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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TM4SF1 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
121.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
851.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
560.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
434.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
401.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
363.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
362.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
362.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
326.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
314.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
308.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
281.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
256.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
253.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
253.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
240.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
239.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
235.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
234.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
234.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
233.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
227.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
219.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
218.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
215.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
214.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
214.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
213.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
208.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
208.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
207.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
207.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
206.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
204.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
202.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
200.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
200.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
197.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
195.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
189.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
188.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
187.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
186.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
186.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
185.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
181.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
177.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
175.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
175.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
175.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
174.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
174.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
172.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
172.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
171.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
170.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
168.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
161.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
160.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
157.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
156.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
154.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
153.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
152.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
151.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
150.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
148.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
146.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
145.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
145.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
144.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
144.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
142.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
141.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
140.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
139.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
137.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
136.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
135.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
134.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
134.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
134.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
134.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
131.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
131.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
129.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
128.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
127.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
127.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
127.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
126.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
126.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
126.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
126.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
121.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
121.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
120.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
120.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
120.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
119.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
119.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
118.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
116.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
116.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
115.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
114.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
114.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
112.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
111.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
111.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
111.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
110.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
110.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
109.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
109.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
107.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
107.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
107.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
107.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
106.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
105.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
104.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
103.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
103.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
102.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
101.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
99.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
99.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
98.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
98.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
97.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
97.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
97.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
96.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
95.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
93.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
93.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
93.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
92.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
92.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
92.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
91.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
91.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
91.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
91.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
91.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
90.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
90.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
88.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
86.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
86.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
84.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
84.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
83.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
83.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
82.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
82.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
81.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
80.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
80.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
80.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
79.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
79.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
79.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
79.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
79.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
79.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
77.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
77.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
77.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
77.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
76.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
76.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
75.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
75.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
75.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
75.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
74.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
74.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
74.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
73.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
73.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
73.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
72.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
71.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
70.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
69.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
69.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
69.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
67.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
65.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
64.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
63.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
63.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
62.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
62.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
61.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
60.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
60.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
60.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
60.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
60.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
59.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
57.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
57.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
57.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
56.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
56.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
54.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
54.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
54.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
53.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
52.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
50.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
50.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
49.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
47.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
47.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
46.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
45.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
44.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
43.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
43.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
42.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
42.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
41.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
41.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
39.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
38.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
37.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
36.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
33.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
33.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
33.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
31.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
31.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
29.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
29.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
23.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
22.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
21.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
11.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
TM4SF1 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
71.4
Number of samples
486
Samples
Sample
Description
TPM
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
423.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
401.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
376.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
374.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
364.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
327.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
294.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
290.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
261.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
252.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
239.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
237.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
228.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
227.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
211.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
206.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
193.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
189.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
186.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
183.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
173.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
170.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
167.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
164.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
163.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
162.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
153.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
147.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
146.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
145.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
142.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
140.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
140.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
140.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
139.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
138.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
138.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
136.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
136.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
136.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
133.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
131.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
130.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
130.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
130.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
129.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
128.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
126.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
126.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
122.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
121.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
121.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
121.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
121.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
120.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
119.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
119.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
119.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
117.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
116.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
116.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
115.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
115.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
113.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
111.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
111.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
111.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
109.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
108.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
107.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
107.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
107.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
106.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
106.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
105.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
104.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
104.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
104.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
103.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
103.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
102.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
102.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
101.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
100.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
100.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
99.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
99.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
99.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
98.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
97.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
97.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
96.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
95.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
95.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
95.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
94.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
94.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
93.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
93.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
93.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
91.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
91.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
91.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
91.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
91.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
91.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
90.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
90.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
88.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
87.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
87.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
87.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
86.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
86.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
85.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
85.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
85.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
85.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
84.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
84.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
84.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
84.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
84.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
84.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
83.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
83.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
83.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
83.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
83.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
83.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
82.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
82.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
82.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
82.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
80.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
80.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
80.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
80.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
79.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
78.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
78.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
78.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
78.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
77.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
77.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
77.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
77.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
76.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
75.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
75.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
75.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
75.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
75.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
75.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
74.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
74.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
