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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.
CD99 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
206.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
530.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
497.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
487.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
470.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
464.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
457.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
453.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
443.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
426.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
414.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
407.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
405.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
363.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
362.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
358.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
357.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
354.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
339.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
337.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
334.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
331.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
331.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
329.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
326.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
325.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
325.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
325.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
325.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
324.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
320.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
319.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
319.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
318.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
317.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
314.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
314.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
311.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
311.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
309.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
305.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
304.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
297.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
291.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
287.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
287.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
286.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
285.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
284.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
283.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
283.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
279.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
279.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
277.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
277.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
276.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
275.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
273.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
272.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
270.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
269.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
268.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
268.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
267.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
265.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
265.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
260.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
257.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
257.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
254.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
251.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
248.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
247.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
246.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
244.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
243.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
241.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
240.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
239.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
239.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
237.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
234.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
234.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
233.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
232.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
228.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
228.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
228.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
227.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
225.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
224.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
224.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
223.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
220.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
220.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
220.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
220.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
218.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
218.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
217.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
217.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
217.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
216.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
214.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
212.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
211.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
210.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
210.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
210.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
210.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
209.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
209.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
209.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
208.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
208.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
206.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
206.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
204.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
203.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
200.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
200.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
198.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
196.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
195.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
195.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
194.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
193.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
193.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
193.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
191.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
191.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
190.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
190.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
189.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
187.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
187.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
187.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
185.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
184.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
183.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
182.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
181.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
180.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
179.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
177.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
176.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
175.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
174.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
173.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
170.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
169.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
168.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
166.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
166.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
166.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
165.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
165.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
161.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
161.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
160.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
160.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
158.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
157.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
157.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
155.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
153.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
153.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
153.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
151.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
150.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
150.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
149.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
148.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
148.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
147.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
146.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
145.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
145.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
145.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
143.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
143.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
143.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
142.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
142.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
142.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
142.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
142.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
141.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
140.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
140.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
140.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
140.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
139.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
138.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
137.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
137.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
136.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
136.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
135.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
135.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
133.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
132.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
132.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
132.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
131.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
129.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
128.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
128.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
127.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
127.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
127.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
124.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
123.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
122.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
122.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
120.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
118.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
118.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
118.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
113.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
112.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
111.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
110.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
110.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
105.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
105.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
105.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
104.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
103.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
102.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
101.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
100.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
100.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
94.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
93.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
93.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
92.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
91.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
87.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
87.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
84.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
83.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
81.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
80.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
78.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
77.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
74.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
73.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
66.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
62.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
60.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
54.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
47.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
45.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
CD99 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
151.3
Number of samples
486
Samples
Sample
Description
TPM
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
541.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
365.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
348.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
309.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
305.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
304.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
304.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
299.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
298.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
289.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
283.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
279.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
273.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
269.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
268.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
268.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
267.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
266.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
264.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
263.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
261.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
261.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
261.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
260.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
259.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
256.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
255.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
255.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
253.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
253.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
252.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
248.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
248.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
248.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
245.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
244.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
240.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
239.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
237.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
236.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
235.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
235.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
235.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
234.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
234.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
233.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
232.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
231.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
231.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
229.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
228.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
227.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
223.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
223.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
222.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
222.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
221.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
220.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
220.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
220.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
219.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
219.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
218.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
218.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
216.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
213.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
213.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
208.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
208.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
207.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
207.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
207.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
206.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
206.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
206.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
205.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
204.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
203.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
203.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
203.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
202.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
201.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
201.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
199.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
199.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
199.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
199.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
199.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
197.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
196.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
196.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
195.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
195.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
195.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
195.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
195.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
194.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
193.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
193.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
193.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
193.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
192.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
191.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
191.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
191.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
191.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
191.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
190.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
190.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
190.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
189.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
189.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
188.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
188.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
188.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
187.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
186.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
185.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
184.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
184.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
183.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
183.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
182.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
180.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
180.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
180.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
179.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
179.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
178.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
178.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
177.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
177.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
176.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
176.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
176.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
176.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
175.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
175.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
175.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
174.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
174.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
174.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
174.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
172.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
172.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
172.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
172.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
171.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
171.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
171.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
170.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
170.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
169.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
169.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
169.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
168.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
168.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
167.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
167.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
167.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
167.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
166.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
166.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
165.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
165.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
164.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
164.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
164.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
163.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
163.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
163.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
163.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
162.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
162.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
162.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
162.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
162.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
162.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
161.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
161.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
161.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
161.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
160.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
160.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
160.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
160.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
159.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
159.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
159.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
159.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
158.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
158.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
158.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
157.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
157.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
156.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
156.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
155.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
155.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
155.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
155.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
155.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
155.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
154.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
154.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
154.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
153.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
153.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
153.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
153.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
153.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
152.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
152.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
152.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
152.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
151.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
151.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
151.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
151.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
150.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
150.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
150.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
149.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
149.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
149.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
149.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
149.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
148.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
148.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
148.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
148.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
148.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
147.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
147.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
147.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
147.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
147.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
146.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
146.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
146.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
146.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
146.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
145.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
145.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
145.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
144.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
144.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
143.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
143.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
143.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
143.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
142.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
142.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
142.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
141.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
140.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
140.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
140.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
