214.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
212.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
210.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
208.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
206.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
204.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
203.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
202.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
196.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
196.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
195.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
192.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
192.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
190.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
189.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
189.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
186.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
185.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
184.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
181.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
181.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
179.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
178.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
176.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
176.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
176.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
176.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
175.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
174.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
173.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
173.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
173.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
173.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
171.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
171.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
171.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
171.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
170.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
170.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
170.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
168.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
168.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
168.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
167.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
167.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
166.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
166.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
166.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
165.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
164.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
163.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
163.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
161.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
161.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
160.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
160.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
159.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
159.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
159.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
158.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
158.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
158.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
158.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
157.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
156.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
156.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
155.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
155.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
154.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
154.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
154.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
154.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
153.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
153.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
153.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
152.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
151.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
151.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
150.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
150.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
150.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
150.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
149.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
149.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
148.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
148.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
148.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
148.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
148.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
147.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
147.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
145.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
145.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
145.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
144.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
144.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
144.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
143.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
143.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
143.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
143.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
143.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
143.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
142.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
142.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
142.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
141.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
141.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
141.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
141.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
139.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
139.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
138.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
137.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
137.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
137.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
137.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
137.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
137.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
136.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
136.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
136.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
136.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
136.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
136.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
135.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
134.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
134.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
134.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
133.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
133.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
133.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
133.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
133.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
133.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
133.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
132.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
132.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
131.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
131.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
131.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
131.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
130.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
130.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
129.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
129.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
129.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
129.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
129.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
128.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
127.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
127.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
127.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
127.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
127.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
127.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
127.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
126.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
126.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
125.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
125.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
125.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
125.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
124.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
124.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
123.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
123.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
123.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
123.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
122.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
122.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
122.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
122.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
122.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
122.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
121.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
121.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
121.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
121.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
121.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
120.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
120.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
119.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
119.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
119.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
118.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
118.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
117.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
116.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
116.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
115.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
115.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
114.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
113.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
113.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
113.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
112.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
112.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
111.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
111.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
111.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
111.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
110.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
110.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
109.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
108.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
108.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
108.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
107.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
106.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
105.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
103.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
103.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
102.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
99.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
98.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
95.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
95.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
95.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
95.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
94.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
94.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
94.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
92.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
92.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
92.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
91.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
91.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
90.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
88.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
88.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
87.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
86.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
84.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
84.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
81.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
79.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
77.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
77.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
74.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
74.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
73.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
72.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
66.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
64.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
LAMTOR5 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
79.4
Number of samples
486
Samples
Sample
Description
TPM
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
151.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
142.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
140.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
136.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
135.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
134.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
134.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
129.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
129.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
128.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
126.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
126.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
125.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
125.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
124.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
122.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
119.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
118.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
117.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
116.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
115.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
115.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
115.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
114.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
114.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
113.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
113.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
113.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
113.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
112.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
110.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
109.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
109.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
108.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
108.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
108.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
107.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
107.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
106.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
105.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
105.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
105.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
105.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
104.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
104.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
104.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
104.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
103.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
103.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
103.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
103.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
102.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
102.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
102.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
101.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
101.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
101.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
101.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
101.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
101.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
101.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
101.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
101.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
101.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
100.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
100.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
100.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
99.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
99.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
99.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
98.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
98.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
98.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
98.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
98.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
97.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
97.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
97.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
97.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
97.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
97.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
97.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
97.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
97.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
96.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
96.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
96.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
96.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
96.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
96.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
96.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
96.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
95.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
95.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
95.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
95.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
95.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
95.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
95.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
94.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
94.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
94.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
94.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
94.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
94.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
93.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
93.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
93.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
93.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
93.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
93.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
93.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
92.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
92.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
92.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
92.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
92.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
92.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
91.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
91.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
91.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
91.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
91.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
91.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
90.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
90.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
90.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
90.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
90.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
90.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
89.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
89.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
89.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
89.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
89.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
89.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
89.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
88.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
88.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
88.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
88.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
88.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
88.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
88.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
88.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
87.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
87.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
87.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
87.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
87.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
87.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
87.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
87.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
86.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
86.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
86.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
86.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
86.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
86.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
86.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
85.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
85.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
85.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
85.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
85.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
85.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
85.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
85.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
85.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
84.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
84.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
84.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
84.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
84.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
84.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
84.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
84.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
84.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
84.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
84.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
84.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
84.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
84.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
84.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
84.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
84.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
83.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
83.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
83.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
83.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
83.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
83.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
83.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
82.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
82.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
82.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
82.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
82.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
82.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
82.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
82.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
82.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
82.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
82.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
82.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
82.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
81.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
81.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
81.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
81.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
81.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
81.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
81.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
81.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
81.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
81.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
81.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
81.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
81.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
81.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
81.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
81.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
81.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
80.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
80.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