74.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
74.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
74.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
74.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
74.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
73.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
73.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
73.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
73.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
73.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
72.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
72.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
72.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
71.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
70.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
70.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
70.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
70.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
69.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
69.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
69.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
69.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
69.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
68.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
68.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
68.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
67.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
67.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
67.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
67.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
66.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
66.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
66.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
66.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
65.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
65.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
64.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
64.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
64.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
64.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
63.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
63.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
63.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
63.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
63.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
63.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
62.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
62.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
62.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
62.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
61.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
61.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
61.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
61.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
60.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
60.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
60.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
59.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
59.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
58.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
58.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
58.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
58.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
58.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
57.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
57.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
57.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
57.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
57.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
57.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
56.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
56.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
56.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
56.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
55.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
55.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
55.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
54.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
54.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
53.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
52.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
52.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
51.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
51.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
51.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
51.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
50.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
50.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
50.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
50.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
50.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
49.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
49.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
48.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
48.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
47.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
46.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
45.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
45.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
45.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
44.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
44.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
44.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
44.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
43.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
43.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
42.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
41.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
41.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
41.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
41.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
40.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
39.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
38.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
38.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
38.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
37.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
37.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
37.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
36.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
35.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
35.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
34.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
34.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
33.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
33.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
33.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
32.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
32.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
32.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
32.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
31.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
31.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
30.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
30.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
30.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
30.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
30.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
30.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
30.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
29.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
28.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
28.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
28.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
28.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
27.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
27.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
26.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
26.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
26.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
26.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
26.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
26.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
25.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
25.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
25.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
24.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
24.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
24.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
24.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
24.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
24.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
23.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
22.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
22.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
21.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
21.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
21.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
21.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
21.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
21.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
21.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
20.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
20.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
18.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
18.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
18.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
17.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
17.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
16.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
15.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
15.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
15.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
14.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
13.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
13.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
12.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TM4SF1 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
114.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
518.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
397.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
365.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
319.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
224.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
219.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
219.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
214.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
191.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
186.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
179.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
174.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
172.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
167.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
164.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
160.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
157.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
155.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
149.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
149.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
148.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
146.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
141.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
132.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
122.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
120.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
118.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
118.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
116.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
115.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
113.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
112.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
109.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
108.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
108.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
108.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
107.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
104.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
99.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
97.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
97.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
96.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
92.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
90.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
90.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
87.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
85.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
85.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
84.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
84.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
81.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
81.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
80.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
79.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
79.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
79.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
79.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
78.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
78.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
76.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
74.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
74.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
73.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
73.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
72.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
72.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
71.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
69.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
69.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
67.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
65.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
64.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
59.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
59.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
58.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
55.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
50.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
49.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
44.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
44.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
44.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
42.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
40.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
30.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 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.
TM4SF1 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
61.6
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
643.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
198.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
193.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
161.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
159.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
154.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
133.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
129.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
123.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
122.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
121.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
121.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
114.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
114.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
109.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
106.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
105.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
105.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
97.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
97.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
95.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
95.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
95.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
94.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
94.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
93.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
92.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
92.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
91.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
91.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
88.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
88.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
88.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
86.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
84.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
84.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
83.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
83.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
81.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
80.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
80.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
79.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
78.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
77.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
77.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
75.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
75.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
75.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
74.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
74.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
73.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
71.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
71.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
70.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
70.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
69.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
69.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
68.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
68.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
68.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
67.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
67.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
66.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
66.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
65.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
65.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
65.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
65.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
65.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
64.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
63.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
63.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
62.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
62.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
62.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
62.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
62.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
62.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
61.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
60.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
60.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
58.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
57.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
57.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
54.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
54.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
53.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
53.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
53.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
53.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
52.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
51.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
51.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
50.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
50.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
49.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
49.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
48.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
48.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
46.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
46.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
45.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
43.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
42.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
41.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
40.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
40.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
39.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
38.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
35.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
35.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
33.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
33.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
32.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
30.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
29.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
27.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
27.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
26.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
26.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
25.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
25.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
25.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
25.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
22.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
19.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
17.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
16.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
16.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
15.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
12.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
