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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.
PLP2 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
279.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
705.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
631.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
613.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
587.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
586.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
574.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
569.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
564.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
562.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
546.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
535.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
515.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
508.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
507.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
495.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
481.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
476.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
468.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
464.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
464.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
461.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
455.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
454.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
450.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
434.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
433.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
427.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
421.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
421.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
419.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
413.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
413.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
412.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
408.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
402.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
402.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
397.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
394.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
392.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
387.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
386.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
383.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
382.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
380.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
379.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
375.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
374.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
373.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
371.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
370.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
364.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
364.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
362.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
360.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
359.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
358.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
358.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
357.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
356.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
355.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
355.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
348.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
346.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
345.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
344.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
342.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
336.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
336.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
335.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
334.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
333.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
332.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
332.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
330.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
328.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
325.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
324.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
324.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
321.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
316.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
314.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
312.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
312.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
311.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
311.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
309.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
307.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
305.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
304.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
302.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
301.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
300.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
299.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
299.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
298.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
297.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
297.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
295.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
295.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
293.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
293.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
292.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
292.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
290.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
288.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
288.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
284.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
283.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
283.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
280.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
277.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
277.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
276.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
276.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
276.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
276.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
275.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
275.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
275.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
274.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
274.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
272.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
271.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
270.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
270.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
270.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
269.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
268.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
268.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
268.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
266.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
266.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
264.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
263.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
263.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
262.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
262.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
262.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
260.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
260.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
260.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
259.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
258.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
257.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
257.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
255.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
254.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
254.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
252.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
250.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
249.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
248.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
244.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
243.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
242.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
241.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
241.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
240.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
239.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
239.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
238.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
237.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
236.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
233.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
233.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
231.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
229.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
229.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
228.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
228.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
226.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
226.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
223.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
222.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
221.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
220.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
218.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
218.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
215.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
215.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
213.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
213.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
212.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
212.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
212.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
210.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
207.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
204.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
204.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
203.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
201.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
201.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
200.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
199.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
199.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
197.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
197.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
195.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
195.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
193.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
192.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
188.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
187.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
185.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
184.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
182.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
181.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
179.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
175.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
175.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
172.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
168.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
167.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
166.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
165.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
163.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
163.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
161.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
159.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
156.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
156.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
154.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
147.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
145.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
144.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
143.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
143.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
142.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
141.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
140.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
137.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
137.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
134.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
132.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
132.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
131.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
128.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
117.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
104.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
102.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
101.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
98.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
87.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
85.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
83.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
71.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
65.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
61.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
56.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
39.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
33.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
29.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 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.
PLP2 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
238.3
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
654.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
602.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
571.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
564.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
556.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
535.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
510.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
508.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
502.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
488.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
485.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
478.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
476.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
469.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
468.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
463.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
454.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
449.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
445.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
443.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
441.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
423.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
420.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
417.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
413.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
410.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
407.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
407.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
407.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
406.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
406.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
401.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
400.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
397.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
396.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
393.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
393.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
392.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
391.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
391.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
380.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
378.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
378.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
376.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
375.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
374.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
364.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
362.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
360.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
358.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
355.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
351.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
350.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
349.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
349.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
345.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
344.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
343.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
343.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
343.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
339.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
337.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
336.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
336.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
335.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
335.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
334.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
333.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
332.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
332.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
331.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
330.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
329.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
328.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
327.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
325.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
320.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
319.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
318.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
318.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
318.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
318.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
317.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
316.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
315.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
314.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
313.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
313.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
312.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
311.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
310.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
309.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
306.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
305.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
305.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
304.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
304.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
303.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
303.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
303.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
302.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
302.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
301.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
301.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
301.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
301.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
297.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
297.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
295.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
294.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
294.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
294.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
293.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
293.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
293.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
292.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
292.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
292.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
289.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
288.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
288.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
287.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
287.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
286.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
285.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
285.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
284.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
284.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
282.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
281.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
281.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
280.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
280.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
279.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
278.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
276.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
276.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
275.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
275.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
275.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
274.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
273.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
272.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
272.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
272.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
271.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
271.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
271.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
270.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
270.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
269.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
267.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
266.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
266.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
266.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
266.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
264.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
264.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
264.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
263.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
263.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
262.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
262.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
262.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
261.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
261.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
260.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
259.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
259.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
259.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
257.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
256.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
256.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
256.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
256.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
254.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
253.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
252.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
252.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
251.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
251.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
251.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
250.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
250.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
250.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
249.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
249.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
249.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
248.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
248.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
248.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
247.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
247.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
247.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
246.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
246.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
246.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
245.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
245.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
245.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
244.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
244.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
241.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
241.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
240.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
239.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
239.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
239.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
238.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
238.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
237.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
236.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
236.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
236.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
235.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
235.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
233.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
233.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
232.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
231.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
231.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
230.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
229.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
229.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
228.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
227.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
227.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
226.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
226.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
225.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
225.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
224.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
223.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
222.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
222.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
221.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
221.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
221.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
221.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
220.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
220.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
219.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
219.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
219.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
218.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
218.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
218.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
218.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
217.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
217.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
216.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
216.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
216.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
214.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
214.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
214.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
213.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
213.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
213.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
213.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
213.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
