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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.
RANBP1 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
156.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
378.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
331.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
310.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
307.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
303.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
300.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
285.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
285.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
281.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
279.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
268.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
267.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
264.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
263.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
259.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
254.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
248.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
248.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
248.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
245.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
245.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
244.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
243.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
240.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
238.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
236.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
235.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
233.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
231.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
229.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
226.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
225.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
225.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
223.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
222.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
222.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
221.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
221.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
220.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
219.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
218.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
217.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
217.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
214.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
214.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
214.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
213.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
213.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
213.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
212.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
208.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
208.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
207.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
207.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
206.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
206.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
205.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
203.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
202.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
199.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
199.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
193.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
191.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
189.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
189.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
188.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
185.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
185.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
184.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
183.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
182.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
182.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
182.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
181.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
181.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
181.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
181.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
180.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
180.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
180.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
179.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
179.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
178.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
178.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
177.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
177.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
176.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
176.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
175.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
175.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
172.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
171.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
171.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
169.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
169.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
169.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
166.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
165.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
165.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
164.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
164.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
164.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
163.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
163.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
163.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
162.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
162.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
162.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
161.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
161.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
160.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
160.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
159.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
157.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
157.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
155.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
155.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
153.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
153.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
153.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
152.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
152.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
151.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
150.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
150.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
150.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
150.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
148.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
147.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
146.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
143.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
143.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
142.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
141.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
141.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
141.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
141.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
137.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
137.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
137.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
136.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
136.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
135.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
134.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
134.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
134.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
133.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
133.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
133.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
132.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
131.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
131.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
131.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
129.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
129.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
129.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
128.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
128.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
126.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
126.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
125.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
125.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
124.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
124.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
124.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
124.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
123.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
122.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
122.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
122.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
122.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
122.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
121.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
121.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
121.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
121.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
120.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
119.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
119.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
118.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
117.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
117.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
116.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
116.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
115.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
115.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
115.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
114.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
114.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
114.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
113.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
113.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
113.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
112.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
112.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
111.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
111.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
111.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
109.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
108.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
108.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
107.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
107.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
107.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
106.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
104.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
104.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
104.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
103.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
101.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
101.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
100.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
100.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
100.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
99.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
98.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
97.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
97.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
96.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
94.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
93.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
93.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
92.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
92.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
92.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
90.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
90.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
90.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
90.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
90.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
89.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
87.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
87.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
87.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
86.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
84.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
83.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
83.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
80.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
80.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
80.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
80.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
80.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
79.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
79.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
78.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
77.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
76.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
72.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
69.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
59.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
53.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
52.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
RANBP1 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
136.7
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
329.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
315.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
311.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
289.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
287.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
263.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
261.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
260.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
252.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
249.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
247.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
244.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
243.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
238.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
236.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
235.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
231.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
227.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
226.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
226.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
225.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
224.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
223.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
222.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
220.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
217.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
217.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
213.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
212.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
208.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
208.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
207.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
207.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
207.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
207.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
204.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
204.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
204.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
202.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
202.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
200.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
200.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
199.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
199.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
198.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
197.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
197.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
197.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
196.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
196.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
196.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
195.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
194.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
194.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
193.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
193.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
193.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
193.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
192.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
191.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
188.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
188.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
186.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
186.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
186.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
185.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
185.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
184.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
184.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
184.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
183.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
182.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
182.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
182.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
181.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
181.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
180.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
179.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
179.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
179.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
178.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
178.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
178.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
176.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
176.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
175.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
175.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
174.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
174.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
174.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
174.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
173.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
173.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
173.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
173.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
173.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
172.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
172.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
172.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
171.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
171.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
171.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
170.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
170.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
170.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
170.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
170.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
169.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
169.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
169.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
168.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
168.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
168.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
167.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
167.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
166.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
166.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
166.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
165.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
165.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
164.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
164.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
164.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
164.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
163.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
163.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
163.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
163.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
162.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
162.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
162.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
161.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
161.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
161.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
161.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
160.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
160.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
160.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
159.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
159.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
159.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
159.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
159.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
159.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
159.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
159.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
158.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
156.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
156.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
155.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
155.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
155.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
154.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
154.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
154.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
154.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
154.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
153.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
153.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
153.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
152.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
152.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
152.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
152.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
151.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
151.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
151.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
150.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
150.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
150.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
150.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
150.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
150.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
150.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
150.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
150.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
150.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
149.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
149.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
149.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
149.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
148.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
148.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
148.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
148.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
148.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
147.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
147.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
147.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
146.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
145.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
145.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
145.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
145.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
145.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
145.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
144.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
144.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
143.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
143.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
142.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
142.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
142.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
142.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
142.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
142.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
141.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
141.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
141.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
141.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
140.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
140.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
140.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
140.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
140.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
139.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
139.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
138.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
137.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
137.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
136.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
136.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
136.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
136.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
136.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
135.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
135.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
135.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
135.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
135.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
134.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
134.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
134.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
134.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
134.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
134.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
133.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
133.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
133.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
133.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
132.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
132.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
132.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
132.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
132.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
131.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
131.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
131.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
131.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
130.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
130.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
130.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
129.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
129.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
129.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
128.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
128.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
128.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
