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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.
PHB2 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
220.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
525.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
482.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
454.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
443.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
426.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
406.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
388.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
385.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
383.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
369.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
369.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
358.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
358.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
354.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
351.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
349.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
349.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
348.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
345.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
324.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
323.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
322.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
321.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
320.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
318.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
315.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
314.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
312.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
310.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
310.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
310.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
309.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
308.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
306.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
301.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
300.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
296.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
295.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
292.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
291.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
290.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
289.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
288.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
283.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
282.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
280.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
280.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
278.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
275.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
274.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
274.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
273.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
272.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
272.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
271.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
269.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
268.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
268.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
267.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
266.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
264.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
263.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
261.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
257.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
256.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
255.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
253.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
251.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
251.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
250.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
249.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
248.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
247.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
247.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
244.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
244.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
244.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
242.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
242.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
241.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
241.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
240.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
239.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
237.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
237.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
237.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
236.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
236.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
236.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
236.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
235.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
234.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
234.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
234.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
233.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
228.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
227.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
226.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
226.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
225.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
224.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
224.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
224.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
223.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
221.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
221.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
221.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
219.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
219.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
218.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
218.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
216.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
216.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
216.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
214.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
214.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
214.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
214.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
213.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
213.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
212.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
211.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
211.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
210.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
208.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
207.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
206.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
206.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
206.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
205.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
204.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
203.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
202.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
201.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
200.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
200.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
199.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
199.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
199.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
198.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
198.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
198.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
198.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
197.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
197.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
197.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
197.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
196.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
196.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
195.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
195.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
195.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
194.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
194.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
193.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
193.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
192.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
192.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
192.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
192.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
191.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
191.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
190.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
190.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
190.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
188.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
187.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
187.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
187.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
186.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
185.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
185.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
185.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
185.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
184.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
183.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
183.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
183.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
183.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
182.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
182.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
181.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
181.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
180.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
180.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
179.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
175.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
173.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
173.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
172.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
172.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
170.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
170.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
170.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
170.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
168.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
167.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
167.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
166.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
165.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
164.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
163.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
161.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
161.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
160.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
159.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
158.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
158.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
158.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
158.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
158.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
157.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
157.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
157.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
157.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
155.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
154.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
154.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
153.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
151.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
151.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
150.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
149.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
148.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
148.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
148.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
145.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
143.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
143.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
143.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
142.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
140.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
139.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
138.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
138.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
138.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
135.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
123.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
122.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
119.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
117.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
116.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
115.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
114.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
110.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
99.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
96.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
95.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
91.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
86.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
58.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
43.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
28.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
PHB2 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
118.2
Number of samples
486
Samples
Sample
Description
TPM
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
618.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
282.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
259.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
231.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
226.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
225.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
223.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
219.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
213.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
212.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
211.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
209.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
206.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
206.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
206.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
205.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
201.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
200.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
196.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
196.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
193.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
191.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
190.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
190.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
190.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
190.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
190.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
189.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
189.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
188.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
188.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
187.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
186.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
185.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
183.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
183.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
183.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
182.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
182.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
182.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
181.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
180.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
180.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
179.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
179.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
179.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
178.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
176.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
176.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
176.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
174.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
174.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
173.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
173.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
172.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
172.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
172.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
170.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
170.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
170.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
169.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
169.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
169.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
169.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
168.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
168.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
168.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
168.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
167.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
166.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
165.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
164.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
163.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
163.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
163.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
162.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
162.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
161.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
161.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
161.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
161.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
160.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
160.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
160.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
159.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
159.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
159.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
158.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
158.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
158.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
157.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
156.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
154.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
154.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
153.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
151.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
151.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
151.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
150.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
150.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
150.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
150.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
149.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
149.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
149.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
149.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
149.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
148.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
148.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
148.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
148.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
148.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
147.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
147.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
146.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
146.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
146.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
145.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
145.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
145.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
145.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
144.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
143.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
143.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
143.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
143.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
142.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
141.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
141.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
141.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
141.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
140.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
139.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
139.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
138.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
138.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
137.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
137.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
137.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
137.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
136.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
136.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
135.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
135.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
135.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
135.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
134.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
134.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
134.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
133.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
133.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
133.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
132.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
132.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
131.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
131.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
130.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
130.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
130.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
129.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
129.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
129.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
128.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
128.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
128.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
127.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
127.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
127.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
127.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
127.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
127.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
127.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
126.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
126.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
126.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
126.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
126.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
126.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
126.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
126.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
125.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
125.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
125.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
125.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
124.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
124.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
124.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
124.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
124.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
124.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
124.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
123.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
123.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
122.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
122.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
121.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
121.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
121.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
121.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
121.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
120.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
120.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
120.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
120.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
119.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
119.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
119.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
119.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
119.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
119.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
119.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
119.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
118.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
118.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
118.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
118.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
118.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
118.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
118.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
118.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
117.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
117.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
117.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
117.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
117.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
117.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
116.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
116.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
116.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
116.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
115.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
115.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
115.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
115.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
114.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
114.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
114.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
114.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
114.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
114.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
112.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
112.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
112.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
112.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
112.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
112.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
111.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
111.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
111.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
111.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
110.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
110.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
110.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
110.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
109.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
109.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
109.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
109.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
109.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
