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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.
SUB1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
150.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
370.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
315.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
309.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
302.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
300.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
283.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
274.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
272.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
253.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
252.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
241.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
239.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
238.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
229.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
228.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
228.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
226.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
226.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
224.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
222.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
217.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
216.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
216.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
216.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
216.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
215.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
214.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
213.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
209.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
209.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
208.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
205.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
205.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
204.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
204.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
203.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
200.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
198.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
198.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
198.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
198.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
194.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
194.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
193.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
192.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
190.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
190.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
189.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
188.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
187.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
187.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
187.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
187.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
186.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
183.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
182.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
181.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
180.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
180.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
180.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
179.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
178.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
178.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
176.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
176.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
175.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
174.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
174.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
171.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
171.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
170.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
169.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
169.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
169.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
168.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
167.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
167.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
165.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
164.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
164.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
164.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
163.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
163.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
162.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
161.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
161.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
161.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
160.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
160.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
159.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
159.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
159.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
158.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
156.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
156.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
154.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
154.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
152.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
152.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
151.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
151.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
151.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
151.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
150.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
149.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
149.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
148.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
147.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
147.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
147.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
147.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
146.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
146.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
144.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
144.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
144.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
143.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
143.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
143.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
143.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
142.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
142.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
141.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
140.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
140.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
140.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
139.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
139.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
139.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
138.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
138.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
138.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
138.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
137.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
137.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
137.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
137.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
137.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
137.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
137.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
136.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
136.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
135.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
135.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
134.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
134.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
134.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
133.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
132.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
132.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
131.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
131.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
130.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
130.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
129.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
129.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
128.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
128.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
128.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
127.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
126.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
126.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
125.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
125.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
125.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
125.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
125.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
125.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
123.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
123.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
123.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
123.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
123.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
123.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
123.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
122.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
121.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
121.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
120.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
120.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
119.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
118.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
117.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
116.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
116.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
116.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
116.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
116.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
116.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
116.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
115.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
115.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
115.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
115.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
114.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
114.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
114.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
113.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
113.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
113.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
112.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
112.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
111.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
111.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
111.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
110.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
110.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
109.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
109.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
108.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
107.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
106.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
106.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
105.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
104.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
104.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
104.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
103.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
101.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
100.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
100.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
100.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
100.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
99.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
99.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
98.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
98.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
98.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
97.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
97.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
97.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
97.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
96.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
96.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
96.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
96.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
95.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
95.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
95.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
93.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
92.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
92.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
92.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
91.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
91.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
90.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
89.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
85.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
83.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
81.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
81.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
79.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
73.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 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.
SUB1 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
121.5
Number of samples
486
Samples
Sample
Description
TPM
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
309.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
268.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
257.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
253.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
249.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
237.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
233.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
217.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
214.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
213.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
213.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
211.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
210.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
208.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
204.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
203.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
201.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
201.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
201.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
201.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
198.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
197.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
190.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
188.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
187.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
187.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
187.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
186.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
185.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
184.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
184.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
183.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
182.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
181.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
181.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
180.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
180.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
180.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
179.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
179.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
177.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
175.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
175.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
173.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
172.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
172.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
171.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
171.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
171.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
171.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
170.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
170.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
170.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
170.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
170.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
168.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
168.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
167.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
167.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
167.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
166.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
166.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
166.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
166.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
165.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
165.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
164.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
163.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
161.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
160.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
160.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
160.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
160.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
160.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
160.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
159.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
159.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
158.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
158.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
157.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
155.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
155.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
154.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
153.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
153.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
152.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
152.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
152.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
152.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
152.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
152.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
151.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
151.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
150.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
150.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
149.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
149.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
149.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
149.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
149.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
149.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
148.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
147.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
147.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
147.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
146.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
146.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
146.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
145.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
145.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
145.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
144.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
143.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
143.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
143.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
143.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
142.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
142.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
142.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
142.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
142.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
141.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
141.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
141.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
141.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
141.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
141.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
140.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
140.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
140.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
140.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
140.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
139.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
139.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
139.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
139.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
138.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
138.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
138.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
137.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
137.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
136.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
136.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
135.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
135.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
135.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
135.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
135.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
135.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
134.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
134.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
133.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
133.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
132.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
132.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
132.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
132.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
132.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
132.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
132.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
132.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
132.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
132.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
132.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
131.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
131.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
131.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
131.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
131.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
130.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
130.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
130.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
130.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
130.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
130.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
130.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
129.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
129.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
129.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
129.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
128.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
127.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
127.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
127.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
127.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
127.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
127.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
126.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
126.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
125.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
125.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
125.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
125.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
125.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
125.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
125.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
125.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
125.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
124.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
124.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
124.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
124.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
124.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
123.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
123.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
123.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
122.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
122.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
122.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
121.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
121.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
121.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
121.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
121.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
120.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
120.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
120.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
119.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
119.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
119.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
119.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
119.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
119.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
118.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
118.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
118.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
118.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
118.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
117.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
117.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
117.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
117.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
117.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
117.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
117.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
116.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
116.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
116.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
116.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
116.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
116.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
116.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
115.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
115.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
115.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
115.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
115.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
115.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
115.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
115.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
114.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
114.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
114.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
114.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