212.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
212.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
211.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
211.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
211.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
210.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
210.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
209.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
209.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
209.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
209.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
208.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
208.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
207.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
207.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
206.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
206.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
205.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
205.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
205.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
204.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
204.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
204.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
203.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
202.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
202.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
202.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
202.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
202.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
201.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
201.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
200.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
200.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
200.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
199.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
199.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
199.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
198.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
198.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
198.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
197.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
197.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
196.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
196.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
196.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
196.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
196.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
195.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
195.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
195.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
195.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
195.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
195.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
194.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
194.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
194.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
194.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
194.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
194.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
193.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
192.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
192.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
192.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
192.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
191.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
190.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
190.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
190.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
190.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
190.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
189.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
189.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
189.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
188.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
188.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
187.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
187.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
187.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
187.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
186.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
185.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
185.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
185.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
184.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
184.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
184.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
183.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
183.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
183.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
182.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
182.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
181.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
181.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
180.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
180.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
179.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
179.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
179.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
179.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
177.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
177.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
175.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
175.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
175.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
174.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
174.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
174.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
173.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
173.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
173.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
172.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
172.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
171.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
171.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
171.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
171.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
171.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
171.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
170.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
169.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
168.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
167.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
167.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
167.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
166.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
166.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
166.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
166.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
166.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
165.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
164.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
163.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
162.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
161.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
160.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
159.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
158.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
157.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
157.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
157.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
156.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
156.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
155.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
155.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
155.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
154.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
154.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
152.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
151.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
151.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
149.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
149.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
149.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
149.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
148.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
148.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
148.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
147.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
147.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
147.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
147.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
146.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
144.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
144.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
144.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
143.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
141.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
141.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
140.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
140.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
140.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
139.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
138.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
138.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
137.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
137.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
137.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
135.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
135.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
134.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
133.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
132.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
131.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
131.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
130.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
127.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
127.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
127.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
126.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
124.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
124.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
123.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
122.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
120.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
119.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
118.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
117.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
113.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
112.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
111.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
111.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
111.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
110.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
110.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
108.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
107.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
103.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
102.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
100.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
98.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
97.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
95.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
92.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
89.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
88.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
88.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
85.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
80.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
77.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
72.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
66.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.5
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.
PLP2 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
303.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
735.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
707.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
581.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
579.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
545.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
534.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
530.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
513.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
497.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
472.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
466.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
460.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
428.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
419.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
413.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
412.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
406.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
390.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
383.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
380.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
373.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
361.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
358.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
358.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
356.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
356.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
356.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
353.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
351.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
348.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
348.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
334.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
325.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
325.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
322.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
320.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
310.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
309.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
305.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
304.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
300.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
294.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
286.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
285.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
282.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
281.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
280.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
278.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
272.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
269.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
268.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
265.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
261.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
254.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
253.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
251.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
248.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
243.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
242.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
239.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
238.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
229.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
223.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
221.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
220.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
214.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
214.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
209.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
208.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
208.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
207.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
207.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
188.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
184.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
176.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
175.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
148.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
140.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
135.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
130.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
128.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
125.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
122.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
111.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
111.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
97.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
59.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 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.
PLP2 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
208.9
Number of samples
207
Samples
Sample
Description
TPM
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
509.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
500.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
472.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
429.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
424.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
419.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
411.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
409.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
402.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
386.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
386.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
379.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
373.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
367.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
360.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
360.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
357.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
353.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
352.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
348.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
345.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
337.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
306.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
305.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
303.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
302.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
297.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
293.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
292.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
285.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
282.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
276.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
273.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
273.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
272.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
272.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
271.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
269.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
269.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
268.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
267.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
266.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
266.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
265.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
264.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
264.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
261.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
261.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
258.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
256.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
255.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
255.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
254.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
254.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
253.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
253.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
252.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
251.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
249.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
247.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
247.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
247.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
246.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
241.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
240.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
239.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
239.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
238.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
237.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
236.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
235.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
234.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
232.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
231.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
227.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
227.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
226.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
225.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
224.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
224.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
223.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
220.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
220.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
218.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
213.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
212.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
211.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
211.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
208.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
206.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
205.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
204.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
204.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
204.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
203.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
203.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
201.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
201.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
201.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
201.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
199.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
199.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
198.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
198.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
197.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
195.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
193.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
193.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
191.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
191.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
190.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
188.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
188.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
186.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
186.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
185.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
182.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
181.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
181.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
180.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
178.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
177.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
177.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
176.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
173.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
172.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
171.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
169.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
168.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
167.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
167.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
167.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
166.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
165.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
163.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
163.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
163.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
162.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
162.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
161.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
159.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
159.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
158.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
158.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
157.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
157.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
155.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
154.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
151.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
151.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
149.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
149.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
147.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
147.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
147.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
145.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
145.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
143.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
142.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
140.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
138.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
138.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
137.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
137.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
137.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
136.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
135.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
135.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
134.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
132.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
130.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
129.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
129.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
129.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
128.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
128.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
126.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
124.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
123.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
123.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
122.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
121.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
121.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
120.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
116.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
116.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
114.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
113.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
109.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
107.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
107.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
104.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
102.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
100.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
99.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
99.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
99.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
98.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
97.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
97.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
92.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
88.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
88.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
45.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
26.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.0
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.