80.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
80.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
80.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
80.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
80.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
80.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
80.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
80.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
79.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
79.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
79.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
79.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
79.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
79.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
79.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
79.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
79.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
79.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
78.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
78.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
78.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
78.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
78.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
78.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
78.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
77.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
77.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
77.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
77.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
77.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
77.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
77.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
77.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
76.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
76.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
76.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
76.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
76.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
75.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
75.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
75.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
74.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
74.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
74.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
74.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
74.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
74.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
74.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
74.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
74.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
74.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
74.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
74.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
74.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
74.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
73.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
73.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
73.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
73.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
73.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
73.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
73.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
73.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
73.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
73.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
72.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
72.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
72.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
72.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
72.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
72.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
72.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
72.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
71.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
71.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
71.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
71.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
71.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
71.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
70.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
70.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
70.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
70.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
70.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
70.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
70.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
70.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
70.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
70.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
70.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
70.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
69.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
69.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
69.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
69.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
69.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
69.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
69.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
69.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
69.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
69.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
69.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
69.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
68.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
68.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
68.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
68.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
68.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
68.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
68.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
67.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
67.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
67.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
67.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
67.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
67.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
67.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
66.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
66.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
66.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
66.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
66.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
66.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
66.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
66.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
66.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
65.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
65.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
65.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
65.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
65.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
64.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
64.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
64.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
64.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
64.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
64.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
63.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
63.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
63.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
63.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
63.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
63.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
63.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
63.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
63.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
63.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
62.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
62.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
62.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
62.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
62.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
62.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
62.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
62.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
62.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
62.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
61.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
61.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
61.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
61.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
60.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
60.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
60.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
60.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
59.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
59.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
59.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
59.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
58.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
58.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
58.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
58.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
58.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
58.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
58.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
58.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
57.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
57.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
56.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
56.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
56.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
55.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
55.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
55.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
55.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
54.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
53.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
53.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
53.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
53.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
52.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
51.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
51.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
51.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
50.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
47.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
44.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
44.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
43.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
43.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
39.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
LAMTOR5 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
140.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
280.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
278.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
213.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
205.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
194.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
183.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
180.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
180.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
179.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
178.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
177.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
177.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
175.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
173.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
172.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
170.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
169.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
169.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
165.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
164.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
163.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
163.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
161.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
161.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
160.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
158.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
157.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
156.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
156.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
156.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
154.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
152.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
151.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
150.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
150.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
149.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
148.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
148.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
145.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
143.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
141.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
141.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
139.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
139.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
136.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
136.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
134.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
134.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
134.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
133.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
133.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
132.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
130.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
130.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
129.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
128.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
127.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
125.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
125.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
125.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
125.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
121.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
120.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
119.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
119.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
119.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
118.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
117.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
116.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
109.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
108.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
107.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
106.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
105.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
104.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
103.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
102.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
100.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
94.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
92.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
90.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
87.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
86.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
85.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
77.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
76.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
75.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 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.
LAMTOR5 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
73.2
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
148.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
122.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
116.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
113.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
112.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
109.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
108.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
108.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
106.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
104.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
104.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
102.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
102.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
101.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
101.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
100.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
100.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
99.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
98.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
97.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
97.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
95.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
93.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
93.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
91.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
91.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
90.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
90.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
89.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
89.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
89.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
88.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
88.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
87.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
87.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
87.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
87.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
86.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
86.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
85.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
85.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
85.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
85.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
84.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
84.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
84.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
83.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
83.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
82.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
82.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
82.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
81.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
81.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
81.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
81.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
81.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
80.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
79.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
79.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
79.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
79.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
79.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
79.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
79.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
78.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
78.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
78.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
78.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
78.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
78.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
78.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
77.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
77.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
76.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
76.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
75.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
75.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
75.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
75.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
75.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
75.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
75.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
74.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
74.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
74.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
74.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
74.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
74.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
74.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
73.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
73.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
73.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
73.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
73.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
73.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
72.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
72.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
72.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
72.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
72.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
72.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
72.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
72.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
71.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
71.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
71.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
71.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
71.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
71.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
70.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
70.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
70.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
70.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
70.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
68.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
68.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
68.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
68.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
68.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
67.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
67.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
67.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
67.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
67.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
67.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
67.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
66.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
66.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
66.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
66.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
66.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
66.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
66.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
65.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
65.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
65.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
65.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
64.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
64.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
64.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
64.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
63.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
63.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
63.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
63.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
63.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
63.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
63.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
63.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
63.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
62.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
62.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
62.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
61.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
61.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
61.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
60.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
60.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
59.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
59.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
59.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
59.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
59.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
59.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
59.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
59.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
59.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
58.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
58.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
58.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
56.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
53.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
53.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
53.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
53.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
53.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
52.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
50.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
49.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
44.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
41.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
33.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.3
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