114.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
114.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
113.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
113.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
113.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
113.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
113.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
113.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
112.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
112.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
112.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
112.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
112.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
111.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
111.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
111.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
111.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
111.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
111.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
111.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
110.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
110.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
110.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
110.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
110.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
110.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
110.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
110.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
109.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
109.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
109.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
109.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
109.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
109.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
108.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
108.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
108.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
107.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
107.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
107.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
107.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
107.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
107.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
106.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
106.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
106.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
106.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
106.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
106.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
105.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
105.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
105.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
105.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
105.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
105.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
105.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
105.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
105.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
104.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
104.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
104.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
104.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
104.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
104.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
103.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
103.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
103.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
103.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
103.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
102.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
102.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
102.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
102.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
101.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
101.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
101.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
100.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
100.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
100.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
100.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
100.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
100.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
99.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
99.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
99.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
99.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
99.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
99.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
98.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
98.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
98.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
98.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
98.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
97.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
97.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
97.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
97.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
97.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
96.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
96.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
96.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
96.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
96.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
96.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
96.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
96.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
96.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
95.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
95.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
95.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
95.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
95.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
95.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
95.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
94.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
94.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
94.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
94.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
94.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
94.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
93.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
93.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
93.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
93.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
93.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
92.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
92.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
92.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
91.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
91.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
90.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
90.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
90.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
89.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
89.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
89.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
89.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
89.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
89.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
89.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
88.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
88.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
88.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
88.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
88.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
88.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
87.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
87.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
87.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
87.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
87.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
87.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
87.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
86.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
86.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
86.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
86.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
86.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
86.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
85.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
85.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
85.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
84.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
84.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
84.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
84.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
84.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
84.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
83.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
83.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
83.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
83.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
82.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
82.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
81.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
81.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
80.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
80.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
80.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
80.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
80.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
80.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
80.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
79.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
78.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
78.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
77.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
77.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
77.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
77.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
77.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
77.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
76.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
75.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
75.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
75.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
74.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
74.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
73.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
73.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
72.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
71.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
71.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
71.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
70.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
70.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
69.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
69.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
69.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
68.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
68.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
66.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
65.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
64.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
64.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
64.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
62.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
60.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
58.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
57.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
53.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
51.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
49.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.1
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.
SUB1 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
159.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
384.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
374.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
339.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
327.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
298.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
291.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
287.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
273.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
238.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
235.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
233.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
230.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
219.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
213.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
207.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
206.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
200.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
193.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
188.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
187.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
185.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
185.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
184.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
180.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
177.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
174.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
171.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
170.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
167.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
167.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
163.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
160.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
159.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
158.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
158.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
155.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
154.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
154.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
153.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
153.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
151.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
150.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
149.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
149.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
148.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
146.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
144.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
143.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
142.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
142.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
141.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
138.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
137.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
136.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
135.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
134.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
129.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
128.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
126.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
126.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
122.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
121.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
121.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
118.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
117.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
117.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
117.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
115.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
115.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
111.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
107.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
105.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
104.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
103.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
103.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
102.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
101.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
101.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
98.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
96.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
94.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
94.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
91.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
90.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
89.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
83.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
43.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SUB1 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
107.8
Number of samples
207
Samples
Sample
Description
TPM
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
300.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
259.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
237.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
210.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
208.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
207.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
205.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
189.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
189.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
187.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
172.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
171.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
170.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
169.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
168.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
166.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
161.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
160.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
158.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
158.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
154.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
153.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
152.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
149.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
149.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
148.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
147.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
146.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
146.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
145.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
143.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
143.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
143.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
141.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
141.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
140.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
140.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
139.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
139.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
136.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
135.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
134.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
133.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
132.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
132.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
131.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
131.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
131.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
130.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
129.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
128.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
127.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
127.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
125.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
123.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
122.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
121.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
121.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
121.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
120.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
120.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
119.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
119.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
119.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
118.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
118.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
117.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
116.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
116.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
116.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
116.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
115.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
115.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
113.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
113.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
113.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
113.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
113.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
113.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
111.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
111.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
111.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
109.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
109.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
109.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
109.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
107.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
107.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
107.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
106.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
106.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
106.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
106.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
105.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
105.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
104.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
104.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
104.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
103.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
103.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
101.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
100.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
100.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
100.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
99.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
98.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
98.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
98.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
98.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
97.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
97.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
97.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
97.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
97.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
96.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
96.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
96.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
96.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
95.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
95.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
94.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
94.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
92.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
92.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
92.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
91.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
91.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
91.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
90.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
90.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
90.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
89.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
88.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
88.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
88.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
88.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
87.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
87.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
87.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
87.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
86.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
86.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
86.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
85.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
85.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
84.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
84.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
84.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
83.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
83.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
83.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
82.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
81.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
80.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
79.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
79.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
79.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
79.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
78.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
77.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
77.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
77.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
77.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
76.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
76.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
75.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
75.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
75.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
75.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
75.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
74.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
74.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
74.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
73.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
73.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
73.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
72.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
72.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
72.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
72.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
71.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
70.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
70.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
70.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
69.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
68.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
68.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
68.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
67.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
66.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
65.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
65.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
64.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
63.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
62.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
60.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
57.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
54.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
52.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
50.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
49.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
46.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.4
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.