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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.
GUK1 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
247.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
701.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
602.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
571.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
498.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
492.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
487.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
482.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
453.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
450.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
433.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
423.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
418.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
411.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
406.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
399.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
395.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
395.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
371.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
369.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
369.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
368.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
367.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
366.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
365.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
365.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
364.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
357.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
357.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
351.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
348.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
345.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
342.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
342.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
335.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
334.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
332.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
329.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
328.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
327.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
327.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
326.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
323.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
320.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
320.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
319.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
315.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
310.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
310.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
308.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
303.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
302.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
302.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
298.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
298.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
298.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
297.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
295.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
295.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
294.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
290.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
290.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
288.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
288.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
286.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
285.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
284.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
283.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
281.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
279.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
279.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
277.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
277.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
276.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
274.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
273.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
273.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
271.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
270.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
269.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
268.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
267.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
267.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
265.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
265.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
265.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
265.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
265.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
265.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
263.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
263.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
261.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
261.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
260.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
259.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
259.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
258.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
256.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
255.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
255.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
255.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
254.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
251.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
250.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
249.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
249.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
248.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
246.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
245.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
242.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
240.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
239.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
239.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
239.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
238.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
237.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
237.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
236.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
236.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
236.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
235.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
235.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
233.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
233.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
232.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
232.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
232.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
231.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
230.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
229.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
228.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
228.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
227.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
227.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
226.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
224.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
224.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
224.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
224.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
224.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
223.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
223.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
221.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
221.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
220.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
217.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
217.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
216.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
216.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
215.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
215.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
215.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
215.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
214.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
214.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
213.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
211.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
210.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
209.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
208.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
208.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
207.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
207.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
205.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
205.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
205.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
204.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
204.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
202.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
202.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
201.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
201.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
201.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
201.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
199.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
199.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
198.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
198.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
197.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
196.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
196.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
195.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
195.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
194.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
194.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
193.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
193.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
193.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
193.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
193.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
192.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
192.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
190.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
190.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
189.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
189.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
189.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
186.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
185.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
184.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
181.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
181.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
179.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
179.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
178.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
177.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
176.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
176.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
175.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
174.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
173.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
172.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
172.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
171.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
171.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
168.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
168.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
167.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
166.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
166.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
166.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
164.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
162.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
160.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
159.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
159.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
159.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
158.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
157.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
157.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
156.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
156.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
156.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
155.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
155.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
153.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
153.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
152.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
149.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
147.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
146.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
142.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
141.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
141.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
139.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
138.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
138.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
128.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
124.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
124.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
111.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
102.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
102.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
93.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
GUK1 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
108.4
Number of samples
486
Samples
Sample
Description
TPM
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
286.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
267.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
224.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
218.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
217.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
212.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
208.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
207.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
206.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
200.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
197.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
197.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
194.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
192.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
190.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
189.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
188.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
187.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
187.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
187.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
187.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
186.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
186.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
184.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
184.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
184.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
180.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
178.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
177.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
176.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
175.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
174.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
172.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
172.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
169.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
169.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
169.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
169.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
169.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
167.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
167.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
167.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
166.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
165.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
165.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
165.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
165.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
165.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
164.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
162.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
160.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
160.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
160.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
160.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
159.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
158.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
156.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
155.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
155.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
154.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
153.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
153.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
153.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
153.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
152.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
151.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
150.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
149.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
149.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
149.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
147.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
146.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
146.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
144.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
143.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
143.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
143.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
143.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
142.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
140.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
140.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
140.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
140.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
139.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
139.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
139.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
138.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
138.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
138.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
138.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
138.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
138.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
138.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
137.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
136.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
136.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
136.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
135.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
135.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
134.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
134.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
134.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
134.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
133.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
133.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
133.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
132.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
132.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
132.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
132.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
132.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
131.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
131.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
130.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
130.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
130.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
129.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
129.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
129.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
128.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
128.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
128.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
128.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
128.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
127.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
127.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
127.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
126.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
126.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
126.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
125.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
125.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
125.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
124.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
124.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
124.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
123.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
122.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
122.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
122.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
122.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
121.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
121.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
121.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
121.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
121.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
121.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
120.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
120.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
120.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
120.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
119.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
119.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
119.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
119.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
119.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
119.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
118.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
117.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
117.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
117.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
117.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
116.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
116.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
116.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
115.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
115.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
115.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
115.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
114.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
114.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
113.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
113.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
113.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
113.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
113.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
112.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
112.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
112.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
112.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
112.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
112.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
112.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
111.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
111.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
111.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
111.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
111.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
111.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
111.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
111.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
111.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
111.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
111.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
110.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
110.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
109.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
109.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
109.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
108.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
108.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
108.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
107.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
107.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
107.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
107.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
107.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
107.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
107.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
107.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
107.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
106.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
106.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
106.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
106.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
106.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
106.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
105.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
105.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
105.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
105.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
104.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
104.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
104.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
104.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
104.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
104.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
104.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
104.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
103.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
103.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
103.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
103.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
103.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
102.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
102.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
102.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
102.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
102.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
102.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
102.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