140.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
140.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
140.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
139.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
139.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
138.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
138.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
138.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
138.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
138.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
138.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
136.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
135.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
135.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
135.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
134.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
134.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
134.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
134.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
134.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
134.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
134.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
133.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
133.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
133.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
133.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
133.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
133.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
132.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
132.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
132.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
132.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
132.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
132.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
131.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
131.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
131.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
131.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
131.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
131.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
130.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
130.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
130.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
130.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
129.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
129.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
129.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
128.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
128.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
128.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
128.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
128.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
127.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
127.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
127.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
126.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
126.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
126.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
126.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
125.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
125.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
125.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
124.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
124.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
124.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
124.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
124.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
124.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
124.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
124.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
124.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
123.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
123.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
123.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
123.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
122.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
122.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
122.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
121.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
120.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
119.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
119.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
118.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
118.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
118.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
118.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
117.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
117.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
117.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
116.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
116.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
116.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
116.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
116.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
115.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
115.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
114.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
114.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
114.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
114.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
114.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
113.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
113.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
112.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
112.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
112.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
112.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
111.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
111.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
110.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
110.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
109.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
109.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
108.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
107.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
107.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
107.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
107.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
106.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
106.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
106.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
106.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
106.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
105.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
105.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
105.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
105.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
104.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
103.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
103.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
103.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
102.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
102.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
102.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
101.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
101.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
100.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
100.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
100.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
100.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
99.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
98.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
98.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
98.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
98.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
97.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
97.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
97.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
97.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
96.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
96.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
96.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
95.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
95.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
95.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
94.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
94.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
94.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
93.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
92.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
92.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
92.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
91.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
90.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
89.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
89.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
89.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
89.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
88.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
88.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
87.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
87.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
87.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
87.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
86.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
86.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
85.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
85.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
85.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
84.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
84.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
84.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
84.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
84.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
84.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
84.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
84.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
84.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
83.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
82.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
81.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
80.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
80.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
79.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
79.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
78.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
77.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
77.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
75.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
72.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
72.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
71.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
69.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
69.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
67.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
66.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
65.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
64.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
64.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
64.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
63.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
62.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
57.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
55.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
53.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
50.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
48.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
47.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
42.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
39.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.5
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.
CD99 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
204.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
497.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
402.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
398.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
368.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
354.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
351.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
334.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
332.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
321.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
306.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
301.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
301.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
301.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
295.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
291.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
290.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
288.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
277.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
275.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
274.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
270.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
267.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
259.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
259.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
254.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
252.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
245.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
243.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
243.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
243.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
232.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
230.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
219.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
215.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
213.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
201.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
199.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
199.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
192.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
191.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
189.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
189.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
187.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
187.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
186.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
186.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
184.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
177.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
173.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
173.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
169.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
168.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
165.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
160.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
158.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
157.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
155.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
155.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
154.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
152.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
152.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
149.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
149.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
148.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
145.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
143.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
143.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
142.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
139.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
139.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
138.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
138.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
137.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
136.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
133.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
121.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
113.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
113.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
110.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
109.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
105.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
102.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
93.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
89.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
89.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
85.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
59.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
CD99 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
140.1
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
345.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
321.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
319.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
283.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
270.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
269.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
252.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
252.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
250.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
242.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
239.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
237.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
236.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
235.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
233.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
233.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
232.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
226.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
221.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
221.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
217.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
215.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
214.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
212.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
203.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
202.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
198.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
197.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
197.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
197.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
197.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
196.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
194.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
191.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
188.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
187.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
187.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
187.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
183.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
182.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
182.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
181.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
181.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
180.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
177.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
177.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
176.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
174.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
174.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
173.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
173.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
170.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
170.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
168.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
167.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
167.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
167.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
163.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
160.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
160.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
160.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
160.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
160.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
158.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
158.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
157.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
156.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
155.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
155.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
153.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
152.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
152.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
151.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
151.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
149.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
149.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
149.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
148.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
148.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
147.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
146.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
145.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
144.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
144.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
144.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
144.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
143.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
142.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
141.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
140.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
140.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
139.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
139.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
139.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
138.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
138.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
138.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
137.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
137.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
136.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
136.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
135.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
135.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
134.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
134.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
133.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
133.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
132.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
130.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
130.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
129.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
129.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
128.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
128.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
126.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
125.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
125.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
123.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
123.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
123.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
123.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
123.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
122.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
122.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
122.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
121.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
121.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
119.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
118.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
118.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
118.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
118.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
117.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
116.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
116.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
114.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
113.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
113.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
113.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
112.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
112.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
112.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
111.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
111.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
109.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
108.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
107.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
107.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
107.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
106.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
106.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
105.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
105.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
105.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
103.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
103.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
99.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
98.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
97.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
97.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
96.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
95.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
93.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
93.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
93.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
91.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
90.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
90.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
89.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
88.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
88.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
85.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
85.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
85.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
85.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
84.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
82.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
82.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
82.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
82.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
81.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
81.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
80.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
80.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
79.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
79.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
79.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
78.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
78.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
77.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
77.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
77.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
73.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
71.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
71.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
65.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
64.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
63.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
62.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
59.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
43.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
38.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
13.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
41a04113-2061-4923-bca5-da586c_D2
Normal
0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.8
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.9
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-1.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.