128.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
128.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
127.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
127.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
127.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
127.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
126.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
126.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
126.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
125.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
125.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
125.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
124.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
124.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
124.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
124.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
124.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
124.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
123.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
123.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
123.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
123.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
123.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
122.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
122.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
122.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
122.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
122.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
122.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
121.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
121.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
121.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
121.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
121.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
121.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
121.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
121.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
121.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
120.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
120.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
120.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
119.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
119.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
119.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
119.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
119.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
118.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
118.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
118.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
117.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
117.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
116.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
116.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
116.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
115.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
115.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
115.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
114.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
114.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
114.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
113.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
113.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
113.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
112.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
112.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
112.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
112.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
112.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
112.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
112.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
112.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
112.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
111.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
111.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
111.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
110.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
110.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
110.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
110.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
109.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
109.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
109.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
109.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
109.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
109.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
109.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
109.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
109.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
108.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
108.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
108.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
107.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
107.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
107.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
107.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
106.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
106.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
106.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
106.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
106.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
105.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
105.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
105.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
104.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
104.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
104.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
104.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
103.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
103.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
103.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
102.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
102.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
102.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
102.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
101.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
100.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
100.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
100.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
100.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
100.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
99.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
99.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
99.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
99.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
98.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
98.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
98.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
98.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
97.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
97.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
97.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
96.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
96.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
95.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
94.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
94.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
94.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
94.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
94.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
94.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
93.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
93.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
93.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
93.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
93.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
92.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
92.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
91.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
91.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
90.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
90.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
90.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
90.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
89.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
89.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
89.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
89.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
88.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
88.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
88.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
88.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
88.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
88.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
88.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
88.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
88.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
88.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
87.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
87.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
87.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
86.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
85.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
85.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
83.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
83.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
82.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
82.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
80.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
80.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
79.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
79.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
79.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
79.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
79.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
79.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
78.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
77.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
77.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
77.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
75.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
75.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
75.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
74.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
73.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
72.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
72.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
71.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
71.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
70.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
69.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
69.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
68.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
68.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
67.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
67.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
65.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
65.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
64.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
62.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
61.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
61.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
60.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
60.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
58.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
58.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
58.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
57.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
56.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
56.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
48.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
46.0
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.
RANBP1 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
154.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
424.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
345.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
339.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
290.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
289.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
284.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
284.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
256.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
239.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
229.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
226.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
222.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
219.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
218.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
211.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
208.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
202.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
189.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
189.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
181.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
177.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
177.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
174.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
173.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
172.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
171.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
171.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
170.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
168.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
168.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
167.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
162.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
162.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
162.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
158.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
157.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
152.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
151.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
151.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
150.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
148.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
146.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
145.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
143.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
138.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
137.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
136.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
133.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
132.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
131.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
129.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
128.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
125.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
123.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
123.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
120.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
119.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
118.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
115.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
113.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
113.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
112.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
111.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
111.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
109.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
108.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
107.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
106.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
105.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
103.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
102.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
100.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
100.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
99.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
96.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
94.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
89.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
87.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
85.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
84.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
83.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
78.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
76.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
76.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
74.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
68.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
61.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 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.
RANBP1 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
119.9
Number of samples
207
Samples
Sample
Description
TPM
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
259.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
236.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
235.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
231.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
230.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
230.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
229.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
225.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
210.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
207.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
206.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
201.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
201.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
197.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
196.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
188.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
188.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
187.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
186.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
186.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
184.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
180.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
179.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
175.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
175.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
173.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
171.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
170.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
166.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
166.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
165.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
163.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
160.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
157.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
157.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
156.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
156.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
154.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
152.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
151.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
151.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
151.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
150.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
149.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
148.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
147.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
147.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
147.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
146.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
146.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
145.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
145.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
144.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
142.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
141.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
141.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
140.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
140.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
139.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
139.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
139.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
138.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
138.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
137.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
137.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
137.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
136.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
135.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
135.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
133.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
133.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
132.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
131.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
131.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
131.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
130.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
130.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
129.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
129.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
129.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
129.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
128.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
127.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
127.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
127.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
127.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
127.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
127.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
127.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
125.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
125.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
125.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
124.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
124.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
123.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
122.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
122.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
120.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
119.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
117.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
115.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
115.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
115.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
114.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
113.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
113.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
112.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
112.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
111.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
110.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
110.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
110.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
110.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
109.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
109.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
108.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
108.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
108.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
108.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
107.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
107.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
107.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
106.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
105.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
104.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
104.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
103.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
103.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
103.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
102.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
102.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
102.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
101.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
101.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
100.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
100.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
100.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
100.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
99.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
99.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
98.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
98.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
97.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
95.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
95.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
92.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
92.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
90.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
90.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
90.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
89.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
87.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
87.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
86.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
86.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
86.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
86.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
86.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
85.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
84.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
83.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
83.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
82.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
81.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
81.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
80.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
80.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
80.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
79.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
77.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
76.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
74.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
73.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
72.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
72.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
71.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
71.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
71.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
70.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
70.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
69.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
67.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
66.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
66.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
66.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
65.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
64.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
63.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
63.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
62.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
60.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
58.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
58.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
57.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
56.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
56.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
49.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
47.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
46.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.9
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
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Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
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Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.8
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.