109.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
109.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
108.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
108.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
108.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
108.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
108.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
108.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
108.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
107.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
107.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
107.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
107.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
106.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
106.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
106.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
106.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
105.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
105.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
105.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
104.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
104.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
104.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
104.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
104.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
104.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
104.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
104.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
104.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
103.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
103.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
103.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
103.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
103.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
103.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
102.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
102.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
102.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
102.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
101.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
101.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
100.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
100.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
100.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
100.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
100.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
99.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
99.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
98.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
98.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
98.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
98.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
98.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
98.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
98.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
98.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
97.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
97.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
97.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
97.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
96.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
96.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
95.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
95.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
95.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
95.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
95.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
94.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
94.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
94.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
94.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
93.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
93.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
93.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
93.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
93.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
93.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
92.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
92.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
92.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
92.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
92.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
92.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
92.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
91.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
91.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
91.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
91.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
91.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
90.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
89.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
89.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
89.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
89.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
89.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
88.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
88.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
87.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
87.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
87.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
87.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
86.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
86.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
86.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
86.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
86.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
85.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
85.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
85.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
84.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
84.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
84.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
84.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
84.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
84.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
83.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
83.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
82.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
82.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
82.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
82.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
82.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
82.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
81.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
81.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
81.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
81.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
81.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
80.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
80.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
79.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
79.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
79.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
79.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
79.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
79.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
79.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
79.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
79.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
78.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
78.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
78.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
78.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
77.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
77.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
77.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
77.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
77.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
77.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
77.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
76.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
74.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
74.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
74.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
73.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
73.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
73.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
72.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
72.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
72.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
72.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
72.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
71.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
70.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
70.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
70.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
70.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
70.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
70.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
70.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
70.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
70.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
69.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
69.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
68.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
67.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
67.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
67.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
67.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
66.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
66.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
66.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
66.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
66.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
66.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
65.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
64.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
64.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
64.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
64.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
63.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
63.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
63.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
62.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
62.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
61.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
60.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
60.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
59.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
59.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
59.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
58.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
58.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
58.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
54.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
54.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
54.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
51.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
49.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
48.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
46.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
45.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
45.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
28.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.9
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.
PHB2 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
194.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
441.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
421.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
338.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
335.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
321.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
317.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
297.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
284.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
282.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
279.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
275.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
272.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
271.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
269.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
266.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
266.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
263.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
255.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
254.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
253.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
252.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
240.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
237.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
237.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
231.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
230.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
224.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
222.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
220.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
218.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
214.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
213.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
213.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
206.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
201.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
199.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
196.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
193.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
191.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
191.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
191.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
190.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
188.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
187.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
186.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
182.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
179.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
176.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
176.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
174.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
172.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
168.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
167.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
161.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
160.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
159.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
159.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
158.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
155.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
154.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
154.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
154.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
154.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
152.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
151.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
149.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
145.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
143.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
140.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
139.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
134.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
134.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
131.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
129.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
129.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
126.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
122.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
119.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
117.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
115.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
111.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
110.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
98.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
97.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
89.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
79.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
41.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PHB2 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
94.5
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
357.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
259.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
250.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
250.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
233.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
216.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
194.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
187.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
175.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
174.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
173.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
167.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
160.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
159.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
157.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
156.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
155.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
145.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
141.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
141.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
140.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
134.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
134.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
132.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
130.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
130.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
129.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
129.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
126.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
126.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
126.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
126.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
124.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
123.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
122.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
122.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
122.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
121.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
119.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
118.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
118.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
117.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
115.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
115.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
114.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
113.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
113.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
112.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
111.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
111.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
111.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
110.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
109.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
109.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
106.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
105.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
105.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
105.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
104.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
104.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
103.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
102.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
100.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
100.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
100.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
100.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
99.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
96.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
95.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
95.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
94.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
94.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
94.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
94.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
94.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
94.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
94.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
93.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
93.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
92.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
92.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
92.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
91.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
90.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
89.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
89.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
88.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
88.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
87.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
87.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
86.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
86.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
86.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
86.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
86.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
86.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
85.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
85.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
85.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
85.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
84.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
84.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
84.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
84.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
83.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
83.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
82.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
82.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
81.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
81.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
81.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
80.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
80.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
80.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
80.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
80.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
80.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
80.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
80.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
79.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
79.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
79.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
79.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
78.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
78.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
78.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
78.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
78.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
77.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
77.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
77.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
77.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
77.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
76.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
76.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
76.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
75.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
75.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
75.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
73.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
73.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
73.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
72.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
72.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
72.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
72.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
72.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
72.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
71.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
70.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
69.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
69.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
69.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
68.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
68.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
68.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
67.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
67.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
66.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
66.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
66.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
64.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
64.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
64.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
64.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
64.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
63.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
63.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
62.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
62.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
62.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
61.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
59.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
58.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
58.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
58.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
58.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
58.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
58.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
56.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
51.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
50.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
50.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
48.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
48.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
48.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
47.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
47.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
43.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
40.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_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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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
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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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
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
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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
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
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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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.0
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Normal
0.0
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Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-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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Tumor
-0.1
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Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
2b810478-7956-4a8b-870d-184859_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
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Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
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Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
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Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
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Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
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.