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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.
IFI30 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
227.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1102.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1063.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
902.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
869.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
864.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
850.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
842.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
745.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
716.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
654.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
653.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
648.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
630.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
623.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
577.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
547.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
531.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
528.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
515.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
514.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
511.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
510.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
483.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
472.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
470.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
438.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
437.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
436.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
415.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
414.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
413.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
411.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
400.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
396.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
395.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
393.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
388.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
387.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
385.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
383.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
376.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
368.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
364.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
351.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
350.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
350.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
347.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
347.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
342.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
341.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
340.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
327.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
323.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
320.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
313.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
311.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
308.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
306.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
303.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
286.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
284.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
281.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
281.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
280.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
277.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
277.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
276.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
276.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
273.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
273.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
272.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
270.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
270.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
270.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
269.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
268.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
266.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
265.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
264.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
263.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
260.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
257.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
255.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
250.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
246.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
245.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
242.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
241.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
238.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
236.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
235.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
231.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
230.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
225.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
223.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
222.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
219.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
213.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
213.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
211.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
209.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
209.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
209.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
208.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
203.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
195.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
195.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
195.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
193.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
192.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
191.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
190.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
189.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
189.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
186.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
186.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
185.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
185.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
185.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
183.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
182.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
181.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
181.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
179.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
179.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
175.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
171.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
169.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
167.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
166.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
165.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
164.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
163.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
162.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
162.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
161.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
160.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
160.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
160.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
159.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
158.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
157.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
155.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
154.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
153.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
153.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
151.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
150.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
150.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
149.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
146.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
145.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
144.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
144.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
143.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
142.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
141.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
141.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
140.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
140.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
136.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
136.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
134.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
131.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
129.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
129.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
129.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
128.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
127.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
126.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
125.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
124.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
122.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
122.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
120.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
118.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
117.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
116.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
115.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
114.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
114.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
113.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
111.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
105.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
105.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
105.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
104.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
104.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
103.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
102.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
101.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
99.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
98.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
96.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
95.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
92.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
92.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
91.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
89.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
89.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
89.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
88.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
86.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
86.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
83.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
82.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
80.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
79.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
79.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
78.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
77.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
76.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
76.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
75.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
74.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
73.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
71.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
71.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
70.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
69.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
69.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
68.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
68.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
67.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
65.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
64.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
64.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
62.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
62.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
60.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
59.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
51.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
44.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
43.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
42.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
42.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
41.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
38.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
34.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
33.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
32.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
31.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
23.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 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.
IFI30 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
215.0
Number of samples
486
Samples
Sample
Description
TPM
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
848.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
831.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
741.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
715.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
708.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
670.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
665.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
655.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
600.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
594.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
587.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
580.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
575.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
563.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
555.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
555.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
547.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
543.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
537.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
522.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
511.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
505.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
502.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
492.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
478.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
477.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
474.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
471.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
459.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
456.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
448.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
446.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
444.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
433.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
430.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
423.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
421.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
421.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
417.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
409.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
403.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
401.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
399.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
398.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
396.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
396.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
393.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
389.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
379.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
378.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
377.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
376.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
376.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
376.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
369.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
368.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
368.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
368.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
365.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
364.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
362.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
362.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
358.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
358.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
358.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
354.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
352.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
351.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
349.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
349.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
348.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
348.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
346.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
345.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
345.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
344.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
342.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
342.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
342.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
341.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
339.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
338.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
335.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
333.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
333.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
332.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
330.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
327.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
325.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
325.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
324.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
323.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
321.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
321.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
316.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
314.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
314.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
312.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
310.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
308.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
302.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
302.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
301.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
300.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
299.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
298.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
298.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
297.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
290.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
286.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
284.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
283.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
281.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
280.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
276.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
274.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
274.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
274.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
273.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
271.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
271.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
270.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
269.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
268.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
268.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
267.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
267.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
267.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
266.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
266.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
266.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
265.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
265.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
264.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
263.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
262.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
261.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
261.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
261.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
258.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
256.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
256.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
255.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
255.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
255.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
254.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
253.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
252.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
252.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
252.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
251.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
251.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
248.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
244.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
244.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
243.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
242.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
242.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
242.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
241.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
241.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
241.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
241.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
239.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
237.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
236.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
234.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
233.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
233.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
232.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
232.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
230.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
230.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
230.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
228.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
228.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
227.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
226.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
225.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
224.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
220.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
220.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
220.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
219.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
219.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
219.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
219.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
219.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
217.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
216.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
216.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
216.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
215.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
212.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
211.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
211.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
211.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
209.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
209.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
208.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
207.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
205.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
205.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
205.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
204.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
203.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
202.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
202.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
202.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
201.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
200.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
200.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
198.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
198.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
198.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
197.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
197.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
195.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
195.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
193.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
193.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
192.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
192.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
190.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
190.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
190.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
189.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
189.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
189.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
188.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
186.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
186.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
186.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
186.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
186.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
184.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
183.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
183.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
182.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
182.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
181.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
180.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
179.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
179.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
179.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
178.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
178.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
176.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
176.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
176.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
175.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
175.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
175.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
175.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
174.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
173.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
173.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
172.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
172.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
171.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
171.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
170.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
169.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
