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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.
NDUFC2 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
220.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1026.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
407.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
392.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
379.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
365.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
361.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
351.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
347.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
347.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
344.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
344.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
342.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
339.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
338.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
338.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
337.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
333.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
325.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
318.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
315.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
314.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
307.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
306.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
304.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
301.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
299.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
298.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
298.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
296.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
296.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
295.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
295.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
291.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
289.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
288.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
288.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
284.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
283.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
280.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
278.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
278.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
278.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
278.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
277.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
276.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
272.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
271.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
271.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
270.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
269.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
268.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
267.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
264.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
263.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
263.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
262.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
261.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
260.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
260.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
258.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
256.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
253.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
252.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
251.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
250.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
250.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
249.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
249.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
249.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
248.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
248.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
248.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
248.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
248.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
247.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
246.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
245.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
244.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
244.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
244.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
243.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
242.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
241.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
240.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
240.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
239.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
239.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
239.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
239.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
238.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
238.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
238.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
237.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
236.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
236.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
235.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
234.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
234.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
234.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
233.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
233.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
233.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
232.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
231.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
231.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
231.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
230.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
230.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
230.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
229.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
229.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
228.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
228.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
227.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
227.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
226.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
225.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
225.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
223.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
221.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
220.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
219.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
219.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
218.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
218.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
217.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
217.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
215.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
215.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
214.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
214.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
214.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
214.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
213.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
213.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
213.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
211.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
208.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
206.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
206.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
205.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
205.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
204.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
203.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
203.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
202.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
201.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
201.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
200.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
198.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
197.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
196.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
196.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
196.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
196.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
196.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
194.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
193.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
192.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
192.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
190.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
190.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
189.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
188.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
188.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
187.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
186.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
186.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
186.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
184.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
183.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
182.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
180.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
179.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
178.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
178.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
177.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
177.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
177.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
176.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
176.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
174.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
174.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
174.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
172.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
170.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
170.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
170.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
169.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
169.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
169.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
168.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
168.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
168.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
168.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
167.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
166.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
166.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
164.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
163.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
163.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
163.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
162.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
161.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
160.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
156.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
156.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
156.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
156.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
155.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
152.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
152.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
151.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
151.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
150.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
149.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
148.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
148.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
147.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
147.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
146.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
146.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
145.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
144.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
141.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
139.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
139.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
137.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
137.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
137.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
136.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
134.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
133.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
131.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
130.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
128.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
128.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
128.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
127.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
126.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
125.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
121.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
119.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
117.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
113.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
112.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
110.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
108.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
108.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
105.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
105.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
101.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
92.0
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.
NDUFC2 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
110.5
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
220.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
213.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
199.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
196.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
194.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
193.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
193.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
187.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
184.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
184.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
183.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
181.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
181.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
180.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
176.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
172.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
171.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
171.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
169.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
169.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
169.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
167.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
165.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
162.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
161.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
161.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
161.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
160.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
160.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
160.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
159.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
159.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
158.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
158.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
158.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
154.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
154.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
153.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
152.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
152.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
152.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
152.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
151.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
151.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
151.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
151.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
151.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
150.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
150.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
150.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
150.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
149.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
149.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
147.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
147.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
147.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
147.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
146.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
146.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
146.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
146.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
145.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
145.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
145.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
144.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
144.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
144.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
144.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
143.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
143.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
142.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
142.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
142.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
142.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
141.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
141.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
141.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
141.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
140.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
140.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
139.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
138.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
138.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
138.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
138.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
138.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
138.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
137.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
137.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
137.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
136.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
136.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
136.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
136.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
136.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
135.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
135.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
134.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
134.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
134.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
134.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
133.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
132.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
132.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
132.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
132.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
132.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
132.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
131.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
131.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
131.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
130.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
130.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
130.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
129.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
129.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
129.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
129.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
128.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
128.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
128.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
128.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
128.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
128.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
126.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
126.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
126.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
126.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
126.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
126.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
126.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
126.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
125.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
125.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
125.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
125.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
125.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
125.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
125.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
124.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
124.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
124.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
124.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
124.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
124.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
123.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
123.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
123.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
123.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
123.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
123.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
123.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
123.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
122.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
122.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
122.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
122.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
122.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
122.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
122.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
122.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
122.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
122.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
122.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
122.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
121.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
121.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
121.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
121.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
121.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
121.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
121.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
121.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
121.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
121.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
120.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
120.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
120.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
120.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
120.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
119.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
119.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
119.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
119.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
119.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
119.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
118.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
118.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
118.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
118.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
118.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
118.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
117.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
117.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
117.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
117.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
116.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
116.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
116.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
116.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
116.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
116.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
116.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
115.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
115.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
115.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
115.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
115.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
115.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
114.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
114.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
114.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
114.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
113.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
113.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
113.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
113.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
113.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
113.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
113.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
113.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
113.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
113.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
113.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
113.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
113.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
113.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
113.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
112.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
112.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
112.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
112.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
112.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
112.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
112.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
111.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
111.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
111.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
111.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
111.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
111.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
111.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
111.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
110.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
110.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
110.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
110.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
110.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
110.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
109.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
109.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
109.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
109.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
108.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
108.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
108.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
108.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
108.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
107.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
107.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