101.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
101.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
101.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
101.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
101.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
100.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
100.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
100.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
100.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
100.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
99.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
99.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
99.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
99.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
98.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
98.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
98.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
98.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
98.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
98.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
98.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
97.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
97.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
97.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
97.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
96.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
96.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
96.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
96.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
96.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
96.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
96.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
96.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
95.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
95.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
94.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
94.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
94.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
94.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
94.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
94.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
94.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
94.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
94.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
94.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
93.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
93.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
93.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
93.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
93.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
93.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
93.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
93.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
93.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
93.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
93.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
93.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
93.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
92.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
92.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
92.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
91.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
91.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
91.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
91.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
91.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
90.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
90.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
90.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
90.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
90.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
90.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
90.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
90.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
90.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
89.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
89.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
89.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
89.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
89.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
88.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
88.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
88.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
88.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
88.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
88.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
88.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
88.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
88.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
88.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
87.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
87.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
87.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
87.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
87.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
86.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
86.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
86.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
86.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
86.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
86.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
85.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
85.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
85.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
85.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
85.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
85.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
85.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
84.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
84.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
84.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
84.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
84.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
83.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
83.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
83.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
83.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
83.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
82.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
82.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
82.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
82.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
82.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
82.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
82.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
82.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
81.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
81.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
80.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
80.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
80.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
80.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
80.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
79.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
79.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
79.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
79.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
79.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
79.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
79.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
78.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
78.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
78.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
78.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
78.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
78.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
78.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
78.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
77.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
77.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
77.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
77.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
77.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
77.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
77.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
77.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
77.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
76.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
76.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
76.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
76.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
76.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
76.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
76.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
76.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
76.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
76.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
75.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
75.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
75.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
75.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
75.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
75.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
75.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
74.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
73.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
73.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
73.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
73.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
73.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
73.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
72.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
72.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
72.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
72.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
71.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
71.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
71.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
71.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
70.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
70.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
69.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
69.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
69.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
69.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
69.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
69.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
67.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
67.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
67.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
66.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
66.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
66.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
65.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
65.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
65.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
64.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
64.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
64.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
62.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
62.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
62.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
62.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
61.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
61.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
61.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
61.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
61.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
59.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
59.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
56.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
56.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
55.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
54.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
51.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
46.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
45.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
41.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GUK1 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
219.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
427.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
419.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
355.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
346.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
338.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
328.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
326.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
322.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
313.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
308.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
308.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
305.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
301.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
292.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
286.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
281.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
270.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
264.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
262.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
258.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
254.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
253.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
251.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
246.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
245.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
244.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
244.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
241.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
239.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
238.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
236.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
236.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
236.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
230.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
226.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
226.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
226.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
222.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
220.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
219.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
216.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
215.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
215.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
214.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
209.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
209.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
203.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
201.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
198.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
198.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
196.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
195.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
195.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
194.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
194.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
193.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
193.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
192.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
191.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
188.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
182.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
177.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
176.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
174.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
173.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
173.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
170.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
165.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
164.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
162.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
159.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
158.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
157.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
153.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
149.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
148.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
147.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
146.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
143.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
143.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
142.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
139.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
138.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
129.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
120.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
118.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
115.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
GUK1 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
84.9
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
218.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
170.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
168.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
159.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
151.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
147.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
145.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
143.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
140.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
139.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
139.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
135.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
134.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
129.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
129.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
129.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
126.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
125.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
124.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
121.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
120.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
119.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
119.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
118.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
117.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
116.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
115.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
114.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
113.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
112.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
111.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
108.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
107.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
107.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
106.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
105.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
105.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
105.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
104.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
104.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
102.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
102.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
101.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
101.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
100.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
99.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
99.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
99.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
98.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
98.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
97.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
97.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
97.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
95.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
95.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
95.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
95.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
94.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
94.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
94.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
94.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
93.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
93.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
92.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
92.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
92.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
92.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
92.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
92.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
92.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
92.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
91.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
91.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
91.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
90.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
90.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
90.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
89.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
89.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
89.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
89.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
89.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
89.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
88.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
88.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
88.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
88.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
87.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
86.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
86.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
86.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
85.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
85.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
85.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
85.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
84.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
84.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
84.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
84.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
84.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
83.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
83.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
83.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
82.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
81.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
81.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
80.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
79.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
79.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
79.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
79.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
78.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
77.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
77.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
76.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
76.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
76.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
76.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
76.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
75.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
75.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
74.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
74.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
73.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
73.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
73.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
73.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
72.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
72.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
72.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
72.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
72.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
71.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
71.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
71.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
71.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
71.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
70.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
70.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
69.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
69.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
69.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
69.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
69.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
68.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
68.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
68.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
68.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
67.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
67.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
67.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
67.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
67.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
66.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
66.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
66.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
65.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
65.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
65.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
65.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
65.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
64.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
64.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
64.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
64.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
63.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
63.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
61.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
61.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
61.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
59.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
59.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
59.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
59.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
58.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
57.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
56.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
56.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
55.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
54.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
51.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
51.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
51.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
46.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
41.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.9
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.9
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
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.