168.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
168.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
167.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
167.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
166.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
166.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
165.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
165.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
165.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
165.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
165.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
164.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
164.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
163.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
161.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
161.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
160.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
160.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
159.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
159.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
159.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
158.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
158.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
158.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
157.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
156.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
156.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
155.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
154.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
154.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
154.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
153.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
153.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
152.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
151.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
150.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
150.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
150.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
149.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
149.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
148.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
148.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
148.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
147.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
147.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
146.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
144.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
143.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
143.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
142.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
142.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
140.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
140.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
140.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
138.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
138.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
137.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
137.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
136.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
136.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
135.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
135.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
135.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
134.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
134.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
133.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
133.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
132.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
132.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
132.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
131.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
130.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
130.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
130.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
129.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
129.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
129.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
128.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
128.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
128.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
127.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
127.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
126.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
125.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
125.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
125.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
124.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
124.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
123.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
123.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
122.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
122.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
121.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
120.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
120.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
120.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
120.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
119.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
119.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
119.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
119.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
119.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
118.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
118.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
118.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
118.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
118.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
117.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
115.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
115.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
115.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
115.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
115.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
114.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
114.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
114.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
113.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
113.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
113.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
113.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
113.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
112.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
111.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
111.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
109.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
109.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
108.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
108.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
103.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
102.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
102.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
102.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
101.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
101.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
101.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
101.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
99.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
98.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
97.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
97.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
97.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
97.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
97.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
96.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
95.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
95.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
95.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
95.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
94.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
94.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
93.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
93.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
93.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
93.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
92.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
92.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
92.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
91.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
90.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
90.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
90.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
89.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
88.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
87.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
86.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
85.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
85.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
85.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
84.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
84.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
82.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
81.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
81.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
81.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
81.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
80.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
80.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
80.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
79.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
78.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
78.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
78.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
76.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
76.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
75.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
72.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
72.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
72.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
72.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
71.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
71.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
70.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
70.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
69.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
68.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
67.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
67.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
66.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
64.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
64.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
63.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
61.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
60.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
60.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
59.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
59.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
58.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
58.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
54.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
53.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
48.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
47.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
34.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
16.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.0
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.
IFI30 is potential prognostic, high expression is unfavorable 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
175.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
668.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
525.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
458.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
432.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
414.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
390.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
351.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
345.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
345.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
345.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
334.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
324.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
324.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
309.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
303.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
281.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
279.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
263.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
260.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
244.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
243.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
243.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
239.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
229.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
227.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
212.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
210.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
209.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
201.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
196.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
195.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
192.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
188.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
184.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
182.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
179.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
175.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
174.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
162.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
162.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
161.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
151.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
151.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
147.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
146.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
143.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
142.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
134.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
133.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
123.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
117.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
114.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
114.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
113.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
113.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
112.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
112.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
111.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
110.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
103.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
100.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
99.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
94.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
87.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
83.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
79.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
76.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
75.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
72.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
71.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
71.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
69.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
62.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
61.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
60.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
59.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
52.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
50.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
47.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
46.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
43.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
42.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
40.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
37.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.7
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.
IFI30 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
162.3
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
592.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
564.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
519.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
476.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
440.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
417.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
391.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
378.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
373.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
356.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
338.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
333.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
329.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
327.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
321.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
316.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
304.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
300.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
288.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
280.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
275.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
270.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
269.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
265.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
262.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
260.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
251.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
249.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
248.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
248.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
244.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
241.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
240.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
239.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
229.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
228.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
228.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
227.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
227.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
226.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
226.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
224.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
223.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
221.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
219.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
218.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
215.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
214.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
214.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
210.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
210.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
209.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
208.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
206.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
205.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
205.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
203.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
200.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
200.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
199.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
197.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
195.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
194.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
193.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
191.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
191.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
191.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
190.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
190.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
188.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
188.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
187.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
187.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
184.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
177.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
175.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
174.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
174.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
174.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
173.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
172.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
171.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
169.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
168.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
167.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
167.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
166.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
164.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
163.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
163.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
163.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
159.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
159.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
158.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
155.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
155.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
154.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
154.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
154.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
151.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
151.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
151.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
146.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
144.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
142.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
139.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
138.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
138.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
136.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
136.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
135.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
134.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
129.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
128.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
127.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
125.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
123.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
122.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
122.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
121.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
121.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
121.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
120.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
119.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
118.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
117.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
117.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
117.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
115.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
113.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
112.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
110.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
109.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
108.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
107.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
105.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
104.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
104.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
103.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
103.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
102.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
101.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
101.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
99.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
99.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
98.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
98.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
98.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
97.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
97.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
97.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
95.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
95.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
94.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
94.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
93.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
93.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
92.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
90.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
89.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
88.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
88.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
88.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
86.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
85.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
85.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
83.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
82.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
77.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
76.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
76.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
74.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
73.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
73.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
73.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
70.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
70.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
70.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
70.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
69.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
67.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
66.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
66.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
65.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
64.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
62.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
62.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
61.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
61.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
61.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
58.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
57.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
54.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
52.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
41.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
38.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
26.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
21.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
1.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.9
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.9
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.8
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
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Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
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Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
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Normal
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
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Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.8
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