107.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
107.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
107.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
107.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
106.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
106.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
106.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
106.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
106.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
105.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
105.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
105.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
105.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
105.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
105.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
105.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
105.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
105.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
104.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
104.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
104.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
104.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
104.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
104.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
103.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
103.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
103.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
103.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
102.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
102.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
102.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
102.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
102.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
101.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
101.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
101.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
101.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
100.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
100.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
100.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
100.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
100.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
100.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
100.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
99.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
99.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
99.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
99.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
99.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
98.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
98.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
98.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
98.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
97.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
97.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
97.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
97.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
97.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
97.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
96.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
96.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
96.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
96.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
96.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
96.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
95.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
95.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
95.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
95.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
94.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
94.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
94.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
94.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
94.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
93.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
92.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
92.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
91.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
91.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
91.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
91.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
91.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
91.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
91.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
91.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
91.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
91.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
91.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
91.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
90.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
90.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
90.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
89.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
89.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
89.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
89.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
89.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
88.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
88.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
88.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
88.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
88.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
88.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
87.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
87.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
87.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
87.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
87.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
87.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
86.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
86.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
86.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
86.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
86.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
86.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
85.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
85.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
85.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
85.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
85.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
85.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
84.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
84.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
84.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
83.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
83.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
83.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
83.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
83.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
83.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
82.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
82.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
82.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
82.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
82.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
82.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
81.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
81.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
81.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
80.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
80.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
80.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
80.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
80.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
80.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
80.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
80.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
80.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
80.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
79.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
79.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
79.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
79.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
79.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
78.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
78.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
78.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
78.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
77.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
77.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
77.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
77.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
76.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
76.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
76.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
76.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
76.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
75.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
75.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
74.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
74.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
74.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
73.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
73.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
73.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
72.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
72.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
72.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
71.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
71.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
70.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
70.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
70.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
70.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
70.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
69.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
69.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
69.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
69.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
68.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
68.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
68.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
68.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
67.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
67.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
66.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
65.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
64.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
64.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
63.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
62.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
61.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
61.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
60.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
55.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
49.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
40.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
39.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.7
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.
NDUFC2 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
223.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
525.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
389.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
387.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
360.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
346.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
345.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
319.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
318.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
317.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
314.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
299.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
297.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
297.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
280.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
279.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
275.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
271.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
268.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
268.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
268.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
256.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
254.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
253.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
250.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
246.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
245.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
240.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
240.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
240.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
239.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
238.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
234.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
234.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
231.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
230.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
228.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
227.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
224.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
223.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
223.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
216.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
214.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
214.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
212.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
211.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
210.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
208.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
208.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
206.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
203.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
201.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
201.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
201.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
199.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
196.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
194.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
194.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
194.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
193.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
188.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
187.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
186.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
184.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
183.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
182.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
182.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
181.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
180.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
180.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
180.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
174.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
168.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
167.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
162.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
161.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
160.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
149.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
148.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
146.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
144.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
143.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
139.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
138.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
132.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
132.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
108.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
107.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
NDUFC2 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
108.3
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
187.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
179.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
177.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
173.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
158.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
157.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
156.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
156.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
154.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
153.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
153.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
152.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
151.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
151.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
150.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
149.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
149.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
148.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
146.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
145.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
143.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
141.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
140.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
140.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
140.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
139.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
139.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
138.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
137.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
135.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
135.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
135.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
134.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
132.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
132.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
131.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
131.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
131.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
130.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
130.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
129.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
129.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
128.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
128.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
128.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
128.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
128.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
128.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
127.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
127.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
127.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
127.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
126.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
126.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
125.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
125.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
123.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
123.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
122.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
122.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
121.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
121.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
121.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
121.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
121.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
121.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
121.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
120.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
119.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
119.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
119.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
119.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
118.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
118.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
117.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
117.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
117.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
117.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
117.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
117.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
116.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
115.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
115.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
115.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
115.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
115.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
115.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
114.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
114.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
114.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
113.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
113.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
112.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
112.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
111.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
111.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
111.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
110.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
110.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
110.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
110.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
109.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
108.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
108.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
108.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
107.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
107.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
107.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
107.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
106.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
106.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
106.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
106.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
106.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
105.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
104.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
104.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
104.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
104.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
104.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
103.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
102.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
102.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
102.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
101.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
101.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
101.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
101.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
100.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
100.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
100.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
98.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
97.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
97.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
95.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
95.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
95.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
95.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
94.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
93.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
92.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
92.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
92.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
92.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
91.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
91.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
90.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
90.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
90.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
90.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
90.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
88.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
87.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
87.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
87.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
86.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
86.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
86.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
86.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
86.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
85.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
85.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
84.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
84.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
83.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
83.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
82.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
82.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
82.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
81.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
81.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
81.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
81.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
80.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
80.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
80.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
80.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
80.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
79.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
79.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
79.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
79.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
78.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
78.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
76.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
75.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
75.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
75.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
74.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
71.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
70.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
70.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
69.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
69.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
68.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
67.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
67.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
65.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
64.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
64.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
63.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
62.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
58.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
58.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
54.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.9
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.8
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
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Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
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Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
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Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
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Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
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Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
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Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
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Normal
-0.3
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Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
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Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.1
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.